Platform APIs for model management, pricing, and usage tracking

Upscale and enhance image and video resolution using AI

Provides assistance with planning family history and genealogy research projects.

Manage content, chats, subscribers, and earnings on the Fanvue creator platform via OAuth 2.0 API.

Imported skill faq_database from openai

Builds comprehensive FAQs and help center articles from customer questions and product documentation. Use when the user asks about FAQ pages, help centers, knowledge bases, support documentation, or customer questions.

Braiins Farm Monitor - Bitcoin mining fleet monitoring and management

Expert-level precision agriculture, farm management systems, crop monitoring, and agtech

FastAPI routes, services, auth JWT, streaming, error handling, OpenAI integration

This skill provides patterns for background task processing with multiple frameworks: ARQ (recommended for async), Celery, and Dramatiq.

This skill provides production-ready caching patterns using Redis for FastAPI applications.

Production-ready FastAPI backend skill for handling chat requests, persisting conversations, invoking OpenAI Agents SDK, and managing MCP tool execution for Todo AI chatbot.

Provides a comprehensive, reusable skill for standardized API error handling in FastAPI. Includes custom exception classes, global exception handlers, structured JSON logging, and standardized Pydantic error schemas. Use this when you need to implement a robust error handling system in a FastAPI project.

This skill provides production-ready observability patterns including structured logging, Prometheus metrics, and OpenTelemetry tracing.

Reusable FastAPI skill with REST endpoint patterns, Pydantic models, dependencies, and async operations. Use for building Python web APIs.

Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.

Create FastAPI web server with standard middleware, JWT authentication, and REST API endpoints

Verwalte Fastbill-Buchhaltung direkt aus Clawdbot: Kunden, Rechnungen, Produkte und Einnahmen.

Guide for creating Fastify plugins with TypeScript, ESM, and fastify-plugin wrapper. Use when adding new plugins to app/src/plugins/.

Query and invoke tools on MCP servers using fastmcp list and fastmcp call. Use when you need to discover what tools a server offers, call tools, or integrate MCP servers into workflows.

Examples and patterns for integrating FastMCP Cloud servers with Claude Agent SDK using HTTP transport

FastMCP server patterns for building MCP servers. Use when implementing MCP tools, resources, or server configuration.

Create MCP (Model Context Protocol) servers using FastMCP Python SDK. Define tools that AI agents can call to perform task operations. Use when building MCP servers for Phase 3 AI chatbot integration.

AI meeting assistant with automatic note-taking and summaries.

Fatigue analysis for offshore structures including S-N curves, rainflow counting, Miner's rule, and DNV standards

Enables Claude to browse restaurants and track deliveries on Favor (Texas)

Guide for building FoundationDB layers in Rust. Use when designing

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Create DevContainer features efficiently using proven patterns from this repository.

Execute a complete feature lifecycle: issue → code → sync.

Feature Development Workflow - 7-phase structured approach for building features. Based on Anthropic's official feature-dev plugin. Activates for build feature, implement feature, feature development, feature workflow, structured development.

| Atributo | Valor |

Integrate feature flagging into the React component lifecycle for safe continuous delivery.

Product strategist for scoring and ranking feature ideas using RICE/ICE prioritization frameworks, connecting features to business KPIs (retention, growth, revenue), and identifying quick wins vs strategic bets. Use when evaluating product features, prioritizing roadmap items, analyzing feature requests, or making product investment decisions.

New feature implementation. Use for 'add feature', 'implement', 'new feature' requests

Research-backed feature implementation workflow enforcing gap analysis, incremental planning, agent coordination, and continuous integration best practices. Auto-invoked for ALL feature implementation requests to prevent code duplication and ensure CLAUDE.md compliance.

Use this whenever a user wants to add a new feature or explitly states to research a feature/API or building a plan for a new feature. It iterviews the user for feature details (if not provided), research the best API/service for their needs, confirm choice, then gather all implementation notes for their request and save them as a .claude/plans file.

Feature-Sliced Design (FSD) is an architectural methodology for organizing frontend applications into a standardized, scalable structure. It provides clear separation of concerns through a layered hie

feature-slicing

Version features for offline and online serving.

How to organize features in LivestockAI

Analyze FEC (Federal Election Commission) campaign finance filings. Use when working with FEC filing IDs, campaign finance data, contributions, disbursements, or political committee financial reports.

Capture and analyze product feedback with full metadata

Use when confirming user actions - success checkmarks, error alerts, form validation, save confirmations, or any animation acknowledging what the user did.

Query past feedback by topic, source, or theme

Aggregate and read RSS feeds from multiple sources with Feedly's news reader platform.

飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送，支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别：本 skill 专注于消息通道集成，feishu-automation 专注于飞书平台自动化操作（多维表格、文档等）。

feishu-messaging