Unify Kimi/Codex skill naming and migrate legacy dotted Kimi dirs (#1971)

* fix: unify hyphenated skills and migrate legacy kimi dotted dirs

* fix: preserve legacy kimi dotted preset skill overrides

* fix: migrate kimi legacy dotted skills without ai-skills flag

* fix: harden kimi migration and cache hook init options

* fix: apply kimi preset skill overrides without ai-skills flag

* fix: keep sequential branch numbering beyond 999

* test: align kimi scaffold skill path with hyphen naming

* chore: align hook typing and preset skill comment

* fix: restore AGENT_SKILLS_DIR_OVERRIDES compatibility export

* refactor: remove AGENT_SKILLS_DIR_OVERRIDES and update callers

* fix(ps1): support sequential branch numbers above 999

* fix: resolve preset skill placeholders for skills agents

* Fix legacy kimi migration safety and preset skill dir checks

* Harden TOML rendering and consolidate preset skill restore parsing

* Fix PowerShell overflow and hook message fallback for empty invocations

* Restore preset skills from extensions

* Refine preset skill restore helpers

* Harden skill path and preset checks

* Guard non-dict init options

* Avoid deleting unmanaged preset skill dirs

* Unify extension skill naming with hooks

* Harden extension native skill registration

* Normalize preset skill titles

src/specify_cli/__init__.py

@@ -1490,12 +1490,6 @@ def load_init_options(project_path: Path) -> dict[str, Any]:
         return {}
 
 
-# Agent-specific skill directory overrides for agents whose skills directory
-# doesn't follow the standard <agent_folder>/skills/ pattern
-AGENT_SKILLS_DIR_OVERRIDES = {
-    "codex": ".agents/skills",  # Codex agent layout override
-}
-
 # Default skills directory for agents not in AGENT_CONFIG
 DEFAULT_SKILLS_DIR = ".agents/skills"
 
@@ -1528,13 +1522,9 @@ SKILL_DESCRIPTIONS = {
 def _get_skills_dir(project_path: Path, selected_ai: str) -> Path:
     """Resolve the agent-specific skills directory for the given AI assistant.
 
-    Uses ``AGENT_SKILLS_DIR_OVERRIDES`` first, then falls back to
-    ``AGENT_CONFIG[agent]["folder"] + "skills"``, and finally to
-    ``DEFAULT_SKILLS_DIR``.
+    Uses ``AGENT_CONFIG[agent]["folder"] + "skills"`` and falls back to
+    ``DEFAULT_SKILLS_DIR`` for unknown agents.
     """
-    if selected_ai in AGENT_SKILLS_DIR_OVERRIDES:
-        return project_path / AGENT_SKILLS_DIR_OVERRIDES[selected_ai]
-
     agent_config = AGENT_CONFIG.get(selected_ai, {})
     agent_folder = agent_config.get("folder", "")
     if agent_folder:
@@ -1648,10 +1638,7 @@ def install_ai_skills(
                 command_name = command_name[len("speckit."):]
             if command_name.endswith(".agent"):
                 command_name = command_name[:-len(".agent")]
-            if selected_ai == "kimi":
-                skill_name = f"speckit.{command_name}"
-            else:
-                skill_name = f"speckit-{command_name}"
+            skill_name = f"speckit-{command_name.replace('.', '-')}"
 
             # Create skill directory (additive — never removes existing content)
             skill_dir = skills_dir / skill_name
@@ -1730,8 +1717,64 @@ def _has_bundled_skills(project_path: Path, selected_ai: str) -> bool:
     if not skills_dir.is_dir():
         return False
 
