GitHub
assemble-dialogue
Instructions for Stage 3 dialogue assembly, combining requests, traces, and captions into final JSON format
Skills IA DevOps
Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Catégories: DevOps
DevOps Effacer les filtres
Explorer
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observer-sys
Metacognitive Analyzer and Form Selector (Observer).
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skill-maintenance
Use when creating, updating, auditing, or validating Agent Skills. Provides validation scripts and guidance for keeping skills accurate and compliant with the Agent Skills specification.
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skill-converter
スキルを各AI Agent固有のフォーマットに変換する。「スキルを変換」「convert skill」などと言われたときに使用する
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skill-importer
Standardized procedure to import external skills (e.g. from anthropics/skills) into the workspace.
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llm-doc-writer
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instructions, or any documentation consumed by AI assistants.
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humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written.
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agent-skills
Create, use, and manage Agent Skills for Claude. Use when working with Skills, creating custom capabilities, or understanding how Skills extend Claude's functionality. Covers Skill architecture, file structure,...
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growth-hacker
Generate growth strategies and ready-to-publish marketing content for product growth. Use when planning launches, assessing product-market fit, creating marketing content, designing experiments, optimizing acti...
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rlhf-feedback
Autonomous RLHF feedback capture - Claude self-captures mistakes and successes
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snowtower-maintainer
Maintains SnowTower project documentation, README, and Claude configuration. Use when updating documentation, auditing .claude folder contents, syncing README with actual project state, or reviewing agent/patte...
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video-script-generator
Generate short video scripts for oral broadcast from article content. Automatically analyzes content and outputs scripts in one of three template types. Outputs style analysis report, system instruction, and re...
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collaborative-design
実装方針・作業内容の吟味・修正を、ユーザーとAIの会話で行う。ユーザーからの指示があるまでは、勝手にコーディング作業に取りかからない
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create-game-assets
Generate game assets (sprites, UI icons, backgrounds, tilesets) using DALL-E 3 from a YAML specification file. Use when user asks to create game art, generate sprites, or make game graphics.
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qdrant-expert
A specialized guide for managing Qdrant Cloud collections, optimizing vector schemas for RAG, and executing precise semantic search queries in Python.
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research-agent-optimization
Optimize the research agent for rate limit handling, API call efficiency, web search integration fixes, and improved streaming UX with granular progress updates and source attribution.
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creating-skills
Creates new skill YAML definitions in the canonical format. Use when the user wants to create a new skill, command, or workflow for the AI config transpiler.
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character-designer
Design AI characters and personas with structured definitions. Use when creating chatbot personalities, AI assistants, or roleplay characters.
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using-mlflow
Provides MLflow documentation covering Tracking, Projects, Models, and Registry. Use when the user asks about MLflow features, APIs, implementation, or debugging.
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audiobook-ingest
Process audiobooks from the inbox: transcribe to text and organize audio for voice training.
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database-migration
Manage database schema changes with version control. Use when modifying DB schema, adding tables/columns, or setting up new projects. Covers Prisma, Drizzle, and migration best practices.
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schema
PostgreSQL database schema, table structures, relationships, and migration rules. Use this skill when working with SQLAlchemy models, Alembic migrations, or database design.
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summarize
Prepare context for compaction. Run before /compact to ensure critical state survives.
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executing-plans
Execute plan in batches with review checkpoints. Use when partner provides a complete implementation plan to execute with controlled batches and architect review between batches.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.