Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session. Use this skill whenever the user asks to orchestrate agents, create or steer worker sessions, run a workflow-like effort, fan out audits/research/migrations, coordinate parallel implementation streams, monitor other project sessions, or compare this control-session pattern to Claude Code dynamic workflows. This skill is especially relevant when the current session can spawn persistent project sessions and those sessions can spawn their own subagents, creating a two-level orchestration hierarchy.

Audita o peso de contexto carregado na sessão — CLAUDE.md, agents, MCP descriptions, rules ativas, skills invocadas e histórico acumulado. Estima tokens por componente, reporta headroom disponível e emite alertas de overflow. Distinto do cost-tracker (skill 30) que rastreia tokens gastos em completions runtime. Trigger em: "contexto inchado", "context overflow", "quanto contexto estou usando", "peso do contexto", "context budget", "tokens carregados", "sessao lenta", "respostas degradadas", "headroom de contexto", "custo fixo de contexto", "overhead de rules", "overhead dos agents", "impacto do MCP no contexto", "espaco no context window", "quanto cabe no context window"

Captura screenshots via Playwright MCP de URLs/elementos pra usar em posts de blog ou documentação. Lida com viewport, cookie banners, full-page vs section, scroll a âncora, formatos PNG/JPG. Compõe com skill 41 (blog-publisher). Trigger em: "tira print", "screenshot do site", "captura tela", "screenshot da página", "print da landing", "print do dashboard", "screenshot pro blog".

Use when writing or reviewing C# code in this repo that builds an interactive Deepgram Voice Agent over WebSocket. Covers `ClientFactory.CreateAgentWebSocketClient()`, `SettingsSchema`, event subscriptions, microphone audio streaming, injected user messages, and function-call-related message types. Use `deepgram-dotnet-text-to-speech` for one-way synthesis and STT skills for transcription-only flows.

Use when writing or reviewing Java code in this repo that calls Deepgram Management APIs for projects, project models, API keys, members, invites, usage, and billing. Covers `client.manage().v1().*` plus related think-model discovery under `client.agent().v1().settings().think().models()`. Use `deepgram-java-voice-agent` for live agent conversations instead of admin APIs. Triggers include "management api", "list projects", "api keys", "members", "invites", "usage", "billing", and "models".

Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (`/v1/read`) for sentiment, summarization, topic detection, and intent recognition on text input. Covers `client.read.v1.text.analyze(...)` with `body: { text }` or `body: { url }`. Use `deepgram-js-audio-intelligence` when the source is audio instead of text. Triggers include "read API", "text intelligence", "analyze text", "sentiment", "summarize text", "topics", "intents", and "read.v1".

Shadcn/ui theming and component customization — CSS variables, OKLCH colors, dark mode, variants, wrappers. Load for any ticket involving colors, theme, UI layout, or component styling.

Anthony Fu's opinionated tooling and conventions for JavaScript/TypeScript projects. Use when setting up new projects, configuring ESLint/Prettier alternatives, monorepos, library publishing, or when the user mentions Anthony Fu's preferences.

Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.

Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.

Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.

Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.

Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.

Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.

Use when the agent needs to apply a tool to a target object in ALFWorld to accomplish an interaction such as cleaning, heating, cooling, or examining. This skill handles locating both the tool and target object, then executing the correct environment action (e.g., `clean`, `heat`, `cool`, `use`) to progress the task.

LP tokenized stocks onchain — range-LP Coinbase tokenized equities (NVDA, AAPL, GOOGL, META) and AERO/USDC on Aerodrome Slipstream (Base) for trading-fee + AERO emission yield. Use when the user wants to LP stocks or Aerodrome pools on Base, open/recenter/exit a Slipstream position, check pool status, NAV, or yields, get a portfolio overview ("how are my LP positions doing?") with P&L and projected APR, run a manage pass, or set up scheduled/price-triggered LP automations in the Bankr console. Auto-routes every position to the higher-yielding side — staked (AERO emissions) vs unstaked (trading fees) — at entry and re-checks on every manage pass. Bundled node scripts do the chain reads, gate checks, and calldata; writes go via the Bankr arbitrary-transaction flow. NOT for perps, spot trading, or Uniswap.

One token recommendation and one prediction-market pick per run — with falsifiable thesis, entry, sizing guidance, and an explicit kill criterion. Skip branch fires when no candidate has both a named/dated catalyst and asymmetric upside. The discipline is the skip branch — empirically the highest-EV output on flat days is no pick. Triggers: "what should I trade today", "give me a token pick", "prediction-market rec", "is there an asymmetric setup".

Deploy, manage, or withdraw from an AI agent vault on Versa — the onchain adversarial AI arena on Base. Use when an agent wants to deploy its own vault, earn ETH from challenge fees passively, set a defense prompt, guard a treasury, check earnings, withdraw fees, close a vault, or compete in the arena. Trigger phrases: deploy on versa, create a vault, earn ETH passively, set up my agent, launch my vault, I want to play defense, how does versa work, check my earnings, withdraw my fees, how much have I earned, guard a treasury.

Use this skill when producing a polished, Commonly-branded deliverable (.docx brief / memo, .xlsx data matrix, .pptx deck) and you do not have specific brand guidance from the user. Trigger on: 'write me a brief', 'one-pager', 'memo', 'data sheet', 'status matrix', 'short deck', 'summary deck', 'closing slide', 'final deliverable'. Routes to `officecli merge` with one of three pre-built starter templates that already carry the Commonly palette, fonts, and structure — so you populate content with one merge call instead of 30 individual `officecli set` commands. DO NOT use for fundraising decks (use `officecli-pitch-deck`), academic papers (use `officecli-academic-paper`), or financial models (use `officecli-financial-model`).

Pick and install beUI (@beui) animated React components from the shadcn registry. Use when building motion UI, agent/chat interfaces, toasts, docks, bottom sheets, drawers, popovers, sliders, loaders, 404 pages, or any beui.dev component. Maps user intent to exact @beui install slugs instead of inventing custom widgets.