Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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。
Combines multi-agent brainstorming, the /grill-me slash command, and the 3 Core Godmodes (godmode-engineering, godmode-ui-ux, godmode-shipping) to force a comprehensive, multi-agent ideation and technical design workflow, ending in a plan-canvas review and a hand-off to /startcycle-graph. Use when the user asks to brainstorm, ideate, design, scope or sharpen a plan, idea or product, or when broad exploration before a build is the situation.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
When this skill is invoked or requested, you MUST orchestrate a comprehensive ideation and development workflow using a combination of multi-agent brainstorming, interactive user grilling, and strict adherence to the 3 Core Godmodes (godmode-engineering, godmode-ui-ux, godmode-shipping).
You are strictly required to enforce the following 6 pillars in your process:
invoke_subagent) to discuss ideas, architecture, and features.grill-with-docs skill and follow it — or grill-me when there is no working directory to leave a paper trail in. Do not paraphrase an interview here; those skills hold the protocol (design tree, frontier rounds, numbered questions each with a recommended answer), and a second description of it in this file would drift from the first.grill-with-docs additionally runs domain-modeling, so terminology and decisions settled during the debate land in CONTEXT.md and ADRs as they crystallise rather than evaporating with the session — which is usually what you want before a multi-agent build.openwiki-skill and github-repo skills to initialize the directory, set up AGENTS.md, and generate the foundational project files.godmode-engineering principles.godmode-ui-ux guidelines.godmode-shipping rules (Spec-Driven Development, feature flags, rollback strategies).aos-plan-canvas modes and presenting available modes to the user (see the "Planning mode choice" section in the plan-canvas skill). Then run aos-plan-canvas open <file> --mode <choice> followed by aos-plan-canvas await <file> and leave it running. The user reviews and annotates in the browser (Mermaid diagrams render live, click-to-annotate, chat rail); do not write state.goal or hand off to /startcycle-graph before an approve verdict comes back. A request_changes verdict means revise the plan file and reopen the session — it live-reloads. This runs identically regardless of which agent harness is executing this skill; it is a plain CLI, not a Claude-Code-specific mechanism. See the plan-canvas skill.## Name {#id} components with needs: / files: lines, tasks as - [ ] ... {#id}) and render the architecture with aos-archify so the canvas review includes the diagram; after the approve verdict, Trigger A starts the live map. See the agenttrail and archify skills./startcycle-graph for execution — write state.goal from this session's output and let /startcycle-graph's dispatcher take it from there (see .agents/graph.md). This skill does not invoke /startcycle-graph's agents itself; it produces the goal they read./design-control-loop after shipping (manual, opt-in; not part of the graph).If the brainstorm yields two viable directions, have two different agents each
write a plan file and compare them with the plan-arbiter skill before
handing off to /startcycle-graph. Review the arbiter's memo in plan-canvas.
godmode-ui-ux rules.godmode-engineering and godmode-shipping constraints.AGENTS.md files.To begin the BDBrainstorm process, start by invoking the "grill-me" interview style to question the user's premise, while simultaneously spinning up 2-3 subagents to analyze the initial request from different angles. Once aligned, ask the user for the target directory before writing the project artifacts and spawning development subagents.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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 a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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。