Self Improving Agent

Capture errors, corrections, and recurring patterns into structured `.learnings/` logs, then promote durable guidance into workspace memory files. Use when c...

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