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.

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Best use case

Intelligence Ingestion is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.

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.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "Intelligence Ingestion" skill to help with this workflow task. Context: 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.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openclaw-skill-intelligence-ingestion/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/2233admin/openclaw-skill-intelligence-ingestion/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openclaw-skill-intelligence-ingestion/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Intelligence Ingestion Compares

Feature / AgentIntelligence IngestionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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 Assessment
- **What is it?** [One sentence]
- **What can it do for us?** [Specific capability/benefit]
- **What can we build with it?** [Concrete output/project]
- **Strategic value:** [🔴 Critical / 🟡 High / 🟢 Medium / ⚪ Low]
- **Competitive edge:** [What advantage over people who don't have this?]
- **Relation to active bottleneck:** [Does it relate to context overflow/token saving?]
```

Reference the current engineering bottleneck from `MEMORY.md` → "Active Engineering Bottleneck" section.

### Step 4: MAP — Relate to Existing Architecture

Check against the OpenClaw stack:
```
SOUL.md → PRINCIPLES.md → AGENTS.md (Identity Stack)
MEMORY.md (System State + Bottleneck)
TOOLS.md (Coprocessors: Codex, Antigravity, LM Studio)
Pilot Protocol (Context Separation Layer - P0)
```

Determine which layer this information impacts and note dependencies/synergies with existing components.

### Step 5: STORE — Write Obsidian Note

Create a note at:
```
/Volumes/T7 Shield/Obsidian_Vault/20_Intelligence/YYYYMMDD_AuthorOrSource_ShortTitle.md
```

Follow this template exactly:
```markdown
# [Title]

**Source:** [Link](URL)
**Date:** YYYY-MM-DD
**Category:** [Primary Category] / [Secondary Tags]
**Strategic Value:** [🔴/🟡/🟢/⚪] + one-line reason
**Relation to Active Bottleneck:** [Yes/No + how]

---

## Summary
[2-3 paragraphs of core content]

## Key Takeaways
[Numbered list of actionable insights]

## Impact on OpenClaw Architecture
[How this relates to our stack]

## Action Items
[What to do next, if anything]

---

**Keke's Note:** [Opinionated analysis in Keke's voice — direct, no-BS, relate to 阳哥's goals]
```

### Step 6: REMEMBER — Update Memory

1. **Always** append to today's daily log: `~/.openclaw/workspace/memory/YYYY-MM-DD.md`
2. **If strategic value is 🔴 Critical**: Also update `MEMORY.md` (Pending Work or Active Bottleneck)
3. **If it suggests a new principle**: Flag for potential `PRINCIPLES.md` update
4. **If it's a new tool/service**: Flag for potential `TOOLS.md` update

### Step 7: RESPOND — Summarize to User

Reply with a concise summary:
```
📥 已摄取: [Title]
📂 类别: [Category]
🎯 战略价值: [🔴/🟡/🟢/⚪] [One-line reason]
💾 已存档: Obsidian → 20_Intelligence/[filename]
📝 已记录: memory/YYYY-MM-DD.md
🔗 关联: [Which existing component it relates to]
⚡ 建议行动: [Next step, if any]
```

## Edge Cases

- **Multiple URLs in one message**: Process each separately, create separate Obsidian notes
- **Duplicate/similar content**: Check if similar note exists, merge or reference instead of duplicating
- **Non-English content**: Analyze in original language, write notes in Chinese (matching existing vault style)
- **Paywalled/inaccessible content**: Note as "content unavailable" and work with whatever user provided
- **User provides their own analysis**: Incorporate their judgment, don't overwrite — they know their system best

## Quality Checklist

Before completing, verify:
- [ ] Obsidian note created with correct filename format
- [ ] Daily memory log updated
- [ ] Source URL preserved in note
- [ ] Strategic value assessed against current bottleneck
- [ ] Keke's Note written with genuine analysis (not generic)
- [ ] User received confirmation summary

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