人気上昇中の Agent Skills
2104 件のスキル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.
Diagnoses how to turn a confirmed topic into great content, offering format matching, five-dimension diagnosis, and actionable advice.
vgpu is a package for building and optimizing WebGPU apps, offering core APIs, scene helpers, and performance guides.
Build color systems for digital products, covering palette generation, theming, contrast measurement, and color auditing.
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.
Use a five-fold filter to find benchmarks worth imitating, filtering out noise caused by subject differences.
runpod-flash is a code-first serverless development tool that lets you write Python locally, run it on remote Runpod GPUs/CPUs, and iterate with flash dev and deploy with flash deploy.
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.
Diagnose execution paralysis using Adlerian psychology to uncover the real reasons behind procrastination, avoidance, and stalled action.
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.
Organize local drafts, tweets, topics, cases, and course scripts into a sustainable, recomposable content engineering system.
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).
A content publishing risk check for creators, pinpointing machine-detected signals and substantive issues sentence by sentence, with minimal fixes.
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.
Apply STRIDE methodology to systematically identify threats for system security analysis, threat modeling sessions, and security documentation.
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).
Recommends or accepts user-specified experts based on the topic, simulates multi-role dialogue, and summarizes disagreements for targeted chatrooms, expert discussions, or continuing an active chatroom.
Deepline Monitors are provider event feeds (job posts, email replies, funding, intent) that stream into your warehouse and trigger plays.
Explains how an interface effect was built by reading the layers that produce it, or reconstructs from a screenshot.
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.
Helps users find the right Azure RBAC role for an identity with least privilege access, then generate CLI commands and Bicep code to assign it.
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.
Run `dart analyze` to identify warnings and errors, and use `dart fix --apply` to automatically resolve mechanical lint issues, ensuring code quality during development and before committing.
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。
Use the Deepline skill to build, enrich, audit, and upload B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences.
Reconstruct documentation from code for legacy codebases where docs are missing, stale, or untrusted.
Optimize TextMeshPro font stacks, dynamic fallback atlases, padding and sampling ratios, SDF16, AutoSize discipline, worldspace vs UGUI, and Memory Profiler font-data capture.