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Skills IA devops llm ai

Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops llm ai

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GitHub

prompt-improvement

melodic-software

Meta-skill for improving and optimizing prompts using Anthropic's prompt engineering best practices. Provides the 4-step improvement workflow (example identification, initial draft, chain of thought refinement,...

GitHub

resume-optimization

melodic-software

Resume structure, achievement bullet formulas, ATS optimization, and job-targeted tailoring for software engineers. Use when reviewing resumes, crafting achievement bullets, extracting keywords from job descrip...

GitHub

cursor-docs

melodic-software

Single source of truth and librarian for ALL Cursor documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Cursor documentat...

GitHub

document-extraction

melodic-software

Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical fo...

GitHub

template-engineering

melodic-software

Guide creation of meta-prompt templates that encode engineering workflows into reusable, scalable units. Use when creating slash commands that generate plans, designing workflow templates, or encoding team best...

GitHub

ai-writing-assistant

melodic-software

Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice preservation techniques, and quality checkpoints for AI-augmented drafting.

GitHub

diagram-patterns

melodic-software

Decision guidance for selecting the right diagram type and tool. Provides patterns for common visualization scenarios, tool comparison, and best practices.

GitHub

plan-generation

melodic-software

Assist in generating comprehensive plans from templates using extended thinking. Use when generating plans from meta-prompt templates, reviewing plan quality, or ensuring plans meet team standards.

GitHub

memory-management

melodic-software

Meta-skill for Claude Code memory system (CLAUDE.md, static memory). Provides stable principles, keyword registry for documentation lookups, and navigation guidance. Use when working with CLAUDE.md files, memor...

GitHub

gemini-sandbox-configuration

melodic-software

Central authority for Gemini CLI sandboxing and isolation. Covers Docker, Podman, macOS Seatbelt profiles, and security boundaries. Use when enabling sandboxing, choosing sandbox methods, configuring Seatbelt p...

GitHub

subagent-development

melodic-software

Central authority for Claude Code subagents (sub-agents). Covers agent file format, YAML frontmatter, tool access configuration, model selection (inherit, sonnet, haiku, opus), automatic delegation, agent lifec...

GitHub

gemini-context-bridge

melodic-software

Facilitates context sharing and strategic delegation between Claude Code and Gemini CLI. Syncs CLAUDE.md to GEMINI.md and provides agent selection guidance. Use when onboarding Gemini to a project, syncing inst...

GitHub

gemini-mcp-integration

melodic-software

Expert guide for Model Context Protocol (MCP) integration with Gemini CLI. Covers MCP server configuration (HTTP, SSE, Stdio), connection management, and tool permissions. Use when adding MCP servers to Gemini,...

GitHub

gemini-cli-docs

melodic-software

Single source of truth and librarian for ALL Gemini CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Gemini CLI do...

GitHub

closed-loop-design

melodic-software

Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verific...

GitHub

gateway-script-design

melodic-software

Design gateway scripts as entry points for agentic coding. Use when creating CLI entry points for agents, designing subprocess-based agent invocation, or building script interfaces for agentic workflows.

GitHub

llm-serving-patterns

melodic-software

LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies, and streaming response patterns. Use when designing LLM serving infrastructure, optimizi...

GitHub

skill-development

melodic-software

Comprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills. Provides skill templates, creation workflows, validation patterns, audit checklists, naming convention...

GitHub

model-selection

melodic-software

Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.

GitHub

gemini-delegation-patterns

melodic-software

Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.

GitHub

gemini-config-management

melodic-software

Expert guide for configuring Google Gemini CLI. Covers global vs project settings.json, Trusted Folders, Policy Engine, and environment variables. Use when configuring Gemini settings, managing trusted folders,...

GitHub

prompt-level-selection

melodic-software

Guide selection of appropriate prompt level for a task. Use when choosing between simple prompts and complex workflows, applying the seven levels framework, or matching task complexity to prompt investment.

GitHub

piter-setup

melodic-software

Set up PITER framework elements for AFK agent systems. Use when configuring prompt input sources, triggers, environments, and review processes for autonomous agent workflows.

GitHub

mcp-integration

melodic-software

Central authority for Claude Code Model Context Protocol (MCP) integration. Covers MCP server installation (HTTP, SSE, stdio transports), server management (add, list, remove), installation scopes (local, proje...

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.

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