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Topic: testing

247 skills in this topic.

monitoring-observability Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span, should_export_span, LangfuseMedia), and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
yonatangross/orchestkit 143
multi-surface-render Multi-surface rendering with json-render — same JSON spec produces React components, PDFs, emails, Remotion videos, OG images, and more. Covers renderer target selection, registry mapping, and platform-specific APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for multiple platforms, creating PDF reports, email templates, demo videos, or social media images from a single component spec.
yonatangross/orchestkit 143
multimodal-llm Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI video (Kling, Sora, Veo, Runway), or building multimodal AI pipelines.
yonatangross/orchestkit 143
notebooklm NotebookLM integration patterns for external RAG, research synthesis, studio content generation (audio, cinematic video, slides, infographics, mind maps), and knowledge management. Use when creating notebooks, adding sources, generating audio/video, or querying NotebookLM via MCP.
yonatangross/orchestkit 143
okr-design OKR trees, KPI dashboards, North Star Metric, leading/lagging indicators, and experiment design. Use when setting team goals, defining success metrics, building measurement frameworks, or designing A/B experiment guardrails.
yonatangross/orchestkit 143
performance Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, LLM inference, and sustainability UX. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, deploying LLMs efficiently, or reducing digital carbon footprint.
yonatangross/orchestkit 143
portless Named .localhost URLs for local development with portless. Eliminates port collisions, enables stable URLs for agents, integrates with emulate for API emulation aliases and git worktrees for branch-named subdomains. Use when setting up local dev environments, configuring agent-accessible URLs, or running multi-service dev setups. Do NOT use for production deployments, CI environments (set PORTLESS=0), or DNS/hosting configuration.
yonatangross/orchestkit 143
presentation-builder Creates zero-dependency, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web slides, or create a slide deck for a talk, pitch, or tutorial. Generates single self-contained HTML files with inline CSS/JS.
yonatangross/orchestkit 143
prioritization Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.
yonatangross/orchestkit 143
product-analytics A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
yonatangross/orchestkit 143
product-frameworks Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.
yonatangross/orchestkit 143
python-backend Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.
yonatangross/orchestkit 143
quality-gates Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.
yonatangross/orchestkit 143
rag-retrieval Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.
yonatangross/orchestkit 143
glance-test Run E2E browser tests on any web application using Glance MCP. Use when the user says "test this page," "check this URL," "run E2E tests," "browser test," "test the login flow," "check if the site works," "visual regression," or "screenshot this page." Also use for post-deploy verification and smoke tests.
DebugBase/glance 139
adr Architecture Decision Record skill for documenting significant architectural decisions with context, options, and consequences. Use during the Research phase when choosing between approaches, or whenever the user asks to document an architectural decision.
irahardianto/awesome-agv 129
code-review Structured code review protocol for inspecting code quality against the full rule set. Use when auditing code written by yourself or another agent, during the /audit workflow, or when the user asks for a code review.
irahardianto/awesome-agv 129
debugging-protocol Comprehensive protocol for validating root causes of software issues. Use when you need to systematically debug a complex bug, flaky test, or unknown system behavior by forming hypotheses and validating them with specific tasks.
irahardianto/awesome-agv 129
frontend-design Generates distinctive, production-grade frontend interfaces and artifacts (React, Vue, HTML/CSS). Prioritizes bold aesthetics, unique typography, and motion to avoid generic designs. Use when building websites, landing pages, dashboards, posters, or when the user requests to style, beautify, or create visually striking UI.
irahardianto/awesome-agv 129
guardrails Pre-flight checklist and post-implementation self-review protocol. Use before generating any code (pre-flight) and after writing code but before verification (self-review) to catch issues early.
irahardianto/awesome-agv 129
mobile-design Generates distinctive, production-grade mobile interfaces for Flutter and React Native. Prioritizes platform-native patterns, adaptive layouts, and fluid motion. Use when building mobile apps, screens, widgets, or when the user requests to style or create visually striking mobile UI.
irahardianto/awesome-agv 129
perf-optimization Profile-driven performance optimization protocol. Use when profiling data (CPU, heap, trace) is available or when the user requests performance analysis. Covers methodology, pattern catalog, safety invariants, and when-to-stop heuristics. Language-specific tooling is in languages/*.md.
irahardianto/awesome-agv 129
sequential-thinking Performs dynamic, reflective problem-solving through iterative thought chains. Use for complex planning requiring revision, branching, backtracking, or hypothesis verification. Ideal for multi-step analysis where context maintenance is required or the full scope isn't initially clear.
irahardianto/awesome-agv 129
promptfoo-evals Creates or updates promptfoo evaluation suites (promptfooconfig.yaml, prompts, tests, assertions, providers). Use when adding eval coverage, debugging regressions, or scaffolding a new eval matrix.
promptfoo/promptfoo 19,949