Claude-skill-registry evolve
Use when spec and code diverge - AI analyzes mismatches, recommends update spec vs fix code with reasoning, handles evolution with user control or auto-updates
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/evolve" ~/.claude/skills/majiayu000-claude-skill-registry-evolve && rm -rf "$T"
skills/data/evolve/SKILL.mdSpec Evolution and Reconciliation
Overview
Handle spec/code mismatches through AI-guided analysis and user-controlled evolution.
Specs WILL diverge from code. This is normal and healthy. The question is: which should change?
This skill detects divergence, analyzes the mismatch, recommends resolution, and executes the change.
When to Use
Use this skill when:
- Code review detects spec/code mismatch
- Verification finds spec compliance issues
- Developer explicitly requests evolution
- Implementation reveals better approach than spec
- Spec ambiguity discovered during implementation
Auto-triggered by:
(when deviations found)sdd:review-code
(when compliance fails)sdd:verification-before-completion
Don't use this skill when:
- No mismatch exists (everything compliant)
- Spec doesn't exist yet → Use
sdd:spec - Multiple specs need consolidation → Use
sdd:spec-refactoring
Prerequisites
Ensure spec-kit is initialized:
{Skill: spec-kit}
If spec-kit prompts for restart, pause this workflow and resume after restart.
The Process
1. Detect Mismatches
Identify all spec/code divergences:
# Read spec cat specs/features/[feature-name].md # Compare to implementation # For each requirement in spec: # - What does spec say? # - What does code do? # - Do they match?
Categorize each mismatch:
- Missing in code: Spec requires it, code doesn't have it
- Extra in code: Code implements it, spec doesn't mention it
- Different behavior: Spec says X, code does Y
- Ambiguous spec: Spec unclear, code made assumption
Document all mismatches with:
- Spec requirement (quote from spec)
- Actual implementation (what code does)
- Location (file:line in code, section in spec)
2. Analyze Each Mismatch
For each mismatch, determine:
Type:
- Architectural (affects system design)
- Behavioral (changes functionality)
- Cosmetic (naming, organization, details)
Severity:
- Critical: Breaking change, security issue, data loss
- Major: Significant behavior change, API contract change
- Minor: Small deviation, non-breaking addition
- Trivial: Naming, formatting, implementation details
Impact:
- User-facing vs internal
- Breaking vs non-breaking
- Risky vs safe
3. Recommend Resolution
For each mismatch, recommend:
Option A: Update Spec
- When: Implementation reveals better approach
- Why: Spec was incomplete/wrong, code is better
- Impact: Spec changes to match reality
Option B: Fix Code
- When: Code deviates from intended design
- Why: Spec is correct, code is wrong
- Impact: Code changes to match spec
Option C: Clarify Spec
- When: Spec was ambiguous, code made reasonable choice
- Why: Make implicit explicit
- Impact: Spec expanded with details, code unchanged
Provide reasoning for recommendation:
- Why this option is best
- Trade-offs of alternatives
- Risk assessment
- User impact
4. Decide Resolution
Decision flow:
Is this mismatch trivial/minor AND auto-update enabled? Yes → Auto-update with notification No → Ask user to decide User decides: A) Update spec B) Fix code C) Clarify spec D) Defer (mark as known deviation)
Check user configuration:
{ "sdd": { "auto_update_spec": { "enabled": true, "threshold": "minor", // "none", "minor", "moderate" "notify": true } } }
Thresholds:
: Never auto-updatenone
: Auto-update trivial/minor mismatchesminor
: Include non-breaking behavioral changesmoderate
5. Execute Resolution
Option A: Update Spec
- Modify spec to match implementation
- Add to spec changelog
- Validate updated spec for soundness
- Commit spec change with clear message
# Update spec vim specs/features/[feature].md # Add changelog entry echo "- YYYY-MM-DD: Updated [requirement] to include [change]" >> specs/features/[feature].md # Commit git add specs/features/[feature].md git commit -m "Update spec: [change] Implementation revealed [reason for change]. Previous: [old requirement] Updated: [new requirement] 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>"
Option B: Fix Code
- Modify code to match spec
- Update tests if needed
- Verify spec compliance
- Commit code change
# Fix code [Make changes to match spec] # Update tests [Adjust tests to match spec] # Verify compliance [Run sdd:verification-before-completion] # Commit git add [files] git commit -m "Fix: Align [component] with spec Code was [what it did], spec requires [what spec says]. Updated to match spec requirement: [spec section] 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>"
Option C: Clarify Spec
- Add detail to spec (keep code unchanged)
- Make implicit assumptions explicit
- Add to spec changelog
- Commit clarification
Option D: Defer
- Document as known deviation
- Add to spec's "Known Deviations" section
- Note reason and plan to address
- Commit documentation
6. Verify Reconciliation
After resolution:
# Re-check spec compliance # Ensure mismatch is resolved # Verify no new mismatches introduced
Confirm:
- Spec and code now aligned
- Tests still passing
- No regressions introduced
Checklist
Use TodoWrite to track:
- Detect all spec/code mismatches
- Categorize each mismatch (type, severity, impact)
- Analyze and recommend resolution for each
- Check user configuration for auto-update
- Decide resolution (auto or ask user)
- Execute resolution (update spec, fix code, or clarify)
- Verify reconciliation complete
- Commit changes with clear messages
- Update documentation if needed
Examples
Example 1: Auto-Update (Minor Addition)
