adaptationio/auto-updater
.claude/skills/auto-updater/SKILL.md
Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe application, validation, and rollback capability. Use when applying systematic improvements, automating enhancement cycles, bulk updating multiple skills, or implementing ecosystem-wide improvements.
$ install --global
skillsauthnpx skillsauth add adaptationio/skrillz auto-updaterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Mar 30, 2026, 11:23 PM58.6s2 files scanned
SKILL.md
- name:
- auto-updater
- description:
- Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe application, validation, and rollback capability. Use when applying systematic improvements, automating enhancement cycles, bulk updating multiple skills, or implementing ecosystem-wide improvements.
- allowed-tools:
- Read, Write, Edit, Glob, Grep, Bash, WebSearch, WebFetch
Auto Updater
Overview
auto-updater automatically applies improvements to skills and ecosystem components based on identified patterns and learnings.
Purpose: Automated application of validated improvements across ecosystem
The 5-Step Auto-Update Workflow:
- Identify Improvements - Gather recommendations from reviews and learnings
- Assess Safety - Determine which can be safely automated
- Apply Updates - Implement improvements automatically
- Validate Changes - Ensure improvements effective, no regressions
- Rollback if Needed - Revert changes if validation fails
Safety: Always validates before finalizing, can rollback
When to Use
- Applying systematic improvements across multiple skills
- Implementing guideline updates ecosystem-wide
- Automating common enhancement patterns
- Bulk updates (e.g., add Quick Reference to all skills missing it)
Auto-Update Workflow
Step 1: Identify Improvements
Sources:
- system-reviewer recommendations
- best-practices-learner documented patterns
- review-multi common findings
- Manual improvement requests
Output: List of potential improvements
Time: 15-30 minutes
Step 2: Assess Safety
Safe to Automate:
- Structural additions (add Quick Reference section)
- Content additions (add examples in standard locations)
- Format standardization (consistent heading levels)
- Documentation updates (README enhancements)
NOT Safe to Automate:
- Logic changes (requires understanding context)
- Content rewrites (needs judgment)
- Major refactoring (risk too high)
- Custom implementations
Output: Classified improvements (auto-safe vs manual-only)
Time: 20-40 minutes
Step 3: Apply Updates
Process:
- Backup affected skills (git commit or copy)
- Apply improvement to each skill
- Log changes made
- Track success/failure per skill
Approach: One skill at a time, validate each before moving to next
Time: Varies by improvement and skill count
Step 4: Validate Changes
For Each Updated Skill:
- Run skill-validator (pass/fail)
- Run review-multi structure check (score maintained?)
- Visual inspection (looks correct?)
- Mark as validated or flagged for review
Output: Validation results per skill
Time: 10-15 minutes per skill
Step 5: Rollback if Needed
If Validation Fails:
- Identify which skill failed
- Restore from backup (git revert or copy back)
- Analyze why it failed
- Mark improvement as manual-only for that skill
Output: Rolled back skill, failure analysis
Example Auto-Update
Auto-Update: Add Quick Reference to All Skills Missing It
Step 1: Identify
- Improvements: Add Quick Reference section
- Target Skills: planning-architect, task-development, todo-management
- Count: 3 skills to update
Step 2: Assess Safety
- ✅ Safe: Adding new section (doesn't modify existing content)
- ✅ Safe: Standard format (use template)
- ✅ Safe: Low risk (can validate easily)
- Decision: Auto-update approved
Step 3: Apply
- Backup: Git commit all 3 skills
- Apply to planning-architect: ✅ Success
- Apply to task-development: ✅ Success
- Apply to todo-management: ✅ Success
- Changes: 3/3 skills updated
Step 4: Validate
- planning-architect: 5/5 structure (maintained)
- task-development: 5/5 structure (maintained)
- todo-management: 5/5 structure (maintained)
- All validations: ✅ PASS
Step 5: Rollback
- Not needed (all validations passed)
Result: ✅ 3 skills successfully auto-updated
Time: 90 minutes (vs 3-4 hours manual)
Impact: 100% Quick Reference coverage achieved
Quality: All skills maintained 5/5 scores
Quick Reference
5-Step Auto-Update Workflow
| Step | Focus | Time | Safety | |------|-------|------|--------| | Identify | Gather improvements | 15-30m | N/A | | Assess Safety | Classify auto-safe | 20-40m | Critical | | Apply | Implement changes | Varies | Backup first | | Validate | Check quality maintained | 10-15m/skill | Essential | | Rollback | Revert if fails | 5m/skill | Safety net |
Safe vs Unsafe Automation
Safe to Automate:
- Adding standard sections
- Format standardization
- Documentation additions
- Structural improvements (following patterns)
NOT Safe:
- Logic changes
- Content rewrites
- Major refactoring
- Custom implementations
Rule: If requires judgment or understanding → Manual only
auto-updater enables safe, validated, automated improvement application across multiple skills simultaneously.
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