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CI/CD Pipeline Designer
The CI/CD Pipeline Designer helps developers architect, optimize, and secure their delivery pipelines.
$9.99
CI/CD Pipeline Designer
Example session with this skill installed
Our GitHub Actions pipeline for a Next.js and Postgres monorepo takes about 28 minutes. Lint, unit tests and Playwright e2e run one after another with no caching, and every push to main deploys straight to production. We had two broken deploys last month caused by flaky e2e tests.
- Read your context and instructions
- Compiled the ci cd pipeline
Redesigned pipeline: fast checks first, parallel test jobs, cached dependencies, and a gated deploy with rollback triggers.
Audit findings
| Issue | Effect |
|---|---|
| Sequential stages | Wall time is the sum of every job |
| No dependency cache | Full install on every run |
| No deploy gate | Any green run ships to prod |
| Flaky e2e not isolated | Flakes block or pass randomly |
Stage order
- Install + cache (pnpm store, Next.js build cache)
- Parallel: lint, typecheck, unit tests
- Build once, upload artifact
- E2E sharded across runners, against a Postgres service container
- Deploy to staging, smoke tests
- Manual or automatic gate, then production
e2e:
needs: build
strategy:
matrix: { shard: [1, 2, 3, 4] }
steps:
- run: pnpm playwright test --shard=${{ matrix.shard }}/4
Flaky test quarantine
Tag known flakes @quarantine, run them in a separate non-blocking job, and track each one with an owner until fixed.
Rollback triggers
- Smoke test failure after production deploy
- Error rate or health check failure in the first minutes after release
- Action: redeploy the previous build artifact
Next steps
- Add caching and parallel jobs first
- Quarantine the tests behind last month's failures
- Add the staging stage and production gate
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
The CI/CD Pipeline Designer helps developers architect, optimize, and secure their delivery pipelines. It moves beyond simple script generation by applying engineering principles like cost-to-information ratios and fail-fast design. Whether you are dealing with 20-minute build times, flaky tests, or manual deployment anxiety, this skill audits your current process and provides a concrete roadmap for improvement.
Why use this skill
Most AI prompts just give you a generic .yml file. This skill acts as a DevOps consultant. It analyzes your specific stack and constraints to solve high-level problems like dependency caching bottlenecks, supply-chain vulnerabilities, and inefficient test suites. It focuses on the developer experience, ensuring that feedback loops are tight and deployments are boring (in the best way possible).
Key Features
- Fail-Fast Optimization: Reorders stages to catch errors at the cheapest possible point.
- Flaky Test Management: Implements quarantine protocols to stop noise from breaking builds.
- Advanced Deployment: Designs Blue-Green, Canary, and automatic rollback strategies.
- Security First: Audits secrets management and supply-chain hygiene.
- Testing Performance: Provides logic for test splitting and parallelization to slash runtime.
Supported Platforms
Works across all major providers including GitHub Actions, GitLab CI, CircleCI, Jenkins, and Bitbucket Pipelines, adapted to your specific language stack and cloud provider.
- Does not perform live cloud infrastructure provisioning.
- Analysis depends on accuracy of user-provided logs and configs.
- Limited support for legacy on-prem Jenkins plugins.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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