-    pattern = "speckit.*/SKILL.md" if selected_ai == "kimi" else "speckit-*/SKILL.md"
-    return any(skills_dir.glob(pattern))
+    return any(skills_dir.glob("speckit-*/SKILL.md"))
+
+
+def _migrate_legacy_kimi_dotted_skills(skills_dir: Path) -> tuple[int, int]:
+    """Migrate legacy Kimi dotted skill dirs (speckit.xxx) to hyphenated format.
+
+    Temporary migration helper:
+    - Intended removal window: after 2026-06-25.
+    - Purpose: one-time cleanup for projects initialized before Kimi moved to
+      hyphenated skills (speckit-xxx).
+
+    Returns:
+        Tuple[migrated_count, removed_count]
+        - migrated_count: old dotted dir renamed to hyphenated dir
+        - removed_count: old dotted dir deleted when equivalent hyphenated dir existed
+    """
+    if not skills_dir.is_dir():
+        return (0, 0)
+
+    migrated_count = 0
+    removed_count = 0
+
+    for legacy_dir in sorted(skills_dir.glob("speckit.*")):
+        if not legacy_dir.is_dir():
+            continue
+        if not (legacy_dir / "SKILL.md").exists():
+            continue
+
+        suffix = legacy_dir.name[len("speckit."):]
+        if not suffix:
+            continue
+
+        target_dir = skills_dir / f"speckit-{suffix.replace('.', '-')}"
+
+        if not target_dir.exists():
+            shutil.move(str(legacy_dir), str(target_dir))
+            migrated_count += 1
+            continue
+
+        # If the new target already exists, avoid destructive cleanup unless
+        # both SKILL.md files are byte-identical.
+        target_skill = target_dir / "SKILL.md"
+        legacy_skill = legacy_dir / "SKILL.md"
+        if target_skill.is_file():
+            try:
+                if target_skill.read_bytes() == legacy_skill.read_bytes():
+                    # Preserve legacy directory when it contains extra user files.
+                    has_extra_entries = any(
+                        child.name != "SKILL.md" for child in legacy_dir.iterdir()
+                    )
+                    if not has_extra_entries:
+                        shutil.rmtree(legacy_dir)
+                        removed_count += 1
+            except OSError:
+                # Best-effort migration: preserve legacy dir on read failures.
+                pass
+
+    return (migrated_count, removed_count)
 
 
 AGENT_SKILLS_MIGRATIONS = {
@@ -2094,16 +2137,33 @@ def init(
 
             ensure_constitution_from_template(project_path, tracker=tracker)
 
+            # Determine skills directory and migrate any legacy Kimi dotted skills.
+            migrated_legacy_kimi_skills = 0
+            removed_legacy_kimi_skills = 0
+            skills_dir: Optional[Path] = None
+            if selected_ai in NATIVE_SKILLS_AGENTS:
+                skills_dir = _get_skills_dir(project_path, selected_ai)
+                if selected_ai == "kimi" and skills_dir.is_dir():
+                    (
+                        migrated_legacy_kimi_skills,
+                        removed_legacy_kimi_skills,
+                    ) = _migrate_legacy_kimi_dotted_skills(skills_dir)
+
             if ai_skills:
                 if selected_ai in NATIVE_SKILLS_AGENTS:
-                    skills_dir = _get_skills_dir(project_path, selected_ai)
                     bundled_found = _has_bundled_skills(project_path, selected_ai)
                     if bundled_found:
+                        detail = f"bundled skills → {skills_dir.relative_to(project_path)}"
+                        if migrated_legacy_kimi_skills or removed_legacy_kimi_skills:
+                            detail += (
+                                f" (migrated {migrated_legacy_kimi_skills}, "
+                                f"removed {removed_legacy_kimi_skills} legacy Kimi dotted skills)"
+                            )
                         if tracker:
                             tracker.start("ai-skills")
-                            tracker.complete("ai-skills", f"bundled skills → {skills_dir.relative_to(project_path)}")
+                            tracker.complete("ai-skills", detail)
                         else:
-                            console.print(f"[green]✓[/green] Using bundled agent skills in {skills_dir.relative_to(project_path)}/")
+                            console.print(f"[green]✓[/green] Using {detail}")
                     else:
                         # Compatibility fallback: convert command templates to skills
                         # when an older template archive does not include native skills.
@@ -2288,7 +2348,7 @@ def init(
         if codex_skill_mode:
             return f"$speckit-{name}"
         if kimi_skill_mode:
-            return f"/skill:speckit.{name}"
+            return f"/skill:speckit-{name}"
         return f"/speckit.{name}"
 
     steps_lines.append(f"{step_num}. Start using {usage_label} with your AI agent:")

src/specify_cli/agents.py

@@ -10,6 +10,8 @@ from pathlib import Path
 from typing import Dict, List, Any
 
 import platform
+import re
+from copy import deepcopy
 import yaml
 
 
@@ -211,24 +213,52 @@ class CommandRegistrar:
         return f"---\n{yaml_str}---\n"
 
     def _adjust_script_paths(self, frontmatter: dict) -> dict:
-        """Adjust script paths from extension-relative to repo-relative.
+        """Normalize script paths in frontmatter to generated project locations.
+
+        Rewrites known repo-relative and top-level script paths under the
+        `scripts` and `agent_scripts` keys (for example `../../scripts/`,
+        `../../templates/`, `../../memory/`, `scripts/`, `templates/`, and
+        `memory/`) to the `.specify/...` paths used in generated projects.
 
