AGENT SKILLS · 任务装备

值得安装的 Agent Skills

汇总公开仓库中已验证的 Skills。安装前先看清它能做什么、包内包含什么、热度如何，以及来源是否可靠。

目录范围: 已验证
Skills: 17,520
仓库: 2843
最近同步: 2026年10月20日

17,520 Skills

startup-canvas

Generate a Startup Canvas combining Product Strategy (9 sections) and Business Model (costs + revenue) for a new product. An alternative to BMC and Lean Canvas that separates strategy from business model. Use when launching a new product or evaluating a startup concept.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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summarize-interview

Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview summaries.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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summarize-meeting

Summarize a meeting transcript into structured notes with date, participants, topic, key decisions, summary points, and action items. Use when processing meeting recordings, creating meeting notes, writing meeting minutes, or recapping discussions.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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test-scenarios

Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes. Use when writing QA test cases, creating test plans, defining acceptance tests, or preparing for feature validation.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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user-stories

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining acceptance criteria.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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value-proposition

Design a detailed value proposition using a 6-part JTBD template — Who, Why, What before, How, What after, Alternatives. Use when creating a value proposition, analyzing customer value delivery, or articulating why customers should choose your product.

安装量: 2
GitHub Stars: 2.7万
最近更新: 9月14日

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glassmorphism

Frosted glass effect with translucent layers, subtle blur, and luminous borders for depth and modern elegance.

安装量: 2
GitHub Stars: 2922
最近更新: 6月28日

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spartan

- Manages spartan/ui, the Angular UI library - adding, composing, fixing, debugging, and styling UI with the Brain (headless primitives) and Helm (styled) layers. Provides project context, component APIs, and usage examples. Applies when working with spartan/ui, @spartan-ng/brain, @spartan-ng/helm, the @spartan-ng/cli generators, or any Angular project with a components.json file. Also triggers for "spartan init", "add a spartan component", or "set up spartan/ui".

安装量: 2
GitHub Stars: 2920
最近更新: 9月22日

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agent-orchestration

Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.

安装量: 2
GitHub Stars: 284
最近更新: 9月25日

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domain-driven-design

DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure.

安装量: 2
GitHub Stars: 284
最近更新: 9月25日

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zustand-patterns

Reference for Zustand 5.x state management including slices, middleware, Immer, useShallow, persistence, selectors, and devtools integration. Documents 7 core patterns with TypeScript examples and anti-patterns. Use when building React state management with Zustand instead of Redux.

安装量: 2
GitHub Stars: 284
最近更新: 9月25日

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cross-gcc

Cross-compilation with GCC skill for embedded and multi-architecture targets. Use when setting up cross-gcc toolchains, configuring sysroots, building for ARM/AArch64/RISC-V/MIPS from an x86-64 host, troubleshooting wrong-architecture errors, or running cross-compiled binaries under QEMU. Activates on queries about cross-compilation triplets, sysroot, pkg-config for cross builds, embedded toolchains, or Yocto/Buildroot integration.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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device-drivers

Linux device driver skill for kernel driver development. Use when writing platform/i2c/spi drivers, char device lifecycle, IRQ handling, DMA engine API, regmap, power management, or udev rules. Activates on queries about platformdriver, requestirq, dmaalloccoherent, regmap, pmruntime, or char devices.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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device-tree

Device tree skill for Linux hardware description. Use when writing DTS/DTSI, bindings, overlays, phandles, or debugging OF platform probe failures. Activates on queries about device tree, DTS syntax, phandle, devicetree bindings, DT overlay, or OF graph.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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kernel-debugging-advanced

Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis. Use when tracing kernel functions, profiling syscalls in kernel, dynamic instrumentation, or analyzing vmcore. Activates on queries about ftrace, trace-cmd, kprobe, kgdb, kernel crash dump, or dyndbg.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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linux-kernel-architecture

Linux kernel architecture skill for subsystem overview. Use when navigating kernel source, understanding boot flow, initcalls, or major subsystems (VFS, scheduler, MM). Activates on queries about kernel architecture, boot process, initcall levels, subsystem layout, or where code lives in linux.git.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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platform-device-model

Platform device model skill for Linux driver binding. Use when implementing platformdriver probe/remove, sysfs attributes, device properties, or deferred probe. Activates on queries about platformdevice, platformdriver, driver model, sysfs, probe remove, or Linux device bus.

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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qemu-for-kernel-development

QEMU kernel development skill for driver and kernel testing. Use when booting custom kernels in QEMU, Buildroot/Yocto rootfs, virtio devices, or NFS root for driver iteration. Activates on queries about QEMU kernel dev, Buildroot QEMU, virtio block, kernel module test QEMU, or -append root=

安装量: 2
GitHub Stars: 231
最近更新: 6月27日

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humanizer-ru

Редактор русского текста - убирает признаки AI-генерации, канцелярит и воду, сохраняя факты и добавляя голос. 38 паттернов AI-слопа с жёсткими запретами (негативные параллелизмы, длинное тире, математические знаки, техножаргон), детерминированным линтером и детектом артефактов копипаста из чат-ботов. Use when пользователь просит "отредактируй", "убери воду", "сделай живым", "humanize", "очисти от AI", "перепиши человечнее", говорит что текст "звучит как нейросеть", готовит AI-черновик к публикац

安装量: 2
GitHub Stars: 175
最近更新: 9月23日

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scenario-orbit-views

Use when a single image of a character, creature, prop, vehicle, or building must be seen from new camera angles through the Scenario MCP server: turnarounds, a 360 orbit, views from behind, above, below, or straight down, consistent multi-angle renders on the same grounded background or on transparency, or novel views that go through a 3D intermediary instead of guessing.

安装量: 2
GitHub Stars: 122
最近更新: 9月25日

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add-cucumber-tests

Generates Tzatziki-based Cucumber BDD tests (.feature files) from a functional specification. Use this skill whenever a user wants to write Cucumber tests, add BDD scenarios, create feature files, generate tests, or test application behaviors with Gherkin — especially in Java/Spring projects using Tzatziki step definitions for HTTP, JPA, Kafka, MongoDB, OpenSearch, logging, or MCP. Also use when the user mentions writing integration tests, acceptance tests, or end-to-end tests in a project that

安装量: 2
GitHub Stars: 87
最近更新: 9月21日

Apache-2.026 文件

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tencentcloudbase

ai-model-nodejs

Use this skill for Node.js backend AI via @cloudbase/node-sdk (=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage). Text via ai.createModel with groups cloudbase, hunyuan-exp, or custom-; model ids (e.g. deepseek-v4-flash, glm-5, kimi-k2.6) go in the model field of generateText/streamText. MUST run two-step preflight before code — see body. NOT f

安装量: 2
GitHub Stars: 77
最近更新: 9月24日

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tencentcloudbase

ai-model-web

Use this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-, model id in the model field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mi

安装量: 2
GitHub Stars: 77
最近更新: 9月24日

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tencentcloudbase

ai-model-wechat

Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-; model id goes in the data wrapper model field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js

安装量: 2
GitHub Stars: 77
最近更新: 9月24日

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