1.7万 件 ・ 関連度順
概要と使いどころ
Comprehensive investigation of complex multi-domain narratives (technology, theology, policy, finance). Systematically decouples factual claims from speculation through iterative verification, multi-source comparison, and contradiction resolution. Use for investigations requiring institutional knowledge, historical context, and handling of conflicting incentives.
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。
Wire builders' isolated tdmcp tool files into the shared registries, CLI, and docs as a single writer, conflict-safe, and confirm a green typecheck + build. Use when integrating/wiring/registering new tdmcp tools, adding their CLI commands, resolving build breaks after parallel feature work, or merging several builders' files into the registry without conflicts.
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 this machine to a complete, verified AOS installation (skills, MCP servers, gate hooks, memB, OpenWiki, Synapse). Generated from plugin-commands.json; invoke as $bdb-aos:setup.
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。
Check the machine and the current project, and print suggested permissions.allow entries without writing any settings. Generated from plugin-commands.json; invoke as $bdb-aos:doctor.
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。
Coordinate parallel coding agents across repositories through the AO daemon. Generated from plugin-commands.json; invoke as $bdb-aos:orchestrator.
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。
Quality-assure integrated tdmcp features: run the four PR gates + recipe/bridge tests, cross-boundary coherence checks (tool schema↔CLI↔docs↔registry, operator↔createable, bridge↔client), and live TouchDesigner validation (preview + post-cook error check) when the bridge is reachable. Use when validating/QA-ing/testing tdmcp tools, checking a feature actually cooks in TD, verifying CLI matches a tool, or gating a 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。
List all pb-* playbooks with duration, difficulty and requirements, and start one. Generated from plugin-commands.json; invoke as $bdb-aos:playbooks.
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。
Orchestrates the tdmcp Anthropic Connectors Directory (Desktop Extension / MCPB) submission prep — designs the package, writes the privacy page, migrates .dxt→.mcpb, drafts all form answers, and QAs the result. Use for ANY work on the tdmcp directory/marketplace submission, including re-runs after a rejection ("update the submission", "redo the form answers", "re-migrate the bundle", "fix the privacy page", "the directory rejected us"). Drives a 4-agent pipeline (architect → docs-author ∥ bundle-engineer → 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。
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。
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。
Weekly health report over the BDB repos: git and npm version drift and CI status as an HTML report with auto-remediation off, red CI routed to pb-ci-fix, non-release remediation steps run one at a time after GO. Use for "weekly health check", "ecosystem health", "are all repos green and in sync".
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。
Publish a project's docs as a static HTML manual on GitHub Pages: check that Pages is enabled, bring the wiki up to date, list the doc gaps, build the site, preview it locally and push it after GO. Use for "publish the docs", "docs site", "put the manual on GitHub Pages".
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。
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
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。
Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes.
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。
Use when long-running or parallel agent work must respect 5-hour and weekly usage limits by checking usage between waves, pausing near the cap, and resuming only when the window is clear.
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。
Use when executing implementation plans with independent tasks in the current session — trigger phrases "execute the plan", "independent tasks", "parallel tasks", "subagents for the plan","split the plan into subagents". Dispatches a fresh subagent per task with two-stage review after each: spec compliance first, then code quality.
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。
A prototyping skill that generates a local HTML mock with a built-in feedback layer, allowing users to drop visual comments (red dots) for UI fixes.
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。
Use when the user just says "plan", "planen" or "roadmap": offer a template via aos-plan-canvas templates. Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use for planning, whenever a user says "plan", "roadmap", "visualize the plan", "review the plan" or /plan-canvas, right after a brainstorm or grill interview has produced a plan, and whenever any skill's artifact (plan, design, comparison, report, diagram) can be reviewed visually instead of with typed feedback.
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。
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
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。
Model Context Protocol interface to the memB persistent agent memory layer. Use when an agent needs to add, search, list or delete persistent memories locally and offline. Exposes add_memory, search_memory, list_memories and delete_memory.
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。
Use when an error occurs (deja fix), when resuming work in a project (deja wip), or when past sessions in this repo matter (deja search). Local, redacted session memory, installed together with 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。
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
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。