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enrich

Enrich brain pages with tiered enrichment protocol.

Skill by Morris-UTRUST

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

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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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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

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Cite this page

enrich skill. Agent Mart. https://agentmart.dev/skills/morris-utrust-enrich (last updated 2026-10-24)