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What's inside
- Skill name
enrich- Description
- Enrich brain pages with tiered enrichment protocol. Creates and updates person/company pages with compiled truth, timeline, and cross-links. Use when a new entity is mentioned or an existing page needs updating.
- License
- MIT
- Instructions
- 323 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Enrich Skill Enrich person and company pages from external sources. Scale effort to importance. ## Contract This skill guarantees: - Every enriched page has compiled truth (State section) with inline citations - Every enriched page has a timeline with dated entries - Back-links are created bidirectionally - Tiered enrichment: Tier 1 (full), Tier 2 (medium), Tier 3 (minimal) based on notability - No stubs: every new page has meaningful content from web search or existing brain context > **Filing rule:** Read `skills/_brain-filing-rules.md` before creating any new page. > **Convention:** See `skills/conventions/quality.md` for Iron Law back-linking. Every mention of a person or company with a brain page MUST create a back-link FROM that entity's page TO the page mentioning them. An unlinked mention is a broken brain. See `skills/_brain-filing-rules.md` for format. ## Philosophy A brain page should read like an intelligence dossier, not a LinkedIn scrape. Facts are table stakes. Texture is the value -- what do they believe, what are they building, what makes them tick, where are they headed. ## Citation Requirements (MANDATORY) > **Convention:** see `skills/conventions/quality.md` for citation formats and source precedence. When sources conflict, note the contradiction with both citations. ## When To Enrich ### Primary triggers - User mentions an entity in conversation - Entity appears in a meeting transcript or email - New contact appears with significant context - Entity makes news or has a major event - Any ingest pipeline encounters a notable entity ### Do NOT enrich - Random mentions with no relationship signal - Bot/spam accounts - Entities with no substantive connection to the user's work - Same page enriched within the past week (unless new signal warrants it) ## Enrichment Tiers Scale enrichment to importance. Don't waste API calls on low-value entities. | Tier | Who | Effort | Sources | |------|-----|--------|---------| | 1 (key) | Inner circle, close collaborators, key contacts | Full pipeline | All available APIs + deep web research | | 2 (notable) | Occasional interactions, industry figures | Moderate | Web research + social + brain cross-ref | | 3 (minor) | Worth tracking, not critical | Light | Brain cross-ref + social lookup if handle known | ## The Enrichment Protocol (7 Steps) ### Step 1: Identify entities Extract people, companies, concepts from the incoming signal. ### Step 2: Check brain state For each entity: - `gbrain search "name"` -- does a page already exist? - **If yes:** UPDATE path (add new signal, update compiled truth if material) - **If no:** CREATE path (check notability gate first, then create) ### Step 3: Extract signal from source Don't just capture facts. Capture texture: | Signal Type | What to Extract | |-------------|----------------| | Opinions, beliefs | What They Believe section | | Current projects, features shipped | What They're Building section | | Ambition, career arc, motivation | What Motivates Them section | | Topics they return to obsessively | Hobby Horses section | | Who they amplify, argue with, respect | Network / Relationships | | Ascending, plateauing, pivoting? | Trajectory section | | Role, company, funding, location | State section (hard facts) | ### Step 4: External data source lookups Priority order -- stop when you have enough signal for the entity's tier. **4a. Brain cross-reference (always, all tiers)** - `gbrain search "name"` and `gbrain query "what do we know about name"` - Check related pages: company pages for person enrichment and vice versa - This is free and often the richest source **4b. Web research (Tier 1 and 2)** - Use Perplexity, Brave Search, Exa, or equivalent web research tool - **Key pattern:** Send existing brain knowledge as context so the search returns DELTA (what's new vs what you already know), not a rehash - Opus-class models for Tier 1 deep research, lighter models for Tier 2 **4c. Social media lookup (all tiers when handle known)** - Pull recent posts/tweets for tone, interests, current focus - Social media is the highest-texture signal for what someone actually thinks **4d. People enrichment APIs (Tier 1)** - LinkedIn data, career history, connections, education **4e. Company enrichment APIs (Tier 1)** - Company data, financials, headcount, key hires, recent news | Data Need | Example Sources | Tier | |-----------|----------------|------| | Web research | Perplexity, Brave, Exa | 1-2 | | LinkedIn / career | Crustdata, Proxycurl, People Data Labs | 1 | | Career history | Happenstance, LinkedIn | 1 | | Funding / company data | Crunchbase, PitchBook, Clearbit | 1 | | Social media | Platform APIs, web scraping | 1-3 | | Meeting history | Calendar/meeting transcript tools | 1-2 |
From Morris-UTRUST/GBrain-knowledge, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 27, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
enrich skill. Agent Mart. https://agentmart.dev/skills/morris-utrust-enrich (last updated 2026-10-24)