laborany
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
Auto-analyze URLs/info for OpenClaw strategic value, classify, create Obsidian notes, update memory. Use when user shares a URL, article, tweet, or any external info source.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 2233admin/openclaw-skill-intelligence-ingestion打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
When the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it.
USE this skill when:
DO NOT USE when:
read_url_content or browser)Assign one primary category and up to 2 secondary tags:
| Category | Description | Examples |
|---|---|---|
infra |
Infrastructure / protocols / networking | Pilot Protocol, MCP, networking stacks |
strategy |
Routing / cost / architecture decisions | Model routing, multi-account, fallback chains |
skill |
Agent skills / tools / capabilities | OpenAI Skills, Skill design patterns |
theory |
Conceptual frameworks / mental models | Bayes, decision theory, learning loops |
tutorial |
How-to guides / learning material | Claude Code, OpenClaw tutorials |
product |
Tools / apps / services | LM Studio, new AI models, apps |
community |
OpenClaw ecosystem / discussions | Community posts, feature requests |
threat |
Risks / security / deprecation | API changes, breaking updates, security alerts |
For each piece of information, evaluate:
## Strategic Asses...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Auto-analyze URLs and external information for strategic value.
Pipeline: READ -> CLASSIFY -> ANALYZE -> MAP -> STORE -> REMEMBER -> RESPOND
Most users do not need more content. They need better filtering. This skill turns noisy external information into structured, actionable intelligence.
# 1) Install
openclaw skills install github:sarahmirrand001-oss/openclaw-skill-intelligence-ingestion
# 2) Trigger
Analyze this: https://example.com/article
# 3) Verify
# - Obsidian note created
# - memory/YYYY-MM-DD.md updated
# - response includes category + strategic value
SKILL.md: skill behavior and 7-step pipelineindex.html: public landing page for sharingvercel.json: static deployment configThis repo is static-site ready for Vercel.
vercel --prod
# Intelligence Ingestion Skill When the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it. ## Trigger Conditions **USE this skill when:** - User sends a URL (x.com, github.com, any domain) - User pastes article text or tweet content - User says "analyze this", "evaluate this", "what do you think about this" - User forwards content from Telegram or any messaging surface - User shares something and asks about strategic value **DO NOT USE when:** - User is asking a general question unrelated to external content - User is asking about internal workspace files - User explicitly says they don't want analysis ## Pipeline Steps ### Step 1: READ — Extract Content 1. If a URL is provided, read the full content (use `read_url_content` or browser) 2. If text is pasted, use it directly 3. If X/Twitter link fails to parse (common), search web for the tweet content ### Step 2: CLASSIFY — What Is This? Assign **one primary category** and up to 2 secondary tags: | Category | Description | Examples | |----------|------------|---------| | `infra` | Infrastructure / protocols / networking | Pilot Protocol, MCP, networking stacks | | `strategy` | Routing / cost / architecture decisions | Model routing, multi-account, fallback chains | | `skill` | Agent skills / tools / capabilities | OpenAI Skills, Skill design patterns | | `theory` | Conceptual frameworks / mental models | Bayes, decision theory, learning loops | | `tutorial` | How-to guides / learning material | Claude Code, OpenClaw tutorials | | `product` | Tools / apps / services | LM Studio, new AI models, apps | | `community` | OpenClaw ecosystem / discussions | Community posts, feature requests | | `threat` | Risks / security / deprecation | API changes, breaking updates, security alerts | ### Step 3: ANALYZE — Strategic Value Assessment For each piece of information, evaluate: ```markdown ## Strategic Asses...
# OpenClaw Skill: Intelligence Ingestion Auto-analyze URLs and external information for strategic value. Pipeline: **READ -> CLASSIFY -> ANALYZE -> MAP -> STORE -> REMEMBER -> RESPOND** ## Why Most users do not need more content. They need better filtering. This skill turns noisy external information into structured, actionable intelligence. ## Quick Start ```bash # 1) Install openclaw skills install github:sarahmirrand001-oss/openclaw-skill-intelligence-ingestion # 2) Trigger Analyze this: https://example.com/article # 3) Verify # - Obsidian note created # - memory/YYYY-MM-DD.md updated # - response includes category + strategic value ``` ## What It Produces - Structured Obsidian note - Daily memory log update - Strategic value score (Critical/High/Medium/Low) - Next action recommendation ## Main Files - `SKILL.md`: skill behavior and 7-step pipeline - `index.html`: public landing page for sharing - `vercel.json`: static deployment config ## Deploy This repo is static-site ready for Vercel. ```bash vercel --prod ```
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
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Bots learn, human earns, curated open claw playbook list and skill list for life long learners at https://botlearn.ai