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All Skills

Total 50,615 skills, AI & Machine Learning has 8484 skills

Categories

Showing 12 of 8484 skills

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AI & Machine Learningfrankxai/frankx.ai-vercel...

suno-prompt-architect

Expert Suno AI prompt engineering for cinematic, transformative music creation. Use this skill when creating Suno prompts for Vibe OS sessions, meditation tracks, or any AI-generated music that needs professional quality and emotional resonance.

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7
AI & Machine Learningdotneet/claude-code-marke...

call-claude

Call claude to perform a task.

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7
AI & Machine Learningcluesmith/codev

generate-image

AI image generation CLI using Gemini. Use when generating images, checking syntax for resolution, aspect ratio, and reference image options.

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7
AI & Machine Learningethansei/skills

template-skill

Replace with a description of what this skill does and when Claude should use it. Include keywords that help agents discover and activate this skill.

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7
AI & Machine Learningjoelhooks/joelclaw

loop-nanny

Monitor running agent loops, triage failures, clean up after completion, and decide when to intervene. Use when a loop is running and needs babysitting, when a loop just finished and needs post-merge verification, when stories are skipping/failing and need diagnosis, or when stale test artifacts need cleanup. Triggers on: 'check the loop', 'what happened with the loop', 'loop finished', 'clean up after loop', 'why did that story skip', 'monitor loop', 'nanny the loop', or any post-start loop management task. Distinct from agent-loop skill (which handles starting loops).

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7
AI & Machine Learningtwillai/skills

twill-cloud-coding-agent

Use Twill Cloud Coding Agent to manage Twill's public v1 API workflows. Create/list/update tasks, stream and cancel jobs, manage scheduled tasks, list repositories, and export Claude teleport sessions.

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7
AI & Machine Learningadaptationio/skrillz

gemini-3-advanced

Advanced Gemini 3 Pro features including function calling, built-in tools (Google Search, Code Execution, File Search, URL Context), structured outputs, thought signatures, context caching, batch processing, and framework integration. Use when implementing tools, function calling, structured JSON output, context caching, batch API, LangChain, Vercel AI, or production features.

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7
5 scripts/Checked
AI & Machine Learningaaaaqwq/claude-code-skill...

skillforge

Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.

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7
6 scripts/Checked
AI & Machine Learningneolabhq/context-engineer...

customaize-agent:test-prompt

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

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7
AI & Machine Learningathola/claude-night-marke...

risk-classification

Inline risk classification for agent tasks using a 4-tier model. Hybrid routing: GREEN/YELLOW use heuristic file-pattern matching, RED/CRITICAL escalate to war-room-checkpoint for full reversibility scoring.

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7
AI & Machine Learningrfxlamia/claude-skillkit

screenwriter

Transform creative ideas into professional, production-ready screenplays optimized for AI video generation pipelines. Converts raw concepts into structured scene-by-scene narratives with rich visual descriptions, proper screenplay formatting, and XML-tagged output for seamless integration with image/video generation tools (imagine, arch-v). USE WHEN: Converting story ideas into screenplay format, preparing content for AI video pipelines, structuring narratives for 5-10 minute short films, generating visual-rich scene descriptions for image generation. WORKFLOW: Raw idea → Scene breakdown → Visual enhancement → Professional formatting → XML-tagged markdown output OUTPUT: Markdown document with XML-wrapped scenes, rich visual descriptions, proper screenplay elements (sluglines, action, dialogue), and metadata for pipeline processing.

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7
AI & Machine Learningzixun-github/aisdlc

project-discover

Used when you need to perform Discover (reverse engineering) on legacy projects with existing code, consolidate repository facts into `.aisdlc/project/`, and you find that AI or teams frequently guess entry points and boundaries, have duplicate writing of indexes and details, or lack evidence chains leading to repeated rework.

🇨🇳|ChineseTranslated
7
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