Build on the whole library.
The same public JSON that powers this playground, served from the edge. Search skills, pull any one's full instructions (use it as your model's system prompt), and browse workflow recipes. Running a skill against a model is a separate, key-gated step — do it yourself with your own key, or use the throttled /try convenience endpoint.
Describe the task in plain words; get the best-matching skills back.
All skills, or filter with ?bundle=, ?q=, ?limit=.
The full skill, including instructions — that's the system prompt you feed your model. Add ?format=md for raw markdown.
Multi-step recipes that chain skills into a bigger job.
The production path: pull a skill's instructions and use it as your model's system prompt. Provider-neutral — the same field works for Claude, OpenAI, Gemini, or a local model.
const skill = await (await fetch(
'BASE/v1/skills/executive-update'
)).json();
const res = await fetch('https://api.anthropic.com/v1/messages', {
method: 'POST',
headers: { 'content-type': 'application/json', 'x-api-key': KEY, 'anthropic-version': '2023-06-01' },
body: JSON.stringify({
model: 'claude-sonnet-4-6',
max_tokens: 2000,
system: skill.instructions, // ← the skill IS the system prompt
messages: [{ role: 'user', content: 'This week: shipped X, churn up 2pts…' }],
}),
});