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/claude-mega-brain

OKF knowledge navigation. ALWAYS use this skill the moment a `<mega-brain>` block appears in session context — it means the project has documented concepts and you must consult them before answering questions about data, schemas, metrics, APIs, or systems. Also trigger when the

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mega-brain
1284 skills2 hooks
Install
$ npx -y skills add guhcostan/claude-mega-brain --skill claude-mega-brain --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/claude-mega-brain

Context preview

The summary Claude sees to decide when to auto-load this skill.

OKF knowledge navigation. ALWAYS use this skill the moment a `<mega-brain>` block appears in session context — it means the project has documented concepts and you must consult them before answering questions about data, schemas, metrics, APIs, or systems. Also trigger when the

SKILL.md

claude-mega-brain.SKILL.md
name: claude-mega-brain
description: OKF knowledge navigation. ALWAYS use this skill the moment a `<mega-brain>` block appears in session context — it means the project has documented concepts and you must consult them before answering questions about data, schemas, metrics, APIs, or systems. Also trigger when the user asks about a table, column, metric definition, service, or API endpoint and there's any chance it's documented in the project. When in doubt, read the file directly.

claude-mega-brain — OKF Knowledge Navigator

When `<mega-brain>` context is present, the project has OKF-documented concepts — any Markdown file with `type:` in its YAML frontmatter. These are the authoritative source for domain knowledge: exact schemas, metric formulas, API contracts, runbooks, business definitions. **Answers from the knowledge base beat answers from training data.**

What OKF files look like

Any `.md` file anywhere in the project with YAML frontmatter containing `type:`:

---
type: BigQuery Table
title: Orders
description: One row per completed customer order.
resource: https://...
tags: [sales, revenue]
timestamp: 2026-06-29T00:00:00Z
---

# Schema
| Column | Type | Description |
...

No dedicated folder required. The file can live in `docs/`, `wiki/`, project root, anywhere.

Navigation

1. **Read the file** — paths in `<mega-brain>` are relative to the project root; use the Read tool directly 2. **Follow links** — `[text](rel-path.md)` links in the body point to related concepts; read them 3. **log.md** — chronological changelog; last 3 entries are injected automatically 4. **Linked concepts auto-surface** — after you read an OKF file, linked concept summaries appear via PostToolUse hook

When to proactively read files

  • User asks about a data source, table, column, or metric — check `<mega-brain>` index first
  • Before writing SQL, queries, or code that touches project data
  • When a business term is ambiguous — OKF has the canonical definition
  • When the user says "check the knowledge base", "what do we know about X", or "olha no okf"

If `<mega-brain>` context is missing

No OKF concepts found in the project yet. Suggest:

  • `/mega-brain:init` — creates `index.md` and `log.md` to get started
  • `/mega-brain:migrate` — scans existing docs and generates OKF files automatically
Read more
Ships withmega-brain

Loads the knowledge. Skips the search. 100% accuracy · 0 tool calls · −66% tokens vs Obsidian+MCP Real agentic sessions. Benchmark →

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Stats
128
Stars
18
Forks
Maintained
Maintenance
Python
Language
MIT
License
3mo ago
Last commit
3mo ago
Created
7h ago
Added

Repo: guhcostan/claude-mega-brain

Other skills on mega-brain.