「lab」の検索結果

Browse and preview AOS skills, agents and playbooks in the local store UI. Generated from plugin-commands.json; invoke as $bdb-aos:store.

日本語の概要は準備中です。原文の説明を表示しています。

Updates tdmcp docs and roadmap for newly shipped or newly merged capabilities. Use when asked to update docs, update the roadmap, reconcile release docs, document new features, sync docs with CHANGELOG/package release, refresh cookbook examples after a feature wave, re-run/continue/fix a docs-roadmap pass, or check whether docs/ROADMAP.md is current. Runs a sub-agent workflow: release audit -> roadmap/docs edit + cookbook sync -> QA.

日本語の概要は準備中です。原文の説明を表示しています。

Start a single Rhino MCP session. Accepts a version argument (e.g. `8`, `WIP`) and an optional explicit port. Walks forward from `10500` to pick a free port if none was given. On macOS this opens a new document in the running Rhino; on Windows it launches a new Rhino process. Use when the user asks to start a Rhino MCP session — for N parallel Rhinos use `/launch-rhinos` instead.

日本語の概要は準備中です。原文の説明を表示しています。

Implement ONE tdmcp tool from a spec — the canonical file pattern (Zod schema + …Impl + register… ToolRegistrar), a bridge Python payload via buildPayloadScript, and an offline msw unit test — touching only new files, never shared registries. Use when coding/implementing/writing a tdmcp tool, generator, effect, control, CHOP/TOP/SOP builder, or Python bridge work, especially when several features are built in parallel.

日本語の概要は準備中です。原文の説明を表示しています。

Brainstorm a topic with the matching skill: bdbrainstorm, bdbmediastorm for event tech, grill-me for a stress test. Generated from plugin-commands.json; invoke as $bdb-aos:brainstorm.

日本語の概要は準備中です。原文の説明を表示しています。

How to use windows-computer-use-mcp effectively — tool selection, focus rules, safety, and mission design.

日本語の概要は準備中です。原文の説明を表示しています。

Pre-ship framing and the technical release gate, with approvals under the go-gate rules. Generated from plugin-commands.json; invoke as $bdb-aos:shipping.

日本語の概要は準備中です。原文の説明を表示しています。

Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or tdmcp-quality-audit for broad repo audits.

日本語の概要は準備中です。原文の説明を表示しています。

Spin up N Rhino MCP sessions in parallel and fan out one agent per Rhino. Use when the user wants multiple Rhinos running simultaneously with each agent driving its own — e.g. "spawn 3 agents and have each launch Rhino", "run 5 Rhino tasks in parallel". For a single Rhino, use `/launch-rhino` instead.

日本語の概要は準備中です。原文の説明を表示しています。

Start a new composition: project init, brainstorm, then ask whether graph or startcycle follows. Generated from plugin-commands.json; invoke as $bdb-aos:startproject.

日本語の概要は準備中です。原文の説明を表示しています。

Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist controls, CLI/DX, AI/LLM integration, and TouchDesigner depth. Use whenever the user wants to brainstorm, discover, survey, list, or audit what features/tools/effects/controls/commands/prompts/capabilities tdmcp *could* add, asks 'what could we build / what's missing / what are the opportunities / ideas for the project', or wants a feature backlog or gap analysis. Also for follow-ups: re-run, refresh, update, re-survey, deepen, or re-prioritize the backlog, or survey just one surface (e.g. 'CLI ideas only'). This is the IDEATION harness — it produces a list to decide from; it does NOT build. When the user has already chosen a feature and wants it implemented/shipped/added, use tdmcp-pipeline instead.

日本語の概要は準備中です。原文の説明を表示しています。

Authoritative reference for submitting tdmcp to the Anthropic Connectors Directory as a Codex Desktop Extension (MCPB). Use whenever drafting, checking, or fixing the submission — it defines the two submission paths, why tdmcp is a Desktop Extension (never a remote connector), every form field, the rejection-causing gates, and the local-only compliance story. Read this before writing any submission deliverable.

日本語の概要は準備中です。原文の説明を表示しています。

Search, scrape, and interact with the web via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, get data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference external websites. This provides real-time web search with full page content and interact capabilities — beyond what Claude can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Run the startcycle-graph pipeline: durable state, repair loop, quality gate, escalation. Generated from plugin-commands.json; invoke as $bdb-aos:graph.

日本語の概要は準備中です。原文の説明を表示しています。

Query or store long-term memory with memB. Generated from plugin-commands.json; invoke as $bdb-aos:memb.

日本語の概要は準備中です。原文の説明を表示しています。

Supervise other Claude Code sessions on this machine: roster, status requests, GO board, idle notices. Generated from plugin-commands.json; invoke as $bdb-aos:mastersession.

日本語の概要は準備中です。原文の説明を表示しています。

Build a tdmcp TouchDesigner-bridge vertical slice the house way — promote an op from /api/exec to a first-class REST endpoint (e.g. POST /api/connect, GET /api/logs, node_detail flags), add its typed method in src/td-client/touchDesignerClient.ts, its Zod envelope in src/td-client/validators.ts, rewire the tool(s) to prefer the endpoint with an exec fallback, and write py_compile + td/tests unittest + offline msw client tests. Use when adding/changing a bridge REST endpoint, editing td/, extending node_detail/get_bridge_logs, promoting connect/disconnect/param-modes/DAT-text off exec, or doing any exec→REST work — especially the td-depth bridge-robustness backlog. Honors probe-live discipline when TouchDesigner is offline.

日本語の概要は準備中です。原文の説明を表示しています。

Turn a meeting transcript into clean notes, the decisions, and who does what by when, then draft the follow-up mail and send it only after your GO. Use for "meeting notes", "action items from this meeting", "who did what in this transcript", "who does what after the call".

日本語の概要は準備中です。原文の説明を表示しています。

Turn a live app or landing page into a short launch video: composition brief, render in Hyperframes or Remotion, an ffprobe check per format, publish hand-off only after GO. Use for "launch video", "make a video of the shipped app", "promo clip for the landing page".

日本語の概要は準備中です。原文の説明を表示しています。

Run one control session over several Claude Code, Codex or OpenCode sessions: roster, status board, GO board, GO <session> tokens, idle notices and a handover file. Use for "master session", "supervise my sessions", "run several agents", "one control window".

日本語の概要は準備中です。原文の説明を表示しています。

Bring a new machine to a verified AOS installation: read-only doctor baseline, install after GO, MCP servers wired per harness with the configs backed up first, memB and OpenWiki checks, and a second doctor run for the delta. Use for "set up this machine", "onboard a new computer", "install AOS on this laptop".

日本語の概要は準備中です。原文の説明を表示しています。

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

日本語の概要は準備中です。原文の説明を表示しています。

Prepare a project for open sourcing: a sanitized fork with secrets and internal references stripped, a sanitizer verdict, README and LICENSE, then a new PRIVATE GitHub repo created and pushed only after GO. The playbook never makes the repo public. Use for "open source this project", "make a sanitized fork", "prepare a public release".

日本語の概要は準備中です。原文の説明を表示しています。

Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.

日本語の概要は準備中です。原文の説明を表示しています。