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Github Actions Expert

Community
roedyrustam
github-actions-expert

GitHub Actions CI/CD workflows, reusable actions, and OIDC auth / Workflow CI/CD GitHub Actions, reusable actions, dan auth OIDC.

Overview

Publisherroedyrustam
Repositoryvibes-plug
Skill namegithub-actions-expert
Stars
117
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by roedyrustam on GitHub. Read the source before you install it.

Installation

Install the Github Actions Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/roedyrustam/vibes-plug/tree/main/skills/github-actions-expert
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/roedyrustam/vibes-plug.git /tmp/vibes-plug
mkdir -p .claude/skills
cp -r /tmp/vibes-plug/skills/github-actions-expert .claude/skills/github-actions-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Actions Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Github Actions Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Github Actions Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GitHub Actions Expert (Enterprise CI/CD Standard 2026)

English | Bahasa Indonesia


English

Orchestration & Integration

  • Upstream & Lifecycle: zero-to-prod-orchestrator (Phase 7 deployment), brainstorming, session-memory-manager.
  • Infrastructure & Cloud Targets: ci-cd-devops-architect (pipeline topology), docker-container-expert (container builds & SBOM), cloud-hosting-expert (edge & cloud deploys).
  • Security & Secret Vaults: zero-trust-secret-vault (OIDC federated auth), anti-slop (pipeline hygiene & strict gate validation).
  • Test Automation & Quality: autonomous-tdd-debugger (test runner execution), e2e-testing-expert (Playwright suites), production-ready-hardener (pre-flight checks).

Description

Enterprise-grade guide for engineering hardened, high-performance Continuous Integration & Continuous Delivery (CI/CD) pipelines on GitHub Actions. Covers deterministic dependency caching (pnpm/bun/uv/cargo), reusable workflows (workflow_call), composite actions (using: 'composite'), dynamic multi-platform matrix builds, OpenID Connect (OIDC) cloud federation for AWS/GCP/Azure with zero long-lived credentials, immutable action pinning by commit SHA, fine-grained GITHUB_TOKEN permissions, concurrency control, artifact attestation, and npm/OCI provenance publishing.

Trigger Conditions

  • Designing, scaffolding, or modernizing .github/workflows/ pipelines.
  • Implementing automated PR verification: linting, type-checking, unit tests, and E2E gates.
  • Setting up reusable workflows (workflow_call) or modular composite actions.
  • Hardening CI/CD security: replacing long-lived tokens with OIDC federation.
  • Pinning third-party GitHub Actions to immutable full commit SHAs.
  • Configuring concurrency groups with cancel-in-progress: true to prevent queue bloat.
  • Generating build provenance and software bills of materials (SBOM).
  • Automating multi-platform release builds, semantic versioning, and package publishing.

What's New in 2026 (Modern GitHub Actions Standard)

1. Security & Governance First
  • Zero Static Credentials: All cloud deployments must use OpenID Connect (OIDC) federated role assumption via permissions: id-token: write.
  • Full SHA Action Pinning: Never use @v4 or @main tags in production workflows. Pin exact 40-character commit SHAs with inline human-readable comments (e.g. actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2).
  • Least-Privilege Token Permissions: Workflows must declare top-level permissions: {} (deny all) and elevate only specific job scopes (contents: read, pull-requests: write, etc.).
  • Software Supply Chain Provenance: Automated SLSA Level 3 attestations using actions/attest-build-provenance.
2. Speed & Determinism
  • Native Dependency Caching: Utilize native package manager caching via setup actions (setup-node with cache: 'pnpm', setup-python with cache: 'uv').
  • Concurrency Cancellation: Cancel redundant runs on rapid git pushes via concurrency: group: ${{ github.workflow }}-${{ github.ref }}, cancel-in-progress: true.
  • Fast-Fail Matrix Strategy: Optimize CI compute cycles with strategy: fail-fast: true during preliminary PR checks and fail-fast: false for release suites.

Core Architecture Patterns

Pattern 1: Production Hardened CI Pipeline (.github/workflows/ci.yml)
yaml
name: CI Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main, develop]

# Enforce least-privilege permissions across the entire workflow
permissions: {}

# Cancel obsolete in-flight runs when new commits arrive
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint-and-typecheck:
    name: Code Quality & Type Check
    runs-on: ubuntu-latest
    timeout-minutes: 10
    permissions:
      contents: read
    steps:
      - name: Checkout Source Code
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          fetch-depth: 1

      - name: Install pnpm Package Manager
        uses: pnpm/action-setup@a3252b78c470c02df07e9d59298aecedc3ccdd6d # v3.0.0
        with:
          version: 9.15.4
          run_install: false

      - name: Setup Node.js Runtime
        uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4.1.0
        with:
          node-version: 22
          cache: 'pnpm'