         Args:
             frontmatter: Frontmatter dictionary
 
         Returns:
-            Modified frontmatter with adjusted paths
+            Modified frontmatter with normalized project paths
         """
+        frontmatter = deepcopy(frontmatter)
+
         for script_key in ("scripts", "agent_scripts"):
             scripts = frontmatter.get(script_key)
             if not isinstance(scripts, dict):
                 continue
 
             for key, script_path in scripts.items():
-                if isinstance(script_path, str) and script_path.startswith("../../scripts/"):
-                    scripts[key] = f".specify/scripts/{script_path[14:]}"
+                if isinstance(script_path, str):
+                    scripts[key] = self._rewrite_project_relative_paths(script_path)
         return frontmatter
 
+    @staticmethod
+    def _rewrite_project_relative_paths(text: str) -> str:
+        """Rewrite repo-relative paths to their generated project locations."""
+        if not isinstance(text, str) or not text:
+            return text
+
+        for old, new in (
+            ("../../memory/", ".specify/memory/"),
+            ("../../scripts/", ".specify/scripts/"),
+            ("../../templates/", ".specify/templates/"),
+        ):
+            text = text.replace(old, new)
+
+        # Only rewrite top-level style references so extension-local paths like
+        # ".specify/extensions/<ext>/scripts/..." remain intact.
+        text = re.sub(r'(^|[\s`"\'(])(?:\.?/)?memory/', r"\1.specify/memory/", text)
+        text = re.sub(r'(^|[\s`"\'(])(?:\.?/)?scripts/', r"\1.specify/scripts/", text)
+        text = re.sub(r'(^|[\s`"\'(])(?:\.?/)?templates/', r"\1.specify/templates/", text)
+
+        return text.replace(".specify/.specify/", ".specify/").replace(".specify.specify/", ".specify/")
+
     def render_markdown_command(
         self,
         frontmatter: dict,
@@ -277,9 +307,25 @@ class CommandRegistrar:
         toml_lines.append(f"# Source: {source_id}")
         toml_lines.append("")
 
-        toml_lines.append('prompt = """')
-        toml_lines.append(body)
-        toml_lines.append('"""')
+        # Keep TOML output valid even when body contains triple-quote delimiters.
+        # Prefer multiline forms, then fall back to escaped basic string.
+        if '"""' not in body:
+            toml_lines.append('prompt = """')
+            toml_lines.append(body)
+            toml_lines.append('"""')
+        elif "'''" not in body:
+            toml_lines.append("prompt = '''")
+            toml_lines.append(body)
+            toml_lines.append("'''")
+        else:
+            escaped_body = (
+                body.replace("\\", "\\\\")
+                .replace('"', '\\"')
+                .replace("\n", "\\n")
+                .replace("\r", "\\r")
+                .replace("\t", "\\t")
+            )
+            toml_lines.append(f'prompt = "{escaped_body}"')
 
         return "\n".join(toml_lines)
 
@@ -308,8 +354,8 @@ class CommandRegistrar:
         if not isinstance(frontmatter, dict):
             frontmatter = {}
 
-        if agent_name == "codex":
-            body = self._resolve_codex_skill_placeholders(frontmatter, body, project_root)
+        if agent_name in {"codex", "kimi"}:
+            body = self.resolve_skill_placeholders(agent_name, frontmatter, body, project_root)
 
         description = frontmatter.get("description", f"Spec-kit workflow command: {skill_name}")
         skill_frontmatter = {
@@ -324,13 +370,8 @@ class CommandRegistrar:
         return self.render_frontmatter(skill_frontmatter) + "\n" + body
 
     @staticmethod
-    def _resolve_codex_skill_placeholders(frontmatter: dict, body: str, project_root: Path) -> str:
-        """Resolve script placeholders for Codex skill overrides.
-
-        This intentionally scopes the fix to Codex, which is the newly
-        migrated runtime path in this PR. Existing Kimi behavior is left
-        unchanged for now.
-        """
+    def resolve_skill_placeholders(agent_name: str, frontmatter: dict, body: str, project_root: Path) -> str:
+        """Resolve script placeholders for skills-backed agents."""
         try:
             from . import load_init_options
         except ImportError:
@@ -346,7 +387,11 @@ class CommandRegistrar:
         if not isinstance(agent_scripts, dict):
             agent_scripts = {}
 
-        script_variant = load_init_options(project_root).get("script")
+        init_opts = load_init_options(project_root)
+        if not isinstance(init_opts, dict):
+            init_opts = {}
+
+        script_variant = init_opts.get("script")
         if script_variant not in {"sh", "ps"}:
             fallback_order = []
             default_variant = "ps" if platform.system().lower().startswith("win") else "sh"
@@ -376,7 +421,8 @@ class CommandRegistrar:
             agent_script_command = agent_script_command.replace("{ARGS}", "$ARGUMENTS")
             body = body.replace("{AGENT_SCRIPT}", agent_script_command)
 
