Free alternatives to quality-playbook
50 free AI Skills apps to use instead, best rated first.
Top picks
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LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
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openhue
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batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
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implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
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frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning
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test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About quality-playbook
quality-playbook
Run a complete quality engineering audit on any codebase
quality-playbook is an agent skill from the github/awesome-copilot collection that runs a complete quality engineering audit on a codebase. It works in phases, and the skill insists that the plan be read first, because each phase produces artifacts that the next one depends on. Phase 0 loads the findings of any earlier quality run as seed data, so re-runs build on what was learned. Phase 1 explores the code in three stages: open exploration driven by domain knowledge, a risk analysis based on that knowledge, and selected structured exploration patterns. Its findings are written to a quality/EXPLORATION.md file, which is the foundation for everything after. Phase 2 reads that file and generates the quality artifacts: behavioral requirements derived from the code, a constitution, functional tests traced back to those requirements, a code review protocol, integration tests, a specification audit protocol and a test-driven development protocol. The skill also includes a document intake step that reads reference documents the project supplies. The goal is to find where the code's behavior and its intent diverge, and to give the team tests and protocols that keep them aligned. A quality audit is only as good as the domain knowledge behind the exploration, so a team member who knows the system should check the requirements the skill derives from the code. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 1.6K installs. At the time of the scan, Gen Agent Trust Hub returned a warning, while Socket and Snyk passed.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/quality-playbook