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Analyseur de Workflows CircleCI

Analyse et optimise les workflows CircleCI à l'aide de l'API v2 de CircleCI. Identifie les goulots d'étranglement dans les graphes de dépendances des jobs, suggère des améliorations de parallélisme et surveille la consommation de crédits des pipelines.

Qu'est-ce que Analyseur de Workflows CircleCI ?

Cet outil permet d'analyser en profondeur les workflows CircleCI en exploitant l'API v2 de CircleCI. Il est conçu pour les développeurs et les équipes DevOps qui cherchent à optimiser leurs pipelines CI/CD. Sa fonction principale est d'identifier les goulots d'étranglement dans les graphes de dépendances des jobs, de suggérer des améliorations de parallélisme pour accélérer l'exécution, et de surveiller la consommation de crédits des pipelines pour maîtriser les coûts. Compatible avec les environnements de développement standard, il s'installe via un dépôt Git et des commandes npm, offrant une interface en ligne de commande pour interagir avec l'API CircleCI. L'outil est particulièrement utile pour les projets complexes où les workflows deviennent lents ou coûteux, permettant des optimisations ciblées basées sur des données réelles.

Compatible avec✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/circleci-workflow-analyzer
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Documentation

Que fait Analyseur de Workflows CircleCI ?

Analyse et optimise les workflows CircleCI à l'aide de l'API v2 de CircleCI. Identifie les goulots d'étranglement dans les graphes de dépendances des jobs, suggère des améliorations de parallélisme et surveille la consommation de crédits des pipelines.

Installation

Utilisez le chemin d'installation en amont ou de configuration qui correspond à votre environnement :

Notes de base sur l'utilisation ou la prise en main :

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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