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Ffmpeg Cicd Runners

  • 53 installs
  • 50 repo stars
  • Updated June 18, 2026
  • josiahsiegel/claude-plugin-marketplace

Helps with ai & agent building tasks.

About

ffmpeg-cicd-runners is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • ffmpeg-cicd-runners
  • AI & Agent Building
  • AI-coding skill

Ffmpeg Cicd Runners by the numbers

  • 53 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #7,039 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs53
repo stars50
Last updatedJune 18, 2026
Repositoryjosiahsiegel/claude-plugin-marketplace

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

CRITICAL GUIDELINES

Windows File Path Requirements

MANDATORY: Always Use Backslashes on Windows for File Paths

When using Edit or Write tools on Windows, you MUST use backslashes (\) in file paths, NOT forward slashes (/).

---

Quick Reference

PlatformInstall MethodExample
GitHub Actionsapt-get or actionuses: FedericoCarboni/setup-ffmpeg@v3
GitLab CIDocker imageimage: jrottenberg/ffmpeg:7.1-ubuntu2404
JenkinsDocker containerdocker { image 'jrottenberg/ffmpeg:7.1' }
TaskYAML Snippet
Cache FFmpeguses: actions/cache@v4 with path: /usr/local/bin/ffmpeg
Upload artifactuses: actions/upload-artifact@v4
Matrix buildstrategy: { matrix: { format: [mp4, webm, mkv] } }

When to Use This Skill

Use for CI/CD video processing pipelines:

  • GitHub Actions FFmpeg workflows
  • GitLab CI/CD video transcoding
  • Jenkins video processing jobs
  • Caching FFmpeg for faster builds
  • Windows runner workarounds

---

FFmpeg in CI/CD Pipelines (2025)

Comprehensive guide to using FFmpeg in GitHub Actions, GitLab CI, Jenkins, and other CI/CD systems.

Overview

Common CI/CD Use Cases

  • Video validation: Check uploaded videos meet requirements
  • Transcoding: Convert videos to multiple formats/resolutions
  • Thumbnail generation: Create preview images
  • Audio extraction: Process audio tracks
  • Quality checks: Validate encoding parameters
  • Testing: Test video processing pipelines

Key Considerations

  • Build time: FFmpeg compilation takes 20-40+ minutes
  • Runner resources: CPU/memory limits affect processing
  • Caching: Cache FFmpeg builds for faster runs
  • Platform differences: Windows runners have unique issues
  • Dependencies: Codec libraries may need installation

GitHub Actions

Install FFmpeg (Quick)

name: Video Processing

on: [push, pull_request]

jobs:
  process:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Install FFmpeg
        run: |
          sudo apt-get update
          sudo apt-get install -y ffmpeg

      - name: Check FFmpeg version
        run: ffmpeg -version

      - name: Process video
        run: |
          ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4

Install Specific FFmpeg Version

jobs:
  process:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Install FFmpeg 7.1
        run: |
          wget https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz
          tar xf ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz
          sudo cp ffmpeg-n7.1-latest-linux64-gpl-7.1/bin/* /usr/local/bin/
          ffmpeg -version

Use FedericoCarboni/setup-ffmpeg Action

jobs:
  process:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Setup FFmpeg
        uses: FedericoCarboni/setup-ffmpeg@v3
        with:
          ffmpeg-version: release
          github-token: ${{ secrets.GITHUB_TOKEN }}

      - name: Process video
        run: ffmpeg -i input.mp4 output.webm

Docker-Based FFmpeg

jobs:
  process:
    runs-on: ubuntu-latest
    container:
      image: jrottenberg/ffmpeg:7.1-ubuntu2404

    steps:
      - uses: actions/checkout@v4

      - name: Process video
        run: |
          ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4

Caching FFmpeg Build

jobs:
  build-ffmpeg:
    runs-on: ubuntu-latest

    steps:
      - name: Cache FFmpeg
        id: cache-ffmpeg
        uses: actions/cache@v4
        with:
          path: /usr/local/bin/ffmpeg
          key: ffmpeg-7.1-linux-${{ runner.arch }}

      - name: Build FFmpeg (if not cached)
        if: steps.cache-ffmpeg.outputs.cache-hit != 'true'
        run: |
          wget https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz
          tar xf ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz
          sudo cp ffmpeg-n7.1-latest-linux64-gpl-7.1/bin/ffmpeg /usr/local/bin/

Matrix Build (Multiple Platforms)

jobs:
  process:
    strategy:
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]

    runs-on: ${{ matrix.os }}

    steps:
      - uses: actions/checkout@v4

      - name: Setup FFmpeg
        uses: FedericoCarboni/setup-ffmpeg@v3

      - name: Process video
        run: ffmpeg -i input.mp4 -c:v libx264 output_${{ matrix.os }}.mp4
        shell: bash

