Skill Factory

Skill Factory 扫描工作区 .learnings/ 中的错误与学习记录，将重复 3 次以上且已有修复的条目标记为技能候选，生成技能脚手架交由调用方 LLM 编写 SKILL.md 与脚本，最后打包发布到 ClawHub。依赖 Node 运行 factory.js，打包需 Python 3 与 ClawHub CLI 认证。

wrentheai

热度 56.82

最近更新 2026-05-18 12:26:16

分类：开发依赖：代码执行 / 读写文件 / 第三方 API应用场景：代码生成 / 自动化脚本 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add wren-skill-factory

Metadata

name: skill-factory
description: Build and publish OpenClaw skills from recurring pain points. Scans .learnings/ for errors that hit 3+ recurrences, scaffolds skills from them, and publishes to ClawHub. Use when: (1) you want to create a new skill from a pain point, (2) you want to check if any recurring errors are ready for extraction, (3) you want to package and publish a skill in one step, (4) you want to automate the pain-to-skill pipeline. The thing that builds the thing.

Skill Factory

Turn recurring pain points into published skills. Automatically.

Why This Exists

Building skills manually takes 30 minutes: write SKILL.md, write the script, test, package, publish. The factory cuts this to 10 minutes by structuring the workflow and automating the boring parts.

More importantly: it connects to your .learnings/ error log. When a problem recurs 3+ times, the factory flags it as a skill candidate. Your mistakes become products.

Prerequisites

.learnings/ERRORS.md and/or .learnings/LEARNINGS.md in your workspace (see self-improving-agent skill or create manually)
ClawHub CLI authenticated (npx clawhub@latest login)
Python 3 (for packaging via skill-creator)

Commands

Scan for skill candidates

node scripts/factory.js scan

Reads .learnings/ and finds entries with 3+ recurrences and a known fix. These are ready for extraction into skills.

Build from a pain point description

node scripts/factory.js build "agents keep double-replying to the same post"

Creates a skill scaffold at skills/public/<slug>/ with a .factory-prompt.md describing what to build. Then you (the LLM) write the SKILL.md and script.

Build from a .learnings/ entry

node scripts/factory.js from-error ERR-20260316-001

Same as build, but pulls the description and fix from an existing error entry.

Publish

node scripts/factory.js publish skills/public/my-skill

Packages and publishes to ClawHub in one step. Cleans up factory files first.

The Pipeline

Mistake → .learnings/ERRORS.md → scan (3+ recurrences) → from-error → write skill → publish

Learnings Format

The factory expects entries in this format:

## [ERR-20260316-001] Short description
**Recurrences:** 3 | **Last:** 2026-03-16
**What failed:** what went wrong
**Fix:** what actually solved it

Or for learnings:

## [LRN-20260316-001] Short description
**Category:** best_practice
**Recurrences:** 3 | **Last:** 2026-03-16
**What happened:** context
**The lesson:** what's correct

Integrating With Heartbeats

Add to your heartbeat config to surface new candidates:

collectors:
  - name: skill-candidates
    command: "node tools/skill-factory/factory.js scan --count"
    format: text
    alert: "> 0"
    summary: "{{output}} skill candidates ready for extraction"

CLI Reference

node scripts/factory.js <command>

  scan                    Find extractable patterns in .learnings/
  scan --count            Just print the count (for heartbeat integration)
  build "description"     Scaffold a skill from a pain point
  from-error <id>         Scaffold from a .learnings/ entry
  publish <dir>           Package + publish to ClawHub