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Skills IA DevOps

Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.

Catégories: DevOps

73,081–73,104 sur 83,066

Explorer

GitHub

nextjs

azlekov

This skill should be used when the user asks to "create a Next.js app", "build a page", "add routing", "implement server components", "add caching", "create API routes", "use server actions", "add metadata", "s...

GitHub

supabase-expert

azlekov

This skill should be used when the user asks to "create a Supabase table", "write RLS policies", "set up Supabase Auth", "create Edge Functions", "configure Storage buckets", "use Supabase with Next.js", "migra...

GitHub

pr-ci-sonar-closure

chaspy

PR を人間に引き渡す直前に CI 完了監視→失敗解析→get-sonar-feedback→/pr-review レポート→最終報告までを一気通貫で実行するフロー。

GitHub

backlog-moderator

pcortes

Business moderator for backlog prioritization debates. Synthesizes Champion and Critic views into final rankings. Optimizes for team productivity and sustainable velocity.

GitHub

issue-creator

pcortes

Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.

GitHub

qa-orchestrator

pcortes

Coordinates adaptive QA testing across behavioral, contract, and regression dimensions. Routes to specialized sub-agents based on context and depth.

GitHub

complexity-gate

pcortes

Estimate issue complexity before implementation to prevent timeouts. Uses cheap estimation to save expensive implementation tokens.

GitHub

open-source-librarian

pcortes

Research external libraries with evidence-backed responses and GitHub permalinks. Use when investigating library APIs, implementation patterns, or historical context for open source dependencies.

GitHub

coder

pcortes

Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.

GitHub

bug-researcher

pcortes

Reproduce bugs and gather evidence for root cause analysis. Use when investigating a bug report to confirm reproduction and collect detailed information about the failure.

GitHub

root-cause-analyzer

pcortes

Analyze reproduction evidence to identify the root cause of bugs. Use after reproduction to trace execution and find the exact location and reason for the failure.

GitHub

feature-spec-author

pcortes

Draft detailed engineering specs from an approved PRD. Use when generating or updating the engineering specification for a feature, before implementation begins.

GitHub

issue-creator

pcortes

Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.

GitHub

fix-planner

pcortes

Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.

GitHub

feature-recovery

pcortes

Analyze implementation failures and generate recovery plans. Use when an issue fails and needs diagnosis for retry or escalation.

GitHub

coder

pcortes

Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.

GitHub

feature-spec-moderator

pcortes

Apply critic feedback to improve an engineering spec. Use when revising a spec based on review comments to address issues and improve quality scores.

GitHub

feature-verifier

pcortes

Analyze test failures and suggest fixes for Feature Swarm verification. Use when tests fail during the verification phase to diagnose root cause and determine if automatic recovery is possible.

GitHub

feature-spec-author

pcortes

Draft detailed engineering specs from an approved PRD. Use when generating or updating the engineering specification for a feature, before implementation begins.

GitHub

root-cause-analyzer

pcortes

Analyze reproduction evidence to identify the root cause of bugs. Use after reproduction to trace execution and find the exact location and reason for the failure.

GitHub

backlog-critic

pcortes

Engineering critic for backlog prioritization debates. Challenges proposed rankings with feasibility concerns, hidden complexity, and realistic effort estimates.

GitHub

code-quality-analyst

pcortes

Analyzes code changes for quality issues, code smells, SOLID violations, LLM-generated code problems, and refactoring opportunities. Reports findings with severity, evidence, and suggested fixes.

GitHub

fix-planner

pcortes

Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.

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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