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All Skills

Total 50,678 skills, AI & Machine Learning has 8495 skills

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Showing 12 of 8495 skills

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AI & Machine Learningovachiever/droid-tings

thesys-generative-ui

Integrate TheSys C1 Generative UI API to stream interactive React components (forms, charts, tables) from LLM responses. Supports Vite+React, Next.js, and Cloudflare Workers with OpenAI, Anthropic Claude, and Workers AI. Use when building conversational UIs, AI assistants with rich interactions, or troubleshooting empty responses, theme application failures, streaming issues, or tool calling errors.

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10 scripts/Attention
AI & Machine Learningbilalmk/todo_correct

building-chat-interfaces

Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.

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11
1 scripts/Checked
AI & Machine Learningmarxbiotech/pr-review-too...

gemini-review-integrator

This skill should be used when the user asks to "integrate Gemini review", "merge Gemini suggestions", "add Gemini comments to PR review", "sync Gemini code assist", "combine Gemini feedback", or mentions integrating gemini-code-assist suggestions into the PR review comment. Fetches Gemini Code Assist review comments and integrates non-duplicate, non-outdated suggestions into the pr-review-and-document PR comment.

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11
AI & Machine Learningmaragudk/evals-skills

llm-as-a-judge

Build, validate, and deploy LLM-as-Judge evaluators for automated quality assessment of LLM pipeline outputs. Use this skill whenever the user wants to: create an automated evaluator for subjective or nuanced failure modes, write a judge prompt for Pass/Fail assessment, split labeled data for judge development, measure judge alignment (TPR/TNR), estimate true success rates with bias correction, or set up CI evaluation pipelines. Also trigger when the user mentions "judge prompt", "automated eval", "LLM evaluator", "grading prompt", "alignment metrics", "true positive rate", or wants to move from manual trace review to automated evaluation. This skill covers the full lifecycle: prompt design → data splitting → iterative refinement → success rate estimation.

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11
AI & Machine Learningmaragudk/skills

journal

Guide for using the AI's persistent journal database

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11
AI & Machine Learningexistential-birds/beagle

review-ai-writing

Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text artifact for authenticity and clarity.

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11
AI & Machine Learningjezweb/claude-skills

claude-agent-sdk

Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.

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10 scripts/Attention
AI & Machine Learningjezweb/claude-skills

google-gemini-embeddings

Build RAG systems and semantic search with Gemini embeddings (gemini-embedding-001). 768-3072 dimension vectors, 8 task types, Cloudflare Vectorize integration. Prevents 13 documented errors. Use when: vector search, RAG systems, semantic search, document clustering. Troubleshoot: dimension mismatch, normalization required, batch ordering bug, memory limits, wrong task type, rate limits (100 RPM).

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7 scripts/Attention
AI & Machine Learningsickn33/antigravity-aweso...

cc-skill-strategic-compact

Development skill from everything-claude-code

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1 scripts/Attention
AI & Machine Learningdavila7/claude-code-templ...

model-pruning

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

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11
AI & Machine Learningdavila7/claude-code-templ...

moe-training

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

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11
AI & Machine Learningrefoundai/lenny-skills

vibe-coding

Help users build software using AI coding tools. Use when someone is using AI to generate code, building prototypes without deep technical skills, or exploring how non-engineers can create functional software through natural language.

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