Claude Skills

Salesforce Agentforce AI agents and autonomous automation (2025)

Extract MQL5 articles and documentation. TRIGGERS - MQL5 articles, MetaTrader docs, mql5.com resources.

Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks.

Microsoft Fabric Lakehouse, OneLake, and Fabric Warehouse connectors for Azure Data Factory (2025)

AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.

Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources

Complete FFmpeg core knowledge system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Basic transcoding and format conversion, (2) Command syntax questions, (3) Codec selection (H.264, H.265, VVC, AV1, VP9, APV), (4) Quality settings (CRF, bitrate, presets), (5) Video/audio filter chains, (6) Trimming, splitting, concatenating, (7) Resolution scaling and aspect ratios, (8) FFmpeg 8.0 features (Whisper AI, Vulkan codecs, APV, WHIP), (9) Version checking and update guidance. Provides: Command syntax reference, codec comparison tables, filter examples, format conversion recipes, probing commands, Whisper transcription examples, version checking commands. Ensures: Correct FFmpeg usage with 2025 best practices and latest stable version.

Complete FFmpeg deinterlacing, field processing, and telecine removal for broadcast and professional video. PROACTIVELY activate for: (1) Deinterlacing interlaced video (yadif, bwdif, w3fdif), (2) Hardware-accelerated deinterlacing (yadif_cuda, bwdif_cuda, bwdif_vulkan), (3) Inverse telecine/pulldown removal (pullup, fieldmatch), (4) Field order correction (fieldorder), (5) Field separation/weaving (separatefields, weave, tinterlace), (6) Interlace detection (idet), (7) DVD/Blu-ray processing, (8) Broadcast content conversion. Provides: Deinterlacing filters, telecine removal, field processing, hardware acceleration options.

Python logging with loguru and platformdirs. TRIGGERS - loguru, structured logging, JSONL logs, log rotation, XDG directories.

Use when implementing CMMI processes in GitHub or Azure DevOps, migrating between platforms, or establishing traceability/compliance on GitHub/Azure - platform-specific process guidance

Use when deciding test strategy, struggling with code reviews, shipping without tests, or conflating verification with validation

Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skills

Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents vanity metrics and measurement theater

Use when defining requirements, tracking traceability, managing requirement changes, or establishing RTM - covers elicitation, analysis, specification across CMMI Levels 2-4

Route to the right UX skill based on your task and platform context

This skill should be used when the user asks to "test angreal tasks", "mock angreal", "document tasks", "angreal best practices", "error handling in tasks", "subprocess patterns", "dry run mode", "verbose mode", or needs guidance on testing patterns, development workflows, documentation strategies, or common implementation patterns for angreal tasks.

Use when maintaining, enhancing, or modifying existing Claude Code plugins - handles skills, commands, agents, hooks, and reference sheets through systematic domain analysis, structure review, behavioral testing, and quality improvements

This skill should be used when the user asks to "write a ToolDescription", "add AI guidance to task", "document task for AI", "set risk level", "write tool description prose", "guide AI agents", or needs guidance on angreal.ToolDescription, risk_level, writing effective descriptions for AI agent consumption, or making tasks AI-friendly.