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Retrieve concise Genebass summaries linking a selected gene's variant group to traits across a broad association scan. Specify one Ensembl gene ID, choose a variant group, and control result counts, with optional JSON output.
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Retrieve public eQTL Catalogue association data, linking genes and genetic variants, along with study metadata. Filter requests to specific identifiers and receive concise Markdown summaries or raw JSON when machine-readable output is requested.
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Review Apache Pinot changes against naming and API conventions, including public names, method signatures, REST endpoints, JSON fields, and documentation. Use it when adding or renaming elements exposed to other code or users.
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Search Google images through Serper.dev and collect candidate image URLs, page links, titles, and source domains. Choose URL-only output or save raw JSON results, with country and language preferences available.
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Accept screenshot baseline changes by running the project's dedicated script, then commit the updated version.json using the project's commit conventions. This provides an explicit command for recording changes to the screenshot comparison baseline.
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Adjust how AI agents generate workflows in cc-wf-studio by reviewing node descriptions, examples, and misleading constraints. The skill guides minimal schema edits, format regeneration, and testing to address biased node choices.
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Turn CSV, JSON, or a written conclusion into a newspaper-style chart for video clips or social posts. Produce a single HTML file with line, bar, or range-band charts, clear headlines, source notes, and staggered animation.
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Turn JSON data into browser-ready infographics with metric cards, grouped bar charts, process diagrams, or mixed dashboards. Outputs include all styling and SVG graphics in one HTML file, with preset palettes and icons and no external dependencies.
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Turn API documentation, SDKs, or existing scripts into reusable command-line tools for Codex. Build focused read and write commands, stable JSON output, authentication checks, and a companion skill explaining how future sessions should use the tool.
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Generate JSON-LD structured data, code that describes page content to search engines, for FAQ, HowTo, Article, Product, LocalBusiness, or combined schemas. Check Google requirements and get guidance on adding the markup to a page.
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Retrieve HTML or JSON from URLs through Browserbase without starting a browser session. Inspect HTTP status codes and response headers, control redirects, and enable proxies for static page retrieval and simple content collection.
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Measure how quickly a host or DPU CPU installs and deletes DOCA Flow rules. Choose a JSON workload and backend, run repeated benchmarks, and record hardware, software, and execution settings so results can be assessed.
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Monitor KERMT jobs running in the background by reading run records, Docker container status, and logs. Summarize training progress and validation metrics, stream logs, or report final test metrics when a finetune run completes successfully.
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Check one DICOM medical imaging series before conversion or AI inference by inspecting headers only. Produce a JSON report with file inventory, image orientation, personal information flags, findings, and a pass, warn, or fail verdict.
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Erstellt oder überarbeitet einen Skill FÜR DIESES ÖKOSYSTEM: delegiert die generische Interview-/Entwurfs-/Eval-Schleife an das offizielle skill-creator-Plugin (Anthropic, Apache-2.0), setzt aber zusätzlich die ellmos-Anforderungen durch, die das offizielle Plugin nicht kennt — Haus-Frontmatter (9 Felder), Kategorie/Sichtbarkeits-Regeln, anbieter-/nutzer-/ellmos-neutrale aber ellmos-sensitive Erkennung via grounding-seed, mitgelieferte config.json (inkl. Lernvertrag) + connections.json, Anbieter-/Vendor-Bewusstsein (State-of-the-Art-Alternativen inkl. eigener ellmos-Komponenten vorschlagen), einen Selbstaktualisierungs-Abschnitt UND einen wiederverwendbaren Lern-/Abdeckungs-Dateisatz (user-usecases.json, usecase-gaps.json, known-providers-and-abilities.json, gap-closing-analysis.json — an skill-creators evals.json und A2A/AgentSkill angelehnt, kein Parallelstandard). IMMER nutzen, wenn ein NEUER Skill für dieses System entstehen oder ein bestehender auf ellmos-Konformität nachgerüstet werden soll — auch bei "erstelle einen Skill", "bau mir einen Skill für X", "skill-creator nutzen", "neuen Skill anlegen", "diesen Skill ellmos-konform machen", "Lernvertrag/Verhaltenscodex für einen Skill anlegen", "Usecase-Abdeckung eines Skills prüfen". Für reines Skill-FINDEN/ROUTEN stattdessen skill-finder, für Landschafts-Audit skill-explorer.
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在Parallels的macOS虚拟环境中，验证安装、Discord消息发送、主机回复及客户机读取的完整流程，确认双向通信是否成功。
通过ordercli查看Foodora历史订单、进行中订单的状态和到达信息。可持续监控订单、获取详情，并预览和确认将历史订单商品加入购物车。
汇集使用Kotlin和Ktor构建HTTP服务器的结构与实现示例，涵盖API路由、认证、JSON转换、组件组装、双向通信及集成测试。
根据代理工作记录和词元数量，整理每项已完成成果及返工的费用，区分估算金额与实测支出，并生成附有依据的 HTML、JSON 和 CSV 报告。
读取Excel和CSV数据，检查结构并进行汇总、统计摘要和跨文件合并，支持月度比较与排名，结果可导出为CSV、JSON或Markdown。
读取已声明的MCP服务器和工具配置，静态检查权限、策略及依赖问题，输出检查结果，并可按问题严重程度设置使CI检查失败的条件。
用一条命令比较已保存的审计与当前仓库的新审计，检测结构相似度低于指定阈值的变化，并通过比较报告和退出码告知结果。
试运行一轮销售智能体流程，在正式使用前验证模板与智能体类型、检查预算预留，并查看各角色的指令和执行状态记录。
Audit publication and update dates on articles and blog posts. Add visible dates and structured metadata, information search engines can read, and check that modification dates reflect meaningful content changes rather than routine deployments.
中文简介正在准备中。当前显示英语简介。