Intelligence Ingestion
OpenClaw Skill for high-signal information filtering. Zero-loss pipeline for Telegram/macOS workflows.
Pipeline
7 Steps
Focus
Signal > Noise
Output
Obsidian + Memory
Mode
CLI First
Quick Start (3 Steps)
Copy the commands below. This is the fastest path from “I found it” to “it works”.
1) Install skill openclaw skills install github:sarahmirrand001-oss/openclaw-skill-intelligence-ingestion 2) Trigger with a URL Analyze this: https://example.com/article 3) Verify output - Obsidian note created - memory/YYYY-MM-DD.md updated - reply contains category + strategic value
What It Does
Automatically ingests URLs/articles/posts, scores strategic value, maps relevance to active bottlenecks, stores structured notes, and updates memory logs.
1. READ — Extract content from URL/text
2. CLASSIFY — Assign category + tags
3. ANALYZE — Strategic value assessment
4. MAP — Connect to architecture layers
5. STORE — Write Obsidian intelligence note
6. REMEMBER — Update daily and global memory
7. RESPOND — Return concise operator summary
Input → Output
Input Example
Analyze this: https://github.com/teoslayer/pilotprotocol
Output Example
Category: infra
Strategic Value: 🟡 High
Saved to Obsidian + memory log.
Repository
Repository: openclaw-skill-intelligence-ingestion
Skill spec: SKILL.md
Best for teams that need consistent, explainable information triage before decision-making.