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OpenClaw

Intelligence Ingestion

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.

2233admin0 来源安装数☆ 0 仓库 Stars

安装与使用

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。

查看来源 ↗使用指南

技能说明

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:

## Strategic Asses...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/2233admin/openclaw-skill-intelligence-ingestion
Version
—
Commit
506e6b681249ada7d6ed3a88b199316881403ab6
分类来源
rules
状态
active
可见性
public

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。

README

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

# 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.

vercel --prod

来源内容

SKILL.md
# 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...
README
# 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
```

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