AGENT SKILLS · ÉQUIPEMENT DE MISSION

Des Agent Skills utiles classés selon leur usage réel

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Skills
23 248
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dernière synchronisation
4 nov. 2026
23 248 Skills
TerminalSkills
Communauté

falco

Falco is the CNCF runtime security tool that watches Linux system calls and Kubernetes audit events and alerts on suspicious behavior in containers and hosts. Use when installing Falco with Helm, Docker or apt, writing or tuning custom detection rules (shell in container, sensitive file read, unexpected outbound connection, crypto miner), routing alerts to Slack or a SIEM with Falcosidekick, or fixing rule load errors.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fast-check

Find edge-case bugs with property-based testing using fast-check — generate thousands of random inputs automatically. Use when someone asks to "find edge cases", "fast-check", "property-based testing", "fuzz testing in TypeScript", "generate random test data", "QuickCheck for JavaScript", or "test with random inputs". Covers property definitions, arbitraries, shrinking, model-based testing, and integration with Vitest/Jest.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fastapi

FastAPI is a Python web framework for building HTTP and WebSocket APIs from type-annotated functions, with request validation by Pydantic and automatic OpenAPI docs at /docs. Use this skill to create a FastAPI project, define routes and Pydantic schemas, use Depends dependency injection and Annotated parameters, add auth headers, background tasks, middleware, lifespan startup, WebSockets, tests with TestClient or httpx, and run the app with the fastapi CLI.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fastify

Fastify is a fast Node.js web framework for building JSON APIs, with JSON Schema validation and serialization, an encapsulated plugin system and lifecycle hooks. Use when the user wants to build or test a Fastify 5 REST API, add schema validation, JWT auth, a database plugin, CORS, hooks or error handling, or asks about Fastify project structure and plugin encapsulation.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fastlane

Automate mobile app builds, signing, and deployment with Fastlane — CI/CD for iOS and Android. Use when someone asks to "automate App Store deployment", "Fastlane", "automate iOS build", "CI/CD for mobile", "automate Play Store upload", "code signing automation", or "mobile release pipeline". Covers build automation, code signing, TestFlight, Play Store, screenshots, and CI.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fastmcp

FastMCP is a Python framework for building Model Context Protocol (MCP) servers and clients: a decorated Python function becomes a tool, resource or prompt that an AI agent can call, with the schema generated from type hints. Use when someone asks to "build an MCP server in Python", "create a FastMCP server", "expose this function to Claude as a tool", "turn our OpenAPI spec into MCP tools", "test my MCP server", "call an MCP server from Python", or "install my server into Claude Code or Cursor"

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

feature-flag-manager

Designs a self-hosted feature flag system with deterministic user bucketing, percentage rollouts, targeting rules and flag lifecycle management. Use when the user mentions "feature flag," "feature toggle," "gradual rollout," "canary release," "percentage rollout," "kill switch," "user bucketing," "experiment assignment," or "dark launch." Covers flag evaluation, deterministic user assignment, targeting rules, and flag lifecycle management. For experiment design, see ab-test-setup. For event trac

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

feedback-analysis

Collect, categorize, and synthesize user feedback from multiple channels into actionable product insights. Use when tasks involve analyzing support tickets, app store reviews, NPS survey responses, social media mentions, user interviews, feature request prioritization, sentiment analysis, churn prediction from feedback patterns, or building voice-of-customer reports. Covers multi-channel feedback aggregation and data-driven product decisions.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fff-nvim

fff (Fast File Finder, fff.nvim) is a Rust file-search toolkit with typo-resistant path and content search, frecency ranking and an in-memory index, shipped as a Neovim picker, an MCP server for AI agents, Node and Bun, Rust and C libraries. Use when the user wants faster file search or grep for Claude Code, Codex or Cursor, a Telescope replacement in Neovim, or a search library for an agent tool.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

ffmpeg

Transcode, convert, edit, and process audio and video with FFmpeg. Use when a user asks to convert video formats (webm to mp4, mkv to mp4), extract audio from video, compress video files, trim or cut clips, concatenate videos, add subtitles, create thumbnails, apply filters, change resolution or bitrate, re-encode media, create GIFs from video, add watermarks, normalize audio, stream media, or build automated media processing pipelines.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

ffuf

Discover hidden content, directories, subdomains, and API endpoints with ffuf — the fastest web fuzzer. Use when someone asks to "find hidden directories", "fuzz URLs", "discover API endpoints", "subdomain enumeration", "content discovery", "ffuf", "brute force paths", or "find hidden files on a website". Covers directory fuzzing, parameter fuzzing, subdomain discovery, virtual host enumeration, and recursive scanning.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fig

