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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.

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Intelligence Ingestion 技能。 若已安装,则直接安装 Intelligence Ingestion 技能。

Overview

Skill Key
2233admin/openclaw-skill-intelligence-ingestion
Author
2233admin
Source Repo
openclaw/skills
Version
-
Source Path
skills/2233admin/openclaw-skill-intelligence-ingestion
Latest Commit SHA
506e6b681249ada7d6ed3a88b199316881403ab6

Extracted Content

SKILL.md excerpt

# 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 excerpt

# 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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