Update CLAUDE.md or rules when patterns of errors emerge

Use when receiving UAT feedback, bug reports, user testing results, stakeholder feedback, QA findings, or any batch of issues to investigate. Investigates each item BEFORE creating issues, classifies by type and priority, creates well-formed GitHub issues with proper project board integration.

Marketing and communications expertise from Elena covering last-minute requests, emergency protocols, channel selection, and timeline management for festival communications

Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.

Fetch store leads from Google Maps using Dumpling AI API. Use this skill when the user wants to search for businesses, stores, restaurants, or any places on Google Maps.

Curated few-shot examples for construction AI tasks: classification, extraction, analysis. Domain-specific examples for improved LLM performance.

Example-based prompting techniques for in-context learning

Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.

Expert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting appropriate ML algorithms, or addressing sports-specific ML challenges. Covers feature engineering patterns, model selection frameworks, validation strategies, and interpretability techniques for fantasy football analytics.

Expert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, or conducting hypothesis tests. Covers regression types (OLS, Ridge, Lasso, GAMs), Monte Carlo frameworks, regression-to-mean analysis, and statistical best practices for player performance modeling.

Your approach to handling ffi memory management. Use this skill when working on files where ffi memory management comes into play.

Build or modify the Rust↔Python FFI using PyO3+maturin. Use for binding builds, smoke tests, and boundary validation workflow.

Complete CI/CD video processing system. PROACTIVELY activate for: (1) GitHub Actions FFmpeg setup, (2) GitLab CI video pipelines, (3) Jenkins declarative pipelines, (4) FFmpeg caching strategies, (5) Windows runner workarounds, (6) GPU-enabled self-hosted runners, (7) Matrix builds for multi-format, (8) Artifact upload/download, (9) Video validation workflows, (10) BtbN/FFmpeg-Builds integration. Provides: YAML workflow examples, Docker container patterns, caching configuration, platform-specific solutions, debugging guides. Ensures: Fast, reliable video processing in CI/CD pipelines.

Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.

Complete FFmpeg video stabilization and 360/VR video processing. PROACTIVELY activate for: (1) Video stabilization (deshake, vidstab), (2) Hardware-accelerated stabilization (deshake_opencl), (3) 360/VR video transforms (v360), (4) Perspective correction (perspective), (5) Ken Burns/zoom-pan effects (zoompan), (6) Lens distortion correction (lenscorrection, lensfun), (7) Action camera footage, (8) Drone video processing, (9) VR headset formats. Provides: Stabilization workflows, 360 projection conversions, motion effects, lens correction.

Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.

Complete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale comparisons, template commands for music videos and podcasts. Ensures: Professional audio visualizations for content creation.

Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4) SharedArrayBuffer and COOP/COEP headers, (5) Multi-threaded ffmpeg-core-mt, (6) Cloudflare Workers limitations, (7) Custom ffmpeg.wasm builds, (8) Memory management and cleanup, (9) Progress tracking and UI, (10) IndexedDB core caching. Provides: Framework-specific examples, header configuration, common operation recipes, performance optimization, troubleshooting guides. Ensures: Client-side video processing without server dependencies.

Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis

Testing toolkit for the FHIR Writing Clinical Notes specification at connectathons. Use when the user needs to test FHIR DocumentReference write operations, validate conformance with the Writing Clinical Notes spec, or participate in a FHIR connectathon for clinical notes. Includes templates, OAuth helpers, and automated test scenarios for both provider-authored and patient-asserted notes.

Comprehensive FHIR (Fast Healthcare Interoperability Resources) software development assistant. Use when working with FHIR APIs, implementations, or healthcare data exchange. Supports FHIR R4, R4B, R5, Implementation Guides (IGs), validation, terminology, and SMART on FHIR. Ideal for building FHIR servers, clients, validators, or healthcare applications that need to process FHIR resources.

Use when writing or editing novels, short stories, or any fiction manuscript. Trigger on: 'write fiction', 'edit my novel', 'developmental edit', 'line edit', 'character voice', 'plot hole', 'brainstorm', or fiction writing tasks.

Extract design assets and metadata from Figma using the Figma REST API.

Extract and analyze Figma designs to create structured design specifications. Use this skill when you need to analyze Figma nodes, extract design properties (layout, spacing, typography), classify components using Atomic Design principles, and generate design specification documents that can be used for implementation.

figma-design-extraction

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.

Pixel-perfect implementation of Figma designs. When Claude needs to translate Figma designs into code with precise attention to autolayout, variables, and styles.

Standardize Figma-to-code workflow using Figma MCP - always get_design_context first, then screenshot, use project tokens not hardcoded values, validate 1:1 parity

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

Generates React code for a full page based on pasted Figma 'Inspect' details. Uses the page scaffolder.

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

Generate Pest tests for FilamentPHP v4 resources, forms, tables, and authorization

Pattern for respecting file ownership boundaries during implementation. Prevents conflicts in parallel work.

How to use the file-factory CLI to create new React components, hooks, context providers, Next.js pages along with associated tests and storybook stories. ALWAYS use this tool instead of manually creating new components/hooks/contexts/pages to ensure consistent file structure and conventions.

**Use this for FILE-SPECIFIC history queries. For general semantic search across all conversations, use episodic-memory instead.**

File Organization Standards Skill

[PROJECT] file and directory structure conventions and enforcement

File permission test. Use for testing.

file-restructurer

Search for files and content in a codebase. Use when investigating a codebase, finding patterns, or locating specific files. Not for reading file content or simple directory listing.

Organizes or restructures files and directories according to a specified hierarchy or categorization scheme. Analyzes existing structures, creates new directory trees, intelligently moves files based on content and naming patterns, and verifies the final organization.

Use when Codex needs to inspect or modify files via the local Python filesystem MCP server running at `servers/filesystem`.

Ingest SEC EDGAR filings (10-K, 10-Q, 8-K) via official API with source tracking and pgvector storage

Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean logic, and limit for sampling results. Does NOT cover aggregation (see aggregating-event-datasets skill).

>

Final validation before task completion. Verifies all skills were consulted, documentation updated, tests pass. HAS VETO POWER - blocks incomplete tasks.

World-class SaaS financial expert specializing in subscription accounting, revenue recognition (ASC 606), MRR/ARR tracking, cash flow management, unit economics, and financial planning for indie founders and SaaS companies.