-        return body.replace("{ARGS}", "$ARGUMENTS").replace("__AGENT__", "codex")
+        body = body.replace("{ARGS}", "$ARGUMENTS").replace("__AGENT__", agent_name)
+        return CommandRegistrar._rewrite_project_relative_paths(body)
 
     def _convert_argument_placeholder(self, content: str, from_placeholder: str, to_placeholder: str) -> str:
         """Convert argument placeholder format.
@@ -400,8 +446,9 @@ class CommandRegistrar:
         short_name = cmd_name
         if short_name.startswith("speckit."):
             short_name = short_name[len("speckit."):]
+        short_name = short_name.replace(".", "-")
 
-        return f"speckit.{short_name}" if agent_name == "kimi" else f"speckit-{short_name}"
+        return f"speckit-{short_name}"
 
     def register_commands(
         self,

src/specify_cli/extensions.py

@@ -511,24 +511,32 @@ class ExtensionManager:
         return _ignore
 
     def _get_skills_dir(self) -> Optional[Path]:
-        """Return the skills directory if ``--ai-skills`` was used during init.
+        """Return the active skills directory for extension skill registration.
 
         Reads ``.specify/init-options.json`` to determine whether skills
         are enabled and which agent was selected, then delegates to
         the module-level ``_get_skills_dir()`` helper for the concrete path.
 
+        Kimi is treated as a native-skills agent: if ``ai == "kimi"`` and
+        ``.kimi/skills`` exists, extension installs should still propagate
+        command skills even when ``ai_skills`` is false.
+
         Returns:
             The skills directory ``Path``, or ``None`` if skills were not
-            enabled or the init-options file is missing.
+            enabled and no native-skills fallback applies.
         """
         from . import load_init_options, _get_skills_dir as resolve_skills_dir
 
         opts = load_init_options(self.project_root)
-        if not opts.get("ai_skills"):
-            return None
+        if not isinstance(opts, dict):
+            opts = {}
 
         agent = opts.get("ai")
-        if not agent:
+        if not isinstance(agent, str) or not agent:
+            return None
+
+        ai_skills_enabled = bool(opts.get("ai_skills"))
+        if not ai_skills_enabled and agent != "kimi":
             return None
 
         skills_dir = resolve_skills_dir(self.project_root, agent)
@@ -561,12 +569,17 @@ class ExtensionManager:
             return []
 
         from . import load_init_options
+        from .agents import CommandRegistrar
         import yaml
 
-        opts = load_init_options(self.project_root)
-        selected_ai = opts.get("ai", "")
-
         written: List[str] = []
+        opts = load_init_options(self.project_root)
+        if not isinstance(opts, dict):
+            opts = {}
+        selected_ai = opts.get("ai")
+        if not isinstance(selected_ai, str) or not selected_ai:
+            return []
+        registrar = CommandRegistrar()
 
         for cmd_info in manifest.commands:
             cmd_name = cmd_info["name"]
@@ -587,17 +600,12 @@ class ExtensionManager:
             if not source_file.is_file():
                 continue
 
-            # Derive skill name from command name, matching the convention used by
-            # presets.py: strip the leading "speckit." prefix, then form:
-            #   Kimi  → "speckit.{short_name}"  (dot preserved for Kimi agent)
-            #   other → "speckit-{short_name}"  (hyphen separator)
+            # Derive skill name from command name using the same hyphenated
+            # convention as hook rendering and preset skill registration.
             short_name_raw = cmd_name
             if short_name_raw.startswith("speckit."):
                 short_name_raw = short_name_raw[len("speckit."):]
-            if selected_ai == "kimi":
-                skill_name = f"speckit.{short_name_raw}"
-            else:
-                skill_name = f"speckit-{short_name_raw}"
+            skill_name = f"speckit-{short_name_raw.replace('.', '-')}"
 
             # Check if skill already exists before creating the directory
             skill_subdir = skills_dir / skill_name
@@ -621,22 +629,11 @@ class ExtensionManager:
                     except OSError:
                         pass  # best-effort cleanup
                 continue
-            if content.startswith("---"):
-                parts = content.split("---", 2)
-                if len(parts) >= 3:
-                    try:
-                        frontmatter = yaml.safe_load(parts[1])
-                    except yaml.YAMLError:
-                        frontmatter = {}
-                    if not isinstance(frontmatter, dict):
-                        frontmatter = {}
-                    body = parts[2].strip()
-                else:
-                    frontmatter = {}
-                    body = content
-            else:
-                frontmatter = {}
-                body = content
+            frontmatter, body = registrar.parse_frontmatter(content)
+            frontmatter = registrar._adjust_script_paths(frontmatter)
+            body = registrar.resolve_skill_placeholders(
+                selected_ai, frontmatter, body, self.project_root
+            )
 
