Total 50,540 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Install themed spinner verb packs for Claude Code. Fetches spinner packs directly from the awesome-claude-spinners repository and installs them into the user's settings. Use when the user wants to customize their Claude Code spinner, install spinner verbs, or change spinner themes.
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
AI Face Swap - Swap face in video, deepfake face replacement, face swap for portraits. Use from command line. Supports local video files, YouTube, Bilibili URLs, auto-download, real-time progress tracking.
Connect to PAXS AI platform to create meetings, upload recordings, and generate transcriptions and meeting notes. Use this skill when a user wants to transcribe audio, create meeting notes, or interact with the PAXS platform.
Create Skills, write Skills, Skill templates. Help create and optimize Claude Code Skills in accordance with Testany's specifications.
PM Agent Team - Automated product discovery, strategy, and PRD generation. Runs 4 specialized PM agents in parallel to produce a comprehensive PRD before PDCA Plan phase. Integrates pm-skills frameworks (MIT). Use proactively when user wants product analysis before development, needs a PRD, or asks for PM-level planning. Triggers: /pdca pm, pm analysis, product discovery, PRD, pm team, PM 분석, 제품 기획, 제품 발견, PM팀, PRD 작성, PM分析, プロダクト分析, 产品分析, 产品发现, análisis PM, descubrimiento de producto, analyse PM, découverte produit, PM-Analyse, Produktentdeckung, analisi PM, scoperta prodotto Do NOT use for: implementation, code review, existing PDCA phases (plan/design/do/check).
Recover actionable context from local `.claude` session artifacts and continue interrupted work without running `claude --resume`. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect `.claude` files before resuming implementation.
End-to-end cryptocurrency trading copilot for Gate Exchange. Use this skill whenever the user wants one skill to complete market judgment, risk control, and execution for a cryptocurrency trade on Gate Exchange. Trigger phrases include "analyze before placing an order", "analyze before buying", "check risk before trading", or any request involving cryptocurrency trade judgment, order drafting, spot or futures execution, or post-trade management on Gate Exchange.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle".
Generates Chinese script content based on narrative pacing and dialogue mechanisms common in Jiang Wen films. Use when the user asks to generate script, write script, create scenes, output dialogue draft, revise script or similar. Outputs story synopsis, character bios, scene outlines, scene scripts (with dialogue, action, staging), and can adjust era, character relations, conflict pacing, and endings per user request.