AI Agent Skills

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workfl…

Woodpecker is a simple, yet powerful CI/CD engine with great extensibility.

Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton

tbls is a CI-Friendly tool to document a database, written in Go.

蓝鲸持续集成平台(蓝盾)

Run tests using Jest & Puppeteer 🎪✨

Checks requirements.txt, pyproject.toml, and package.json dependency manifests for surface-level direct-dependency footguns: standard-library shadowing pins, ab

Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable i…

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate th…

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain…

Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. U…

Run, rerun, inspect, and QA promptfoo redteam scans from generated redteam YAML or an existing redteam setup config. Use when executing `promptfoo redteam eval` or `prom…

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in C…

68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprin…

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.