Best use case
woodpecker-ci is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Lightweight container-native CI/CD with Woodpecker
Teams using woodpecker-ci should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/woodpecker-ci/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How woodpecker-ci Compares
| Feature / Agent | woodpecker-ci | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Lightweight container-native CI/CD with Woodpecker
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Woodpecker CI – Container-Native CI/CD
Woodpecker CI is a lightweight, fully open-source CI/CD system
that runs pipeline steps in Docker containers.
- **GitHub**: github.com/woodpecker-ci/woodpecker (5 000+ ⭐)
- **License**: Apache-2.0
- **Security**: Community-driven Drone CI fork. No malware.
## Environment Variables
| Variable | Description |
|---|---|
| `{{WOODPECKER_URL}}` | Base URL of the Woodpecker server |
| `{{WOODPECKER_TOKEN}}` | Personal API token |
## Usage Examples
### List repos
```bash
curl -s "{{WOODPECKER_URL}}/api/user/repos" \
-H "Authorization: Bearer {{WOODPECKER_TOKEN}}"
```
### Get pipeline status
```bash
curl -s "{{WOODPECKER_URL}}/api/repos/<owner>/<repo>/pipelines/latest" \
-H "Authorization: Bearer {{WOODPECKER_TOKEN}}"
```
## AI Agent Tips
- Each step runs in its own container for isolation.
- YAML pipeline definitions live alongside your code.
- Supports Gitea, GitHub, GitLab, and Forgejo as Git providers.
- Multi-platform builds (Linux, ARM) via agents.Related Skills
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