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
skills-shellai-avatar-video
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC di
- Instalaciones totales
- 544,7 mil
- GitHub Stars
- 2
- Actualizado
- 2 sept
googlegoogle-agents-cli-adk-code
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or depl
- Instalaciones totales
- 532 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-deploy
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patter
- Instalaciones totales
- 531,4 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-publish
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadat
- Instalaciones totales
- 531,1 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-workflow
This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and trouble
- Instalaciones totales
- 530,5 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-eval
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK
- Instalaciones totales
- 530,5 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-scaffold
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers agents-cli scaffold create, scaffold enhance, and scaffold upgrade commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or depl
- Instalaciones totales
- 530,4 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
googlegoogle-agents-cli-observability
This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-depl
- Instalaciones totales
- 530,4 mil
- GitHub Stars
- 6,3 mil
- Actualizado
- 27 oct
mattpocockto-questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
- Instalaciones totales
- 528,5 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
microsoftazure-compute
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monit
- Instalaciones totales
- 528,2 mil
- GitHub Stars
- 1,6 mil
- Actualizado
- 30 oct
mattpocockgit-guardrails-claude-code
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
- Instalaciones totales
- 522,5 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
microsoftazure-cloud-migrate
Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.
- Instalaciones totales
- 521 mil
- GitHub Stars
- 1,6 mil
- Actualizado
- 30 oct
mattpococksetup-pre-commit
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
- Instalaciones totales
- 511,9 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockwriting-beats
Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.
- Instalaciones totales
- 505,3 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockwriting-shape
Writing, exploit: shape raw material into an article, paragraph by paragraph.
- Instalaciones totales
- 504,9 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockwriting-fragments
Writing, explore: mine raw fragments, no structure yet.
- Instalaciones totales
- 504,2 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockscaffold-exercises
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
- Instalaciones totales
- 502,5 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockwriting-for-agents
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
- Instalaciones totales
- 500,8 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
mattpocockmigrate-to-shoehorn
Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.
- Instalaciones totales
- 498,4 mil
- GitHub Stars
- 308,4 mil
- Actualizado
- 31 oct
lllllllamapaper-context-resolver
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing R
- Instalaciones totales
- 483,8 mil
- GitHub Stars
- 486
- Actualizado
- 23 sept
larksuitelark-doc
飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由；/page/ 是妙搭应用，非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
- Instalaciones totales
- 483,3 mil
- GitHub Stars
- 17,9 mil
- Actualizado
- 30 oct
lllllllamarepo-intake-and-plan
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
- Instalaciones totales
- 483 mil
- GitHub Stars
- 486
- Actualizado
- 23 sept
lllllllamaminimal-run-and-audit
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized reprooutputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
- Instalaciones totales
- 482,9 mil
- GitHub Stars
- 486
- Actualizado
- 23 sept
lllllllamaenv-and-assets-bootstrap
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
- Instalaciones totales
- 482,8 mil
- GitHub Stars
- 486
- Actualizado
- 23 sept