← 返回
未分类

Self-Improving Agent

Log high-signal corrections, tool failures, feature requests, and recurring workflow lessons to a lightweight .learnings/ directory, then promote only repeat...
将高价值纠正、工具失败、功能请求和常见工作流经验记录到轻量的 .learnings/ 目录中,随后仅推广重复出现的经验
amitpnyc amitpnyc 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 264
下载
💾 0
安装
1
版本
#latest#latest openclaw agent-skills workflow knowledge-management memory productivity

概述

Self-Improving Agent

Capture useful lessons while context is fresh. Keep the default behavior lightweight, private, and append-only.

Core rules

  • Prefer signal over volume.
  • Default to logging, not self-modifying instructions.
  • Log only meaningful corrections, failures, recurring issues, durable conventions, or explicit “remember this” requests.
  • Never log secrets, tokens, private keys, environment variables, raw customer data, or full sensitive transcripts unless the user explicitly asks.
  • Prefer short summaries and redacted excerpts over raw output.
  • In OpenClaw, treat edits to AGENTS.md, SOUL.md, TOOLS.md, and MEMORY.md as high-authority changes. Do not make them automatically unless the user asked or the workspace explicitly authorizes it.
  • In OpenClaw, update MEMORY.md only in trusted direct or main-session contexts, not by default from shared/group contexts or routine subagent work.

Initialize once

Store the skill in /skills/self-improving-agent/ for workspace-local use or ~/.openclaw/skills/self-improving-agent/ for shared use.

Create .learnings/ in the active workspace root or project root and ensure these files exist:

  • .learnings/LEARNINGS.md
  • .learnings/ERRORS.md
  • .learnings/FEATURE_REQUESTS.md

Never overwrite an existing log file.

Where to log

  • ERRORS.md — command failures, tool crashes, API/integration issues, reproducible environment problems
  • LEARNINGS.md — user corrections, outdated assumptions, best practices, non-obvious debugging conclusions, recurring workflow hardening
  • FEATURE_REQUESTS.md — capabilities the user wanted but the system or workflow did not support

Use these learning categories when relevant:

  • correction
  • insight
  • knowledge_gap
  • best_practice

Default operating mode

Use append-only capture by default:

  • append a short structured entry to the right file
  • link related prior entries when issues recur
  • suggest promotion when warranted
  • do not automatically edit long-lived instruction or memory files unless authorized

Promotion rules

Promote a learning only when it is repeated, durable, broad, costly to forget, or explicitly marked permanent by the user.

Do not promote one-off incidents, transient outages, machine-specific glitches, speculative opinions, or unclear temporary preferences.

Promote to the smallest durable home:

  • AGENTS.md — workflow rules and execution guidance
  • TOOLS.md — tool gotchas and environment notes
  • SOUL.md — behavioral principles and communication style
  • MEMORY.md — durable user/project facts
  • project instruction files such as CLAUDE.md or .github/copilot-instructions.md — only when the learning is project-wide

When promoting, distill the lesson into a short rule. Do not copy the full log entry.

Dedupe

Before adding a new entry:

  • scan for a related item
  • use See Also for related entries
  • prefer updating recurrence metadata over creating near-duplicates

Use a stable Pattern-Key for repeated workflow issues when helpful.

Minimal entry shapes

## [LRN-YYYYMMDD-XXX] category
**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high | critical
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config | workflow

### Summary
One-line lesson

### Details
What happened and what is correct now

### Metadata
- Source: conversation | error | user_feedback | investigation
- Related Files: path/to/file.ext
- See Also: LRN-YYYYMMDD-XXX
- Pattern-Key: optional-key
- Recurrence-Count: 1
## [ERR-YYYYMMDD-XXX] system_or_command
**Logged**: ISO-8601 timestamp
**Priority**: medium | high | critical
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config | workflow

### Summary
What failed

### Error
Short error text or redacted excerpt

### Context
- Operation attempted
- Relevant inputs or parameters

### Metadata
- Reproducible: yes | no | unknown
- Related Files: path/to/file.ext
- See Also: ERR-YYYYMMDD-XXX
## [FEAT-YYYYMMDD-XXX] capability-name
**Logged**: ISO-8601 timestamp
**Priority**: low | medium | high
**Status**: pending
**Area**: frontend | backend | infra | tests | docs | config | workflow

### Requested Capability
What the user wanted

### User Context
Why it mattered

### Metadata
- Frequency: first_time | recurring
- Related Features: feature-or-workflow

Cross-session sharing

Share learnings across sessions only when the user wants that behavior or the environment explicitly supports it.

When sharing:

  • send a short sanitized summary
  • include only needed IDs and file paths
  • do not send raw transcripts or secret-bearing output by default
  • in OpenClaw, prefer sessions_send summaries over transcript forwarding

OpenClaw notes

  • Prefer openclaw skills install for installation guidance.
  • Do not include Claude/Codex-style hook examples unless you are shipping a real OpenClaw hook.
  • If you add hook automation, ship HOOK.md + handler.ts and enable it with openclaw hooks enable .
  • If the skill later references bundled files, use {baseDir}.
  • Keep setup instructions cross-platform.

Default behavior

When something notable happens:

  1. Decide whether it clears the logging threshold.
  2. Append a concise entry.
  3. Link related prior entries if applicable.
  4. Suggest promotion only if the lesson is repeated or durable.
  5. Promote sparingly and in distilled form.

If unsure whether something deserves promotion, keep it in .learnings/ and move on.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-21 14:54 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-agent

Agent Browser

rez0
用于 AI 代理的浏览器自动化 CLI。当用户需要与网站交互(包括浏览页面、填写表单、点击按钮、截图等)时使用。
★ 843 📥 322,617
ai-agent

Find Skills

guipi888
场景驱动+关键词双模式技能发现工具。当用户用自然语言描述场景/需求(如"我想做一个海报""帮我分析股票"),或明确说"安装技能/find skills/找个skill"时,自动从官方内置、本地已安装、SkillHub、虾评、GitHub、C
★ 1,490 📥 553,666
ai-agent

Skill Vetter

spclaudehome
AI智能体技能安全预审工具。安装ClawdHub、GitHub等来源技能前,检查风险信号、权限范围及可疑模式。
★ 1,242 📥 271,097