开发技能

当用户明确要求审查 GitHub PR、评估是否合并或判断 PR 应如何处理时使用。对 PR 做只读、证据驱动的方案与风险评估，并给出合并建议。⚠️ 不适用：直接修改、合并 PR，或在本地执行不可信 PR 代码。

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用于遇到缺陷、测试失败或异常行为，且必须在提出修复方案前调查根因的场景。未经根因分析不得只修复表象。

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当用户需要将生产 Skill 安装或更新到系统级目录，或需要创建、检查、更新统一的 benszapi Conda 运行环境与其中的 BSK 等托管 Python 工具时使用。默认处理 alpha；只有用户明确指定时才处理 beta；支持 72 小时 TTL 到期后的静默增量更新。

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为 GitHub 项目创建或改写高质量、可执行、证据驱动的双语 README；当用户要求写 README、项目说明或整理项目首页时使用。优先依据项目事实核验功能、命令和链接。

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当主要交付物是基于 R 的数据分析流程、科学结果、可复现数据产品、R Markdown/HTML 报告或论文级图表与解读时使用；即使流程中包含 `.R` 脚本和仅服务当前分析的辅助函数，也由本 Skill 主导。⚠️ 不适用：主要交付物是可独立复用的 R 函数、稳定公共 API、类或 R Package；这些任务使用 bensz-r-developer。也不用于仅渲染既有 Rmd 或其它语言的数据分析。

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当用户明确要求"使用 brainstorming"或"使用 awesome-code"时使用。⚠️ 不适用：用户只是想优化/改进某个功能（应直接修改）、只是询问技能问题（应直接回答）、没有明确使用 brainstorming/awesome-code 的一般性开发。

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当主要交付物是可复用的 R 函数、稳定 API、S3/S4/R6 类或 R Package，需要设计、开发、重构或审查其接口、测试、文档、并行与性能边界时使用。分析项目中只有需要跨分析复用或形成公共 API 的组件才进入本 Skill。⚠️ 不适用：主要交付物是数据分析流程、科学结果、R Markdown 报告或仅服务当前分析的辅助函数；这些任务使用 bensz-rmd-rules。

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后端开发专家。精通 Node.js/Python/Go/Rust 等后端技术栈，专注于 API 设计、数据库优化、认证授权、微服务架构和性能调优。用于后端服务开发、API 设计和系统架构。

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Knit/render R Markdown (.Rmd) to HTML reliably in this repo (auto-bootstrap pandoc, set correct knit_root_dir, and run rmarkdown::render via a Python wrapper).

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当用户明确要求发布项目到 GitHub、创建 GitHub Release 或生成 Release Notes 时使用。根据版本历史整理发布说明；仅要求预览时不执行发布。

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Runs a list of HTTP checks against a base URL from a JSON file and reports status codes, response time and body assertions. Use when the user asks whether an API is up, wants a smoke test after a deploy, or needs to verify that endpoints return what the docs promise.

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Reviews code for common security flaws such as injection, broken authentication, unsafe deserialization, hardcoded secrets, path traversal and weak cryptography, and reports findings with severity and fixes. Use when the user asks for a security review, a pre-release audit or a check of code that handles user input, files or credentials.

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Finds common Python code smells with the ast module, such as bare except clauses, mutable default arguments, missing docstrings, very long functions and long argument lists. Use when the user asks for a quick review of Python code, a cleanup pass or a pre-commit style check.

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Compares two JSON files structurally and lists added, removed and changed values with their full paths. Use when the user asks what changed between two API responses, config files, fixtures or package manifests.

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Turns git log output into a grouped markdown changelog using conventional commit prefixes such as feat, fix and docs. Use when the user prepares a release, asks for release notes, or wants a summary of what changed between two tags.

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通过 agently-cli 命令行工具操作邮件：发送、回复、转发、搜索、读取、下载附件、管理收件箱。当用户需要进行任何邮件相关操作时使用此 skill。

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Query the Open Targets Platform GraphQL API for target-disease associations, genetic and clinical evidence, tractability and safety liabilities, target prioritisation metrics, known drugs and mechanisms of action, and disease ontology. Use this skill for target identification and validation, target-disease evidence review, druggability assessment, drug repurposing, and resolving gene, disease, and drug names to Ensembl, MONDO, and ChEMBL identifiers. Also trigger when a query mentions Open Targets, platform.opentargets.org, association scores, tractability buckets, or api.platform.opentargets.org.

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Plan synthetic routes and judge whether a proposed molecule can actually be made, using AiZynthFinder's Monte-Carlo tree search over template-derived reactions and a purchasable building-block stock. Use this skill to configure expansion and filter policies, choose a stock file, run route search over a candidate set, and read the returned trees — solved fraction, route depth, and which building blocks a route bottoms out in. Also trigger on AiZynthFinder, retrosynthetic tree search, synthetic accessibility, SAscore, RAscore, building-block stock, reaction template, or route scoring.

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Assemble the human genetic evidence for and against a target before a programme commits to it — the evidence class that most improves the odds of surviving clinical development. Use this skill to pull gnomAD constraint metrics (LOEUF, pLI, observed/expected) that show whether loss of function is tolerated in people, retrieve GWAS Catalog associations and fine-mapped credible sets for a gene, and read a natural human knockout as a safety readout. Also trigger on gnomAD, LOEUF, pLI, loss-of-function intolerance, mutational constraint, GWAS Catalog, credible set, human knockout, genetic support, or target safety dossier.

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Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.

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Add WebMCP tools to a website codebase so browser agents can act through the site's own logic instead of scraping the page. Use when asked to make a site agent-ready or WebMCP-ready, add WebMCP or document.modelContext tools, or implement site tools with @nekuda/webmcp-sdk.

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Connect a site's existing WebMCP tools to AgentLane without rebuilding them. Use when a codebase already registers document.modelContext tools — natively or through any SDK — and the developer wants them visible in AgentLane, migrated onto @nekuda/webmcp-sdk with durable stable keys and verified to behave exactly as before.

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Use for repo structure and symbol maps. Triggers: repo map, codebase overview, architecture map, 와꾸.

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Use for APIs, servers and app databases. Triggers: REST, GraphQL, migration, query optimization, middleware, caching, queues, 백엔드, API 작업, 마이그레이션, 쿼리 최적화.

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