FastAPI
BackendCommonly used with
Skills using FastAPI (11)
code-to-prd
Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Trigger when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.
api-doc-generator
Generate API documentation from source code, supporting REST APIs, GraphQL, and various documentation formats.
analyzing-projects
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
i18n-date-patterns
Implements internationalization (i18n) in React applications. Covers user-facing strings, date/time handling, locale-aware formatting, ICU MessageFormat, and RTL support. Use when building multilingual UIs or formatting dates/currency.
resource-scout
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
coverage-check
Check test coverage and identify files below 80% threshold. Use before committing to avoid SonarCloud failures.
python-engineer
Build production Python applications — FastAPI/Flask backends, async processing, data engineering with pandas, scripting automation, CLI tools with Typer, testing with pytest, type hints, virtual environments, and package management. Use when building Python backends, data pipelines, scripts, or CLI tools.
perseus-logic
Business logic, race conditions, and AI security analysis
ml-ops-engineer
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
vespera
Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.
claude-code-dispatch
Dispatch development tasks to Claude Code with automatic callback on completion. Supports Agent Teams (multi-agent parallel dev with dedicated Testing Agent), cost controls (--max-budget-usd), model fallback, git worktree isolation, custom subagents via --agents JSON, and MCP server integration. Use when: (1) dispatching a coding task to Claude Code and wanting automatic Telegram notification on completion, (2) running Agent Teams for parallel dev+test workflows, (3) needing zero-polling task execution with Stop Hook callback, (4) the user says 'use Claude Code to build/develop/create X', (5) the user asks to dispatch or run a Claude Code task. THIS IS THE DEFAULT for any 'build/develop/create a project' request — prefer this over claude-code-clawdbot for anything that takes >2 min or needs background execution.
Integration detected automatically from skill content. Some results may be false positives.