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All Skills

Total 50,540 skills, AI & Machine Learning has 8483 skills

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Showing 12 of 8483 skills

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AI & Machine Learningproyecto26/sherlock-ai-pl...

paper2code

Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".

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12
AI & Machine Learninggate/gate-skills

gate-info-coincompare

Coin comparison. Use this skill whenever the user asks to compare two or more coins. Trigger phrases include: compare, versus, vs, which is better, difference. MCP tools: info_marketsnapshot_get_market_snapshot, info_coin_get_coin_info per coin (or batch/search when available).

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12
AI & Machine Learningyugasun/skills

ai-news-collector

Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators. Use this skill when the user asks for "today's AI news", "AI industry updates", "what's trending in AI", or wants a daily digest of AI developments.

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12
AI & Machine Learningaotenjou/silicon-paddleoc...

silicon-paddle-ocr

OCR skill using PaddleOCR model via SiliconFlow API. This skill should be used when the user asks to "recognize text from an image", "extract text from a photo", "OCR this image", "read text from screenshot", or mentions "PaddleOCR", "image text recognition", "text extraction from images".

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12
2 scripts/Checked
AI & Machine Learningrobertguss/claude-skills

code-documenter

Expert documentation generator for coding projects. Analyzes codebases to create thorough, comprehensive documentation for developers and users. Supports incremental updates, multi-audience documentation, architecture decision records, and documentation health tracking. Works with any project type (APIs, CLIs, web apps, libraries). Use when you need to document a new project, update docs after adding features, or create comprehensive documentation for open source releases.

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12
AI & Machine Learningeveryinc/compound-enginee...

heal-skill

Fix incorrect SKILL.md files when a skill has wrong instructions or outdated API references

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12
AI & Machine Learningsoul-brews-studio/oracle-...

philosophy

Display Oracle philosophy principles and guidance. Use when user asks about principles, "nothing deleted", Oracle philosophy, or needs alignment check.

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12
AI & Machine Learninganswerzhao/agent-skills

image-generation

Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.

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12
1 scripts/Checked
AI & Machine Learningsolpbc/vit

using-vit

Helps coding agents use vit to discover, follow, skim, and ship software capabilities (caps) over ATProto. Activates when the user mentions vit, beacons, caps, shipping, skimming, following, vetting, or social coding.

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12
AI & Machine Learningjeremylongshore/claude-co...

wandb-experiment-logger

Wandb Experiment Logger - Auto-activating skill for ML Training. Triggers on: wandb experiment logger, wandb experiment logger Part of the ML Training skill category.

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12
AI & Machine Learningletta-ai/skills

pytorch-model-cli

Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTorch models to standalone executables, extracting model weights to portable formats (JSON), implementing neural network forward passes in C/C++, or creating CLI tools that load images and run inference without Python dependencies.

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12
AI & Machine Learningproflead/codex-skills-lib...

prompt-optimization

Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.

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