AGENT SKILLS · ÉQUIPEMENT DE MISSION
Des Agent Skills utiles classés selon leur usage réel
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 22 797
- dépôts
- 3512
- dernière synchronisation
- 1 nov. 2026
heygen-comfigma
Bring Figma into a HyperFrames video - rendered assets, brand tokens, components, storyboard frames as reconstructed motion (frames read as states, not slides), shaders and connector-assisted motion. Use when the person pastes a figma.com link or asks to use a Figma design, frame, logo or brand.
- Installations totales
- 371,6 k
- GitHub Stars
- 77 k
- Mis à jour
- 1 nov.
prime-skillsace-step
Generate, inpaint, and outpaint music with ACE Step on RunComfy via the runcomfy CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step 1.5 text-to-audio (50+ language lyrics, refined structured-lyric handling), ACE Step audio-inpaint (re
- Installations totales
- 371,1 k
- GitHub Stars
- 61
- Mis à jour
- 15 mai
microsoftairunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".
- Installations totales
- 366,3 k
- GitHub Stars
- 1,6 k
- Mis à jour
- 30 oct.
juliusbrusseecavecrew
When to delegate to cavecrew-investigator (locate code), cavecrew-builder (1-2 file edit) or cavecrew-reviewer (diff review) instead of working inline or using Explore. Their output is compressed, so main context lasts longer.
- Installations totales
- 365,8 k
- GitHub Stars
- 116,7 k
- Mis à jour
- 1 nov.
juliusbrusseecaveman-stats
Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.
- Installations totales
- 364,7 k
- GitHub Stars
- 116,7 k
- Mis à jour
- 1 nov.
larksuitelark-vc-agent
仅当用户或上游配置显式指定 lark-vc-agent 时使用，相关请求统一交由 lark-meeting 技能处理。
- Installations totales
- 360 k
- GitHub Stars
- 17,9 k
- Mis à jour
- 30 oct.
stablyaiorca-cli
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and Orca's embedded browser through the orca CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", or "Orca browser". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state is involved. Use Computer Use only when a visible window nee
- Installations totales
- 357 k
- GitHub Stars
- 112,3 k
- Mis à jour
- 1 nov.
stablyaiorchestration
Run work in separate Orca worker agents and get their results back. Use when the user asks for Orca workers or supervision (monitor, task DAGs, ask/reply, decision gates), or when the work needs something your own subagents cannot give: a different agent (such as Codex from Claude) or its own Orca workspace. "Have Codex (or Claude) review this and report back" means an Orca worker of that agent, even when you have your own model subagents. Also use when you are a dispatched worker (a prompt with
- Installations totales
- 353,8 k
- GitHub Stars
- 112,3 k
- Mis à jour
- 1 nov.
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
- Installations totales
- 352,7 k
- GitHub Stars
- 3 k
- Mis à jour
- 2 oct.
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
- Installations totales
- 344,9 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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.
- Installations totales
- 344,7 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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
- Installations totales
- 344,5 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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.
- Installations totales
- 344,2 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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
- Installations totales
- 344,2 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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.
- Installations totales
- 343,9 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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
- Installations totales
- 343,9 k
- GitHub Stars
- 486
- Mis à jour
- 23 sept.
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
- Installations totales
- 342,4 k
- GitHub Stars
- 1,6 k
- Mis à jour
- 30 oct.
larksuitelark-apps
妙搭（Spark/Miaoda）应用开发与托管：应用创建、本地全栈开发、云端生成迭代、创意设计（UI mockup / 可交互原型 / 线框图 / 落地页 / 仪表盘 / 幻灯片 deck / 视觉探索）、AI相关能力和飞书平台能力或者其他外部能力集成、日志/Trace/监控指标/PV/UV 查询、环境变量管理、应用协作者与协作权限设置、应用角色与成员管理、自动化触发器（定时/记录变更/Webhook/飞书审批）。当用户要开发/新建一个系统·工具·平台·应用，或要本地开发 / 云端开发 / 修改 / 部署 / 发布 / 上线 / 拿可分享链接，或用 HTML 做页面·网站·部署到妙搭，或要设计 / design / mockup / prototype / wireframe / 做 PPT / deck / 视觉探索，或提到妙搭/Spark/Miaoda 应用（链接形如 /app/appxxx 或 /page/ ，运行时域名形如 .aiforce.cloud）、应用数据库、应用文件存储、开放 API Key、可见范围、应用协作者/开发权限、应用角色/角色成员、线上日志、接口请求量、错
- Installations totales
- 320,9 k
- GitHub Stars
- 17,9 k
- Mis à jour
- 30 oct.
mattpocockimplement-spec
Implement the result of /to-spec and /to-tickets in code.
- Installations totales
- 317,2 k
- GitHub Stars
- 309 k
- Mis à jour
- 1 nov.
obrasystematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
- Installations totales
- 316,1 k
- GitHub Stars
- 310,5 k
- Mis à jour
- 29 oct.
mattpocockretro
Conduct a retrospective on a coding session.
- Installations totales
- 309,2 k
- GitHub Stars
- 309 k
- Mis à jour
- 1 nov.
microsoftazure-reliability
Assess and improve the reliability posture of PaaS Applications (Azure Functions and Azure App Service). Scans deployed resources for zone redundancy, ZRS storage, health probes, and multi-region failover. Presents a feature-pivoted checklist, then drives staged remediation (CLI or IaC patches) end-to-end with user confirmation. WHEN: \"assess reliability\", \"check reliability\", \"zone redundant\", \"multi-region failover\", \"high availability\", \"disaster recovery\", \"single points of fail
- Installations totales
- 305,7 k
- GitHub Stars
- 1,6 k
- Mis à jour
- 30 oct.
neondatabaseneon-postgres
Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, and Lakebase Search. Use when the work is an existing DATABASEURL, SQL, schema, inspect, or search. New backends, Auth, files, Functions, and LLM calls go to the parent neon skill. Live queries, reactive UIs, and realtime data go to neon-realtime. Also use for "@neondatab
- Installations totales
- 298,1 k
- GitHub Stars
- 108
- Mis à jour
- 30 oct.
obrawriting-plans
Use when you have a spec or requirements for a multi-step task, before touching code
- Installations totales
- 290,5 k
- GitHub Stars
- 310,5 k
- Mis à jour
- 29 oct.