Windows Runner (Known Issues)

Issue: Windows runners take significantly longer (up to 4 hours for vcpkg FFmpeg builds)

Solutions:

jobs:
  windows-ffmpeg:
    runs-on: windows-latest

    steps:
      - uses: actions/checkout@v4

      # Option 1: Use pre-built binaries (recommended)
      - name: Download FFmpeg
        run: |
          Invoke-WebRequest -Uri "https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-n7.1-latest-win64-gpl-7.1.zip" -OutFile ffmpeg.zip
          Expand-Archive ffmpeg.zip -DestinationPath .
          $env:PATH = "$PWD\ffmpeg-n7.1-latest-win64-gpl-7.1\bin;$env:PATH"
          ffmpeg -version

      # Option 2: Use setup-ffmpeg action
      - name: Setup FFmpeg
        uses: FedericoCarboni/setup-ffmpeg@v3

      - name: Process video
        run: ffmpeg -i input.mp4 output.mp4

GPU-Enabled Runners

jobs:
  gpu-process:
    runs-on: [self-hosted, gpu, linux]

    steps:
      - uses: actions/checkout@v4

      - name: Process with NVIDIA GPU
        run: |
          ffmpeg -hwaccel cuda -hwaccel_output_format cuda \
            -i input.mp4 \
            -c:v h264_nvenc \
            -preset p4 \
            output.mp4

Artifact Upload

jobs:
  process:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Install FFmpeg
        run: sudo apt-get update && sudo apt-get install -y ffmpeg

      - name: Generate outputs
        run: |
          mkdir -p outputs
          ffmpeg -i input.mp4 -vf scale=1920:1080 outputs/1080p.mp4
          ffmpeg -i input.mp4 -vf scale=1280:720 outputs/720p.mp4
          ffmpeg -i input.mp4 -ss 00:00:05 -vframes 1 outputs/thumbnail.jpg

      - name: Upload artifacts
        uses: actions/upload-artifact@v4
        with:
          name: video-outputs
          path: outputs/
          retention-days: 7

Video Validation Workflow

name: Validate Videos

on:
  pull_request:
    paths:
      - '**.mp4'
      - '**.webm'
      - '**.mov'

jobs:
  validate:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Install FFmpeg
        run: sudo apt-get update && sudo apt-get install -y ffmpeg

      - name: Validate videos
        run: |
          for video in $(find . -name "*.mp4" -o -name "*.webm" -o -name "*.mov"); do
            echo "Validating: $video"

            # Check if valid
            if ! ffprobe -v error "$video"; then
              echo "Invalid video: $video"
              exit 1
            fi

            # Get info
            duration=$(ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "$video")
            resolution=$(ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 "$video")

            echo "Duration: ${duration}s"
            echo "Resolution: $resolution"

            # Validate constraints
            if (( $(echo "$duration > 300" | bc -l) )); then
              echo "Video too long: $video ($duration seconds)"
              exit 1
            fi
          done

GitLab CI

Basic Pipeline

# .gitlab-ci.yml

stages:
  - process

video-process:
  stage: process
  image: jrottenberg/ffmpeg:7.1-ubuntu2404
  script:
    - ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4
  artifacts:
    paths:
      - output.mp4
    expire_in: 1 week

Multi-Format Transcoding

transcode:
  stage: process
  image: jrottenberg/ffmpeg:7.1-ubuntu2404
  script:
    - mkdir -p outputs
    - ffmpeg -i input.mp4 -c:v libx264 -crf 23 outputs/h264.mp4
    - ffmpeg -i input.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 outputs/vp9.webm
    - ffmpeg -i input.mp4 -vf scale=1280:720 outputs/720p.mp4
  artifacts:
    paths:
      - outputs/

Parallel Processing

.process-template: &process-template
  stage: process
  image: jrottenberg/ffmpeg:7.1-ubuntu2404

process-1080p:
  <<: *process-template
  script:
    - ffmpeg -i input.mp4 -vf scale=1920:1080 output_1080p.mp4
  artifacts:
    paths:
      - output_1080p.mp4

process-720p:
  <<: *process-template
  script:
    - ffmpeg -i input.mp4 -vf scale=1280:720 output_720p.mp4
  artifacts:
    paths:
      - output_720p.mp4

process-480p:
  <<: *process-template
  script:
    - ffmpeg -i input.mp4 -vf scale=854:480 output_480p.mp4
  artifacts:
    paths:
      - output_480p.mp4

GPU Runner (GitLab)

gpu-transcode:
  stage: process
  tags:
    - gpu
    - linux
  image: jrottenberg/ffmpeg:7.1-nvidia2404
  script:
    - ffmpeg -hwaccel cuda -i input.mp4 -c:v h264_nvenc output.mp4

