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devops llm ai AI Skills

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GitHub

aeo-optimization

alinaqi

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

GitHub

skill-creator

joelhooks

Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discove...

GitHub

always-on-guidance

joelhooks

Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults (GPT-5.2-code vs Opus 4.5) while avoiding deprecated bd/cass references.

GitHub

swarm-coordination

joelhooks

Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...

GitHub

swarm-coordination

joelhooks

Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...

GitHub

skill-creator

joelhooks

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

agentic-jujutsu

ruvnet

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

GitHub

parallel-task

am-will

Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.

GitHub

using-superpowers

Trevoke

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

GitHub

planner

am-will

Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan",...

GitHub

llm-council

am-will

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge in...

GitHub

add-model

giselles-ai

Add a new language model to the Giselle codebase. Use when the user wants to add, register, or integrate a new LLM model (OpenAI, Anthropic, Google) into the system.

GitHub

axiom-using-axiom

CharlesWiltgen

Use when starting any iOS/Swift conversation - establishes how to find and use Axiom skills, requiring Skill tool invocation before ANY response including clarifying questions

GitHub

coreml

CharlesWiltgen

Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models,...

GitHub

axiom-foundation-models-ref

CharlesWiltgen

Reference — Complete Foundation Models framework guide covering LanguageModelSession, @Generable, @Guide, Tool protocol, streaming, dynamic schemas, built-in use cases, and all WWDC 2025 code examples

GitHub

axiom-ios-ml

CharlesWiltgen

Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/pale...

GitHub

axiom-getting-started

CharlesWiltgen

Use when first installing Axiom, unsure which skill to use, want an overview of available skills, or need help finding the right skill for your situation — interactive onboarding that recommends skills based on...

GitHub

axiom-ios-ai

CharlesWiltgen

Use when implementing ANY Apple Intelligence or on-device AI feature. Covers Foundation Models, @Generable, LanguageModelSession, structured output, Tool protocol, iOS 26 AI integration.

GitHub

coreml-ref

CharlesWiltgen

CoreML API reference - MLModel lifecycle, MLTensor operations, coremltools conversion, compression APIs, state management, compute device availability, performance profiling.

GitHub

axiom-foundation-models

CharlesWiltgen

Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macO...

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