How do I install the Self Learn skill?

Run npx skillmds@latest add dvcrn/self-learn 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 Learn safe to use?

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

Which AI agents work with Self Learn?

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 Learn free to use?

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

Who published Self Learn?

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

Self Learn by dvcrn — Agent Skill

Name: Self Learn
Rating: 4.2 (5 reviews)
Author: dvcrn

Self Learn

Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I prefer, Stop doing X), (2) After completing any task - evaluate your own output, (3) User asks what the agent has learned, (4) User says remember this or note that. Stores learnings in LanceDB memory + memory/corrections.md for human review.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Self-Learn Skill

Two-part continuous improvement loop: learn from corrections, learn from self-evaluation.

On Every Task Completion

After finishing any task, briefly self-evaluate (1–3 sentences internally):

Did the output meet the intent?
What could be better next time?
Is this a repeatable pattern worth storing?

If yes → log it. If it was routine with no issues → skip logging (don't over-log).

Log format:

CONTEXT: [task type]
REFLECTION: [what I noticed]
LESSON: [what to do differently / keep doing]

Append to memory/corrections.md under today's date. Also call memory_store with:

category: decision
importance: 0.75
text: [LESSON] <lesson text> + relevant keywords

On User Corrections

Trigger phrases (detect these):

"No, that's wrong / not right"
"Actually..." / "I prefer..." / "Remember that I..."
"Stop doing X" / "Why do you keep..."
"I told you before..." / "Always do X"

When triggered:

Acknowledge the correction briefly
Append to memory/corrections.md under ## Corrections with today's date
Call memory_store with:
- category: preference (style/tone) or decision (behaviour/approach)
- importance: 0.85
- text: [CORRECTION] <what was wrong> → <correct behaviour> + keywords
Recall to verify it stored correctly

Log format:

[YYYY-MM-DD] CORRECTION: <what was wrong> → <correct behaviour>

memory/corrections.md Structure

# Corrections & Learnings Log

## Corrections
[YYYY-MM-DD] CORRECTION: ...

## Self-Evaluations
[YYYY-MM-DD] CONTEXT: ... | LESSON: ...

Create the file if it doesn't exist.

On "What have you learned?" / "Show my patterns"

Read memory/corrections.md and show last 10 entries. Also memory_recall with query "CORRECTION OR LESSON" for LanceDB results.

Installation on a New OpenClaw

Copy skills/self-learn/ into your workspace skills/ folder — skill activates automatically
Create memory/corrections.md (copy from references/corrections-template.md)
Optionally update AGENTS.md skill table for easy reference

Rules

Don't over-log — skip routine tasks with no notable outcome
Atomic entries — one lesson per entry, under 100 words
Keywords matter — include domain keywords in memory_store text for good recall
No secrets — never log credentials, personal data, or sensitive info
Corrections always log — user corrections are always worth storing (importance ≥ 0.85)

---name: self-learndescription: Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I prefer, Stop doing X), (2) After completing any task - evaluate your own output, (3) User asks what the agent has learned, (4) User says remember this or note that. Stores learnings in LanceDB memory + memory/corrections.md for human review.---# Self-Learn SkillTwo-part continuous improvement loop: learn from corrections, learn from self-evaluation.## On Every Task CompletionAfter finishing any task, briefly self-evaluate (1–3 sentences internally):- Did the output meet the intent?- What could be better next time?- Is this a repeatable pattern worth storing?If yes → log it. If it was routine with no issues → skip logging (don't over-log).**Log format:**```CONTEXT: [task type]REFLECTION: [what I noticed]LESSON: [what to do differently / keep doing]```Append to `memory/corrections.md` under today's date. Also call `memory_store` with:- category: `decision`- importance: 0.75- text: `[LESSON] <lesson text>` + relevant keywords## On User CorrectionsTrigger phrases (detect these):- "No, that's wrong / not right"- "Actually..." / "I prefer..." / "Remember that I..."- "Stop doing X" / "Why do you keep..."- "I told you before..." / "Always do X"When triggered:1. Acknowledge the correction briefly2. Append to `memory/corrections.md` under `## Corrections` with today's date3. Call `memory_store` with: - category: `preference` (style/tone) or `decision` (behaviour/approach) - importance: 0.85 - text: `[CORRECTION] <what was wrong> → <correct behaviour>` + keywords4. Recall to verify it stored correctly**Log format:**```[YYYY-MM-DD] CORRECTION: <what was wrong> → <correct behaviour>```## memory/corrections.md Structure```markdown# Corrections & Learnings Log## Corrections[YYYY-MM-DD] CORRECTION: ...## Self-Evaluations[YYYY-MM-DD] CONTEXT: ... | LESSON: ...```Create the file if it doesn't exist.## On "What have you learned?" / "Show my patterns"Read `memory/corrections.md` and show last 10 entries. Also `memory_recall` with query "CORRECTION OR LESSON" for LanceDB results.## Installation on a New OpenClaw1. Copy `skills/self-learn/` into your workspace `skills/` folder — skill activates automatically2. Create `memory/corrections.md` (copy from `references/corrections-template.md`)3. Optionally update `AGENTS.md` skill table for easy reference## Rules- **Don't over-log** — skip routine tasks with no notable outcome- **Atomic entries** — one lesson per entry, under 100 words- **Keywords matter** — include domain keywords in memory_store text for good recall- **No secrets** — never log credentials, personal data, or sensitive info- **Corrections always log** — user corrections are always worth storing (importance ≥ 0.85)

Frequently asked questions