Clarify implementation choices before planning through focused questions, existing project context, and codebase exploration. Record decisions in a context file that guides subsequent research and planning, with options for automatic defaults or answering questions in a file.
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Gather phase context through adaptive questioning before planning. Use --all to skip area selection and discuss all gray areas interactively. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).
安装前可以查看交给 AI 代理的指令内容。
How it works:
Output: {phase_num}-CONTEXT.md — decisions clear enough that downstream agents can act without asking the user again
</objective>
<execution_context> @${CLAUDE_PLUGIN_ROOT}/workflows/discuss-phase.md @${CLAUDE_PLUGIN_ROOT}/workflows/discuss-phase-assumptions.md @${CLAUDE_PLUGIN_ROOT}/workflows/discuss-phase-power.md @${CLAUDE_PLUGIN_ROOT}/templates/context.md </execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API.
</runtime_note>
Context files are resolved in-workflow using init phase-op and roadmap/state tool calls.
</context>
If DISCUSS_MODE is "assumptions": Read and execute @${CLAUDE_PLUGIN_ROOT}/workflows/discuss-phase-assumptions.md end-to-end.
If DISCUSS_MODE is "discuss" (or unset, or any other value): Read and execute @${CLAUDE_PLUGIN_ROOT}/workflows/discuss-phase.md end-to-end.
MANDATORY: The execution_context files listed above ARE the instructions. Read the workflow file BEFORE taking any action. The objective and success_criteria sections in this command file are summaries — the workflow file contains the complete step-by-step process with all required behaviors, config checks, and interaction patterns. Do not improvise from the summary. </process>
<success_criteria>
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Handle ActiveCampaign contact and marketing tasks through Rube MCP, a connection for agent tools. Find or create contacts, manage tags and subscriptions, enroll contacts in existing automated workflows, and create follow-up tasks.
中文简介正在准备中。当前显示英语简介。
Research competitors’ live Meta and Google ads to identify opening hooks, offers, calls to action, and landing pages. Receive a sourced creative brief and up to three test ideas adapted to your product.
中文简介正在准备中。当前显示英语简介。
Add website or app tracking, then use command-line tools to review traffic, signups, drop-off, and returning users across projects. Run A/B tests, which compare alternative headlines or buttons, and inspect results to guide changes.
中文简介正在准备中。当前显示英语简介。
Establish rules for when an AI agent should recall past context and save lasting decisions, corrections, preferences, and failures. Works with Markdown files or memory services, preserving decision history and surfacing conflicting records.
中文简介正在准备中。当前显示英语简介。
Audit local AI coding-agent sessions with agenttrace to identify spending, token use, tool failures, and operational problems. Produce readable or structured reports and define pass-or-fail thresholds for automated continuous integration checks.
中文简介正在准备中。当前显示英语简介。
Audit saved agent sessions for access to private files and evidence that secret values entered an agent's context. Get findings without displaying secrets, identify keys needing rotation, and inspect Claude Code or Codex sessions in a local report.
中文简介正在准备中。当前显示英语简介。