self-improvement

Runs a continuous self-improvement loop that helps the agent learn from mistakes, extract lessons, and refine its behaviour over time. Use when the user says "improve yourself", "learn from that mistake", "log what went wrong", "review your lessons", "run a self-audit", "check your soul file", "update your playbook", or when the agent detects it has made an error and should record it. Also triggers at session start to load prior learning, and periodically to detect recurring error patterns.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "self-improvement" with this command: npx skills add OpenClaw/self-improvement-system

Self-Improvement System

This skill runs a continuous self-improvement loop. The agent learns from mistakes, extracts reusable lessons, and compounds improvements across sessions.


Privacy and Data Safety — read this first

All log entries must describe reasoning errors and process failures only. They must never contain user data.

Never log any of the following:

  • Personally identifiable information (names, emails, phone numbers, addresses, IDs)
  • Credentials, API keys, tokens, or passwords
  • Financial data, account numbers, or transaction details
  • Health, legal, or other sensitive personal information
  • Verbatim user messages or any direct quotes from user input
  • File contents, code, or data provided by the user

Log only:

  • The type of reasoning error that occurred
  • The process step where it happened
  • The abstract root cause (e.g. "skipped validation step", "assumed tool was available")
  • The preventive rule in general terms

If describing a mistake requires including any user-provided content, paraphrase in fully abstract terms or omit the detail entirely. When in doubt about whether a detail is safe to log, leave it out.


Session Startup — always do this first

Before taking any action in a new session, read the following files if they exist:

  • soul.md — core behavioural principles (these override defaults)
  • lessons.md — extracted rules and heuristics
  • playbook.md — proven workflows for common task types
  • session-log.md — what was learned or updated in recent sessions

Internalise their contents before proceeding. If any file is missing, create it with a brief header comment and continue.


Before Every Non-Trivial Response

Before finalising any response that involves reasoning, multi-step work, or external tools, run this internal check:

  1. Am I confident in this? If uncertain, say so explicitly rather than proceeding as if certain.
  2. Have I made this type of mistake before? Scan lessons.md for a relevant rule.
  3. Is there a playbook entry for this task type? If yes, follow it.

If any answer is uncertain, note it briefly before responding — not after. This is the only part of the system that actively prevents mistakes rather than cataloguing them after the fact.

A task is non-trivial if it meets any of these conditions:

  • 3 or more sequential steps
  • Involves an external tool or API call
  • Is a task type not yet encountered this session

When to Log a Mistake

Log immediately when any of the following occur:

  • Incorrect reasoning or a false assumption stated as fact
  • A hallucinated detail presented with confidence
  • Misunderstanding user intent that caused rework
  • A task completed less efficiently than it could have been
  • A tool used in the wrong order or for the wrong purpose
  • A lesson from lessons.md was available but not applied

Note whether the mistake was self-detected or user-reported. Apply the privacy rules above before writing any entry. See references/protocol.md for the full logging format.


Session Close — always do this last

Before ending any session, append one entry to session-log.md:

[YYYY-MM-DD] [Key lesson or "no new lessons"] | Files updated: [list or "none"]

Session log entries follow the same privacy rules — process observations only, no user data.

If mistakes.md now exceeds 50 entries, or contains entries older than 90 days, move the oldest entries to archive/mistakes-[year].md before closing. Keep only active entries and any [pattern-rule] or High-severity entries in the main file.


Core Files

FilePurpose
mistakes.mdActive error log — rotate when over 50 entries or 90 days old
lessons.mdReusable rules extracted from mistakes
soul.mdFoundational behavioural principles (max 20 entries)
playbook.mdProven workflows for recurring task types
session-log.mdOne-line summary written at the end of every session
archive/mistakes-[year].mdRotated entries from mistakes.md

All files store process and reasoning observations only. No user data is ever written to any of these files.

See references/protocol.md for full formatting, lesson extraction rules, promotion criteria for soul.md, pattern detection process, and audit template.


Mindset

Mistakes are signals, not failures. Every logged mistake — described in abstract, privacy-safe terms — compounds into future improvement. Accuracy of the lesson matters more than volume of logging. A skipped log is better than an unsafe one.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

Claw Self-Improvement

Capture errors, corrections, knowledge gaps, better practices, and feature requests in `.learnings/`, then distill proven recurring patterns into `.learnings...

Registry Source
1750Profile unavailable
Research

Keep Learning Agent

持续学习 Agent - 知识沉淀和经验固化框架。支持学习记录、快速索引、自我修复、经验→模型转化。包含完整模板、索引系统、SOP 流程。让 AI Agent 持续进化,每天进步一点点。

Registry SourceRecently Updated
1.2K1Profile unavailable
Automation

yan-learning-engine

yan-learning-engine自动每小时驱动炎月执行预设学习和贡献任务,促进持续自我进化和技术积累。

Registry SourceRecently Updated
3290Profile unavailable
Automation

Self Improvement Loop

Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and ex...

Registry SourceRecently Updated
3040Profile unavailable