---
title: "concourse-ci"
description: "Expert guidance for Concourse CI pipeline development, optimization, and troubleshooting"
canonical: https://agentpluginsdirectory.com/plugins/concourse-ci
last-updated: 2026-09-22
---

# concourse-ci
Expert guidance for Concourse CI pipeline development, optimization, and troubleshooting
- Slug: concourse-ci
- Publisher: Netresearch DTT GmbH
- Repository: https://github.com/netresearch/concourse-ci-skill
- Manifest: plugin.json
- Version: 1.11.4
- License: (MIT AND CC-BY-SA-4.0)
- Category (editorial): devops-cloud
- Skills: 1 (concourse-ci)
- MCP servers: 0
- Stars: 2
- Repository created: 2026-01-23
- Repository last pushed: 2026-09-20
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/concourse-ci
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What concourse-ci does, in the publisher's words

Agent Skill for expert Concourse CI pipeline development, optimization, and troubleshooting.

- Pipeline Creation: Write production-ready Concourse CI pipelines with proper structure
- Resource Configuration: Configure git-resource, registry-image-resource, and 50+ resource types
- Optimization: Parallel execution, task caching, resource filtering patterns
- Troubleshooting: Debug common issues including git tag detection problems
- Best Practices: YAML anchors for DRY, job lifecycle hooks, webhook triggers
- Multi-Branch Pipelines: Dynamic pipeline management with set_pipeline and across

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/netresearch/concourse-ci-skill/HEAD/README.md

## Skills

- concourse-ci: Use when working with ANY Concourse CI task: writing pipelines, configuring resources, building images with oci-build-task, troubleshooting failing jobs, migrating from legacy patterns, or optimizing CI/CD. Triggers on: Concourse, pipeline, fly CLI, resource type, oci-build-task, set_pipeline, conc…

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.