Analysis revision f17010cGitHub snapshot Aug 12, 2026Metrics are a dated GitHub snapshot and are not used as a quality score.
This is not a software-delivery operating system. Its value is showing, in first-party files, how a Skill is packaged, progressively loaded, and tested against a baseline.
Each Skill is an independently loadable directory. Its name and description stay visible for discovery, SKILL.md loads when triggered, and scripts, references, or assets are used only when needed. The bundled skill-creator then evaluates real prompts against a baseline, grades assertions and output quality, and iterates from human feedback.
What enters context, and when
The package shape is a context-budget contract. A useful Skill keeps discovery cheap, delays its procedure until it triggers, and defers heavy material until the task actually needs it.
name + description
Discovery metadata tells the model both what the Skill does and when it should be selected.
SKILL.md
The decision procedure enters context only after the trigger has matched.
scripts / references / assets
Deterministic work, optional knowledge, and output material remain outside the main prompt until referenced or executed.
What the repository teaches about Skill design
Three context levels
Discovery metadata is always visible, SKILL.md loads only after a trigger, and bundled resources enter context or execute only when needed.
Behavior is evaluated against a baseline
skill-creator runs realistic prompts with and without the Skill, grades assertions and outputs, records cost and timing, and presents human review.
Minimal and production-heavy examples
A tiny template sits beside script- and asset-heavy document workflows used by Claude, exposing both packaging extremes and their license boundary.
Evaluate behavior before polishing prose
Start with the template and make the description say both what the skill does and when it should trigger.
Keep the main procedure in SKILL.md; move repeatable operations, optional knowledge, and output material into scripts, references, and assets.
Diagnose trigger failures separately from output failures: tune description with trigger evals, and tune the body with task assertions and human review.
Use it as a reference library, not a process owner
Useful when
Learning Agent Skill anatomy, creating a new Claude skill, or studying mature document and workflow examples.
Do not assume
Anthropic describes most entries as demonstration and educational material. Test them in your own environment; some document skills are source-available rather than open source.
Sources reviewed
f17010c