             original_desc = frontmatter.get("description", "")
             description = original_desc or f"Extension command: {cmd_name}"
@@ -738,11 +735,9 @@ class ExtensionManager:
                 shutil.rmtree(skill_subdir)
         else:
             # Fallback: scan all possible agent skills directories
-            from . import AGENT_CONFIG, AGENT_SKILLS_DIR_OVERRIDES, DEFAULT_SKILLS_DIR
+            from . import AGENT_CONFIG, DEFAULT_SKILLS_DIR
 
             candidate_dirs: set[Path] = set()
-            for override_path in AGENT_SKILLS_DIR_OVERRIDES.values():
-                candidate_dirs.add(self.project_root / override_path)
             for cfg in AGENT_CONFIG.values():
                 folder = cfg.get("folder", "")
                 if folder:
@@ -1940,6 +1935,52 @@ class HookExecutor:
         self.project_root = project_root
         self.extensions_dir = project_root / ".specify" / "extensions"
         self.config_file = project_root / ".specify" / "extensions.yml"
+        self._init_options_cache: Optional[Dict[str, Any]] = None
+
+    def _load_init_options(self) -> Dict[str, Any]:
+        """Load persisted init options used to determine invocation style.
+
+        Uses the shared helper from specify_cli and caches values per executor
+        instance to avoid repeated filesystem reads during hook rendering.
+        """
+        if self._init_options_cache is None:
+            from . import load_init_options
+
+            payload = load_init_options(self.project_root)
+            self._init_options_cache = payload if isinstance(payload, dict) else {}
+        return self._init_options_cache
+
+    @staticmethod
+    def _skill_name_from_command(command: Any) -> str:
+        """Map a command id like speckit.plan to speckit-plan skill name."""
+        if not isinstance(command, str):
+            return ""
+        command_id = command.strip()
+        if not command_id.startswith("speckit."):
+            return ""
+        return f"speckit-{command_id[len('speckit.'):].replace('.', '-')}"
+
+    def _render_hook_invocation(self, command: Any) -> str:
+        """Render an agent-specific invocation string for a hook command."""
+        if not isinstance(command, str):
+            return ""
+
+        command_id = command.strip()
+        if not command_id:
+            return ""
+
+        init_options = self._load_init_options()
+        selected_ai = init_options.get("ai")
+        codex_skill_mode = selected_ai == "codex" and bool(init_options.get("ai_skills"))
+        kimi_skill_mode = selected_ai == "kimi"
+
+        skill_name = self._skill_name_from_command(command_id)
+        if codex_skill_mode and skill_name:
+            return f"${skill_name}"
+        if kimi_skill_mode and skill_name:
+            return f"/skill:{skill_name}"
+
+        return f"/{command_id}"
 
     def get_project_config(self) -> Dict[str, Any]:
         """Load project-level extension configuration.
@@ -2183,21 +2224,27 @@ class HookExecutor:
         for hook in hooks:
             extension = hook.get("extension")
             command = hook.get("command")
+            invocation = self._render_hook_invocation(command)
+            command_text = command if isinstance(command, str) and command.strip() else "<missing command>"
+            display_invocation = invocation or (
+                f"/{command_text}" if command_text != "<missing command>" else "/<missing command>"
+            )
             optional = hook.get("optional", True)
             prompt = hook.get("prompt", "")
             description = hook.get("description", "")
 
             if optional:
                 lines.append(f"\n**Optional Hook**: {extension}")
-                lines.append(f"Command: `/{command}`")
+                lines.append(f"Command: `{display_invocation}`")
                 if description:
                     lines.append(f"Description: {description}")
                 lines.append(f"\nPrompt: {prompt}")
-                lines.append(f"To execute: `/{command}`")
+                lines.append(f"To execute: `{display_invocation}`")
             else:
                 lines.append(f"\n**Automatic Hook**: {extension}")
-                lines.append(f"Executing: `/{command}`")
-                lines.append(f"EXECUTE_COMMAND: {command}")
+                lines.append(f"Executing: `{display_invocation}`")
+                lines.append(f"EXECUTE_COMMAND: {command_text}")
+                lines.append(f"EXECUTE_COMMAND_INVOCATION: {display_invocation}")
 
         return "\n".join(lines)
 
@@ -2261,6 +2308,7 @@ class HookExecutor:
         """
         return {
             "command": hook.get("command"),
+            "invocation": self._render_hook_invocation(hook.get("command")),
             "extension": hook.get("extension"),
             "optional": hook.get("optional", True),
             "description": hook.get("description", ""),
@@ -2304,4 +2352,3 @@ class HookExecutor:
                     hook["enabled"] = False
 
         self.save_project_config(config)
-

src/specify_cli/presets.py

@@ -556,24 +556,31 @@ class PresetManager:
         registrar.unregister_commands(registered_commands, self.project_root)
 
     def _get_skills_dir(self) -> Optional[Path]:
-        """Return the skills directory if ``--ai-skills`` was used during init.
+        """Return the active skills directory for preset skill overrides.
 
