berabuddies

Audit an agent skill with Semia inside OpenClaw. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", or audit a skill/plugin for behavior risk.

Audit an agent skill with Semia inside Claude Code. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", or audit a skill/plugin for behavior risk.

Audit an agent skill with Semia inside Codex. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", or audit a skill/plugin for behavior risk.

Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.

Audit an agent skill with Semia Skill Behavior Mapping. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", audit a skill package, or review a skill/integration for capability, data-flow, secret, installer, network, filesystem, or policy risk.

Uses Fennec SEO Auditor results to audit a URL. Invoke when user wants a quick on‑page/technical SEO health check or to verify favicon/meta/schema and GEO readiness.

Build a personalized team of AI agent personas for OpenClaw. Interviews the user, analyzes their workflow, then creates specialized agents with distinct personalities, adaptive model routing (Fast/Think/Deep/Strategic), weekly learning metrics, visual architecture docs, and inter-agent coordination. USE WHEN: user wants to create an agent team/council, build specialized AI personas, set up multi-agent workflows, 'build me a team of agents', 'create agents for my workflow', 'set up an agent council', 'I want specialized AI assistants', 'build me a crew'. DON'T USE WHEN: user wants a single skill (use skill-creator), wants to install existing skills (use clawhub), or wants to chat with existing agents (just route to them).

Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.

Recipe for rendering a code review as a Canvas — compose findings with evidence and actions into a scannable page instead of a long text answer.

Use when the user asks to create a short drama from a prompt — e.g. "生成短剧", "制作微短剧", "make a short drama", "turn this script into a short drama", "ショートドラマを生成", "숏드라마를 만들어". Orchestrates script, storyboard, optional character images, per-shot video clips, and ffmpeg composition through the existing media tools.

Configure Gmail Browser with /connect and use Gmail ConnectorAct actions through the global Puffer browser profile.

Authenticate Lark with /connect (delegated to the official lark-cli), then send/react/reply through the connector and consume incoming Lark messages as a stream. Two connectors mirror Telegram — lark-login (your user account; monitor + act as you) and lark-bot (the app bot; auto-reply). Use lark-cli directly from Bash for chat/user lookup and any API not exposed as a connector action.

Configure SlackApp or SlackLogin with /connect, then resolve Slack users/channels and search/read Slack messages through the internal CLI.

Configure Telegram with /connect, then resolve Telegram user/group ids and search Telegram messages through the internal Telegram CLI.

Use when the user asks to create, generate, or render images through the internal media CLI.

Use when the user asks to create or generate a text-to-video clip through the internal media CLI.

Build and run multi-agent pipelines using AgentFlow. Use when the user wants to orchestrate codex, claude, or kimi agents in parallel, in sequence, or in iterative loops. Trigger when the user mentions multi-agent workflows, fan-out tasks, code review pipelines, iterative implementation loops, running agents on EC2/ECS, or any task that needs multiple AI agents coordinated together. Also trigger for "agentflow", "pipeline", "graph of agents", "fanout", "shard", or "run codex on remote".