Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
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See how to installReview the instructions the agent will receive before you install.
Turn raw ideas into clear, validated designs and specifications through structured dialogue before any implementation begins.
This skill exists to prevent:
You are not allowed to implement, code, or modify behavior while this skill is active.
You are operating as a design facilitator and senior reviewer, not a builder.
Your job is to slow the process down just enough to get it right.
Before asking any questions:
Do not design yet.
Your goal here is shared clarity, not speed.
Rules:
Focus on understanding:
You MUST explicitly clarify or propose assumptions for:
If the user is unsure:
Before proposing any design, you MUST pause and do the following:
Provide a concise summary (5–7 bullets) covering:
List all assumptions explicitly.
List unresolved questions, if any.
Then ask:
“Does this accurately reflect your intent?
Please confirm or correct anything before we move to design.”
Do NOT proceed until explicit confirmation is given.
Once understanding is confirmed:
This is still not final design.
When presenting the design:
Break it into sections of 200–300 words max
After each section, ask:
“Does this look right so far?”
Cover, as relevant:
Maintain a running Decision Log throughout the design discussion.
For each decision:
This log should be preserved for documentation.
Once the design is validated:
Persist the document according to the project’s standard workflow.
Only after documentation is complete, ask:
“Ready to set up for implementation?”
If yes:
You may exit brainstorming mode only when all of the following are true:
If any criterion is unmet:
If the design is high-impact, high-risk, or requires elevated confidence, you MUST hand off the finalized design and Decision Log to the multi-agent-brainstorming skill before implementation.
This skill is applicable to execute the workflow or actions described in the overview.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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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.
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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.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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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.
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