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tools llm ai AI Skills

Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.

Categories: tools llm ai

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GitHub

executing-comprehensive-reviews

jayminwest

Use when reviewing content for clarity, generating questions, or checking alignment. Triggers on "review for clarity", "suggest questions", "check alignment", "comprehensive review".

GitHub

art-style

DV0x

Creates visual prompts from hooks. Expects hook-bank to exist. Outputs prompts.json for MCP image generation.

GitHub

image-generation

QwenLM

Image generation skill based on Alibaba Cloud DashScope, supporting the creation of high-quality hand-drawn or standard images from user descriptions.

GitHub

project-memory

TheBushidoCollective

Use when setting up or organizing Claude Code project memory (CLAUDE.md, .claude/rules/) for better context awareness, consistent behavior, and project-specific instructions.

GitHub

claude-agent-sdk-agent-creation

TheBushidoCollective

Use when creating or configuring Claude AI agents using the Agent SDK. Covers agent initialization, configuration, and basic setup patterns.

GitHub

code-annotation-patterns

TheBushidoCollective

Use when annotating code with structured metadata, tags, and markers for AI-assisted development workflows. Covers annotation formats, semantic tags, and integration with development tools.

GitHub

notetaker-fundamentals

TheBushidoCollective

Use when leaving structured notes, comments, and annotations in code. Covers AI note-taking patterns, TODO formats, context preservation, and development breadcrumbs for future AI assistants and human developer...

GitHub

hcom

aannoo

multi-agent communication and coordination for Claude Code, Gemini CLI & Codex. Use this skill when the human user needs help, status, or reference about hcom - when user asks questions like "how to setup hcom"...

GitHub

discover-formal

rand

Automatically discover formal methods and verification skills when working with formal methods. Activates for formal development tasks.

GitHub

discover-plt

rand

Automatically discover programming language theory skills when working with compilers. Activates for plt development tasks.

GitHub

discover-networking

rand

Automatically discover networking and connectivity skills when working with networking. Activates for networking development tasks.

GitHub

anti-slop

rand

Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing gene...

GitHub

discover-ml

rand

Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.

GitHub

discover-realtime

rand

Automatically discover realtime communication skills when working with realtime. Activates for realtime development tasks.

GitHub

discover-database

rand

Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for d...

GitHub

discover-engineering

rand

Automatically discover software engineering practice skills when working with engineering practices. Activates for engineering development tasks.

GitHub

discover-cloud

rand

Automatically discover cloud computing and serverless skills when working with cloud. Activates for cloud development tasks.

GitHub

discover-observability

rand

Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.

GitHub

elegant-design

rand

Create world-class, accessible, responsive interfaces with sophisticated interactive elements including chat, terminals, code display, and streaming content. Use when building user interfaces that need professi...

GitHub

discover-math

rand

Automatically discover mathematics and algorithm skills when working with mathematics. Activates for math development tasks.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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