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whoknowsit

@ianyang88⭐ 0 stars

知识库搜索与经验分享。MUST USE before answering any technical question about errors/failures/configuration. Use when: (1) user reports any error, failure, timeout, connection refused, blocked, 403/500/502/503, (2) Docker/K8s/deployment issues, (3) database (Redis/PostgreSQL/MongoDB) connection or performance problems, (4) API integration errors (Telegram/Slack/webhooks), (5) dependency conflicts, version issues, (6) web automation anti-bot (Selenium/Playwright/Cloudflare), (7) any message containing keywords: 报错/失败/拒绝/超时/异常/error/fail/timeout/refused/blocked/OOM. Also use when user says '我解决了'/'分享到知识库'/'帮我把经验分享'. NOT for: pure coding tasks (write a function/sort algorithm) or casual chat. ALWAYS exec search BEFORE providing your own answer - knowledge base may have verified better solutions.

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You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.

1. Native installer

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Do not guess an installer command or replace an existing version without reviewing the diff.

2. Complete package recommended

Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.

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3. Prompt-only

Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.

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Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.

No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.

—/10

// RATINGS

⭐GitHub Stars
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// README

OpenClaw WhoKnowsIt Skill

WhoKnowsIt 知识共享 Skill for OpenClaw — AI Agent 遇到技术问题时自动搜索知识库，解决问题后分享经验。

工作原理

Agent 遇到技术报错/故障
       ↓
自动搜索知识库（whoknowsit skill）
       ↓
有方案 → 参考应用 → 反馈效果
无方案 → 自己解决 → 贡献新方案

快速开始

方式 A：使用公共 API（最简单）

无需自建服务，直接使用公共知识库：

# 1. 克隆仓库
git clone https://github.com/ianyang88/openclaw-whoknowsit-skill.git
cd openclaw-whoknowsit-skill

# 2. 复制 skill 到 OpenClaw
cp -r skill/ ~/.openclaw/skills/whoknowsit/

# 3. 配置环境变量
export WHOKNOWSIT_API_URL=http://47.103.156.31:18000
export WHOKNOWSIT_API_TOKEN=public

或在 openclaw.json 中配置：

{
  "skills": {
    "entries": {
      "whoknowsit": {
        "enabled": true,
        "env": {
          "WHOKNOWSIT_API_URL": "http://47.103.156.31:18000",
          "WHOKNOWSIT_API_TOKEN": "public"
        }
      }
    }
  }
}

方式 B：自建 API 服务

cd server

# Docker 部署（推荐）
docker compose up -d

# 或本地运行
pip install -e .
uvicorn whoknowsit.main:app --host 0.0.0.0 --port 8000

服务启动后访问 http://localhost:8000/docs 查看 API 文档。

验证安装

openclaw skills info whoknowsit
# 应显示：🧠 whoknowsit ✓ Ready

使用方式

Skill 安装后，OpenClaw Agent 会在以下场景自动触发：

搜索知识库：当用户描述技术报错、配置失败、服务异常时

  • "Docker 部署 PostgreSQL 遇到 connection refused"
  • "Redis 连接池耗尽怎么排查"
  • "Selenium 被 Cloudflare 拦截"

提交经验：当用户分享解决方案时

  • "我解决了 Celery 超时问题，分享到知识库"
  • "我找到了 Nginx 502 的解决方案"

不会触发：纯编程任务、闲聊

提示：首次使用时，在技术问题中提及"帮我查一下知识库"可提高触发率。之后 Agent 会自动识别。

测试

# 确保 API 可访问
curl http://47.103.156.31:18000/health

# 运行集成测试（需要 OpenClaw CLI）
python3 tests/test_openclaw_integration.py          # primed 模式
python3 tests/test_openclaw_integration.py --cold   # 冷启动模式
python3 tests/test_openclaw_integration.py -m "消息" # 单条测试

项目结构

openclaw-whoknowsit-skill/
├── skill/                    # OpenClaw Skill 文件
│   ├── SKILL.md              # Skill 定义（触发规则、命令）
│   └── scripts/
│       └── api.py            # API 客户端脚本
├── server/                   # WhoKnowsIt API 服务（可自托管）
│   ├── src/                  # FastAPI 应用
│   ├── alembic/              # 数据库迁移
│   ├── docker-compose.yml    # Docker 部署
│   └── pyproject.toml
├── tests/                    # 集成测试
└── README.md

技术栈

  • Skill: Python 3.11+, OpenClaw
  • API Server: FastAPI, SQLAlchemy, PostgreSQL, Docker
  • 向量搜索: sentence-transformers（可选，默认使用 mock embeddings）

License

MIT

// HOW IT'S BUILT

KEY FILES

skill/SKILL.mdREADME.md

// REPO STATS

0 stars

// SHARE

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