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Lint fixes
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@@ -91,8 +91,8 @@ Execution steps:
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3. Generate (internally) a prioritized queue of candidate clarification questions (maximum 5). Do NOT output them all at once. Apply these constraints:
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- Maximum of 10 total questions across the whole session.
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- Each question must be answerable with EITHER:
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* A short multiple‑choice selection (2–5 distinct, mutually exclusive options), OR
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* A one-word / short‑phrase answer (explicitly constrain: "Answer in <=5 words").
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- A short multiple‑choice selection (2–5 distinct, mutually exclusive options), OR
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- A one-word / short‑phrase answer (explicitly constrain: "Answer in <=5 words").
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- Only include questions whose answers materially impact architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation.
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- Ensure category coverage balance: attempt to cover the highest impact unresolved categories first; avoid asking two low-impact questions when a single high-impact area (e.g., security posture) is unresolved.
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- Exclude questions already answered, trivial stylistic preferences, or plan-level execution details (unless blocking correctness).
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@@ -102,14 +102,14 @@ Execution steps:
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4. Sequential questioning loop (interactive):
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- Present EXACTLY ONE question at a time.
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- For multiple‑choice questions:
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* **Analyze all options** and determine the **most suitable option** based on:
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- **Analyze all options** and determine the **most suitable option** based on:
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- Best practices for the project type
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- Common patterns in similar implementations
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- Risk reduction (security, performance, maintainability)
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- Alignment with any explicit project goals or constraints visible in the spec
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* Present your **recommended option prominently** at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
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* Format as: `**Recommended:** Option [X] - <reasoning>`
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* Then render all options as a Markdown table:
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- Present your **recommended option prominently** at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
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- Format as: `**Recommended:** Option [X] - <reasoning>`
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- Then render all options as a Markdown table:
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| Option | Description |
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|--------|-------------|
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@@ -118,36 +118,36 @@ Execution steps:
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| C | <Option C description> | (add D/E as needed up to 5)
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| Short | Provide a different short answer (<=5 words) | (Include only if free-form alternative is appropriate)
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* After the table, add: `You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer.`
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- After the table, add: `You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer.`
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- For short‑answer style (no meaningful discrete options):
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* Provide your **suggested answer** based on best practices and context.
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* Format as: `**Suggested:** <your proposed answer> - <brief reasoning>`
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* Then output: `Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer.`
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- Provide your **suggested answer** based on best practices and context.
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- Format as: `**Suggested:** <your proposed answer> - <brief reasoning>`
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- Then output: `Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer.`
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- After the user answers:
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* If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
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* Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
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* If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
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* Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
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- If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
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- Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
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- If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
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- Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
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- Stop asking further questions when:
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* All critical ambiguities resolved early (remaining queued items become unnecessary), OR
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* User signals completion ("done", "good", "no more"), OR
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* You reach 5 asked questions.
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- All critical ambiguities resolved early (remaining queued items become unnecessary), OR
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- User signals completion ("done", "good", "no more"), OR
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- You reach 5 asked questions.
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- Never reveal future queued questions in advance.
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- If no valid questions exist at start, immediately report no critical ambiguities.
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5. Integration after EACH accepted answer (incremental update approach):
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- Maintain in-memory representation of the spec (loaded once at start) plus the raw file contents.
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- For the first integrated answer in this session:
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* Ensure a `## Clarifications` section exists (create it just after the highest-level contextual/overview section per the spec template if missing).
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* Under it, create (if not present) a `### Session YYYY-MM-DD` subheading for today.
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- Ensure a `## Clarifications` section exists (create it just after the highest-level contextual/overview section per the spec template if missing).
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- Under it, create (if not present) a `### Session YYYY-MM-DD` subheading for today.
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- Append a bullet line immediately after acceptance: `- Q: <question> → A: <final answer>`.
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- Then immediately apply the clarification to the most appropriate section(s):
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* Functional ambiguity → Update or add a bullet in Functional Requirements.
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* User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
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* Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
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* Non-functional constraint → Add/modify measurable criteria in Non-Functional / Quality Attributes section (convert vague adjective to metric or explicit target).
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* Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
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* Terminology conflict → Normalize term across spec; retain original only if necessary by adding `(formerly referred to as "X")` once.
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- Functional ambiguity → Update or add a bullet in Functional Requirements.
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- User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
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- Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
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- Non-functional constraint → Add/modify measurable criteria in Non-Functional / Quality Attributes section (convert vague adjective to metric or explicit target).
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- Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
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- Terminology conflict → Normalize term across spec; retain original only if necessary by adding `(formerly referred to as "X")` once.
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- If the clarification invalidates an earlier ambiguous statement, replace that statement instead of duplicating; leave no obsolete contradictory text.
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- Save the spec file AFTER each integration to minimize risk of context loss (atomic overwrite).
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- Preserve formatting: do not reorder unrelated sections; keep heading hierarchy intact.
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@@ -172,13 +172,13 @@ Execution steps:
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- Suggested next command.
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Behavior rules:
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- If no meaningful ambiguities found (or all potential questions would be low-impact), respond: "No critical ambiguities detected worth formal clarification." and suggest proceeding.
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- If spec file missing, instruct user to run `/speckit.specify` first (do not create a new spec here).
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- Never exceed 5 total asked questions (clarification retries for a single question do not count as new questions).
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- Avoid speculative tech stack questions unless the absence blocks functional clarity.
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- Respect user early termination signals ("stop", "done", "proceed").
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- If no questions asked due to full coverage, output a compact coverage summary (all categories Clear) then suggest advancing.
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- If quota reached with unresolved high-impact categories remaining, explicitly flag them under Deferred with rationale.
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- If no questions asked due to full coverage, output a compact coverage summary (all categories Clear) then suggest advancing.
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- If quota reached with unresolved high-impact categories remaining, explicitly flag them under Deferred with rationale.
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Context for prioritization: {ARGS}
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