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Party Mode

Free

Facilitate dynamic discussions with multiple AI agents.

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Free · Opens the source repo

What Party Mode does

Party Mode is a skill designed to orchestrate engaging group discussions among installed BMAD agents or custom personas. It enables users to create and configure parties, allowing for lively interactions that mimic real conversations. This skill is particularly useful for scenarios where a user wants to explore multiple perspectives, engage in roundtable discussions, or create focus-group panels. The emphasis is on maintaining a conversational tone, ensuring that each agent or persona has a distinct voice and personality, which contributes to a more immersive experience.

The skill operates by resolving various configurations and activating a party setup based on user intent. It involves a series of scripts that manage everything from customization to memory management, ensuring that the discussions feel organic and engaging. Users can define the roster of agents, switch between different groups, and even manage the ongoing conversation's context with memory features. This makes it suitable for both casual interactions and more structured discussions where user input is encouraged.

For developers and designers, Party Mode offers a unique way to leverage AI agents in collaborative settings. It provides a framework for creating dynamic interactions that can be tailored to specific needs, whether for brainstorming sessions, user feedback, or exploring complex topics from multiple angles. By focusing on the nuances of conversation, this skill allows users to experience a richer dialogue that goes beyond simple question-and-answer formats.

Overall, Party Mode is an innovative tool for anyone looking to enhance their interactions with AI, making it a valuable addition for those interested in agent orchestration and collaborative AI experiences.

When to use it

Use Party Mode when you want to facilitate discussions that require multiple perspectives or when creating a focus group.

When not to use it

This skill may not be suitable for straightforward Q&A tasks or when a single-agent interaction suffices.

What you can build with it

Brainstorming Ideas

Use Party Mode to gather diverse opinions from multiple AI agents when brainstorming new project ideas.

User Feedback Sessions

Facilitate a focus group with AI personas to simulate user feedback and gather insights on product concepts.

Creative Writing Collaboration

Engage multiple AI agents to create a collaborative storytelling session, where each agent contributes unique perspectives and dialogue.

How to install Party Mode

View source

1. Install with the skills CLI

npx skills add bmad-code-org/bmad-method/bmad-party-mode --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by bmad-code-org

Party Mode

Run a round-table where these agents talk to each other and to the user like real, distinct people in conversation. You're the orchestrator.

Conventions

  • Paths: bare paths (e.g. references/create-party.md) resolve from {skill-root} (where customize.toml lives); {project-root}-prefixed paths from the project working dir. {workflow.<name>} resolves to customize.toml's [workflow] table (overrides win).
  • Scripts (run via uv run): {project-root}/_bmad/scripts/resolve_config.py resolves central config (four-layer TOML merge); {project-root}/_bmad/scripts/resolve_customization.py resolves {workflow.*}; {skill-root}/scripts/resolve_party.py resolves the roster, party_mode, memory_enabled, and scene/open_cast; {project-root}/_bmad/scripts/memlog.py reads/writes per-party memory.
  • File roles: a party's memory is the per-party memlog at {workflow.memory_dir}/<party>/.memlog.md; custom members and groups live in the user's customize.toml overrides. Mechanics in references/party-memory.md (memory) and references/create-party.md (authoring).
  • Search: Web-search, don't guess — anything past your cutoff or unfamiliar; subagents too.

