fetch-library-docs
Library Documentation Skill
Fetches official library documentation with 60-90% token savings.
WHEN TO INVOKE (Auto-Detection)
INVOKE AUTOMATICALLY when:
| Context | Detection Signal | Content Type |
|---|---|---|
| Implementing | About to write code using library API | examples,api-ref |
| Debugging | Error contains library name (e.g., PrismaClientError) |
troubleshooting |
| Installing | Adding new package, npm install, setup task |
setup |
| Integrating | Connecting libraries ("use X with Y") | examples,setup |
| Upgrading | Version migration, breaking changes | migration |
| Uncertain | First use of library feature, unsure of pattern | examples |
More from salmanferozkhan/cloud-and-fast-api
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89sqlmodel
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18fastapi
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models for validation, (4) setting up dependency injection, (5) implementing authentication (OAuth2, JWT, API keys), (6) integrating databases (SQLAlchemy sync/async), (7) writing tests for FastAPI apps, (8) deploying FastAPI to production (Docker, Gunicorn), or (9) implementing advanced features like WebSockets, middleware, background tasks.
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Expert guidance for building AI agents and multi-agent workflows using Microsoft Agent Framework for .NET. Use when (1) creating AI agents with OpenAI or Azure OpenAI, (2) implementing function tools and structured outputs, (3) building multi-turn conversations, (4) designing graph-based workflows with streaming/checkpointing, (5) implementing middleware pipelines, (6) orchestrating multi-agent systems with fan-out/fan-in patterns, (7) adding human-in-the-loop interactions, (8) integrating OpenTelemetry observability, or (9) exposing agents as MCP tools.
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