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Discover AI Agent Skills
Find, share, and deploy reusable skills for your AI agents
npm i -g skhub
Use when defining field mappings for data streams, populating ecs.yml with ECS field references, selecting ECS categorization values, choosing custom field types, or troubleshooting mapping validation failures.
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查询中国各地实时天气和天气预报,包括温度、湿度、风速、空气质量等信息。Use when users ask about weather conditions, forecasts, or climate information for locations in China.
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Generate JavaScript client-side form scripts for Frappe DocTypes. Use when creating form customizations, field validations, custom buttons, or client-side logic for Frappe/ERPNext forms.
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Converts engineering analytics (PR / CI) data into saved PostHog insights, dashboards, and subscriptions, and explains how to query the product data directly with SQL. Covers discovering per-team GitHub warehouse tables via engineering-analytics-sources, replicating curated column semantics in HogQL, reading exposed engineering_analytics_* warehouse views where product logic is involved (CI cost, fingerprinted failure lines, commit attribution), saving queries with insight-create, and scheduling delivery with subscriptions-create. Use when asked to "save this as an insight", "put CI health / merge times on a dashboard", "email me PR throughput weekly", "chart CI cost", "track time to first review", "subscribe to these numbers", "alert on CI success rate", or "what data/tables/views does engineering analytics read". For ad-hoc CI and merge questions use diagnosing-ci-and-merge-bottlenecks; to investigate one specific CI failure use investigating-ci-failures.
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Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
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Define, instrument, and analyze product metrics, KPIs, dashboards, OKRs, retention, and growth.
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Route Arduino and embedded-system requests across Arduino IDE, Arduino CLI, PlatformIO, and vendor-specific tools. Use when a request combines firmware, board constraints, electronics, power, networking, calibration, enclosure, upload, debugging, OTA, or maintenance, or when the exact board or toolchain is not yet clear.
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Generate, customize, and export barcodes in React using Syncfusion BarcodeGenerator. Trigger for requests involving Code39 or Code128 barcodes, QR codes, Data Matrix generation, barcode styling (size, color, text, margins), React component setup, props or events, SVG or canvas rendering, and exporting or printing barcode images.
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Chart pattern identification — head and shoulders, double tops, triangles, flags. Documents pattern library with entry/exit criteria.
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box when cloning, updating, listing, or searching an external git repository from its real local source.
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Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals.
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医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。
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Research agent for external documentation, best practices, and library APIs via MCP tools
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当用户需要检索候选论文、建立可审计文献池或为下游证据任务准备候选文献时使用。也适用于 research-literature-review 的检索依赖。
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Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
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When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'pipeline metrics,' 'TTFV,' 'time-to-first-value,' 'data health,' 'attribution,' 'conversion rate,' 'CAC,' 'LTV,' 'NRR,' 'GTM dashboard,' 'magic number,' 'pipeline velocity,' or 'funnel metrics.' This skill covers GTM measurement from metric selection through dashboard design, including AI-specific cost metrics, attribution models, and weekly review cadences. Do NOT use for technical implementation, code review, or software architecture.
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Create publication-quality scientific diagrams using Nano Banana Pro AI with iterative refinement. AI generation is the default method for all diagram types. Generates high-fidelity images with automatic quality review. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
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Use when the user asks to "map what our surfaces say today", "inventory our current messaging", or "find the gap between what we say and what we mean"; produces the narrative baseline — a surface-by-surface inventory of what every owned touchpoint (homepage, pricing, docs, decks, social bios, email footers) claims RIGHT NOW, each line labeled Measured / User-provided / Estimated, plus a per-surface gap read vs the intended message and the drift-baseline snapshot the Evaluate phase measures future drift against. Not for authoring the canon — use message-system-architect; not for scoring the surfaces or running the vetoes — use narrative-quality-auditor. 现状叙事盘点/各触点口径/意图差距/漂移基线
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