Fig was a macOS terminal app that showed IDE-style autocomplete for CLI commands. It shut down on 1 September 2024; its autocomplete moved into Amazon Q Developer CLI, which became the closed-source Kiro CLI in November 2025. The open completion-spec format (Fig.Spec, the withfig/autocomplete repository) still drives Kiro CLI, Microsoft inshellisense and VS Code's terminal suggestions. Use when a user asks "what happened to Fig", "what replaces Fig autocomplete", "write a Fig completion spec for

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

figma-api

The Figma REST API returns design files as JSON and renders nodes to images. Use it to read files, export icons and images, list published components, extract color and text styles as design tokens, and receive webhooks when files change. Use when the user asks to automate design handoff, sync Figma styles to code, export assets from Figma in a script or CI job, or integrate Figma with a build pipeline. Trigger words: figma api, figma token, figma export, design tokens, figma webhook.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

figma-to-code

Converts Figma designs into production-ready frontend code. Use when someone shares a Figma URL, design screenshot, or exported design tokens and needs React/Vue/HTML components, responsive layouts, or design system code. Trigger words: Figma, design to code, mockup, wireframe, UI implementation, pixel perfect, design handoff, component from design.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

file-organizer

Organize and rename files based on content analysis. Use when a user asks to sort files into folders, rename files by pattern, organize a messy directory, categorize documents by type or content, deduplicate files, or clean up a downloads folder. Handles smart renaming, content-based sorting, and duplicate detection.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

file-upload-processor

When the user needs to build file upload functionality for a web application. Use when the user mentions "file upload," "image upload," "upload endpoint," "multipart upload," "presigned URL," "S3 upload," "file validation," "upload to cloud storage," or "accept user files." Handles upload endpoints, file validation (type, size, magic bytes), cloud storage integration, and upload status tracking. For bucket setup and presigned URLs in depth, see s3-storage.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

find-community

Finds the places where a defined group of customers already talks to each other, measures each place for activity, how often the target problem comes up, buying signals and posting rules, and returns a ranked community map with a 30-day participation plan. Use when someone asks "where do my customers hang out", "which community should I build for", "find subreddits and forums for my product", "who should I serve", "how do I get involved without spamming", or "should I start my own community". Co

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

firebase

Expert guidance for Firebase, Google's platform for building and scaling web and mobile applications. Helps developers set up authentication, Firestore/Realtime Database, Cloud Functions, hosting, storage, and analytics using Firebase's SDK and CLI.

Installations
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GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

firecrawl

Convert any website into clean, structured data with Firecrawl — API-first web scraping service. Use when someone asks to "turn a website into markdown", "scrape website for LLM", "Firecrawl", "extract website content as clean text", "crawl and convert to structured data", or "scrape website for RAG". Covers single-page scraping, full-site crawling, structured extraction, and LLM-ready output.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fireworks-ai

Fireworks AI runs open-weight LLMs (Kimi, GLM, DeepSeek, Qwen, gpt-oss and others) through an OpenAI-compatible serverless API and dedicated deployments. Use when integrating Fireworks inference, streaming chat, tool calling, JSON-schema structured output, prompt caching, batch inference, or fine-tuning a model with firectl and serving the result.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

first-customers

Plans and tracks the direct, one-at-a-time selling that gets a new product or service its first 10 to 100 paying customers: sizes the outreach needed from stage conversion rates and the founder's hours, builds a prospect list ordered by warmth, shapes an early-customer offer and price, drafts outreach and call scripts, and reads the funnel each week. Use when someone asks "how do I get my first customers", "nobody is buying, what do I do", "write a cold email for my product", "how many people do

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

flask

Flask is a lightweight Python web framework built on Werkzeug and Jinja2; it gives you routing, requests, templates and a test client and leaves the rest to extensions. Use this skill when the user wants to build a Flask app or JSON API, set up an application factory with blueprints, add Flask-SQLAlchemy, Flask-Migrate or Flask-Login, write pytest tests for a Flask app, or run it with the flask CLI and gunicorn.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

flink

Process real-time data streams with Apache Flink. Use when a user asks to build real-time analytics, process event streams with low latency, implement complex event processing, or run stateful stream processing at scale.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.
TerminalSkills
Communauté

fluentd

Configure Fluentd for unified log collection, routing, filtering, and forwarding across distributed systems. Use when a user needs to aggregate logs from multiple sources, transform log data with filters, route logs to different destinations, or set up Fluentd as a Kubernetes log collector.

Installations
—
GitHub Stars
192
Mis à jour
4 nov.