automate-github-issues

Configurer le triage et la résolution automatisés des issues GitHub à l'aide d'agents de codage Jules parallèles

npx skills add https://github.com/google-labs-code/jules-skills --skill automate-github-issues

Automate GitHub Issues with Jules

You are setting up a repository to automatically analyze open GitHub issues, plan implementation tasks, and dispatch parallel Jules coding agents to fix them.

What You're Setting Up

A 5-phase automated pipeline that runs via GitHub Actions (or locally):

  1. Analyze — Fetch open issues and format as structured markdown
  2. Plan — A Jules session performs deep code-level triage and produces self-contained task prompts
  3. Validate — Verify no two tasks modify the same file (prevents merge conflicts)
  4. Dispatch — Spawn parallel Jules sessions, one per task
  5. Merge — Sequential PR merge with CI validation

Setup Steps

Step 1: Copy fleet scripts to the repository

Copy the entire scripts/ directory from this skill into the target repository at scripts/fleet/:

Target structure:
scripts/fleet/
├── fleet-analyze.ts
├── fleet-plan.ts
├── fleet-dispatch.ts
├── fleet-merge.ts
├── types.ts
├── prompts/
│   ├── analyze-issues.ts
│   └── bootstrap.ts
└── github/
    ├── git.ts
    ├── issues.ts
    ├── markdown.ts
    └── cache-plugin.ts

Important: Preserve the directory structure exactly. The scripts use relative imports between files.

Step 2: Copy workflow templates

Copy the workflow files from assets/ to the repository's .github/workflows/ directory:

  • assets/fleet-dispatch.yml.github/workflows/fleet-dispatch.yml
  • assets/fleet-merge.yml.github/workflows/fleet-merge.yml

Step 3: Create a package.json for the fleet scripts

Create scripts/fleet/package.json with the required dependencies:

{
  "name": "fleet-scripts",
  "private": true,
  "type": "module",
  "dependencies": {
    "@google/jules-sdk": "^0.1.0",
    "octokit": "^4.1.0",
    "find-up": "^7.0.0"
  },
  "devDependencies": {
    "@types/bun": "^1.2.0"
  }
}

Step 4: Create environment template

Copy assets/.env.example to the repository root.

Step 5: Install dependencies

cd scripts/fleet && bun install

Step 6: Print next steps for the user

Tell the user they need to:

  1. Add JULES_API_KEY as a GitHub repository secret (Settings → Secrets → Actions)
  2. GITHUB_TOKEN is provided automatically by GitHub Actions
  3. Customize the cron schedule in .github/workflows/fleet-dispatch.yml (default: daily 6am UTC)
  4. Commit all generated files

Manual Usage

After setup, the user can run the pipeline locally:

cd scripts/fleet

# Fetch open issues
bun fleet-analyze.ts

# Plan tasks (creates a Jules planning session)
JULES_API_KEY=<key> bun fleet-plan.ts

# Dispatch parallel agents
JULES_API_KEY=<key> bun fleet-dispatch.ts

# Merge PRs sequentially
GITHUB_TOKEN=<token> bun fleet-merge.ts

Customization

Prompt Tuning

The analysis prompt in scripts/fleet/prompts/analyze-issues.ts controls how deeply issues are investigated. Users can adjust:

  • Root cause analysis depth
  • Solution implementation detail level
  • Merge conflict avoidance rules
  • File ownership constraints

Issue Filtering

Edit scripts/fleet/github/issues.ts to filter issues by label, milestone, or state.

Resource References

Troubleshooting

  • "Unable to parse git remote URL": Ensure the repo has a valid GitHub remote (git remote get-url origin)
  • Ownership conflict errors: Two tasks claim the same file. Adjust the task JSON or merge them manually.
  • CI timeout during merge: Increase maxWaitMs in fleet-merge.ts (default: 10 minutes)
  • Bun not found: Install Bun: curl -fsSL https://bun.sh/install | bash

Plus de skills de google-labs-code

agent-dx-cli-scale
google-labs-code
Une échelle de notation pour évaluer dans quelle mesure une CLI est conçue pour les agents IA, basée sur les principes de « Rewrite Your CLI for AI Agents ».
official
ink
google-labs-code
Moteur de rendu terminal Ink pour json-render qui transforme des spécifications JSON en interfaces utilisateur terminal interactives. À utiliser lorsque vous travaillez avec @json-render/ink, construisez des interfaces utilisateur terminal à partir de…
official
tdd-red-green-refactor
google-labs-code
Cette compétence implémente un cadre structurel pour la programmation assistée par IA afin de garantir que chaque ligne de code soit vérifiable, typée et utile.
official
typed-service-contracts
google-labs-code
Norme d'architecture pour construire des services TypeScript robustes et type-safe utilisant le modèle "Spec and Handler". À utiliser lors de la création de CLI, bibliothèques ou systèmes complexes…
official
local-action-verification
google-labs-code
Configurer un dépôt pour la vérification locale des GitHub Actions à l'aide de act, afin que Jules puisse valider le CI avant de pousser
official
github-codebase-briefing
google-labs-code
Cette compétence effectue une "lecture approfondie" d'un dépôt. Elle évite les listes superficielles en comprenant d'abord l'architecture du projet, puis en évaluant les éléments ouverts dans ce contexte.
official
stitch-sdk-bug-bash
google-labs-code
Trouver des bugs dans le SDK Stitch en utilisant une clé API réelle. Couvre les cas fonctionnels standards et les situations délicates.
official
stitch-sdk-development
google-labs-code
Développer le SDK Stitch. Couvre le pipeline de génération, la double modalité (agent vs SDK), la gestion des erreurs et l'implémentation du Feu de signalisation (Rouge-Vert-Jaune)...
official