RADAR SKILLI · GITHUB
Przydatne Agent Skills, ocenione według realnego użycia.
Porównuj zweryfikowane Skills: ich zastosowanie, zawartość pakietu, liczbę instalacji i wiarygodność źródła.
- ZAKRES KATALOGU
- ZWERYFIKOWANE
- Skills
- 15 601
- repozytoria
- 2523
- ostatnia synchronizacja
- 12 paź 2026
larksuitelark-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。
- instalacje
- 344,2 tys.
- GitHub Stars
- 17,6 tys.
- Aktualizacja
- 9 paź
emilkowalskiemil-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.
- instalacje
- 343,1 tys.
- GitHub Stars
- 45,4 tys.
- Aktualizacja
- 11 paź
juliusbrusseecavecrew
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.
- instalacje
- 342,8 tys.
- GitHub Stars
- 111,1 tys.
- Aktualizacja
- 11 paź
microsoftairunway-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\".
- instalacje
- 342,5 tys.
- GitHub Stars
- 1,6 tys.
- Aktualizacja
- 9 paź
juliusbrusseecaveman-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.
- instalacje
- 341,7 tys.
- GitHub Stars
- 111,1 tys.
- Aktualizacja
- 11 paź
prismaprisma-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.
- instalacje
- 341 tys.
- GitHub Stars
- 68
- Aktualizacja
- 8 paź
prismaprisma-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".
- instalacje
- 340,7 tys.
- GitHub Stars
- 68
- Aktualizacja
- 8 paź
prismaprisma-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.
- instalacje
- 340,5 tys.
- GitHub Stars
- 68
- Aktualizacja
- 8 paź
prismaprisma-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.
- instalacje
- 335,9 tys.
- GitHub Stars
- 68
- Aktualizacja
- 8 paź
prismaprisma-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".
- instalacje
- 334,5 tys.
- GitHub Stars
- 68
- Aktualizacja
- 8 paź
heygen-comslideshow
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.
- instalacje
- 326,4 tys.
- GitHub Stars
- 61 tys.
- Aktualizacja
- 12 paź
heygen-comtalking-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.
- instalacje
- 326 tys.
- GitHub Stars
- 61 tys.
- Aktualizacja
- 12 paź
pbakausimpeccable
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
- instalacje
- 326 tys.
- GitHub Stars
- 79,9 tys.
- Aktualizacja
- 12 paź
mattpococksetup-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.
- instalacje
- 323,8 tys.
- GitHub Stars
- 286,3 tys.
- Aktualizacja
- 9 paź
supabasesupabase
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
- instalacje
- 320,6 tys.
- GitHub Stars
- 2,8 tys.
- Aktualizacja
- 2 paź
microsoftentra-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
- instalacje
- 319 tys.
- GitHub Stars
- 1,6 tys.
- Aktualizacja
- 9 paź
lllllllamaai-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
- instalacje
- 314,9 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamaanalyze-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.
- instalacje
- 314,7 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamaai-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
- instalacje
- 314,6 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamaexplore-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
- instalacje
- 314,3 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamasafe-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.
- instalacje
- 314,3 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamarun-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.
- instalacje
- 314,1 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
lllllllamaexplore-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
- instalacje
- 314 tys.
- GitHub Stars
- 498
- Aktualizacja
- 23 wrz
leonxlnxdesign-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.
- instalacje
- 305 tys.
- GitHub Stars
- 94,8 tys.
- Aktualizacja
- 11 paź