stream

getstream/agent-skills

Stream overview, CLI, and router for Chat, Video, Feeds, Moderation, and Agents. Use for any Stream task: building or integrating Stream into web, iOS, Android, React Native, Flutter, Unity, or Unreal apps, building voice or text AI agents with Stream Agents, querying Stream data, running getstream CLI commands, looking up Stream SDK docs, or migrating (from Sendbird, or Feeds v2 to v3). Routes to the right skill.

stream-docs

getstream/agent-skills

Compatibility entrypoint for requests naming stream-docs. Uses getstream docs for SDK documentation lookups.

stream-react-native

getstream/agent-skills

Builds, integrates, migrates, audits Stream Chat, Video, and Feeds in React Native CLI and Expo apps. Use when scaffolding an RN/Expo app, adding Stream to an existing app, upgrading a Stream SDK (Chat v8-v9, Feeds v2-v3), migrating from Sendbird (@sendbird/chat, @sendbird/uikit-react-native), building AI assistants / LLM chat (streaming, stop generating) with @stream-io/chat-react-native-ai, answering RN/Expo how-to questions, or customizing Stream RN UI. Triggers on React Native, Expo, Expo Router, stream-chat-react-native, stream-chat-expo, @stream-io/video-react-native-sdk, @stream-io/feeds-react-native-sdk, ChatGPT clone, channel list, message list, MessageComposer, threads, attachment picker, audio messages, offline support, push notifications, video call, livestream, audio room, ringing, CallContent, ParticipantView, activity/timeline/notification feed, StreamFeeds, comments, reactions, follows, and theming. React Native and Expo only - not web React (use stream-react), not Mo

stream-android

getstream/agent-skills

Build and integrate Stream Chat, Video, and Feeds in Android apps. Use for Jetpack Compose, Android Studio, and Gradle project work - including Stream package setup, auth and token wiring, screen blueprints, AI assistants and LLM chat (ChatGPT-style apps, streaming replies, thinking indicators, stop generating) with stream-chat-android-ai-compose, and any follow-up Stream UI work such as adding screens, navigating between channel list and channel/message screens, channel tap handling, deep links, push routing, theming, custom channel/message UI, video calling flows (joining/starting calls, ringing, custom call controls and participant tiles), and Feeds surfaces (timeline, activity composer, threaded comments, follow graph / profile, notification feed, stories).

stream-swift

getstream/agent-skills

Build, integrate, migrate to, and answer how-to questions for Stream Chat, Video, and Feeds in Swift / SwiftUI / UIKit / iOS apps - including AI assistants and agentic experiences (ChatGPT-style apps, LLM bots in chat, streaming responses, thinking indicators, reasoning and tool-call steps, tool approvals, device-side tools, a voice agent's transcript shown as a conversation) with the StreamChatAI components. Routes each request to the exact official iOS docs page, fetches it live, and applies it - with a curated setup flow, an AI integration runbook, a Sendbird - Stream Chat migration runbook, and iOS-specific pitfalls.

stream-cli

getstream/agent-skills

Query Stream data and run CLI operations against Chat, Video, Feeds, and Moderation: list channels, list calls, show flagged messages, find users, query any Stream resource. Run stream api / stream config / stream auth commands. Install the Stream CLI binary. Use when the user gives operational verbs ('list', 'show', 'find', 'check', 'query') with Stream nouns, or invokes the CLI literally.

google-agents-cli-publish

google/agents-cli

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 metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

google-agents-cli-eval

google/agents-cli

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: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available