      - name: Install Dependencies
        run: pnpm install --frozen-lockfile

      - name: Run Linter Audit
        run: pnpm run lint

      - name: Run TypeScript Verification
        run: pnpm run typecheck

  test-matrix:
    name: Test Suite Matrix (Node ${{ matrix.node-version }} on ${{ matrix.os }})
    needs: [lint-and-typecheck]
    runs-on: ${{ matrix.os }}
    timeout-minutes: 15
    permissions:
      contents: read
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]
        node-version: [20, 22, 24]
    steps:
      - name: Checkout Source Code
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

      - name: Install pnpm Package Manager
        uses: pnpm/action-setup@a3252b78c470c02df07e9d59298aecedc3ccdd6d # v3.0.0
        with:
          version: 9.15.4

      - name: Setup Node.js Runtime
        uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4.1.0
        with:
          node-version: ${{ matrix.node-version }}
          cache: 'pnpm'

      - name: Install Dependencies
        run: pnpm install --frozen-lockfile

      - name: Execute Automated Unit & Integration Tests
        run: pnpm test -- --coverage

      - name: Upload Test Coverage Artifacts (Ubuntu Node 22 only)
        if: matrix.os == 'ubuntu-latest' && matrix.node-version == 22
        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882 # v4.4.3
        with:
          name: code-coverage-report
          path: coverage/
          retention-days: 14

Pattern 2: Zero-Secret OIDC Cloud Deployment (.github/workflows/deploy.yml)
yaml
name: Deploy Production Service

on:
  push:
    branches: [main]

permissions: {}

concurrency:
  group: production-deployment
  cancel-in-progress: false

jobs:
  deploy-cloud:
    name: OIDC Authenticated Cloud Deploy
    runs-on: ubuntu-latest
    environment:
      name: production
      url: https://api.production.internal
    permissions:
      id-token: write # Required for requesting OpenID Connect JWT tokens
      contents: read
    steps:
      - name: Checkout Source Code
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

      - name: Authenticate with AWS via OIDC Role Assumption
        uses: aws-actions/configure-aws-credentials@e3ddf1e3cb0f23561c4d1c6a56b5b9eb29570d8c # v4.0.2
        with:
          role-to-assume: arn:aws:iam::123456789012:role/github-actions-production-deployer
          aws-region: ap-southeast-1
          audience: sts.amazonaws.com

      - name: Verify AWS Caller Identity
        run: aws sts get-caller-identity

      - name: Deploy Infrastructure or Edge Worker
        run: |
          echo "Deploying verified release to production..."
          # Application deploy command executed here

Pattern 3: Custom Modular Composite Action (.github/actions/setup-project/action.yml)
yaml
name: Setup Project Environment
description: Reusable composite action to install pnpm, setup Node.js runtime, and hydrate cache.

inputs:
  node-version:
    description: Node.js major version
    required: false
    default: '22'
  pnpm-version:
    description: pnpm package manager version
    required: false
    default: '9.15.4'

runs:
  using: 'composite'
  steps:
    - name: Enable Corepack and Install pnpm
      shell: bash
      run: |
        corepack enable
        corepack prepare pnpm@${{ inputs.pnpm-version }} --activate

    - name: Setup Node.js with Native pnpm Cache
      uses: actions/setup-node@39370e3970a6d050c480ffad4ff0ed4d3fdee5af # v4.1.0
      with:
        node-version: ${{ inputs.node-version }}
        cache: 'pnpm'

    - name: Hydrate Node Modules
      shell: bash
      run: pnpm install --frozen-lockfile

Sovereign Execution, Token Efficiency & Invariants

DimensionSovereign Mandate & Deterministic Contract
Frontier Model CascadeMedium / High (GPT-5.6 Sol Medium, Gemini 4 Argon, Claude Sonnet 5.5 High, Grok 4.7 High Fast)
Availability FallbackGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Zero unhandled missing-model errors)
KV-Cache & Token ProtocolPin static instructions & schemas at prompt prefix (kv-cache-prefix-optimizer); pass surgical CONTEXT_MAP.md slices (<250 tokens/call) during Swarm Fan-Out
SaaT CLI & MCP DispatchCLI: vibes skill exec github-actions-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_ast_query, vibes_compile_cache, vibes_optimize_budget, vibes_verify_gate
NFR & Anti-Slop InvariantsP99 API Gateway Latency < 85ms, OpenAPI 3.1 / TypeSpec strict schema parity, RFC 9457 Problem Details error contracts, Idempotency-Key enforcement; 100% complete zero-placeholder output verified via node scripts/check-anti-slop.js --strict


Bahasa Indonesia

Integrasi Orkestrasi

  • Hulu & Siklus Hidup: zero-to-prod-orchestrator (Deployment Fase 7), brainstorming, session-memory-manager.
  • Infrastruktur & Target Cloud: ci-cd-devops-architect (topologi pipeline), docker-container-expert (build kontainer & SBOM), cloud-hosting-expert (deploy edge & cloud).
  • Keamanan & Brankas Rahasia: zero-trust-secret-vault (otentikasi federasi OIDC), anti-slop (kebersihan pipeline & validasi gerbang ketat).
  • Otomasi Pengujian & Kualitas: autonomous-tdd-debugger (eksekusi pengujian otomatis), e2e-testing-expert (suite Playwright), production-ready-hardener (pemeriksaan pra-rilis).

