Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QA_TEST_PLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks. Diagnoses failures, applies fixes with up to 3 retry rounds, and records results in QA_TEST_PROGRESS.md. Use when user says 'run QA', 'QA test', 'QA 测试', '执行测试', '跑测试', 'test and fix', or wants to execute QA test plan.
ljk486/Rag-agent
Score58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
At session start, read the session baton (docs/session/baton.md) and orient: restate this session's goal and the single next task, then open any doc listed under "Read first" before starting work. Does not start the task automatically.
Use this skill automatically when you feel your code is ready for human review, and whenever writing or reviewing code comments. Ready means the code works and achieves a stated goal, verified by your own tests and/or, if you deem it necessary, human testing.
Gera estrutura completa de testes automatizados (unitários, integração e edge cases) com base no código existente. Use para "escrever testes para este arquivo", "aumentar cobertura" ou "criar mocks".
Checks whether a proposed new task conflicts with the project No-gos list in pitch.md. Automated detection gate to prevent mid-build scope creep and rabbit holes. This is Workflow 2 in the 9 named workflows.
Turn product photos and a minimal brief into verified, platform-adapted e-commerce detail-page systems, including product fact review, visual analysis, localized copy, 6-10 module story planning, policy-aware text-free image generation or real-photo routing, deterministic Pillow typography, platform-sized slices, long-page previews, manifests, and automated validation. Supports 淘宝/天猫/京东/拼多多/抖音/小红书/Amazon/AliExpress/Temu/TikTok Shop/eBay/Etsy/Shopify. Use when a user asks for 电商详情页, 商品详情图, 商详设计, A+ content, listing galleries, or a short-input workflow that turns product photos into ready-to-review commerce assets without inventing unsupported claims.
Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QA_TEST_PLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks. Diagnoses failures, applies fixes with up to 3 retry rounds, and records results in QA_TEST_PROGRESS.md. Use when user says 'run QA', 'QA test', 'QA 测试', '执行测试', '跑测试', 'test and fix', or wants to execute QA test plan.
Documentation reference for using Browser Use Cloud — the hosted API and SDK for browser automation. Use this skill whenever the user needs help with the Cloud REST API (v2 or v3), browser-use-sdk (Python or TypeScript), X-Browser-Use-API-Key authentication, cloud sessions, browser profiles, profile sync, CDP WebSocket connections, stealth browsers, residential proxies, CAPTCHA handling, webhooks, workspaces, skills marketplace, liveUrl streaming, pricing, or integration patterns (chat UI, subagent, adding browser tools to existing agents). Also trigger for questions about n8n/Make/Zapier integration, Playwright/ Puppeteer/Selenium on cloud infrastructure, or 1Password vault integration. Do NOT use this for the open-source Python library (Agent, Browser, Tools config) — use the open-source skill instead.
Add a Canva-style visual Edit Mode to any HTML presentation/slide deck. Use this skill EVERY TIME you create, generate, or finish building an HTML presentation, slide deck, or מצגת for the user - inject the editor automatically as the final step. Also use when the user asks to "make my deck editable", "add edit mode", "הוסף מצב עריכה", "תעשה שאוכל לערוך את המצגת", or wants to move/edit/add elements in an existing HTML deck.
Append a row to the Spreadsheet Hub whenever a new spreadsheet is created OR a new tab is added to an existing spreadsheet. This is an automatic rule — never skip it. Do not use for logging flow docs (use /flow-plans-log).
An enterprise-grade, AI-powered penetration testing automation CLI tool. Orchestrates multiple specialized AI agents (Planner, ToolAgent, Analyst, Reporter) backed by 4 AI providers (OpenAI, Claude, Gemini, OpenRouter) and 19 integrated security tools through YAML-defined workflows. Produces professional Markdown, HTML, or JSON security reports with full evidence capture and traceability.
Evaluate AI Agent Skills across safety, quality, reliability, and cost efficiency. Audit for security issues (secrets, injection, unsafe installs), test functional correctness with-skill vs without-skill, measure trigger precision, classify cost-efficiency tradeoffs, track version lifecycle, and generate unified grades. Use when evaluating a skill before installing, auditing marketplace skills, proving your skill works with automated tests, setting up CI/CD quality gates, or comparing two skill versions. NOT for: evaluating full agent systems, testing non-skill plugins, runtime performance benchmarking, or monitoring production agent behavior.
Expert tool for generating and executing Django unit, integration, and security tests. Triggers when the user mentions "test", "unit test", "coverage", "pytest", or "Django testing". Analyzes Django models, serializers, views, and security layers. Processes Postman collections and API documentation to create edge-case scenarios. Automatically runs pytest and generates CSV/AI reports post-execution.
Use when a merchant wants to run instant discounts, cashbacks, bank-specific offers, or no-cost EMI at checkout — creating offers via API and having Cashfree validate eligibility and apply the discount automatically. Triggers: offers, discount, cashback, bank offer, SBI offer, HDFC offer, no-cost EMI, no cost EMI, instant discount, BIN offer, issuer offer, POST /pg/offers, offer_id, offer_code, offer_status, offer_meta, offer_details, offer_type DISCOUNT CASHBACK DISCOUNT_AND_CASHBACK NO_COST_EMI, offer_validations, min_amount, max_allowed, payment_method card_bank_name card_network card_type, EMI offer, wallet offer, paylater offer, sale campaign, UPI cashback, payment_offers in webhook, applied offer. Pair with pg/apis (attach offer_id on Order Pay) and pg/webhooks (payment_offers payload).
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.