skill-forgeAI 技能自动发现、评估、集成、验证、宣传闭环系统 — 跨生态技能市场引擎
Install via ClawdBot CLI:
clawdbot install stakeswky/skill-forgeSkillForge 让 AI agent 自主发现自己缺什么能力,跨生态搜索最佳工具,自动评估兼容性和安全性,一键集成为可用 skill,并自动发布进化成果。
skill.json + SKILL.md,可 clawhub publishcd /Volumes/data/openclaw/evolution-engine
# 全流程(scout → evaluate → integrate → verify → benchmark → announce)
pnpm pipeline
# 单独运行
pnpm scout # 情报采集
pnpm evaluate # 价值评估
pnpm integrate # 自动集成
pnpm verify # 安全验证
pnpm announce # 舆情+宣传
编辑 data/needs.json 声明能力缺口:
{
"needs": [
{
"area": "视频处理",
"description": "本地视频转码、剪辑的轻量 CLI",
"keywords": ["video transcoding", "ffmpeg wrapper"],
"priority": "medium"
}
]
}
| 阶段 | 说明 |
|------|------|
| Scout | 9+ 源情报采集 + 需求驱动搜索 |
| Evaluate | 5 维度加权评估(含真实运行时检测) |
| Integrate | 自动克隆 + 安全扫描 + ClawHub skill 包生成 |
| Verify | 仓库健康 + 依赖安全 + 危险脚本检测 |
| Benchmark | 效能基准对比 |
| Announce | 舆情快照 + 进化成果推文发布 |
x-twitter — X/Twitter 搜索、发帖、趋势(需 TWITTER_BEARER_TOKEN)social-sentiment — 跨平台舆情分析(需 Xpoz 账号)| # | 源 | 方式 |
|---|---|------|
| 1 | GitHub Trending | API / SearXNG |
| 2 | HuggingFace | API / SearXNG |
| 3 | Reddit | SearXNG / RSS |
| 4 | Product Hunt | SearXNG |
| 5 | Awesome Lists | GitHub API |
| 6 | X/Twitter | SearXNG + Grok |
| 7 | ClawHub | API → HTML → CLI |
| 8 | OpenAI Skills | GitHub API |
| 9 | Claude Skills | GitHub API |
| 🎯 | 需求驱动 | SearXNG |
AI Usage Analysis
Analysis is being generated… refresh in a few seconds.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection