Unify and streamline profile system architecture (#853)
* move claude rules and commands to assets/claude * update claude profile to copy assets/claude to .claude * fix formatting * feat(profiles): Implement unified profile system - Convert Claude and Codex profiles to use createProfile() factory - Remove simple vs complex profile distinction in rule transformer - Unify convertAllRulesToProfileRules() to handle all profiles consistently - Fix mcpConfigPath construction in base-profile.js for null mcpConfigName - Update terminology from 'simpleProfiles' to 'assetOnlyProfiles' throughout - Ensure Claude .claude directory copying works in both CLI and MCP contexts - All profiles now follow same execution flow with proper lifecycle functions Changes: - src/profiles/claude.js: Convert to createProfile() factory pattern - src/profiles/codex.js: Convert to createProfile() factory pattern - src/utils/rule-transformer.js: Unified profile handling logic - src/utils/profiles.js: Remove simple profile categorization - src/profiles/base-profile.js: Fix mcpConfigPath construction - scripts/modules/commands.js: Update variable naming - tests/: Update all tests for unified system and terminology Fixes Claude profile asset copying issue in MCP context. All tests passing (617 passed, 11 skipped). * re-checkin claude files * fix formatting * chore: clean up test Claude rules files * chore: add changeset for unified profile system * add claude files back * add changeset * restore proper gitignore * remove claude agents file from root * remove incorrect doc * simplify profiles and update tests * update changeset * update changeset * remove profile specific code * streamline profiles with defaults and update tests * update changeset * add newline at end of gitignore * restore changes * streamline profiles with defaults; update tests and add vscode test * update rule profile tests * update wording for clearer profile management * refactor and clarify terminology * use original projectRoot var name * revert param desc * use updated claude assets from neno * add "YOUR_" before api key here * streamline codex profile * add gemini profile * update gemini profile * update tests * relocate function * update rules interactive setup Gemini desc * remove duplicative code * add comma
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assets/claude/commands/tm/add-task/add-task.md
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Add new tasks with intelligent parsing and context awareness.
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Arguments: $ARGUMENTS
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## Smart Task Addition
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Parse natural language to create well-structured tasks.
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### 1. **Input Understanding**
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I'll intelligently parse your request:
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- Natural language → Structured task
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- Detect priority from keywords (urgent, ASAP, important)
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- Infer dependencies from context
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- Suggest complexity based on description
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- Determine task type (feature, bug, refactor, test, docs)
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### 2. **Smart Parsing Examples**
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**"Add urgent task to fix login bug"**
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→ Title: Fix login bug
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→ Priority: high
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→ Type: bug
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→ Suggested complexity: medium
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**"Create task for API documentation after task 23 is done"**
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→ Title: API documentation
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→ Dependencies: [23]
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→ Type: documentation
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→ Priority: medium
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**"Need to refactor auth module - depends on 12 and 15, high complexity"**
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→ Title: Refactor auth module
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→ Dependencies: [12, 15]
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→ Complexity: high
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→ Type: refactor
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### 3. **Context Enhancement**
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Based on current project state:
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- Suggest related existing tasks
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- Warn about potential conflicts
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- Recommend dependencies
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- Propose subtasks if complex
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### 4. **Interactive Refinement**
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```yaml
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Task Preview:
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─────────────
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Title: [Extracted title]
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Priority: [Inferred priority]
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Dependencies: [Detected dependencies]
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Complexity: [Estimated complexity]
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Suggestions:
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- Similar task #34 exists, consider as dependency?
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- This seems complex, break into subtasks?
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- Tasks #45-47 work on same module
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```
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### 5. **Validation & Creation**
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Before creating:
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- Validate dependencies exist
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- Check for duplicates
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- Ensure logical ordering
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- Verify task completeness
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### 6. **Smart Defaults**
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Intelligent defaults based on:
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- Task type patterns
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- Team conventions
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- Historical data
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- Current sprint/phase
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Result: High-quality tasks from minimal input.
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