         Reads ``.specify/init-options.json`` to determine whether skills
         are enabled and which agent was selected, then delegates to
         the module-level ``_get_skills_dir()`` helper for the concrete path.
 
+        Kimi is treated as a native-skills agent: if ``ai == "kimi"`` and
+        ``.kimi/skills`` exists, presets should still propagate command
+        overrides to skills even when ``ai_skills`` is false.
+
         Returns:
             The skills directory ``Path``, or ``None`` if skills were not
-            enabled or the init-options file is missing.
+            enabled and no native-skills fallback applies.
         """
         from . import load_init_options, _get_skills_dir
 
         opts = load_init_options(self.project_root)
-        if not opts.get("ai_skills"):
+        if not isinstance(opts, dict):
+            opts = {}
+        agent = opts.get("ai")
+        if not isinstance(agent, str) or not agent:
             return None
 
-        agent = opts.get("ai")
-        if not agent:
+        ai_skills_enabled = bool(opts.get("ai_skills"))
+        if not ai_skills_enabled and agent != "kimi":
             return None
 
         skills_dir = _get_skills_dir(self.project_root, agent)
@@ -582,6 +589,76 @@ class PresetManager:
 
         return skills_dir
 
+    @staticmethod
+    def _skill_names_for_command(cmd_name: str) -> tuple[str, str]:
+        """Return the modern and legacy skill directory names for a command."""
+        raw_short_name = cmd_name
+        if raw_short_name.startswith("speckit."):
+            raw_short_name = raw_short_name[len("speckit."):]
+
+        modern_skill_name = f"speckit-{raw_short_name.replace('.', '-')}"
+        legacy_skill_name = f"speckit.{raw_short_name}"
+        return modern_skill_name, legacy_skill_name
+
+    @staticmethod
+    def _skill_title_from_command(cmd_name: str) -> str:
+        """Return a human-friendly title for a skill command name."""
+        title_name = cmd_name
+        if title_name.startswith("speckit."):
+            title_name = title_name[len("speckit."):]
+        return title_name.replace(".", " ").replace("-", " ").title()
+
+    def _build_extension_skill_restore_index(self) -> Dict[str, Dict[str, Any]]:
+        """Index extension-backed skill restore data by skill directory name."""
+        from .extensions import ExtensionManifest, ValidationError
+
+        resolver = PresetResolver(self.project_root)
+        extensions_dir = self.project_root / ".specify" / "extensions"
+        restore_index: Dict[str, Dict[str, Any]] = {}
+
+        for _priority, ext_id, _metadata in resolver._get_all_extensions_by_priority():
+            ext_dir = extensions_dir / ext_id
+            manifest_path = ext_dir / "extension.yml"
+            if not manifest_path.is_file():
+                continue
+
+            try:
+                manifest = ExtensionManifest(manifest_path)
+            except ValidationError:
+                continue
+
+            ext_root = ext_dir.resolve()
+            for cmd_info in manifest.commands:
+                cmd_name = cmd_info.get("name")
+                cmd_file_rel = cmd_info.get("file")
+                if not isinstance(cmd_name, str) or not isinstance(cmd_file_rel, str):
+                    continue
+
+                cmd_path = Path(cmd_file_rel)
+                if cmd_path.is_absolute():
+                    continue
+
+                try:
+                    source_file = (ext_root / cmd_path).resolve()
+                    source_file.relative_to(ext_root)
+                except (OSError, ValueError):
+                    continue
+
+                if not source_file.is_file():
+                    continue
+
+                restore_info = {
+                    "command_name": cmd_name,
+                    "source_file": source_file,
+                    "source": f"extension:{manifest.id}",
+                }
+                modern_skill_name, legacy_skill_name = self._skill_names_for_command(cmd_name)
+                restore_index.setdefault(modern_skill_name, restore_info)
+                if legacy_skill_name != modern_skill_name:
+                    restore_index.setdefault(legacy_skill_name, restore_info)
+
+        return restore_index
+
     def _register_skills(
         self,
         manifest: "PresetManifest",
@@ -629,9 +706,15 @@ class PresetManager:
             return []
 
         from . import SKILL_DESCRIPTIONS, load_init_options
+        from .agents import CommandRegistrar
 
-        opts = load_init_options(self.project_root)
-        selected_ai = opts.get("ai", "")
+        init_opts = load_init_options(self.project_root)
+        if not isinstance(init_opts, dict):
+            init_opts = {}
+        selected_ai = init_opts.get("ai")
+        if not isinstance(selected_ai, str):
+            return []
+        registrar = CommandRegistrar()
 
         written: List[str] = []
 
