| 需求補洞助手(探路模式)— 專用於「白紙一張、還沒有 PRD」的場合:站在 PM、UIUX、 Backend、Frontend、QA 五個角色,掃描需求的缺漏、容易誤解的敘述、沒考慮到的 Edge Case, 以及開發前一定要確認的問題,把還沒想到的東西攤開。 ✅ 適用場合(符合任一才觸發): 當使用者說「幫我找需求缺漏」、「這個需求有什麼沒想到的」、「補洞」、「盤點 Edge Case」、 「這是白紙設計,幫我掃一輪」、「find gaps」、「what am I missing」時,觸發此 skill。 ❌ 不適用(改用別的 skill): 的 Gap Analysis 與 Definition of Ready,不要用本 skill 這個 skill 只負責「發散——把問題找出來」,不做格式檢查、不寫 PRD、不替使用者做決定。
npx skills add https://github.com/skinnerlee1225/enterprise-prd-toolkit --skill requirement-gap-finder
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take skinnerlee1225/requirement-gap-finder from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.