The Fifteen-Factor App methodology extends the original Twelve-Factor App principles (created by Heroku in 2012) with three additional factors essential for modern cloud-native applications: API First

Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.

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.

This skill processes files containing figlet tags and replaces them with ASCII art representations. It detects and preserves comment styles (forward slash forward slash, hash, double-dash, forward slash asterisk), automatically manages Node.js dependencies, and supports 400+ fonts (defaulting to the standard font). The skill should be used when a user requests converting marked text in a file to ASCII art using figlet tag syntax, or when they want to list available fonts.

Design and prototype interfaces in Figma - create, edit, and manage design files, components, and collaborate on design projects

Generate Figma mockups from wrangler specifications with hierarchical file structure and approval tracking

Extract design specifications from Figma designs using the Figma MCP server. Used during planning workflows to gather detailed design context for implementation.

Analyzes Figma designs and generates implementation-ready PRDs with detailed visual specifications. Use when user provides Figma link or uploads design screenshots. Requires Figma MCP server connection.

Extract design specifications from Figma files using MCP integration.

**Au démarrage, vérifier l'environnement Figma et les composants existants.**

Convert Figma designs into Flutter code through an automated workflow that extracts design metadata, generates reference code, exports assets, implements the UI, and iteratively tests until the implem

Create FilamentPHP v4 actions with modals, confirmation, forms, and bulk operations

Reference FilamentPHP v4 documentation for patterns, methods, and implementation examples

Create FilamentPHP v4 forms with fields, validation, sections, tabs, and relationships

Create FilamentPHP v4 infolists with entries, sections, and layouts for view pages

Create FilamentPHP v4 tables with columns, filters, sorting, search, and bulk actions

Reusable logic for categorizing files as Command, Agent, Skill, or Documentation based on structure and content analysis

Track and list files modified in the current workspace within the last week, ordered by most recent modification date. Use when you need to see recent file changes, track development progress, or identify files that have been worked on recently in a git repository.

Imported skill file_ops from langchain

Strict detection and removal of unrelated files before PR creation

Maintain context across Claude Code sessions using filesystem persistence. Prevents context loss, enables plan continuity, and supports multi-session workflows.

Completes feature/epic workflows after deployment with comprehensive walkthrough generation for epics (v5.0+), roadmap updates, artifact archival, documentation, and branch cleanup. Use after /ship-prod, /deploy-prod, or /build-local completes, or when user asks to finalize. (project)

Expert-level financial systems, FinTech, banking, payments, and financial technology

Analyze financial data, build models, evaluate investments, and provide data-driven financial recommendations

financial-close

<!-- STATIC CONTEXT BLOCK START - Optimized for prompt caching -->

Guidance for processing, classifying, and extracting data from financial documents (invoices, receipts, statements). This skill should be used when tasks involve OCR extraction, document classification, data validation from financial PDFs/images, or batch processing of financial documents. Covers safe file operations, incremental testing, and data extraction verification.

Build comprehensive 3-5 year financial models projecting revenue, expenses, headcount, cash flow, and runway. Model unit economics, scenario planning, and path to profitability. Generate investor-ready HTML reports with detailed projections and charts.

financial-proposal-generator

>

Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.

Use when preparing to fine-tune an LLM for multi-turn conversations, before generating any training data. Triggers - starting a fine-tuning project, need to define evaluation criteria, designing conversation data generation.

Use when training a fine-tuned model and evaluating improvement over base model. Triggers - have filtered training data, ready to submit training job, need to convert to GGUF. Requires finetune-generate first.

Clean up after a feature branch or experiment is complete. This skill deletes the git worktree and branch ONLY AFTER the associated PR has been merged. It also closes any related GitHub issues. Use this after your PR has been merged to keep the repository clean.

This skill performs a comprehensive end-of-day wrap up for the **current working directory**. It analyzes all work done, creates a detailed log, commits changes, and pushes to the remote repository. W

Mandatory gate for ending work sessions. Checks if minimum work duration has elapsed before allowing completion. ALWAYS use this skill before claiming work is complete.

Expert-level cloud financial operations, cost optimization, and cloud economics

Security and type safety standards for FinWiz including API key management, input validation, and mypy strict mode. Use when handling sensitive data, API keys, or implementing type safety.

Evidence-based diagnostic and treatment guidance for Feline Infectious Peritonitis (FIP). Use this skill when working with veterinary cases involving FIP or potential FIP, including (1) Differential diagnosis when clinical signs suggest FIP, (2) Interpreting diagnostic test results and determining next steps, (3) Treatment planning with GS-441524 or other antivirals, (4) Monitoring treatment response and adjusting protocols, (5) Managing relapses or treatment failures, (6) Client communication about prognosis and treatment options, (7) Prevention strategies and multi-cat household management, (8) Cattery breeding decisions after FIP cases, (9) Any questions about FIP diagnosis, treatment, prevention, or management. Also use when encountering mentions of FCoV, feline coronavirus, effusive/non-effusive disease forms, GS-441524, or related veterinary scenarios.

Guide for integrating Gemini AI models with Firebase using Firebase AI Logic SDK. This skill should be used when implementing Gemini features (chat, content generation, structured JSON output), configuring security (App Check), or troubleshooting issues (rate limits, schema errors).

Guide for configuring, deploying, and troubleshooting Firebase App Hosting with Next.js and other frameworks. Use when setting up apphosting.yaml, debugging build/deploy errors, managing environment variables, configuring Cloud Run settings, or adapting projects for App Hosting production environment.

Activate this skill when:

This skill system guides Firebase development using proven patterns from production projects. It routes to specialized sub-skills based on detected intent.

Firebase SDK documentation for iOS and Swift development, covering authentication, databases, cloud messaging, analytics, and more.

firebase-storage

Perform autonomous deep web research using Firecrawl's agent. Searches, navigates, and extracts data from websites without needing URLs. Use when users need web research, company information, competitive analysis, or structured data extraction from the web.

This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management.

firecrawl

Simulate a first-time UCV-CLI user experience. Tests if documentation enables new users to use the interactive variant management dashboard. Generates UX audit reports with friction points.