热门 Agent Skills
2104 个技能Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away.
runpod-flash 是一种代码优先的无服务器开发工具，可让您在本地编写 Python 代码，在远程 Runpod GPU/CPU 上运行，并通过 flash dev 和 flash deploy 进行迭代和部署。
Get a fast, cheap, typed judgment over text or JSON from the jev CLI — a yes/no probability, one choice among labels, or an ordinal score — bare calibrated answers, never prose or explanations.
Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief.
Golang skills orchestrator — always active on any Golang coding, review, debug, or setup task.
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
Use for \"automate me\", \"create/update/refresh my -mode skill\", \"turn/capture my preferences or working style into a skill\", or wanting agents to follow how the user works.
Comprehensive guide to stretchr/testify for Golang testing.
Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev - search by meaning, not keywords, no Reddit OAuth or app registration needed.
Three.js scene setup: scenes and fog, cameras, the renderer and tone mapping, the animation loop, object hierarchies, transforms, core math and cleanup, on WebGL or with WebGPU and TSL.
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
Add Stripe billing/payments to the Convex app via @convex-dev/stripe (checkout + webhook + gating).
Golang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/inline/fill/rewrite code actions), formatting, and generated tests.
Add authentication (passkeys/OAuth) to the current Convex app, including the auth.config.ts wiring.
Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI.
Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax.
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up.
Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).
Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review.
Generate videos with Pruna P-Video and WAN models via inference.sh CLI.
Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files.
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI.
Audit and optimize an existing Convex app: security, scale, upgrades, observability.
Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
运行 `dart analyze` 识别警告和错误，并使用 `dart fix --apply` 自动解决机械性 lint 问题，以在开发期间和提交前确保代码质量。
为短视频、图文和文章生成或修改文字标题、封面文字和视频开头。先按稿件与拍摄状态把素材扩展成面向不同人群的选题供用户挑选，并询问能让观众相信作者的经历或数字，再一屏交付小红书、B 站、抖音、视频号的标题、封面与开头。用户要写标题、封面文字、开头、冷开场或多平台适配时使用；不生成封面图片、视频章节导航或发布风险声明。
使用 Deepline 技能构建、丰富、审计并上传 B2B 付费广告受众到 Google Customer Match、Meta/Facebook 自定义受众或 LinkedIn 匹配受众。
优化 TextMeshPro 字体堆栈、动态回退图集、内边距与采样比、SDF16、AutoSize 纪律、世界空间与 UGUI，以及内存分析器字体数据捕获。