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All Skills

Total 54,386 skills, AI & Machine Learning has 9050 skills

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Showing 12 of 9050 skills

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AI & Machine Learningleonvanzyl/agentic-coding...

create-agentic-app

Scaffold and fully configure a new Agentic Coding Starter Kit project — a Next.js 16 + TypeScript + Better Auth + Drizzle + PostgreSQL + AI SDK boilerplate. Use this skill whenever the user asks to set up, scaffold, create, initialize, or bootstrap an "agentic coding starter kit", "agentic app", "agentic boilerplate", a "Next.js app with auth and db", or mentions `create-agentic-app` / `npx create-agentic-app`. Walks the user through folder strategy, package-manager choice, Postgres setup (Docker / Neon / Vercel / BYO), OpenRouter AI configuration, migrations, a build check, and dev-server verification — ending with a working http://localhost:3000.

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5
AI & Machine Learningpostplusai/postplus-skill...

audio-generation

Control audio generation requests before execution. Use this when the user asks for TTS, persona voice, voice change, translated dub, cloned voice take, podcast audio, or lip-sync audio handoff and the skill must classify the request before handing execution to voice-batch-runner or a video workflow.

🇺🇸|EnglishTranslated
5
AI & Machine Learningcoroboros/agent-skills

oneshot

Single-pass feature implementation using Explore → Code → Test. Ships focused changes at maximum speed, with a built-in circuit breaker that stops and recommends `/apex` or `/forge` when the task turns out more complex than it looked. Use this whenever the user wants a quick win on a single, focused task — even when they don't say "oneshot" (e.g. "just", "quickly", "small change", "#42", or a GitHub issue URL for a small fix).

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5
AI & Machine Learningaradotso/mcp-skills

ktx-ai-data-agents-context-layer

Expert in using ktx, the executable context layer for data and analytics agents that enables accurate querying through MCP with skills, memory and a semantic layer

🇺🇸|EnglishTranslated
5
AI & Machine Learningopenrouterteam/skills

openrouter-analytics

Answer natural-language questions about a user's OpenRouter usage data — spend, request volume, model breakdown, latency, token usage, and cost optimization. Use when the user asks about their API usage, billing, costs, top models, traffic patterns, or wants to optimize their OpenRouter spend.

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5
4 scripts/Attention
AI & Machine Learningjyoung105/future-slide

gpt-slide-generate

Generate slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

🇺🇸|EnglishTranslated
5
AI & Machine Learningaradotso/trending-skills

opengame-agentic-game-creation

OpenGame is an open-source agentic framework for end-to-end web game creation from a single text prompt, using LLMs, Game Skill (Template + Debug), and headless browser evaluation.

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5
AI & Machine Learningaradotso/trending-skills

k-skill-korean-ai-tools

AI 에이전트를 위한 한국 서비스 자동화 스킬 모음 — SRT/KTX 예매, KBO, 로또, 카카오톡, 지하철, HWP, 우편번호 등

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5
AI & Machine Learningaradotso/trending-skills

tribev2-brain-encoding

Use TRIBE v2, Meta's multimodal foundation model for predicting fMRI brain responses to video, audio, and text stimuli

🇺🇸|EnglishTranslated
5
AI & Machine Learningpixel-process-ug/superkit...

ralph-status

Use when reporting progress in autonomous loop iterations. Triggers at the end of every autonomous loop iteration, when the autonomous-loop skill completes a BUILD phase, when progress reporting is needed for monitoring or exit evaluation, or when producing machine-parseable RALPH_STATUS blocks with exit signal protocol.

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5
AI & Machine Learningpedronauck/skills

nano-banana-prompting

This skill should be used when crafting prompts for Nano Banana Pro (Gemini image generation). Use when users want help writing image generation prompts, need guidance on prompt structure, or want to optimize their prompts for better results.

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5
AI & Machine Learningaradotso/trending-skills

alayarenderer-generative-world

AI coding agent skill for AlayaRenderer — a generative world rendering framework with inverse rendering (RGB→G-buffers) and game editing (G-buffers+text→stylized video) using fine-tuned video diffusion models.

🇺🇸|EnglishTranslated
5
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