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Build effective study habits with spaced repetition, active recall, and session tracking

Transform predictable story elements into fresh, original versions. Use when something feels generic, when feedback says "I've seen this before," when elements…

Component architecture, design patterns, state management strategies, module systems, build tools, and scalable application structure

Create the perception of cultural depth through strategic juxtaposition of familiar and unfamiliar elements. Use when settings feel shallow, when you need…

AI-powered image editing with style transfer and object removal

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a…

Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs…

Battle-tested Playwright patterns for writing and debugging reliable E2E, API, component, visual, accessibility, and security tests. Use when you need locator…

控除証明書（生命保険料・地震保険料等）の画像を読み取り構造化データを返す。 他のスキルから呼び出されるほか、直接ユーザーが呼び出すことも可能。

Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.

Python development guidelines and best practices. Use when working with Python code.

Guide competency framework development and operation. Use when building training that produces capability, when existing training doesn't produce competence,…

Generate and evaluate marketing slogans and taglines for any product or service. Use when naming a campaign, need a tagline for branding, or want scored slogan…

Expert talent acquisition covering recruiting strategy, candidate sourcing, interview design, employer branding, and hiring analytics. Use when building job descriptions, designing interview scorecards, analyzing hiring funnels, drafting sourcing outreach, structuring compensation bands, or improving offer acceptance rates.

Grafana Tempo distributed tracing backend. Covers TraceQL query language (span selectors, attribute scopes, pipeline operators, structural operators, metrics functions), trace ingestion via OTLP/Jaeger/Zipkin, Tempo architecture (distributor/ingester/compactor/querier/metrics-generator), full configuration reference with YAML, metrics-from-traces (span metrics, service graphs, TraceQL metrics), deployment modes (monolithic/microservices/Helm/Kubernetes), multi-tenancy, performance tuning, caching, and HTTP API. Use when working with distributed traces, writing TraceQL queries, deploying Tempo, configuring trace pipelines, or setting up Grafana-Tempo integrations (traces-to-logs, traces-to-metrics, traces-to-profiles).

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic…

Automates browser interactions for testing and validating your own web applications using playwright-cli. Use when you need terminal-first browser control for…

Grafana Beyla eBPF auto-instrumentation for application observability without code changes. Covers supported languages/runtimes, requirements, installation, configuration (discovery, eBPF settings, OTLP traces export, Prometheus metrics export), Kubernetes deployment, and integration with Grafana Cloud. Use when setting up zero-code instrumentation, configuring eBPF probes, deploying Beyla to Kubernetes, connecting to Tempo/Prometheus, or troubleshooting instrumentation issues.

Lark/Feishu API for collaboration. Use when user mentions "Lark", "Feishu",

通过 OpenAPI/SDK 管理阿里云 Data Lake Formation (DlfNext)。当用户需要进行 DLF Next 目录/治理资源操作时使用，包括…