How do I install the Self Improving Agent skill?

Run npx skillmds@latest add dvcrn/self-improving-agent-6 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Self Improving Agent safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Self Improving Agent?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Self Improving Agent free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Self Improving Agent?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Self Improving Agent by dvcrn — Agent Skill

Name: Self Improving Agent
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

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.

dvcrn Updated Sep 9, 2026 32 repo stars

File contents

Self-Improving Agent

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

Quick workflow

Detect signal: error, correction, capability gap, or repeated workaround.
Log to .learnings/ with the right entry type.
Resolve or promote high-value patterns into durable workspace files.
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

---name: self-improving-agent-6description: 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.--- # Self-Improving Agent 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 ```bash # 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 ```

Frequently asked questions