multi-ai
Start the multi-AI pipeline with a given request. Cleans up old task files and guides through plan → review → implement → review workflow.
发现 documentation llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Start the multi-AI pipeline with a given request. Cleans up old task files and guides through plan → review → implement → review workflow.
Implement code using sonnet model with full main context access
Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.
Dagster+ Cloud Onboarding Skill This skill automates the setup of Dagster+ Cloud projects, including
Personal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user r...
Native Fabric pattern execution for Claude Code. USE WHEN processing content with Fabric patterns (extract_wisdom, summarize, analyze_claims, threat modeling, etc.). Patterns run natively in Claude's context -...
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
Guide for creating new skills in @assistantName@'s personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or...
Create effective OpenCode agent skills. Use this skill when writing SKILL.md files, designing skill instructions, or helping others author skills for their projects or global config.
Use for implementing meal planner, pantry, shopping lists, recipes, profile, or scanner flows and their service contracts.
Chat component selection and creation for Clue symptom tracker. Use when building chat UI elements, selecting widgets for agent responses, or implementing interactive components. Covers 30 high-value onboarding...
Unified brand identity for Clue Symptom Tracker. Combines visual design (Podia-inspired warmth) with voice/tone (Compassionate Analyst). Use when ensuring brand consistency across UI, copy, marketing, or any us...
Defines the three-layer architecture for the "Agentic Framework" - a meta-layer that surrounds an Application Layer with a Skills Layer in between, providing production-grade controls for AI agents. Use this sk...
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 the agent's capabilities with specialized knowledge, workflows, or...
Use this skill for requests related to LangGraph; fetch relevant documentation first to provide accurate, up-to-date guidance.
This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific fram...
Run headless AgRAG prompts in a shared thread and produce an LLM-as-judge evaluation report. Use for evaluating retrieval quality, grounding, graph paths, and tool usage of the agrag agent in headless mode, esp...
Clasifica automáticamente tasks en dominios/categorías para routing inteligente a skills y subagentes apropiados.
Analiza Task Briefs y Phase Briefs para proveer insights, comparaciones y recomendaciones de mejora iterativa.
Generador inteligente de Task Briefs y Phase Briefs optimizados con semantic understanding y consistency checking.
Meta-skill que orquesta todos los skills de prompt engineering y routing. Auto-selección y coordinación de skills basada en domain classification.
Puente para usar el Prompt Generator (skillsmp) para generar prompts largos/consistentes para tareas E2E.
JusticeHub brand alignment and design system. Use for page creation, design review, component patterns, accessibility, and copy writing.
Comprehensive system for managing llms.txt and my-blog.json files across the project. Handles creation, updating, and synchronization of AI-readable content catalogs. Automatically detects when working with llm...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。