ci-pipeline-synthesizer
Generate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects
Install / Use
npx skills add kajisho5/ffmpeg-skill --skill ci-pipeline-synthesizerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of ci-pipeline-synthesizer
ci-pipeline-synthesizer scores 90/100 on our quality scale, 1180th of 2,890 Automation skills we index (top 41%).
Its SKILL.md is 4.4 KB long, well organised into 12 sections with 4 code examples: a solid amount of guidance for an agent.
With 1,987 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so ci-pipeline-synthesizer is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
ci-pipeline-synthesizer compared with similar skills
All 4 of these similar skills score higher than ci-pipeline-synthesizer; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ci-pipeline-synthesizer (this skill)by kajisho5 | 90 | 2.0k | 6d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 101.5k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.7k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.4k | 1d ago | MCP Server |
| crawl4aiby unclecode | 100 | 86.2k | 2d ago | MCP Server |
Frequently asked questions
- How do I install ci-pipeline-synthesizer?
- Run
npx skills add kajisho5/ffmpeg-skill --skill ci-pipeline-synthesizer. The install tabs above show the steps for each supported agent. - Which AI agents does ci-pipeline-synthesizer work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is ci-pipeline-synthesizer safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ci-pipeline-synthesizer still maintained?
- The repository was last updated 6 days ago, so ci-pipeline-synthesizer is actively maintained.
Skill content
View source on GitHubname: ci-pipeline-synthesizer description: Generate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects. Use when creating or updating CI workflows for npm packages, Python packages, Go modules, Rust crates, or other library projects that need automated build and test pipelines. Includes templates for common package ecosystems with best practices for dependency caching, matrix testing, and artifact publishing.
CI Pipeline Synthesizer
Overview
Generate production-ready GitHub Actions workflow files for library and package projects with automated build and test stages, dependency caching, and multi-version testing matrices.
Workflow
1. Identify Project Type
Determine the package ecosystem by examining project files:
- Node.js/npm:
package.jsonpresent - Python:
setup.py,pyproject.toml, orrequirements.txtpresent - Go:
go.modpresent - Rust:
Cargo.tomlpresent
2. Select Template
Use the appropriate template from assets/ based on project type:
github-actions-nodejs.yml- Node.js/npm packagesgithub-actions-python.yml- Python packagesgithub-actions-go.yml- Go modulesgithub-actions-rust.yml- Rust crates
3. Customize Configuration
Adapt the template to project-specific needs:
Test commands: Update test scripts to match project conventions
- Node.js:
npm test,npm run test:coverage - Python:
pytest,python -m unittest - Go:
go test ./... - Rust:
cargo test
Build commands: Adjust build steps if needed
- Node.js:
npm run build(if build step exists) - Python:
python -m build - Go:
go build - Rust:
cargo build --release
Version matrix: Modify tested versions based on support policy
- Node.js: LTS versions (16.x, 18.x, 20.x)
- Python: Active versions (3.9, 3.10, 3.11, 3.12)
- Go: Recent versions (1.21, 1.22)
- Rust: stable, beta (optional)
Trigger conditions: Adjust when pipeline runs
- Default: Push to main/master, all pull requests
- Custom: Specific branches, paths, or schedules
4. Place Workflow File
Create the workflow file at .github/workflows/ci.yml in the project root. If .github/workflows/ doesn't exist, create the directory structure first.
5. Verify Configuration
Check that the generated workflow:
- Uses appropriate actions versions (e.g.,
actions/checkout@v4,actions/setup-node@v4) - Includes dependency caching for faster builds
- Runs on appropriate triggers (push, pull_request)
- Tests against relevant version matrices
- Has clear job and step names
Template Features
All templates include:
- Dependency caching: Speeds up builds by caching package managers
- Matrix testing: Tests across multiple language/runtime versions
- Parallel execution: Runs tests for different versions concurrently
- Clear naming: Descriptive job and step names for easy debugging
- Best practices: Uses recommended actions and configurations
Customization Examples
Add code coverage reporting:
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v3
with:
file: ./coverage.xml
Add linting step:
- name: Run linter
run: npm run lint # or: pylint, golangci-lint, cargo clippy
Restrict to specific branches:
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
Add scheduled runs:
on:
schedule:
- cron: '0 0 * * 0' # Weekly on Sunday
Tips
- Start with the template and customize incrementally
- Test the workflow by creating a pull request or pushing to a test branch
- Use
actions/cachefor dependencies to reduce build times - Keep matrix versions current with language support policies
- Add status badges to README.md:

Note for this repository (ffmpeg-skill)
This skill's generic templates assume ordinary language-toolchain dependencies
(pip/npm/go/cargo). They do NOT model this repo's actual CI needs — installing
a real ffmpeg binary per OS (apt/brew ffmpeg-full/choco), capturing its
-filters/-encoders/-bsfs listings as an artifact, or the skipIf-based
Windows test coverage in tests/test_contract.py — all of which
.github/workflows/ci.yml already handles and this skill's templates would
not reproduce. Treat this as reference/scaffolding for a plain Python/Node/Go/
Rust package elsewhere, not a drop-in replacement for this repo's own
workflow.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