Deskripsi

Panduan standar industri enterprise untuk merancang dan memelihara pipeline Continuous Integration & Continuous Delivery (CI/CD) berperforma tinggi dan aman di GitHub Actions. Meliputi optimasi cache dependensi deterministik (pnpm/bun/uv/cargo), workflow pakai ulang (workflow_call), aksi komposit modular (using: 'composite'), matriks pengujian multi-platform, autentikasi cloud OpenID Connect (OIDC) tanpa kunci statis untuk AWS/GCP/Azure, penguncian aksi pihak ketiga dengan full commit SHA, hak akses minimum GITHUB_TOKEN, manajemen konkurensi, atestasi artifak, dan publikasi paket dengan sertifikasi provenance.

Kondisi Pemicu (Trigger Conditions)

  • Membuat, mengonfigurasi, atau memodernisasi pipeline di folder .github/workflows/.
  • Menerapkan pengujian otomatis pada Pull Request: linter, typecheck TypeScript, unit test, dan E2E test.
  • Mengonfigurasi aksi komposit modular atau reusable workflow untuk efisiensi repo.
  • Meningkatkan keamanan CI/CD: mengganti secret statis berumur panjang dengan OIDC federation.
  • Mengunci third-party action menggunakan 40-karakter commit SHA permanen.
  • Mengatur grup konkurensi dengan cancel-in-progress: true untuk menghentikan workflow redundan.
  • Menghasilkan tanda tangan bukti perangkat lunak (SBOM / SLSA Level 3 Provenance).
  • Otomasi rilis versi paket (npm, Docker OCI, VSIX) saat git tag dibuat.

Aturan Emas Keamanan & Performa 2026

  1. Prinsip Hak Akses Terendah (Least Privilege): Tentukan permissions: {} di level workflow root, lalu berikan izin spesifik yang diperlukan pada setiap job (contents: read, pull-requests: write).
  2. Kunci SHA Komit Penuh (Full SHA Pinning): Dilarang menggunakan tag yang dapat berubah seperti @v4 atau @main. Selalu gunakan hash 40 karakter commit SHA disertai komentar versi.
  3. Autentikasi Cloud OIDC (Zero-Static Secrets): Gunakan OpenID Connect JWT token (permissions: id-token: write) untuk berinteraksi dengan AWS/GCP/Azure tanpa menyimpan API Key permanen di repository secrets.
  4. Pencegahan Penumpukan Antrean: Gunakan blok concurrency dengan pembatalan otomatis untuk menghemat menit CI runner pada push beruntun.
  5. Cache Dependensi Terpadu: Manfaatkan caching bawaan pada runner daripada melakukan download paket berulang dari internet pada setiap langkah pengujian.

Matriks Eksekusi Berdaulat, Efisiensi Token & Invarian

DimensiMandat Berdaulat & Kontrak Deterministik
Kaskade Model FrontierMedium / High (GPT-5.6 Sol Medium, Gemini 4 Argon, Claude Sonnet 5.5 High, Grok 4.7 High Fast)
Invarian Fallback KetersediaanGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Bebas gagal saat model belum tersedia/kuota penuh)
Protokol Hemat Token & KV-CacheKunci instruksi & skema statis di prefix awal (kv-cache-prefix-optimizer); kirim potongan CONTEXT_MAP.md (<250 token/panggilan) saat Fan-Out
Eksekusi SaaT CLI & MCPCLI: vibes skill exec github-actions-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_ast_query, vibes_compile_cache, vibes_optimize_budget, vibes_verify_gate
Invarian NFR & Anti-SlopLatensi P99 API < 85ms, paritas skema ketat OpenAPI 3.1 / TypeSpec, kontrak error RFC 9457 Problem Details, penegakan Idempotency-Key; kode 100% tuntas tanpa placeholder diverifikasi melalui node scripts/check-anti-slop.js --strict

Frequently asked questions

What does the Github Actions Expert AI skill do?

GitHub Actions CI/CD workflows, reusable actions, and OIDC auth / Workflow CI/CD GitHub Actions, reusable actions, dan auth OIDC.

Why use Github Actions Expert on TypingMind?

Because you install it once and use it with any model. Github Actions Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Github Actions Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roedyrustam/vibes-plug/tree/main/skills/github-actions-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Github Actions Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Github Actions Expert?

As many as you like. As long as a model supports skills, you can use Github Actions Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Github Actions Expert AI skill free?

Yes. It is published on GitHub by roedyrustam under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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