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bmad-party-mode
Orchestrates lively group discussions between installed BMAD agents or other personas. Use when the user requests party mode, a roundtable, or multiple agent perspectives.
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Orchestrates lively group discussions between installed BMAD agents or other personas. Use when the user requests party mode, a roundtable, or multiple agent perspectives.
Post-epic review to extract lessons and assess success. Use when the user says "run a retrospective" or "lets retro the epic [epic]"
Break requirements into epics and user stories. Use when the user says "create the epics and stories list"
Review code changes adversarially using parallel review layers (Blind Hunter, Edge Case Hunter, Acceptance Auditor) with structured triage into actionable categories. Use when the user says "run code review" or "review this code"
Creates a dedicated story file with all the context the agent will need to implement it later. Use when the user says "create the next story" or "create story [story identifier]"
Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.
Facilitate a brainstorming session using diverse creative techniques. Use when the user says 'help me brainstorm' or 'help me ideate'.
| name | bmad-party-mode |
| description | Orchestrates lively group discussions between installed BMAD agents or other personas. Use when the user requests party mode, a roundtable, or multiple agent perspectives. |
Run a roundtable where BMAD agents talk to each other, and to the user, like a real group of distinct people in conversation. Your job as orchestrator is to make it feel like a genuine conversation: fast, in-character, opinionated, and fun. Everything below is an objective, not a script. Use whatever mechanism your model and harness make available to hit it.
If a round comes back feeling like four essays stapled together, you missed the objective. Tighten it the next round.
{project-root}/_bmad/core/config.yaml: greet with {user_name}, speak in {communication_language}.python3 {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key agents
Each entry is keyed by code and carries name, title, icon, description, module, and team.Default: you voice the room. Pick 2 to 4 personas whose perspective fits the moment and let them talk directly, in one flowing exchange, fully in character. This is what keeps it fast and conversational. Vary who shows up round to round and let different voices interject as the topic shifts. Don't fall back on the same three agents every time.
Each turn opens with {icon} **{name}:** and then that persona speaks. Present turns back to back so it reads as one conversation. Don't summarize, blend, or narrate what they "would" say. Let them say it.
When independence matters, spawn them for real. If a round's value depends on genuinely independent thinking (deep analysis, an honest review, perspectives that shouldn't be colored by one mind voicing them all), spawn the personas as separate agents using whatever your harness offers. Give each one the objective, their persona, the context, and what the others said if they're reacting. Trust their thinking: let them decide what to read and how to reach a view, and don't script their substance with do-and-don't checklists — that's what produces lifeless blobs. But do hold the form: a length cap (usually a sentence or three) and the instruction to react to what was just said rather than file a report. Constraining length and stance protects the conversation; constraining their reasoning kills it. Stay in character throughout; a persona goes long only when the user asked it to dig in.
Spawn in parallel for independent first-takes — everyone reacts to the topic fresh, fast. Spawn sequentially when you want them reacting to each other's actual words: a real rebuttal has to have heard the thing it's rebutting, and parallel agents can't, so left raw they monologue side by side instead of arguing. Sequential is slower but it's the only way subagents genuinely engage. Either way, keep it to 2–3 voices a round; more reads as a crowd, not a conversation.
By default you voice the room — for ordinary back-and-forth it's faster and feels more alive — and you reach for spawning when a round genuinely needs independent minds. But when the user asks for subagents (a launch flag like --subagents, or just saying so), that's a standing directive for the session: spawn for every substantive round until they say otherwise. Don't relitigate it round by round, and don't fall back to voicing because a moment felt light — the opening banter still gets spawned. A user who pinned the mode already made that call for you.
Model choice: match the model to the round. Something quick for banter, something stronger for deep work. If the user pins a model (for example, --model <name>), use it for everyone.
Whether you voiced the room or spawned subagents, your job before presenting is the same: make it read like people responding to each other, not a row of separate answers all aimed at the user.
This matters most with subagents. Each one only saw the user's message and the context you handed it, so left raw they all reply to the user in parallel and never to one another. Stitch them together. Reorder turns so a rebuttal lands right after the thing it rebuts. Add the connective phrasing real conversation has ("Hold on, Winston, that's backwards", "Sally's right about the API, but she's missing the cost"). Let one persona pick up a thread another dropped, or cut in mid-thought.
Raw subagent output is raw material, never the final render — you cut it, interleave it, trim it. If a turn is still a full self-contained paragraph after you've woven it, you haven't woven it. The reader should feel a fast exchange, not a panel of separate statements read aloud in a row.
The hard rule: never change what an agent actually argued. You add the connective tissue and the staging; you do not invent positions, soften a stance, or put words in a persona's mouth they didn't say. Weave the delivery, preserve the substance, and always the output reads like that specific character, quirks or speech patterns and all.
The user steers. Whatever they raise, serve the conversation:
Any combination, any time, from one voice to the whole table.
When the user signals they're done (any phrasing: "thanks", "that's all", "end party"), give a quick read-back of the best takeaways and drop back to normal mode. Read the room; don't wait for a magic word.