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docs: README lead with skill philosophy and link to Thin Harness Fat Skills

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Skills section now explains: skill files are code, they encode entire
workflows, they call deterministic TypeScript for the parts that shouldn't
be LLM judgment. Links to the tweet and the architecture essay.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Garry Tan
2026-04-14 21:15:36 -07:00
co-authored by Claude Opus 4.6
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@@ -75,7 +75,9 @@ Per-client guides: [`docs/mcp/`](docs/mcp/DEPLOY.md). ChatGPT requires OAuth 2.1
## The 25 Skills
GBrain ships 25 skills organized by `skills/RESOLVER.md`. The resolver tells your agent which skill to read for any task. Skills are fat markdown files, not code. The agent reads them on demand.
GBrain ships 25 skills organized by `skills/RESOLVER.md`. The resolver tells your agent which skill to read for any task.
[Skill files are code.](https://x.com/garrytan/status/2042925773300908103) They're the most powerful way to get knowledge work done. A skill file is a fat markdown document that encodes an entire workflow: when to fire, what to check, how to chain with other skills, what quality bar to enforce. The agent reads the skill and executes it. Skills can also call deterministic TypeScript code bundled in GBrain (search, import, embed, sync) for the parts that shouldn't be left to LLM judgment. [Thin harness, fat skills](docs/ethos/THIN_HARNESS_FAT_SKILLS.md): the intelligence lives in the skills, not the runtime.
### Always-on