Self Improving Agent

Capture errors, corrections, and recurring patterns into structured `.learnings/` logs, then promote durable guidance into workspace memory files. Use when commands fail, users correct output, missing capabilities are requested, or new best practices should be preserved across sessions.

Use this skill to turn execution feedback into reusable operational knowledge.

Quick workflow

1. Detect signal: error, correction, capability gap, or repeated workaround.
2. Log to .learnings/ with the right entry type.
3. Resolve or promote high-value patterns into durable workspace files.
4. Reuse scripts/hooks to keep capture consistent.

Use bundled resources

• Entry examples and formats: references/examples.md
• Hook setup for reminders/error detection: references/hooks-setup.md
• OpenClaw workspace integration: references/openclaw-integration.md
• Reminder hook script: scripts/activator.sh
• Command-error detector: scripts/error-detector.sh
• Skill extraction scaffold: scripts/extract-skill.sh
• Environment checks: scripts/check_env.sh
• Log templates: assets/LEARNINGS.md, assets/SKILL-TEMPLATE.md

Log targets

• .learnings/LEARNINGS.md: corrections, knowledge gaps, best practices
• .learnings/ERRORS.md: command/tool/runtime failures
• .learnings/FEATURE_REQUESTS.md: requested capabilities not yet supported

Promotion rules

Promote broadly reusable learnings out of .learnings/:

• behavior/style -> SOUL.md
• workflow/orchestration -> AGENTS.md
• tool constraints/gotchas -> TOOLS.md

Update original entries with status transitions (resolved, promoted, wont_fix) and references.

Commands

# Verify scripts and learnings directory setup
bash workspace/skills/self-improving-agent/scripts/check_env.sh

# Dry-run extraction of a new skill from a recurring pattern
bash workspace/skills/self-improving-agent/scripts/extract-skill.sh my-pattern --dry-run