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Found 232 Skills
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimizationUse when "rag, retrieval augmented, vector search, embeddings, semantic search, document qa, rag, retrieval, embeddings, vector, search, llm" mentioned.
Senior Frontend QA Engineer with 10+ years JavaScript/TypeScript testing experience. Use when writing unit tests for React components, creating integration tests with React Testing Library, testing custom hooks, mocking APIs, or following TDD for frontend.
Comprehensive guide for Qiskit - IBM's quantum computing framework. Use for quantum circuit design, quantum algorithms (VQE, QAOA, Grover, Shor), quantum simulation, noise modeling, quantum machine learning, and quantum chemistry calculations. Essential for quantum computing research and applications.
Score, grade, or evaluate things using AI against a rubric. Use when grading essays, scoring code reviews, rating candidate responses, auditing support quality, evaluating compliance, building a quality rubric, running QA checks against criteria, assessing performance, rating content quality, or any task where you need numeric scores with justifications — not just categories.
Comprehensive test automation specialist covering unit, integration, and E2E testing strategies. Expert in Jest, Vitest, Playwright, Cypress, pytest, and modern testing frameworks. Guides test pyramid design, coverage optimization, flaky test detection, and CI/CD integration. Activate on 'test strategy', 'unit tests', 'integration tests', 'E2E testing', 'test coverage', 'flaky tests', 'mocking', 'test fixtures', 'TDD', 'BDD', 'test automation'. NOT for manual QA processes, load/performance testing (use performance-engineer), or security testing (use security-auditor).
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
Use when receiving UAT feedback, bug reports, user testing results, stakeholder feedback, QA findings, or any batch of issues to investigate. Investigates each item BEFORE creating issues, classifies by type and priority, creates well-formed GitHub issues with proper project board integration.
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.
Browser automation skill for UI testing via Chrome MCP tools. Use when: (1) QA Agent needs to verify UI visually or test interactions, (2) UI/UX Designer needs to check responsive design or component states, (3) Frontend Dev needs quick visual verification during development, (4) Test Writer needs to document user flows with screenshots/GIFs, (5) Any agent needs to test web interfaces, record demos, or debug UI issues. Capabilities: screenshots, interaction testing, accessibility checks, GIF recording, responsive testing, console/network debugging.
Performs comprehensive PR code review from 5 perspectives (quality/performance/tests/docs/security) in parallel, providing Blockers/Suggestions/Nice-to-have and merge decision. Args: /review [owner/repo] [pr-number] [--focus all|security|perf|qa|docs|types] Activates when user mentions "review", "PR確認", "コードレビュー", "マージ判定".
Find broken links on websites. Use when: auditing website for broken links; checking internal link structure; finding 404 errors; validating external links; pre-launch QA
Takes a campaign brief and submitted creator content description and produces a structured pass/fail checklist against every brief requirement. This skill should be used when checking if creator content matches the brief, reviewing influencer deliverables against requirements, auditing submitted content for brief compliance, verifying a creator hit all the brief requirements, running a content QA check before approval, comparing a draft to the original brief, grading content against campaign specifications, or reviewing creator submissions before giving approval. For converting raw feedback into a polished revision request to send to a creator, see content-approval-feedback-formatter. For FTC disclosure compliance specifically, see ftc-disclosure-spot-checker.