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All Skills

Total 50,865 skills, AI & Machine Learning has 8519 skills

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Showing 12 of 8519 skills

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AI & Machine Learningcinience/alicloud-skills

alicloud-ai-pai-aiworkspace

Manage Alibaba Cloud Platform for Artificial Intelligence PAI - AIWorkspace (AIWorkSpace) via OpenAPI/SDK. Use for listing resources, creating or updating configurations, querying status, and troubleshooting workflows for this product.

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13
1 scripts/Checked
AI & Machine Learningomer-metin/skills-for-ant...

art-consistency

World-class character and art style consistency for AI-generated images and videos - ensures visual coherence across series, maintains character identity, and provides rigorous QA before deliveryUse when "character consistency, art style, same character, consistent character, visual continuity, series, turnaround sheet, character sheet, reference image, character bible, style guide, anime character, consistent look, face consistency, outfit consistency, lora training, ip-adapter, flux kontext, visual qa, art quality, generation review, style drift, character drift, character-consistency, art-style, visual-qa, ai-art, image-generation, video-generation, anime, illustration, lora, ip-adapter, flux, midjourney, stable-diffusion" mentioned.

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13
AI & Machine Learningrsmdt/the-startup

implement

Executes the implementation plan from a specification. Loops through plan phases, delegates tasks to specialists, updates phase status on completion. Supports resuming from partially-completed plans.

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13
AI & Machine Learningvapiai/skills

create-phone-number

Set up and manage phone numbers in Vapi for inbound and outbound voice AI calls. Use when importing Twilio, Vonage, or Telnyx numbers, buying Vapi numbers, or configuring phone numbers for assistants.

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13
AI & Machine Learningcatlog22/claude-code-work...

wave-plan-pipeline

Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.

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13
AI & Machine Learningsenpi-ai/senpi-skills

senpi-onboard

Onboards an AI agent into the Senpi trading platform by creating an account, generating an API key, and configuring the Senpi MCP server connection. Supports wallet, Telegram, or agent-generated wallet identity. Use when the user says "set up Senpi", "onboard to Senpi", "connect to Senpi", "install Senpi", "register with Senpi", or when the agent needs to self-register with Senpi for autonomous trading. Do NOT use for trading operations, strategy management, or market queries -- those require the Senpi MCP server to already be connected.

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13
1 scripts/Checked
AI & Machine Learningfanzhidongyzby/openclaw-s...

serper-search

Use Google Serper Search API for web search. Activate this tool when the user says terms like "search", "look up", "find", "research", "investigate", "learn about", "inquire", or "retrieve".

🇨🇳|ChineseTranslated
13
AI & Machine Learningpchalasani/claude-code-to...

voice-update

This skill should be used when the agent needs to give a spoken voice update to the user, or when reminded by a Stop hook to provide audio feedback. Use this skill to speak a short summary of what was accomplished.

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13
AI & Machine Learningpeopleforrester/claude-do...

iterative-retrieval

Progressive context refinement pattern for subagents. Solves the problem of agents not knowing what context they need until they start working. Uses a 4-phase loop: DISPATCH, EVALUATE, REFINE, LOOP.

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13
AI & Machine Learningsamhvw8/dot-claude

prompt-enhancer

Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.

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13
AI & Machine Learningrshankras/claude-code-app...

shared

Platform-agnostic skills including skill creation templates and best practices. Use when creating new skills or improving existing ones.

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13
AI & Machine Learningsickn33/antigravity-aweso...

hierarchical-agent-memory

Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.

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