Vitest and TypeScript project skills, the py-testing shape for the TypeScript side: config that shares vite.config.ts, mocking and fake-timer rules, test.extend fixtures, typecheck mode, CI reporters and sharding; tsconfig for Node with nodenext, the TypeScript 6 and 7 default changes, strictness adoption, project references, type stripping; and a Sonnet test-implementer with both skills preloaded.
Plugin ts-testing from marketplace konyklabs-plugins in konyklabs/claude-plugins. Commands read from the repo's manifest — 12 days ago.
testing-typescript-projectsHow a TypeScript project is configured so its tests and builds behave — the tsconfig for Node with nodenext and .js extensions, the TypeScript 6 and 7 defaults that changed under existing configs (strict on, baseUrl deprecated, types empty, native compiler with no programmatic API yet), the strictne
testing-vitestTesting TypeScript projects with Vitest — the config that shares vite.config.ts, the v4 and v5 changes a suite written from memory gets wrong (projects not workspace, clearMocks on by default, hoisted vi.mock at top level, unawaited async assertions failing), vi.mock hoisting and the ESM spy limits,
test-implementerImplements test-suite work from a written spec on Sonnet at medium effort with the Vitest and TypeScript project skills preloaded — writing or porting Vitest tests, mocks, fixtures and fake-timer setups, and tsconfig or project-reference changes — and pastes the vitest run and tsc --noEmit output as
Token guardrails for sessions on Fable-tier models: writes the task brief from a short interview, pins spawns to cheap workers, denies forks, requires a brief for expensive spawns, prices a per-session budget from the transcript, and holds workers to an evidence contract.
11 skills · 6 agents · hooks
Python test engineering skills — pytest project structure, Playwright API and browser tests, SQLAlchemy test fixtures — and the untangling workflow for large unmerged test suites.
5 skills · 1 agent
Production-readiness and security-scanning checks: a categorized deterministic scan, summarized external scanners, and an auditor agent, ordered by observed impact.
3 skills · 2 agents
GitHub Actions workflows authored, preflighted and reviewed the way the infrastructure work is: a deterministic preflight (actionlint and zizmor on PATH reduced to counts, structural checks for the pinning, permissions, pull_request_target and injection traps), a workflow review lens with an Opus reviewer agent, and docs-first authoring references for reusable workflows, permissions and OIDC, supply chain and runtime shape.
3 skills · 1 agent
Reconciles an application's end-to-end coverage against what it does: explore, mine, tile, fill, report, human-readable test cases.
4 skills
OpenTofu on AWS, authored and reviewed the way the Python work is: a deterministic preflight (fmt, validate, the linters on PATH reduced to counts, structural checks for the Fargate and Lambda traps no linter catches, a plan summary that fails closed on destroy), a Terraform review lens with an Opus reviewer agent, and docs-first authoring references for ECS Fargate, Lambda, IAM, networking and state.
3 skills · 1 agent
Collection of example skills demonstrating various capabilities including skill creation, MCP building, visual design, algorithmic art, internal communications, web testing, artifact building, Slack GIFs, and theme styling
19 skills
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
1 command · 6 agents
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Build, preview, and test UI components with Storybook.
7 skills
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.