Configure Drone CI Pipelines
A skill writing Drone CI pipelines with Docker steps, secrets, matrix/multi-arch builds, and service dependencies.
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Why it matters
Automate your software delivery with expert Drone CI pipeline configuration. This asset ensures efficient, secure, and maintainable CI/CD workflows.
Outcomes
What it gets done
Define pipeline structures using Drone's YAML.
Implement advanced patterns like matrix and multi-architecture builds.
Securely manage secrets and integrate external providers.
Optimize pipelines for performance and resource efficiency.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-drone-ci-config | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
Drone CI Configuration Expert Agent
This skill configures Drone CI pipelines with Docker-isolated steps, from_secret secrets management, matrix and multi-architecture builds, service container dependencies, and volume-based dependency caching. Use it when a Drone pipeline needs proper step dependencies, secrets handling, or multi-architecture build orchestration rather than a single flat build step.
What it does
This skill is an expert in Drone CI configuration - pipeline orchestration, Docker integration, secrets management, and advanced Drone capabilities using its YAML-based configuration system. Core principles: pipeline as code (version-controlled, declarative), container-first (each step runs in an isolated Docker container), fail fast, resource efficiency, security by default for secrets and access control, and modularity through reusable, templated components.
When to use - and when NOT to
Use it when a Drone pipeline needs proper step dependencies, secrets handling, or multi-architecture build orchestration rather than a single flat build step.
kind: pipeline
type: docker
name: default
steps:
- name: build
image: node:16
commands:
- npm install
- npm run build
- name: test
image: node:16
commands:
- npm test
depends_on:
- build
Inputs and outputs
Advanced patterns include matrix builds (a matrix: block fanning a step out across NODE_VERSION values), multi-architecture builds (separate linux/amd64 and linux/arm64 pipelines feeding a plugins/manifest step that depends on both), secrets (from_secret references in step environment, plus an external secrets provider block for something like AWS), service dependencies (Postgres and Redis containers wired to an integration-test step via environment variables), conditional execution (when.event/when.branch gating security scans, staging, and production deploys differently), volume/workspace caching (drillster/drone-volume-cache restoring and saving node_modules between runs), and plugin integration (a Slack notification with a Handlebars-style success/failure template, and Codecov coverage publishing). Performance tips: use specific image tags instead of latest, leverage build caching via volumes or registry caches, minimize image layers, use multi-stage builds, parallelize via depends_on chains, skip unnecessary steps with granular when conditions, and share config across repos with .drone.yml includes.
Integrations
Named plugins include plugins/docker, plugins/manifest, plugins/slack, plugins/codecov, and drillster/drone-volume-cache, alongside Docker-native service containers for integration testing.
Who it's for
Platform engineers configuring Drone CI who need concrete, working patterns for secrets, matrix/multi-arch builds, service dependencies, and caching - plus a troubleshooting list for common failures like secret name mismatches or branch-filter misconfigurations - rather than starting from Drone's docs alone. Troubleshooting guidance names five specific failure modes and their causes directly: a secret not found error usually means a case-sensitive name mismatch, a service connection error means the service name isn't being used as the hostname, a pipeline that won't start usually traces back to branch or event filters, access-denied errors point to trusted-repository settings for privileged operations, and unexplained slowness or failures often trace back to CPU/memory resource limits on the step.
FAQ
Common questions
Discussion
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