[During verification] Spec compliance check: 95% Mismatch detected: **Mismatch 1: Response includes timestamp (MINOR)** - **Spec says:** Return `{ id, name, email }` - **Code does:** Returns `{ id, name, email, updated_at }` - **Location:** src/api/users.ts:45, specs/features/user-api.md#response **Analysis:** - Type: Behavioral (but non-breaking addition) - Severity: Minor - Impact: Non-breaking, adds useful information **Recommendation: Update Spec (Option A)** **Reasoning:** - `updated_at` is standard practice for update endpoints - Provides useful information to clients - Non-breaking addition (clients can ignore it) - Implementation is better than spec **User config:** auto_update_spec.threshold = "minor" **Action:** Auto-updating spec... Updated specs/features/user-api.md: - Added `updated_at` to response format - Changelog: "2025-11-10: Added updated_at timestamp to responses" ✅ Spec updated ✅ Compliance now 100% ✅ Committed to git Notification: Spec auto-updated with updated_at field (minor addition)
Example 2: User Decision (Major Change)
[During code review] Spec compliance check: 85% Mismatch detected: **Mismatch 1: Validation behavior difference (MAJOR)** - **Spec says:** "Reject requests with invalid avatar_url, return 422" - **Code does:** "Accept invalid URLs, set avatar_url to null, return 200" - **Location:** src/middleware/validation.ts:78, specs/features/user-profile.md#validation **Analysis:** - Type: Behavioral (changes error handling) - Severity: Major - Impact: User-facing, affects API contract **Options:** **A) Update Spec - Lenient validation** - Pros: More user-friendly, prevents frustration - Cons: Inconsistent with other validation (strict) - Risk: Users might not know avatar failed **B) Fix Code - Strict validation** - Pros: Consistent with spec and other validation - Cons: Worse UX when URL is invalid - Risk: None (matches spec) **C) Clarify Spec - Explicit fallback** - Pros: Best of both (validate but handle gracefully) - Cons: More complex - Risk: None **Recommendation: Option C** **Reasoning:** Best practice is to validate input but handle gracefully. Update spec to explicitly define fallback behavior: validate URL, set to null if invalid, log warning, return success with indication. Which option do you prefer? User: C - explicit fallback You: Perfect. Updating spec to clarify fallback behavior... Updated spec: ## Validation Rules ### avatar_url - Must be valid URL format if provided - **Fallback behavior:** If URL validation fails: - Set avatar_url to null - Log validation error - Return 200 (success) with warning in response - Response includes: `warnings: ["avatar_url invalid, set to null"]` Code now matches clarified spec ✅ Spec compliance: 100% Committed to git ✅
Example 3: Fix Code (Spec Correct)
[During verification] Spec compliance check: 90% Mismatch detected: **Mismatch 1: Missing error handling (CRITICAL)** - **Spec says:** "Handle database connection errors with retry logic (3 attempts)" - **Code does:** "Single attempt, fails immediately on error" - **Location:** src/db/client.ts:34, specs/features/data-persistence.md#error-handling **Analysis:** - Type: Architectural (missing reliability mechanism) - Severity: Critical - Impact: Production reliability risk **Recommendation: Fix Code (Option B)** **Reasoning:** - Spec defines critical reliability requirement - Single-attempt fails too easily (production risk) - Retry logic is standard practice - Code is missing required feature **No user decision needed - critical spec requirement missing** Fixing code to implement retry logic... ```typescript // Added retry logic async function queryWithRetry(sql, params, attempts = 3) { for (let i = 0; i < attempts; i++) { try { return await db.query(sql, params); } catch (error) { if (i === attempts - 1) throw error; await sleep(1000 * (i + 1)); // Exponential backoff } } }
Tests updated to verify retry behavior ✅ Spec compliance: 100% ✅
Committed code fix ✅
## Auto-Update Configuration ### Recommended Settings **For solo projects:** ```json { "auto_update_spec": { "enabled": true, "threshold": "minor", "notify": true } }
For team projects:
{ "auto_update_spec": { "enabled": true, "threshold": "none", // Always ask "notify": true } }
For experimental work:
{ "auto_update_spec": { "enabled": true, "threshold": "moderate", "notify": true } }
Classification Guidelines
Minor (Auto-Update Eligible)
- Adding timestamps to responses
- Renaming variables/functions
- Reorganizing code structure
- Adding logging/instrumentation
- Implementation detail changes
Major (Always Ask)
- Changing API contracts
- Modifying behavior
- Adding/removing features
- Changing error handling
- Architectural changes
Critical (Usually Fix Code)
- Security issues
- Data integrity problems
- Missing required features
- Incorrect business logic
Common Patterns
Pattern: Better Error Messages
Mismatch: Spec says "return error", code returns detailed error with context
Resolution: Update spec (minor)
- More detailed errors are better
- Non-breaking improvement
Pattern: Missing Edge Case
Mismatch: Spec doesn't mention empty array, code handles it
Resolution: Clarify spec (add edge case)
- Make implicit explicit
- Document intended behavior
Pattern: Performance Optimization
Mismatch: Spec doesn't specify caching, code adds cache
Resolution: Update spec (moderate)
- Document optimization in spec
- Ensure cache behavior is correct
Pattern: Different Architecture
Mismatch: Spec implies synchronous, code is async
Resolution: Ask user (major)
- Significant architectural change
- May affect other components
Remember
Spec evolution is normal and healthy.
- Specs are not contracts set in stone
- Implementation reveals reality
- Better approaches emerge during coding
- Ambiguities get discovered
The goal is alignment, not rigidity.
- Specs guide implementation
- Implementation informs specs
- Both should reflect truth
Always provide reasoning:
- Why update spec vs fix code
- What's the impact
- What are the trade-offs
Trust the process:
- Detect mismatches early
- Analyze thoughtfully
- Recommend clearly
- Execute decisively
- Verify completely
Spec and code in sync = quality software.