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実際に使われている Agent Skills。

公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。

掲載範囲: 検証済み
Skills: 15,601
リポジトリ: 2523
最終同期: 2026/10/12

15,601 Skills

larksuite

コミュニティ

lark-vc-agent

仅当用户或上游配置显式指定 lark-vc-agent 时使用，相关请求统一交由 lark-meeting 技能处理。

導入数: 34.4万
GitHub Stars: 1.8万
更新日: 10月9日

emil-design-eng

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

導入数: 34.3万
GitHub Stars: 4.5万
更新日: 10月11日

When to delegate to cavecrew-investigator (locate code), cavecrew-builder (1-2 file edit) or cavecrew-reviewer (diff review) instead of working inline or using Explore. Their output is compressed, so main context lasts longer.

導入数: 34.3万
GitHub Stars: 11.1万
更新日: 10月11日

airunway-aks-setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".

導入数: 34.3万
GitHub Stars: 1558
更新日: 10月9日

caveman-stats

Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.

導入数: 34.2万
GitHub Stars: 11.1万
更新日: 10月11日

prisma-driver-adapter-implementation

Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.

導入数: 34.1万
GitHub Stars: 68
更新日: 10月8日

prisma-upgrade-v7

Complete migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on "upgrade to prisma 7", "prisma 7 migration", "prisma-client generator", "driver adapter required".

導入数: 34.1万
GitHub Stars: 68
更新日: 10月8日

prisma-postgres-setup

Obtain or reuse a Prisma Postgres database and connect an application. Use for "set up Prisma Postgres", "connect my app to Prisma Postgres", or Prisma Postgres setup in v0 and Vercel Marketplace. Hands Prisma ORM configuration to prisma-orm-setup; honors an explicit driver, alternative ORM, or database-only choice.

導入数: 34.1万
GitHub Stars: 68
更新日: 10月8日

prisma-compute

Prisma Compute deployment and hosting guide. Use whenever the user mentions Prisma Compute, prisma.compute.ts, defineComputeConfig, deploying or hosting a Prisma app, @prisma/cli app deploy, compute:deploy, create-prisma --deploy, PRISMASERVICETOKEN, Compute auth/workspaces, apps/deployments/build logs/domains, localhost vs 0.0.0.0, deploy port binding, or framework deploy readiness for Hono, Elysia, Next.js, TanStack Start, Astro, Nuxt, Svelte, Nest, Turborepo, or custom/prebuilt artifacts.

導入数: 33.6万
GitHub Stars: 68
更新日: 10月8日

prisma-mongodb-upgrade

Decision and migration guide for Prisma ORM MongoDB projects on v6, which have no upgrade path to v7. Use when a MongoDB project asks about upgrading Prisma, when "upgrade to prisma 7" comes up in a project with provider = "mongodb", or when evaluating a move to Prisma 8. Triggers on "upgrade prisma mongodb", "prisma 7 mongodb", "mongodb prisma migration", "prisma 8 mongodb".

導入数: 33.4万
GitHub Stars: 68
更新日: 10月8日

slideshow

Author a HyperFrames slideshow — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching, hotspot navigation, and built-in presenter mode with speaker notes; also converts an existing page into a deck. Output is a navigable deck, not a rendered MP4. If the user didn't explicitly ask for a slideshow, confirm before authoring. Unclear → /hyperframes.

導入数: 32.6万
GitHub Stars: 6.1万
更新日: 10月12日

talking-head-recut

Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath. Trigger on "graphic overlays", "on-screen graphics", "package / dress up my video". Not plain subtitles (/embedded-captions). Unclear → /hyperframes.

導入数: 32.6万
GitHub Stars: 6.1万
更新日: 10月12日

impeccable

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, la

導入数: 32.6万
GitHub Stars: 8万
更新日: 10月12日

setup-ts-deep-modules

Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files. User-invoked.

導入数: 32.4万
GitHub Stars: 28.6万
更新日: 10月9日

supabase

Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pggraphql, pgcron, pgvector); debugg

導入数: 32.1万
GitHub Stars: 2757
更新日: 10月2日

entra-agent-id

Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmipath token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registra

導入数: 31.9万
GitHub Stars: 1558
更新日: 10月9日

ai-research-explore

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of currentresearch with auditable repo understanding, idea gating, fair comparison, and governed experiments written to exploreoutputs/. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-on

導入数: 31.5万
GitHub Stars: 498
更新日: 9月23日

analyze-project

Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.

導入数: 31.5万
GitHub Stars: 498
更新日: 9月23日

ai-research-reproduction

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and w

導入数: 31.5万
GitHub Stars: 498
更新日: 9月23日

explore-code

Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in exploreoutputs/. Do not use for end-to-end exploration orchestration on top of currentresearch, trusted baseline

導入数: 31.4万
GitHub Stars: 498
更新日: 9月23日

safe-debug

Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

導入数: 31.4万
GitHub Stars: 498
更新日: 9月23日

run-train

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

導入数: 31.4万
GitHub Stars: 498
更新日: 9月23日

explore-run

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in exploreoutputs/. Do not use for end-to-end exploration orchestration on top of currentresearch, trusted baseline execution, conserva

導入数: 31.4万
GitHub Stars: 498
更新日: 9月23日

design-taste-frontend-v1

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.

導入数: 30.5万
GitHub Stars: 9.5万
更新日: 10月11日

MIT1 ファイル

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