Skills self-optimizer

Analyzes OpenClaw logs, chat history, and the .openclaw installation to propose self-improvement and optimization suggestions. Use when optimizing or auditing OpenClaw setup.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/austindixson/self-optimizer" ~/.claude/skills/openclaw-skills-self-optimizer && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/austindixson/self-optimizer" ~/.openclaw/skills/openclaw-skills-self-optimizer && rm -rf "$T"
manifest: skills/austindixson/self-optimizer/SKILL.md
source content

Self Optimizer

Analyzes OpenClaw logs, chat history, and the .openclaw local root installation folder to propose self-improvement and optimization suggestions.

Commands

  • self_optimizer.py analyze [--json]
    - Runs the analysis and suggests improvements.

Features

  • Log Analysis: Scans
    gateway.log
    and
    openclaw.log
    for errors, restarts, and performance metrics.
  • Chat History Analysis (Planned): Identifies recurring issues, common requests, or areas of confusion from chat transcripts.
  • Root Folder Scan (Planned): Examines
    openclaw.json
    , skill configurations, and
    MEMORY.md
    for optimization opportunities.
  • Recommendations: Provides actionable suggestions for performance, stability, and new skill development.