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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.
Open Knowledge Format (OKF) — Google's AI Agent Knowledge Standard
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.
Why Install This Skill
When your agent loads this skill, it can create and validate OKF knowledge bundles — the emerging standard for AI agent knowledge. That means:
- Structure knowledge for AI consumption — bundles of markdown with YAML frontmatter
- Validate bundle integrity — check frontmatter, cross-links, and directory structure
- Create from templates — scaffold new concepts and bundles
- Cross-link between concepts — express relationships between knowledge units
- Distribute without vendor lock-in — plain markdown, cloneable via git
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Core concepts, spec overview, quick start |
scripts/okf-bundle-validate.py |
OKF bundle validation script |
assets/ |
Concept template, example bundle |
references/ |
Spec summary, bundle architecture, use cases |
Triggers
Load this when working with OKF, creating knowledge bundles for AI agents, or converting documentation into agent-consumable format.
Requirements
Python 3.8+ with PyYAML for validation. No API keys needed.