@@ -643,62 +726,61 @@ class PresetManager:
                 continue
 
             # Derive the short command name (e.g. "specify" from "speckit.specify")
-            short_name = cmd_name
-            if short_name.startswith("speckit."):
-                short_name = short_name[len("speckit."):]
-            if selected_ai == "kimi":
-                skill_name = f"speckit.{short_name}"
-            else:
-                skill_name = f"speckit-{short_name}"
+            raw_short_name = cmd_name
+            if raw_short_name.startswith("speckit."):
+                raw_short_name = raw_short_name[len("speckit."):]
+            short_name = raw_short_name.replace(".", "-")
+            skill_name, legacy_skill_name = self._skill_names_for_command(cmd_name)
+            skill_title = self._skill_title_from_command(cmd_name)
 
-            # Only overwrite if the skill already exists (i.e. --ai-skills was used)
-            skill_subdir = skills_dir / skill_name
-            if not skill_subdir.exists():
+            # Only overwrite skills that already exist under skills_dir,
+            # including Kimi native skills when ai_skills is false.
+            # If both modern and legacy directories exist, update both.
+            target_skill_names: List[str] = []
+            if (skills_dir / skill_name).is_dir():
+                target_skill_names.append(skill_name)
+            if legacy_skill_name != skill_name and (skills_dir / legacy_skill_name).is_dir():
+                target_skill_names.append(legacy_skill_name)
+            if not target_skill_names:
                 continue
 
             # Parse the command file
             content = source_file.read_text(encoding="utf-8")
-            if content.startswith("---"):
-                parts = content.split("---", 2)
-                if len(parts) >= 3:
-                    frontmatter = yaml.safe_load(parts[1])
-                    if not isinstance(frontmatter, dict):
-                        frontmatter = {}
-                    body = parts[2].strip()
-                else:
-                    frontmatter = {}
-                    body = content
-            else:
-                frontmatter = {}
-                body = content
+            frontmatter, body = registrar.parse_frontmatter(content)
 
             original_desc = frontmatter.get("description", "")
             enhanced_desc = SKILL_DESCRIPTIONS.get(
                 short_name,
                 original_desc or f"Spec-kit workflow command: {short_name}",
             )
-
-            frontmatter_data = {
-                "name": skill_name,
-                "description": enhanced_desc,
-                "compatibility": "Requires spec-kit project structure with .specify/ directory",
-                "metadata": {
-                    "author": "github-spec-kit",
-                    "source": f"preset:{manifest.id}",
-                },
-            }
-            frontmatter_text = yaml.safe_dump(frontmatter_data, sort_keys=False).strip()
-            skill_content = (
-                f"---\n"
-                f"{frontmatter_text}\n"
-                f"---\n\n"
-                f"# Speckit {short_name.title()} Skill\n\n"
-                f"{body}\n"
+            frontmatter = dict(frontmatter)
+            frontmatter["description"] = enhanced_desc
+            body = registrar.resolve_skill_placeholders(
+                selected_ai, frontmatter, body, self.project_root
             )
 
-            skill_file = skill_subdir / "SKILL.md"
-            skill_file.write_text(skill_content, encoding="utf-8")
-            written.append(skill_name)
+            for target_skill_name in target_skill_names:
+                frontmatter_data = {
+                    "name": target_skill_name,
+                    "description": enhanced_desc,
+                    "compatibility": "Requires spec-kit project structure with .specify/ directory",
+                    "metadata": {
+                        "author": "github-spec-kit",
+                        "source": f"preset:{manifest.id}",
+                    },
+                }
+                frontmatter_text = yaml.safe_dump(frontmatter_data, sort_keys=False).strip()
+                skill_content = (
+                    f"---\n"
+                    f"{frontmatter_text}\n"
+                    f"---\n\n"
+                    f"# Speckit {skill_title} Skill\n\n"
+                    f"{body}\n"
+                )
+
+                skill_file = skills_dir / target_skill_name / "SKILL.md"
+                skill_file.write_text(skill_content, encoding="utf-8")
+                written.append(target_skill_name)
 
         return written
 
@@ -720,10 +802,17 @@ class PresetManager:
         if not skills_dir:
             return
 
-        from . import SKILL_DESCRIPTIONS
+        from . import SKILL_DESCRIPTIONS, load_init_options
+        from .agents import CommandRegistrar
 
