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Magnus Hedemark
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Each README is written for a human audience, explaining: - What the skill does (not what format it follows) - What benefit the user gets from installing it - Quick setup and usage patterns - When to load/trigger the skill - What scripts, references, and templates it ships data-scientist already had a README — left unchanged. 48 READMEs added across all skill and bundle directories.
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
# Open Knowledge Format (OKF) — Google's AI Agent Knowledge Standard
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Google's vendor-neutral format for representing knowledge as markdown files with YAML frontmatter, designed for AI agent consumption. Create, validate, and consume knowledge bundles.
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## Why Install This Skill
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When your agent loads this skill, it can **create and validate OKF knowledge bundles** — the emerging standard for AI agent knowledge. That means:
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- **Structure knowledge for AI consumption** — bundles of markdown with YAML frontmatter
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- **Validate bundle integrity** — check frontmatter, cross-links, and directory structure
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- **Create from templates** — scaffold new concepts and bundles
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- **Cross-link between concepts** — express relationships between knowledge units
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- **Distribute without vendor lock-in** — plain markdown, cloneable via git
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## What You Get
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| Directory | Purpose |
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|-----------|---------|
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| `SKILL.md` | Core concepts, spec overview, quick start |
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| `scripts/okf-bundle-validate.py` | OKF bundle validation script |
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| `assets/` | Concept template, example bundle |
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| `references/` | Spec summary, bundle architecture, use cases |
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## Triggers
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Load this when working with OKF, creating knowledge bundles for AI agents, or converting documentation into agent-consumable format.
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## Requirements
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Python 3.8+ with PyYAML for validation. No API keys needed.
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