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Self Improving Agent.Bak

by @robertstarry-gif

Captures learnings, errors, and corrections for continuous improvement. Use when: (1) a command fails, (2) user corrects you, (3) user requests a missing cap...

Versionv1.0.0
Downloads501
TERMINAL
clawhub install self-improving-agent-bak

📖 About This Skill


name: self-improvement description: "Captures learnings, errors, and corrections for continuous improvement. Use when: (1) a command fails, (2) user corrects you, (3) user requests a missing capability, (4) an API/tool fails, (5) knowledge is outdated, (6) a better approach is found. Also review learnings before major tasks." metadata:

Self-Improvement Skill

Log learnings to .learnings/ for continuous improvement. Promote broadly applicable entries to workspace files.

Setup

mkdir -p ~/.openclaw/workspace/.learnings

Create three log files: LEARNINGS.md · ERRORS.md · FEATURE_REQUESTS.md

Routing Table

| Situation | File | Category | |---|---|---| | Command/operation fails | ERRORS.md | — | | User corrects you | LEARNINGS.md | correction | | Missing capability requested | FEATURE_REQUESTS.md | — | | Knowledge was outdated | LEARNINGS.md | knowledge_gap | | Found better approach | LEARNINGS.md | best_practice | | Recurring pattern (simplify-and-harden) | LEARNINGS.md | Source: simplify-and-harden + Pattern-Key |

Promotion Targets

| Learning Type | Promote To | |---|---| | Behavioral patterns | SOUL.md | | Workflow improvements | AGENTS.md | | Tool gotchas | TOOLS.md | | Project facts / conventions | CLAUDE.md |

Promote when: applies across multiple files, prevents recurring mistakes, or any contributor should know it.

Log Formats

LEARNINGS.md entry

## [LRN-YYYYMMDD-XXX] category
Logged: ISO-8601  Priority: low|medium|high|critical  Status: pending  Area: frontend|backend|infra|tests|docs|config

Summary

One-line description

Details

What happened, what was wrong, what's correct

Suggested Action

Specific fix or improvement

Metadata

  • Source: conversation|error|user_feedback
  • Related Files:
  • Tags:
  • See Also: (if related entry exists)
  • Pattern-Key: (optional, for recurring patterns)
  • Recurrence-Count: 1

  • ERRORS.md entry

    ## [ERR-YYYYMMDD-XXX] command_name
    Logged: ISO-8601  Priority: high  Status: pending  Area: …

    Summary / Error / Context / Suggested Fix

    Metadata

  • Reproducible: yes|no|unknown
  • See Also:

  • FEATURE_REQUESTS.md entry

    ## [FEAT-YYYYMMDD-XXX] capability_name
    Logged: ISO-8601  Priority: medium  Status: pending  Area: …

    Requested Capability / User Context / Complexity Estimate / Suggested Implementation

    Metadata

  • Frequency: first_time|recurring

  • Resolving Entries

    Change Status: pendingresolved | in_progress | wont_fix | promoted, then add:

    ### Resolution
    
  • Resolved: ISO-8601
  • Notes: what was done
  • Recurring Pattern Detection

    1. Search first: grep -r "keyword" .learnings/ 2. If similar entry exists: increment Recurrence-Count, update Last-Seen, add See Also 3. Promote to system prompt files when: Recurrence-Count >= 3 + seen in 2+ tasks + within 30 days

    Periodic Review

    grep -h "Status\*\*: pending" .learnings/*.md | wc -l          # count pending
    grep -B5 "Priority\*\*: high" .learnings/*.md | grep "^## \["  # list high-priority
    

    Review before major tasks, after completing features, or weekly during active development.

    Detection Triggers

  • Correction: "No, that's wrong…" / "Actually…" → LEARNINGS.md correction
  • Feature request: "Can you also…" / "I wish you could…" → FEATURE_REQUESTS.md
  • Knowledge gap: user provides info you didn't know → LEARNINGS.md knowledge_gap
  • Error: non-zero exit / exception / timeout → ERRORS.md
  • Skill Extraction

    Extract a learning into a reusable skill when: recurring (2+ See Also links) + resolved + non-obvious + broadly applicable.

    ./skills/self-improvement/scripts/extract-skill.sh skill-name
    

    Or manually: create skills//SKILL.md with YAML frontmatter (name, description).

    Priority / Area Reference

    Priority: critical (blocks core / data loss) · high (common workflow) · medium (workaround exists) · low (edge case)

    Area: frontend · backend · infra · tests · docs · config

    ⚙️ Configuration

    mkdir -p ~/.openclaw/workspace/.learnings
    

    Create three log files: LEARNINGS.md · ERRORS.md · FEATURE_REQUESTS.md