Jenkins

Declarative Pipeline

pipeline {
    agent {
        docker {
            image 'jrottenberg/ffmpeg:7.1-ubuntu2404'
            args '-v /data/videos:/videos'
        }
    }

    stages {
        stage('Process') {
            steps {
                sh '''
                    ffmpeg -i /videos/input.mp4 \
                           -c:v libx264 -crf 23 \
                           -c:a aac -b:a 128k \
                           /videos/output.mp4
                '''
            }
        }
    }

    post {
        success {
            archiveArtifacts artifacts: '/videos/output.mp4'
        }
    }
}

Parallel Transcoding

pipeline {
    agent any

    stages {
        stage('Transcode') {
            parallel {
                stage('1080p') {
                    agent {
                        docker { image 'jrottenberg/ffmpeg:7.1-ubuntu2404' }
                    }
                    steps {
                        sh 'ffmpeg -i input.mp4 -vf scale=1920:1080 output_1080p.mp4'
                    }
                }
                stage('720p') {
                    agent {
                        docker { image 'jrottenberg/ffmpeg:7.1-ubuntu2404' }
                    }
                    steps {
                        sh 'ffmpeg -i input.mp4 -vf scale=1280:720 output_720p.mp4'
                    }
                }
            }
        }
    }
}

BtbN/FFmpeg-Builds

Overview

BtbN/FFmpeg-Builds is the most popular automated FFmpeg build system, providing pre-built static binaries for multiple platforms.

Build Matrix

TargetVariantsFeatures
win64gpl, lgpl, gpl-shared, lgpl-sharedFull Windows 64-bit
winarm64gpl, lgplWindows ARM64
linux64gpl, lgpl, gpl-shared, lgpl-sharedFull Linux 64-bit
linuxarm64gpl, lgplLinux ARM64

Download in CI

- name: Download FFmpeg
  run: |
    # Latest release
    wget https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz

    # Specific version
    wget https://github.com/BtbN/FFmpeg-Builds/releases/download/autobuild-2025-01-15-12-50/ffmpeg-n7.1-latest-linux64-gpl-7.1.tar.xz

Performance Optimization

Parallel Processing

# Process multiple files in parallel
jobs:
  process:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        video: [video1.mp4, video2.mp4, video3.mp4]
      max-parallel: 3

    steps:
      - name: Process ${{ matrix.video }}
        run: ffmpeg -i ${{ matrix.video }} -c:v libx264 output_${{ matrix.video }}

Resource-Optimized Encoding

- name: Optimized encoding
  run: |
    # Use appropriate threads for runner
    THREADS=$(nproc)

    ffmpeg -i input.mp4 \
      -threads $THREADS \
      -c:v libx264 \
      -preset fast \
      -crf 23 \
      output.mp4

Caching Dependencies

- name: Cache FFmpeg and libraries
  uses: actions/cache@v4
  with:
    path: |
      ~/.local/bin/ffmpeg
      ~/.local/lib/
    key: ffmpeg-${{ runner.os }}-${{ hashFiles('ffmpeg-version.txt') }}

Troubleshooting

Common Issues

"ffmpeg: command not found"

# Ensure FFmpeg is in PATH
- name: Add FFmpeg to PATH
  run: echo "/path/to/ffmpeg/bin" >> $GITHUB_PATH

"Cannot allocate memory"

# Reduce memory usage
- name: Process with low memory
  run: |
    ffmpeg -i input.mp4 \
      -threads 2 \
      -preset ultrafast \
      -vf scale=1280:720 \
      output.mp4

Windows path issues

# Use forward slashes on Windows
- name: Process on Windows
  run: ffmpeg -i "./input.mp4" "./output.mp4"
  shell: bash

Debugging

- name: Debug FFmpeg
  run: |
    # Check FFmpeg capabilities
    ffmpeg -version
    ffmpeg -encoders
    ffmpeg -decoders
    ffmpeg -formats

    # Verbose processing
    ffmpeg -v verbose -i input.mp4 -c:v libx264 output.mp4 2>&1 | tee ffmpeg.log

- name: Upload logs
  if: failure()
  uses: actions/upload-artifact@v4
  with:
    name: ffmpeg-logs
    path: ffmpeg.log

Best Practices

1. Use pre-built binaries - Avoid compiling FFmpeg in CI (slow) 2. Cache FFmpeg installation - Reduce setup time 3. Use Docker containers - Consistent FFmpeg environment 4. Optimize for runner resources - Match threads/preset to available CPU 5. Validate inputs - Check video files before processing 6. Upload artifacts - Store outputs for review 7. Use matrix builds - Parallelize multi-format transcoding 8. Monitor build times - Windows runners are slower 9. Pin versions - Avoid latest for reproducibility 10. Use `-preset fast/ultrafast` - Faster encoding for CI

This guide covers CI/CD FFmpeg patterns. For hardware acceleration in CI, consider self-hosted GPU runners.

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