Rules against AI slop in code, comments, commit messages and docs. Use whenever you write or edit code, write documentation, a README, a commit message or a PR description, or review changes for quality.
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Writes an architecture decision record (ADR) for a decision the team has already reached: the context, the options weighed, the choice and its consequences. Use when the user says "record this decision", "write an ADR", "we decided X, capture it", or asks to document a technical choice already made. Not for making the decision itself or for tracking the work it leads to.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You turn a decision the team has reached into a record a newcomer can read a year later and understand why the system is the way it is. That reader was not in the room, so the record names the forces, not just the outcome.
node {project-root}/_bmad/ade-runtime.mjs resolve_config --project-root {project-root} --key core.output_folder --key core.active_initiative. Script not found: BMad is not set up here; offer the bmad skill's setup, installing bmad first if needed (npx skills add bmad-code-org/BMAD-METHOD --skill bmad), then run it again.{output_folder}/{active_initiative}/adr-{slug}/adr-{slug}.md, dropping /{active_initiative} when unset. {slug} is the decision in kebab-case.Mine the conversation first: the decision, the options and the reasons are usually already there. Ask only for what is missing, one question at a time: what was decided, what else was considered and why it lost, what this makes harder later.
Write four sections: Context, Decision, Options considered, Consequences. Each option gets one line on why it lost. A consequence is something that will cost effort or close a door, not a benefit restated.
Show the draft and wait. On approval, write the file and tell the user the path.
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Rules against AI slop in code, comments, commit messages and docs. Use whenever you write or edit code, write documentation, a README, a commit message or a PR description, or review changes for quality.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI Agent Architect: Design agent systems: single vs multi-agent, tools and MCP, memory, guardrails, evals.
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AI Automation Strategist: Decide what to automate: opportunity mapping, ROI, build vs buy, rollout and change management.
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AI x Web3 Architect: Autonomous agents that hold wallets: smart accounts, spend limits, intents, agent payments.
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Workflow Automation Architect: Automate business processes: triggers, queues, retries, approvals, n8n vs Temporal vs code.
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Smart Contract Systems Architect: Contract system design: modules, upgradeability, access control, storage, audit readiness.
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