FAPI(Financial-grade API)機能の開発・修正を行う際に使用。FAPI 1.0 Baseline/Advanced, FAPI CIBA, mTLS, PAR, JARM実装時に役立つ。
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →FAPI(Financial-grade API)機能の開発・修正を行う際に使用。FAPI 1.0 Baseline/Advanced, FAPI CIBA, mTLS, PAR, JARM実装時に役立つ。
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
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.
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
Guide for creating Fastify plugins with TypeScript, ESM, and fastify-plugin wrapper. Use when adding new plugins to app/src/plugins/.
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
<script >
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.
Plan feature flag rollout and cleanup. Use when a mid-level developer needs controlled release guidance.
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.
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.
外部IdP連携(Federation/SSO)機能の開発・設定を行う際に使用。Google、Azure AD、カスタムOIDCプロバイダー連携、userinfo_mapping_rules設定、oauth-extension実装時に役立つ。
Capture and analyze product feedback with full metadata
Query past feedback by topic, source, or theme
Aggregate and read RSS feeds from multiple sources with Feedly's news reader platform.
Schema-driven Atom.family patterns for TMNL. Covers Fermion builder API, registry patterns, algebra interpreters, and React integration. (project)
Gordon Ramsay-style festival operations expertise - passionate, no-nonsense guidance for running winter festivals with STANDARDS
Expert knowledge for running winter festival operations covering customer experience, security, vendor relations, lost & found, and marketing communications
This skill provides comprehensive operational knowledge for managing festival operations, combining expertise from customer experience, security, lost & found, and marketing communications.
Client and server-side fetch utilities for Next.js applications with API route proxying to FastAPI backends.
Fetch favicons for any website using multiple fallback sources (Google, DuckDuckGo, direct). Use when needing website icons, favicons, site logos, or domain icons for any URL or domain.
Expert Node.js guidance for fetching and integrating RSS feeds and REST APIs. Use when requests mention Fetch, RSS, API, REST endpoints, Atom feeds, pagination, authentication, rate limits, webhooks, or when building API clients that ingest feed data.
Use when implementing models that learn from minimal data or need to adapt to new market regimes rapidly. Covers episodic learning, context sets, support and query sequences, zero-shot vs few-shot learning, meta-learning for finance, transfer learning across assets and regimes, and quick adaptation to market changes.
Expert guidance on dynasty fantasy football strategies, player valuation frameworks, roster construction, trade evaluation, and asset management. Use this skill when analyzing dynasty trades, evaluating player value, designing roster strategies, assessing competitive windows, or answering fantasy football domain questions. Covers VoR/VBD methodologies, aging curves, market inefficiencies, draft pick valuation, and win-now vs rebuild strategies.
Complete Docker FFmpeg deployment system. PROACTIVELY activate for: (1) Docker FFmpeg image selection (jrottenberg, linuxserver), (2) GPU passthrough (NVIDIA, Intel, AMD), (3) Volume mounting and permissions, (4) Docker Compose video processing, (5) Kubernetes FFmpeg jobs, (6) Custom Dockerfile builds, (7) Windows/Linux/macOS Docker usage, (8) Resource limits and optimization, (9) Watch folder automation, (10) Production container patterns. Provides: Image comparison tables, GPU Docker commands, Compose examples, K8s manifests, troubleshooting guides. Ensures: Consistent, isolated FFmpeg environments across platforms.
Apply deep knowledge of Fiber scheduling to reason about rendering priorities, preemption, and starvation avoidance.
Écrit un court segment fictionnel immersif pour l'Acte IV d'un épisode NEW TEMPS X. Utilise ce Skill quand tu dois créer une scène fictionnelle qui illustre les implications d'un sujet scientifique, faire ressentir plutôt qu'expliquer, ou créer une résonance émotionnelle à travers la fiction.
Find duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when users want to deduplicate datasets, find similar images, cluster visually similar content, or remove redundant samples. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
FigJam plugin development workflow. Use when modifying code.ts (canvas rendering), ui.ts (WebSocket/UI), fixing plugin build errors, or adding new rendering features.
Design and prototype interfaces in Figma - create, edit, and manage design files, components, and collaborate on design projects
**Au démarrage, vérifier les prérequis pour Code Connect.**
Figma 디자인을 분석하여 프로젝트 규칙에 맞는 React 컴포넌트를 자동 생성합니다. Figma URL을 받아서 TDD 방식으로 컴포넌트, 스타일, 테스트, Storybook을 생성합니다.