AGENT SKILLS · EQUIPO DE MISIÓN
Agent Skills útiles ordenados por uso real
Compara Skills verificados por función, contenido del paquete, instalaciones y fiabilidad de la fuente antes de añadirlos.
- ALCANCE DEL CATÁLOGO
- VERIFICADO
- Skills
- 22.787
- repositorios
- 3507
- última sincronización
- 1 nov 2026
gencraft-labsvideo-edit
Edit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets sh
- Instalaciones totales
- 364,6 mil
- GitHub Stars
- 0
- Actualizado
- 6 oct
gencraft-labsai-video-generation
Generate AI videos on RunComfy via the runcomfy CLI — a smart router across the full video-model catalog: HappyHorse 1.0 (Arena 1, native in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync), ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0 / 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0. Covers text-to-video (t2v), image-to-video (i2v), and Veo's video-extend endpoint. The skill picks the right model for the user's intent (Arena-1 quality, m
- Instalaciones totales
- 364,4 mil
- GitHub Stars
- 0
- Actualizado
- 6 oct
gencraft-labsai-image-generation
Generate and edit images on RunComfy via the runcomfy CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits, sub-second
- Instalaciones totales
- 364,2 mil
- GitHub Stars
- 0
- Actualizado
- 6 oct
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.
- Instalaciones totales
- 364,2 mil
- GitHub Stars
- 116,5 mil
- Actualizado
- 31 oct
gencraft-labsimage-to-video
Animate any still image on RunComfy — this skill is a smart router that matches the user's intent to the right i2v model in the RunComfy catalog. Picks HappyHorse 1.0 I2V (Arena 1, native audio, identity preservation) for general animations, Wan 2.7 with audiourl for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal animation from image + reference video + reference audio. Bundles each model's documented prompting patterns so the caller gets sharper output without burning iterations
- Instalaciones totales
- 363,6 mil
- GitHub Stars
- 0
- Actualizado
- 6 oct
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。
- Instalaciones totales
- 359,6 mil
- GitHub Stars
- 17,9 mil
- Actualizado
- 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
- Instalaciones totales
- 356,8 mil
- GitHub Stars
- 111,8 mil
- Actualizado
- 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
- Instalaciones totales
- 353,5 mil
- GitHub Stars
- 111,8 mil
- Actualizado
- 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
- Instalaciones totales
- 352,3 mil
- GitHub Stars
- 3 mil
- Actualizado
- 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
- Instalaciones totales
- 344,2 mil
- GitHub Stars
- 486
- Actualizado
- 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.
- Instalaciones totales
- 344 mil
- GitHub Stars
- 486
- Actualizado
- 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
- Instalaciones totales
- 343,8 mil
- GitHub Stars
- 486
- Actualizado
- 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.
- Instalaciones totales
- 343,5 mil
- GitHub Stars
- 486
- Actualizado
- 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
- Instalaciones totales
- 343,4 mil
- GitHub Stars
- 486
- Actualizado
- 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.
- Instalaciones totales
- 343,2 mil
- GitHub Stars
- 486
- Actualizado
- 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
- Instalaciones totales
- 343,2 mil
- GitHub Stars
- 486
- Actualizado
- 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
- Instalaciones totales
- 342,2 mil
- GitHub Stars
- 1,6 mil
- Actualizado
- 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
- Instalaciones totales
- 320,4 mil
- GitHub Stars
- 17,9 mil
- Actualizado
- 30 oct
obrasystematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
- Instalaciones totales
- 315,4 mil
- GitHub Stars
- 310,1 mil
- Actualizado
- 29 oct
mattpocockimplement-spec
Implement the result of /to-spec and /to-tickets in code.
- Instalaciones totales
- 315,1 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockretro
Conduct a retrospective on a coding session.
- Instalaciones totales
- 307,1 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
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
- Instalaciones totales
- 305,5 mil
- GitHub Stars
- 1,6 mil
- Actualizado
- 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
- Instalaciones totales
- 297,4 mil
- GitHub Stars
- 108
- Actualizado
- 30 oct
obrawriting-plans
Use when you have a spec or requirements for a multi-step task, before touching code
- Instalaciones totales
- 290 mil
- GitHub Stars
- 310,1 mil
- Actualizado
- 29 oct