AI Skill Files

Paste any skill URL into your AI assistant (Claude, Cursor, Copilot, ChatGPT…) to instantly give it full knowledge of that BazaarLink topic. No setup required — the assistant reads the file and knows what to do.

What Are Skills?

Skills are pre-built, reusable prompt workflows that run inside Claude Code and other agentic environments. Each skill encapsulates a specific capability — from writing implementation plans to reviewing pull requests — letting your AI agent invoke complex multi-step behaviors with a single command.

BazaarLink hosts a growing library of skills. You can browse available skills, call them via the API, or build your own. Skills run server-side through the BazaarLink Worker runtime, keeping your prompts fast and your context window clean.

How to Call a Skill

Call any skill through the BazaarLink API using the standard completions endpoint. Pass the skill name as a system prompt prefix or use the X-Skill header for automatic routing.

import openai

client = openai.OpenAI(
    base_url="https://bazaarlink.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Review this PR: #123"}],
    extra_headers={"X-Skill": "pr-review"}
)
print(response.choices[0].message.content)

Skills vs. Models

Models are the raw intelligence — they generate text, code, and structured data. Skills are workflows built on top of models: they provide the system prompt, enforce a reasoning structure, and return results in a predictable format. Think of skills as the domain expertise layer and models as the execution engine underneath.

When you call a skill, BazaarLink automatically selects the best underlying model for that task and injects the skill's curated system prompt. You get consistent, high-quality output without managing prompt engineering yourself.

Skills