技能雷达 · GITHUB
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
- 1,033
- 仓库
- 142
- 最近同步
- 2026年8月31日
addyosmanishipping-and-launch
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
- 安装量
- 300
- GitHub Stars
- 9.1万
- 最近更新
- 8月28日
warpdotdevskill-doctor
Grades agent skills by scoring agent conversations against efficiency and code-quality rubrics, then drafts concrete skill edits and a shareable report. Use when the user wants their agent setup graded from real conversation history, or asks which of their installed skills are actually working.
- 安装量
- 294
- GitHub Stars
- 483
- 最近更新
- 8月30日
jakubkrehelbetter-colors
Helps you build a color system and answer anything about color in your project. You can generate palettes, use semantic tokens, convert between formats, check contrast and more.
- 安装量
- 293
- GitHub Stars
- 4653
- 最近更新
- 8月29日
jakubkrehelbetter-layout
Helps with grouping, alignment, reading order, progressive disclosure and other details that make a good layout.
- 安装量
- 293
- GitHub Stars
- 4653
- 最近更新
- 8月29日
skills-101gpt-image
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
- 安装量
- 293
- GitHub Stars
- 11
- 最近更新
- 8月3日
skills-101seedance
Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video with synchronized audio, up to 1080p, 4-15s duration. Pro and Fast variants. Studio variants with private asset library for portrait consistency. Use for: social media videos, music videos, product demos, animated content, AI video with sound. Triggers: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio, seedance 2.0, bytedance seedance, seedance studio
- 安装量
- 292
- GitHub Stars
- 11
- 最近更新
- 8月3日
addyosmaniconstraint-driven-development
Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.
- 安装量
- 290
- GitHub Stars
- 9.1万
- 最近更新
- 8月28日
skills-101happyhorse
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor
- 安装量
- 290
- GitHub Stars
- 11
- 最近更新
- 8月3日
skills-101p-image
Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation
- 安装量
- 290
- GitHub Stars
- 11
- 最近更新
- 8月3日
skills-101p-video
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
- 安装量
- 290
- GitHub Stars
- 11
- 最近更新
- 8月3日
skills-101p-video-avatar
Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative
- 安装量
- 290
- GitHub Stars
- 11
- 最近更新
- 8月3日
dietrichgebertponytail-review
Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Use when the user says "review for over-engineering", "what can we delete", "is this over-engineered", "simplify review", or invokes /ponytail-review. Complements correctness-focused review, this one only hunts complexity.
- 安装量
- 286
- GitHub Stars
- 11.8万
- 最近更新
- 8月7日
jakubkrehelbetter-accessibility
Helps your project comply with accessibility standards and best practices.
- 安装量
- 284
- GitHub Stars
- 4653
- 最近更新
- 8月29日
clerkclerk-testing
E2E testing for Clerk apps. Use with Playwright or Cypress for auth flow tests.
- 安装量
- 283
- GitHub Stars
- 69
- 最近更新
- 8月31日
jakubkrehelbetter-interface
Combines all of the better- skills into a single review across accessibility, layout, writing, typography, color and UI polish.
- 安装量
- 281
- GitHub Stars
- 4653
- 最近更新
- 8月29日
jakubkrehelbetter-writing
Focuses on improving product copy in your project.
- 安装量
- 278
- GitHub Stars
- 4653
- 最近更新
- 8月29日
dietrichgebertponytail-audit
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.
- 安装量
- 268
- GitHub Stars
- 11.8万
- 最近更新
- 8月7日
usestrixpenetration-testing-with-strix
Pentest a web app, API, codebase, repository, URL, domain, or IP with Strix — autonomous AI penetration testing that exploits and proves vulnerabilities (OWASP Top 10 and beyond — injection, XSS, SSRF, auth/access-control flaws, IDOR, business logic) instead of just flagging them. Runs self-hosted with the open-source CLI or via the managed app.strix.ai cloud, and returns validated findings with proof-of-concept exploits (Markdown, JSON, CSV, SARIF). Use when the user asks to pentest, hack, security-scan, security-audit, or find vulnerabilities in an app, API, website, or repo.
- 安装量
- 252
- GitHub Stars
- 6万
- 最近更新
- 8月31日
dietrichgebertponytail-debt
Harvest every ponytail: comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.
- 安装量
- 249
- GitHub Stars
- 11.8万
- 最近更新
- 8月7日
flutterflutter-apply-architecture-best-practices
Architects a Flutter application using the recommended layered approach (UI, Logic, Data). Use when structuring a new project or refactoring for scalability.
- 安装量
- 248
- GitHub Stars
- 2893
- 最近更新
- 8月29日
flutterflutter-build-responsive-layout
Use LayoutBuilder, MediaQuery, or Expanded/Flexible to create a layout that adapts to different screen sizes. Use when you need the UI to look good on both mobile and tablet/desktop form factors.
- 安装量
- 247
- GitHub Stars
- 2893
- 最近更新
- 8月29日
magentoshagent-browser
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
- 安装量
- 244
- GitHub Stars
- 0
- 最近更新
- 8月3日
usestrixweb-app-penetration-testing
Pentest a web app or website end to end — black-box testing of a live URL, staging environment, or local dev server that finds and exploits real vulnerabilities (auth bypass, broken access control, IDOR, injection, XSS, SSRF, business logic) and proves each one with a working proof-of-concept instead of a signature match. Runs with Strix, either the self-hosted open-source CLI or the managed app.strix.ai cloud. Use when the user asks to pentest, hack, security-test, or audit their web app, website, web application, or staging site.
- 安装量
- 243
- GitHub Stars
- 6万
- 最近更新
- 8月31日
dietrichgebertponytail-gain
Show ponytail's measured impact as a compact scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display, not a persistent mode, and not a per-repo number. Trigger: /ponytail-gain, "ponytail gain", "what does ponytail save", "show ponytail impact", "ponytail scoreboard".
- 安装量
- 242
- GitHub Stars
- 11.8万
- 最近更新
- 8月7日