Design a product metrics dashboard with North Star metric, input metrics, health metrics, and alert thresholds
Perform Five Forces analysis — competitive rivalry, supplier power, buyer power, threat of substitutes, and threat of new entrants.
Tavily API ile güvenli web arama ve URL içerik çıkarma yap. Use when: hızlı web araştırması, kaynaklı sonuç toplama, belirli URL'lerden metin çekme ve özetleme gerektiğinde.
Core big data processing toolkit for data teams. Includes Polars, Dask, Vaex for large-scale data processing, ETL pipelines, and distributed computing.
Use when writing, reviewing, or adapting a Claude Code skill for sale on PromptBase — checking scope, audience breadth, rejection risk, description quality, examples, and setup…
Use when the user wants an 8-expert or multi-expert roundtable, multi-perspective strategic analysis, consulting-style decision report, expert challenge session, pyramid-principle…
Fully automated design workflow: PRD → Stitch prototype → Icon/Logo → Code translation. All steps automated end-to-end. User touches nothing.
Docker and Kubernetes workflows for containerization. Use for building containers, orchestration, and cloud-native deployments.
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names.
Use when building real-time features in FastAPI — choosing between WebSockets and SSE, implementing connection management, scaling broadcasts across workers with Redis, or…
自动迭代优化框架：改一个东西 → 打分 → 好的留 → 差的扔 → 再改下一个。 不限于 ML — 任何能打分的东西都能自动优化（代码、内容、配置、prompt、skill、定价策略）。 触发条件：用户说"帮我优化"、"自动迭代"、"跑实验"、"对比方案"、"调优"、 "自动改进"、"autoresearch"、"不断尝试"、"打分迭代" — from…
Machine learning toolkit for big data teams. Includes scikit-learn, PyTorch Lightning, Transformers, SHAP for model training, deployment, and interpretation.
Use when choosing a deployment strategy for a release, setting up canary or blue/green rollouts, adding feature flags to decouple deployment from release, coordinating a…
Build a throwaway prototype to flush out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several…
Search the web using multiple search engines simultaneously (Bing, Yahoo, Startpage, Aol, Ask) via async-search-scraper, iterating through result pages.
Use when building a RAG pipeline that ingests PDFs, Excel, CSV, or images — especially when debugging silent data loss, choosing between OCR tools, or handling edge cases like…
Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns.
Data visualization toolkit for big data teams. Includes Matplotlib, Seaborn, Plotly for static and interactive charts.
Build a persistent visual brand identity for image generation. Defines how the brand looks visually — aesthetic, lighting, composition, mood — and writes it to…
Use when building, wiring, or debugging an Agentex agent — choosing agent type, configuring acp.py and manifest.yaml, using adk.messages or adk.state, or resolving…
Use when writing Playwright E2E tests for critical user journeys, setting up post-deployment smoke tests, debugging flaky browser automation, or implementing BDD feature files…
Use when building or debugging OpenAI Agents SDK workflows — defining agents with tools and handoffs, wiring typed context, streaming responses, adding guardrails, or integrating…
Automated test-driven debugging pipeline. Replaces human-in-the-loop 'still broken' prompting with: write reproducing test -> self-loop with test feedback -> exit when green.
Use when installing or configuring memory_map, writing CLAUDE.md session-setup instructions, choosing what to save in memory vs history, managing cross-project memory, tuning…
Use when searching across both Chinese and international sources simultaneously (17 engines: 8 CN + 9 Global).
自动迭代优化框架：改一个东西 → 打分 → 好的留 → 差的扔 → 再改下一个。 不限于 ML — 任何能打分的东西都能自动优化（代码、内容、配置、prompt、skill、定价策略）。 触发条件：用户说"帮我优化"、"自动迭代"、"跑实验"、"对比方案"、"调优"、 "自动改进"、"autoresearch"、"不断尝试"、"打分迭代" — from…
Use when: decision-making, strategy, risk assessment, problem analysis, growth planning, or when the user asks 'which framework/model should I use'.
> PIPELINE (sequential execution, A->B->C) | 栋哥商业诊断工具箱: 商业模式诊断 + 对标分析 + 内容创作 + 执行力 + 概念拆解
Use when publishing a 深度学习系列 episode (deep-learning topic deep-dive — interview / paper / framework / debate) end-to-end with editorial polish.
This skill upgrades reflection from \"append another note\" to a compact learning system:
Use when: user needs internal control evaluation, process audit, fraud
Use when: understanding business scenarios, identifying tax-related
Use when: client needs tax optimization strategy, comparing tax burden
Use when: evaluating tax compliance risk, benchmarking financial indicators
HTTP caching, service workers, cache invalidation, and CDN configuration.
Use when: risk identification, compliance checking, Golden Tax IV alerts,
Use when: generating compliance checklists, monthly/quarterly/annual
Use when: tax type determination, tax rate application, tax filing,