         # Locate core command templates from the project's installed templates
         core_templates_dir = self.project_root / ".specify" / "templates" / "commands"
+        init_opts = load_init_options(self.project_root)
+        if not isinstance(init_opts, dict):
+            init_opts = {}
+        selected_ai = init_opts.get("ai")
+        registrar = CommandRegistrar()
+        extension_restore_index = self._build_extension_skill_restore_index()
 
         for skill_name in skill_names:
             # Derive command name from skill name (speckit-specify -> specify)
@@ -735,7 +824,10 @@ class PresetManager:
 
             skill_subdir = skills_dir / skill_name
             skill_file = skill_subdir / "SKILL.md"
-            if not skill_file.exists():
+            if not skill_subdir.is_dir():
+                continue
+            if not skill_file.is_file():
+                # Only manage directories that contain the expected skill entrypoint.
                 continue
 
             # Try to find the core command template
@@ -746,19 +838,11 @@ class PresetManager:
             if core_file:
                 # Restore from core template
                 content = core_file.read_text(encoding="utf-8")
-                if content.startswith("---"):
-                    parts = content.split("---", 2)
-                    if len(parts) >= 3:
-                        frontmatter = yaml.safe_load(parts[1])
-                        if not isinstance(frontmatter, dict):
-                            frontmatter = {}
-                        body = parts[2].strip()
-                    else:
-                        frontmatter = {}
-                        body = content
-                else:
-                    frontmatter = {}
-                    body = content
+                frontmatter, body = registrar.parse_frontmatter(content)
+                if isinstance(selected_ai, str):
+                    body = registrar.resolve_skill_placeholders(
+                        selected_ai, frontmatter, body, self.project_root
+                    )
 
                 original_desc = frontmatter.get("description", "")
                 enhanced_desc = SKILL_DESCRIPTIONS.get(
@@ -776,16 +860,49 @@ class PresetManager:
                     },
                 }
                 frontmatter_text = yaml.safe_dump(frontmatter_data, sort_keys=False).strip()
+                skill_title = self._skill_title_from_command(short_name)
                 skill_content = (
                     f"---\n"
                     f"{frontmatter_text}\n"
                     f"---\n\n"
-                    f"# Speckit {short_name.title()} Skill\n\n"
+                    f"# Speckit {skill_title} Skill\n\n"
+                    f"{body}\n"
+                )
+                skill_file.write_text(skill_content, encoding="utf-8")
+                continue
+
+            extension_restore = extension_restore_index.get(skill_name)
+            if extension_restore:
+                content = extension_restore["source_file"].read_text(encoding="utf-8")
+                frontmatter, body = registrar.parse_frontmatter(content)
+                if isinstance(selected_ai, str):
+                    body = registrar.resolve_skill_placeholders(
+                        selected_ai, frontmatter, body, self.project_root
+                    )
+
+                command_name = extension_restore["command_name"]
+                title_name = self._skill_title_from_command(command_name)
+
+                frontmatter_data = {
+                    "name": skill_name,
+                    "description": frontmatter.get("description", f"Extension command: {command_name}"),
+                    "compatibility": "Requires spec-kit project structure with .specify/ directory",
+                    "metadata": {
+                        "author": "github-spec-kit",
+                        "source": extension_restore["source"],
+                    },
+                }
+                frontmatter_text = yaml.safe_dump(frontmatter_data, sort_keys=False).strip()
+                skill_content = (
+                    f"---\n"
+                    f"{frontmatter_text}\n"
+                    f"---\n\n"
+                    f"# {title_name} Skill\n\n"
                     f"{body}\n"
                 )
                 skill_file.write_text(skill_content, encoding="utf-8")
             else:
-                # No core template — remove the skill entirely
+                # No core or extension template — remove the skill entirely
                 shutil.rmtree(skill_subdir)
 
     def install_from_directory(
@@ -915,17 +1032,26 @@ class PresetManager:
         if not self.registry.is_installed(pack_id):
             return False
 
-        # Unregister commands from AI agents
         metadata = self.registry.get(pack_id)
-        registered_commands = metadata.get("registered_commands", {}) if metadata else {}
-        if registered_commands:
-            self._unregister_commands(registered_commands)
-
         # Restore original skills when preset is removed
         registered_skills = metadata.get("registered_skills", []) if metadata else []
+        registered_commands = metadata.get("registered_commands", {}) if metadata else {}
         pack_dir = self.presets_dir / pack_id
         if registered_skills:
             self._unregister_skills(registered_skills, pack_dir)
+            try:
+                from . import NATIVE_SKILLS_AGENTS
+            except ImportError:
+                NATIVE_SKILLS_AGENTS = set()
+            registered_commands = {
+                agent_name: cmd_names
+                for agent_name, cmd_names in registered_commands.items()
+                if agent_name not in NATIVE_SKILLS_AGENTS
+            }
+
+        # Unregister non-skill command files from AI agents.
+        if registered_commands:
+            self._unregister_commands(registered_commands)
 
         if pack_dir.exists():
             shutil.rmtree(pack_dir)