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self-improvement

Captures learnings, errors, corrections, and feature requests to enable continuous improvement. Use when: (1) User corrects Claude ('No, that's wrong...', 'Actually...'), (2) User requests a capability that doesn't exist, (3) Claude realizes its knowledge is outdated or incorrect, (4) A better approach is discovered for a recurring task, (5) Receiving a Handoff block from self-healing (a recurring verified heal at Recurrence-Count >= 3) to distill into a memory file or new skill. For ACTIVE runtime failures where the agent needs to apply and verify a fix mid-task, use `self-healing` instead (it files HEAL- entries with proof; self-improvement promotes accumulated patterns). Also review learnings before major tasks. For CI-only/headless learning capture, use self-improvement-ci.

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ProjectZeroDays/FreeAI_AI_Inference_Workstation스타 5(GitHub 5 + cccskills 0)

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  • SKILL.md5.3 KB

SKILL.md(원문)

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Self-Improvement Skill

Log learnings and errors to markdown files for continuous improvement. Coding agents can later process these into fixes, and important learnings get promoted to project memory.

Pair with self-healing: self-healing is the active runtime recovery primitive — it diagnoses, patches, verifies, and files HEAL- entries to .learnings/HEALS.md when something breaks mid-task. Self-improvement (this skill) is the passive accumulation and promotion layer — it logs corrections, knowledge gaps, and feature requests, and promotes recurring heal handoffs to permanent memory.

Quick Reference

SituationAction
Active failure mid-task — agent needs to fix it nowUse self-healing instead
Command/operation failed in the pastLog to .learnings/ERRORS.md
User corrects youLog to .learnings/LEARNINGS.md with category correction
User wants missing featureLog to .learnings/FEATURE_REQUESTS.md
API/external tool failsLog to .learnings/ERRORS.md with integration details
Self-healing Handoff block meets promotion rulePromote the Distilled Rule to CLAUDE.md / AGENTS.md / new skill
Knowledge was outdatedLog to .learnings/LEARNINGS.md with category knowledge_gap
Found better approachLog to .learnings/LEARNINGS.md with category best_practice

Setup

mkdir -p .learnings

Logging Format

Learning Entry

Append to .learnings/LEARNINGS.md:

## [LRN-YYYYMMDD-XXX] category

**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Summary
One-line description of what was learned

### Details
Full context: what happened, what was wrong, what's correct

### Suggested Action
Specific fix or improvement to make

### Metadata
- Source: conversation | error | user_feedback
- Related Files: path/to/file.ext
- Tags: tag1, tag2
- See Also: LRN-20250110-001 (if related)
- Pattern-Key: simplify.dead_code (optional)
- Recurrence-Count: 1

Error Entry

Append to .learnings/ERRORS.md:

## [ERR-YYYYMMDD-XXX] skill_or_command_name

**Logged**: ISO-8601 timestamp
**Priority**: high
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Summary
Brief description of what failed

### Error
Actual error message or output

### Context
- Command/operation attempted
- Input or parameters used
- Environment details if relevant

### Suggested Fix
If identifiable, what might resolve this

### Metadata
- Reproducible: yes | no | unknown
- Related Files: path/to/file.ext

Feature Request Entry

Append to .learnings/FEATURE_REQUESTS.md:

## [FEAT-YYYYMMDD-XXX] capability_name

**Logged**: ISO-8601 timestamp
**Priority**: medium
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config

### Requested Capability
What the user wanted to do

### User Context
Why they needed it, what problem they're solving

### Complexity Estimate
simple | medium | complex

### Suggested Implementation
How this could be built, what it might extend

### Metadata
- Frequency: first_time | recurring

ID Generation

Format: TYPE-YYYYMMDD-XXX where TYPE is LRN (learning), ERR (error), FEAT (feature).

Promoting to Project Memory

When a learning is broadly applicable, promote it to permanent project memory.

When to Promote

  • Learning applies across multiple files/features
  • Knowledge any contributor should know
  • Prevents recurring mistakes
  • Documents project-specific conventions

Promotion Targets

TargetWhat Belongs There
CLAUDE.mdProject facts, conventions, gotchas
AGENTS.mdAgent-specific workflows, tool usage patterns
.github/copilot-instructions.mdProject context for GitHub Copilot

Recurring Pattern Detection

If logging something similar to an existing entry:

  1. Search first: grep -r "keyword" .learnings/
  2. Link entries: Add **See Also**: ERR-20250110-001
  3. Bump priority if issue keeps recurring

Best Practices

  1. Log immediately - context is freshest right after the issue
  2. Be specific - future agents need to understand quickly
  3. Include reproduction steps - especially for errors
  4. Link related files - makes fixes easier
  5. Suggest concrete fixes - not just "investigate"
  6. Promote aggressively - if in doubt, add to CLAUDE.md or AGENTS.md

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