test coverage auditor
by Timoranjes
High-precision test gap analysis that prioritizes untested code by risk and identifies missing edge cases.
Skills for writing unit tests, integration tests, and end-to-end tests. Improve coverage, catch regressions, and automate QA.
155 live testing & qa skills for GitHub Copilot.
by Timoranjes
High-precision test gap analysis that prioritizes untested code by risk and identifies missing edge cases.
by Matthew King
SeleniumLibrary is the flakiest part of your Robot Framework suite. This skill swaps it for Browser library, structure intact
by Shippers
Developers waste time re-explaining their project to AI agents every session.
by OnwireFlow
Makes your coding agent work like a senior developer: exact money with no rounding errors, configurable rules, real audit trails, honest testing and review. Any stack, any country.
by Kaymue
Pre-launch accessibility audit. WCAG 2.2 AA/AAA, ADA/EAA, 70+ checks, axe-core. VPAT/ACR report for procurement.
Transforms software requirements into planned, implemented, tested, reviewed, and production-ready engineering changes.
by Elston Gunn
Physically installs and launches your APK before the agent declares the build done. Catches broken artifacts every time.
by Kaymue
Auto-generate API contract tests from OpenAPI/GraphQL. Detect drift, breaking changes. Mock server + multi-language client gen.
by Timoranjes
Detect, diagnose, and fix intermittent test failures to stabilize your CI pipeline and restore developer trust.
by Shandra
Designs robust Windows desktop automation workflows using pywinauto, UI Automation, hotkeys, image matching, OCR, retries, logging, screenshots, and safety controls.
by Roy Yuen
An evidence-first debugging workflow for agents to identify, reproduce, and surgically fix software defects.
by Roy Yuen
Enforce small, verified, and rollback-safe code increments to prevent AI scope creep and broken builds.
by Joh
Generate high-quality Jest unit tests with automatic dependency mocking for JavaScript and Angular applications.
by Zaheer Babar
Turn GitHub issues into minimal, verified, review-ready code changes.
Turn vague coding and AI-agent requests into bounded, testable execution specs before the agent touches your system. Define scope, assumptions, acceptance criteria, verification gates, allowed actions, and exactly when the agent should revise, ask, escalate, or stop.
Repair lost cancellation signals, orphaned async work, retry-after-cancel bugs, stale completions, and unclear request-vs-durable task lifetimes.
Verify AI-generated code against task requirements, evidence, tests, and merge-readiness criteria.
Trace bugs from symptoms to evidence-backed root causes, affected code paths, fixes, and regression tests.
Transform vague coding requests into production-ready AI coding prompts with context, constraints, architecture, tests, acceptance criteria, and verification gates.
Takes software work from coding and debugging through testing, release readiness, deployment verification, and production recovery.
by heyhridyansh
Detects mismatches between API specifications, code implementations, and client expectations to prevent breaking changes.
by Shandra
Audit AI-generated code for hallucinations, security flaws, and architectural drift before you merge.
by Shandra
Converts GitHub issues into repository-aware implementation plans, code changes, tests, and review-ready pull requests.
Each skill on this page is a SKILL.md file built for testing & qa work and confirmed to run in GitHub Copilot. Install one into .github/copilot/skills/ (repo) or VS Code workspace, start a new session, and GitHub Copilot follows the workflow the creator encoded instead of improvising from a short prompt.
Listings are ranked by installs, upvotes and reviews, so what surfaces first is what other GitHub Copilot users actually keep. Free and paid skills compete on the same page, and every listing shows its security scan result before you download anything.