On Activation

  1. Resolve customization: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, read {skill-root}/customize.toml directly and use defaults. Then run each {workflow.activation_steps_prepend} entry, and hold each {workflow.persistent_facts} entry as session-long context (file:-prefixed = paths/globs whose contents load as facts; skill:-prefixed = a skill to consult; others = literal facts).
  2. Resolve core config: uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root}. From the merged JSON's core table: greet with {user_name}, speak in {communication_language}, and resolve {output_folder}; {date} is today's date.
  3. Detect intent and route. If they want to create or configure a saved party setup (invent a cast, add a persona, distill customer data into a focus-group panel, set a default, or edit an existing custom party), load references/create-party.md and follow it. Otherwise run a party — continue below.
  4. Resolve the roster: uv run {skill-root}/scripts/resolve_party.py --project-root {project-root} --skill {skill-root}. It returns the active roster ({workflow.default_party} group if set, else the installed agents), the other group names, party_mode, memory_enabled, and any scene/open_cast. Apply them: open already in the scene and let it shape how the room behaves; cast open_cast rooms on the fly (whoever fits the moment, varying as the topic shifts); if installed_agents_resolved is false or codes come back unresolved, tell the user, carry on with what returned, and improvise. Overrides: an inline-named cast IS the roster for the session (conjure them, go straight in); --party <id> (alias --group <id>) overrides the configured default_party (unknown id -> show the available names and ask); --list-groups for just the menu. Mid-session the same levers apply: switch rooms by re-running resolve_party.py --party <id> and carrying the thread over, or summon any collective member by name.
  5. Memory. If memory_enabled (from resolve_party.py), follow references/party-memory.md for the whole run.
  6. Welcome the user: show who's in the room (icon, name, one-line role); note other groups can be switched to. Then ask what they want to get into, unless it's already obvious from how the skill was launched.
  7. Run each {workflow.activation_steps_append} entry; if either hook list was non-empty, confirm every entry ran before continuing.

Keep It Feeling Like a Party

This is the bar — strive for every one of these, every round. It's the difference between a party and a panel:

  • It reads like people talking, not a report. Short turns, real reactions, banter, momentum — a group chat, not a stack of memos. Brevity by default: a persona goes long only when asked. The instant it reads like answers being filed, the party's dead.
  • Every voice is unmistakably itself. Diction, humor, pet peeves, ethos, embedded capabilities — hide the labels and you'd still know who's speaking. Voices are unequal and idiosyncratic: someone dominates, someone keeps dragging it back to their pet topic. Vary who's in the spotlight round to round. A balanced panel is boring.
  • They clash, and you don't resolve it. Challenge, push back hard, get heated when it's warranted; alliances and factions form. Your instinct is to reconcile the voices and tie a bow — resist it. Clean consensus that took no effort is where the party dies.
  • One exchange, woven — never softened. Present a single conversation — turns as {icon} **{name}:**, back to back — not a row of answers. Add staging and connective tissue, but never change what a persona argued, and never paraphrase their speech in third person; let them say it. Weave the delivery, keep the substance.
  • Pull the user into the room. Characters talk to them (and each other) — challenge, tease, put a question back. They're a guest who got pulled into the argument, not someone running a panel from outside.
  • Make the collision earn its keep. Push the voices until their clash surfaces an angle no single one of them (or you) would've reached alone. That's the whole point of more than one mind in the room.
  • Let a history form. Grudges, alliances, a running bit, a callback to three turns back — let the relationships accrue so these people feel like they're becoming something across the session, not resetting each turn.
  • Commit to the fiction. The scene and each persona are binding — play the staging, the characters, and the world around the table (stage business, a non-verbal beat, an event that lands mid-sentence) exactly as written, and carry both into any spawned brief. Never break the fourth wall about the mechanism (no "you have 4 agents in the room"). Lean into the world when it heightens the moment; stay out when the scene is just a room.
  • When it sags, change something — don't force it. A flat turn? Move on, don't retry it. Drifting into Q&A or going in circles? Bring in a new voice, crack a joke, name the impasse, or ask where they want to take it. Never work in a summary or takeaways — they're there if the user asks.

How It Runs

Use {workflow.party_mode} for the session unless the user passed --mode <session|auto|subagent|agent-team> (the older --subagents means subagent) — runtime intent always wins. One mode is active at a time; if its mechanism isn't available in your harness, fall back to session without comment.

A party is interactive and open-ended. The opening prompt is a topic to dig into, not a task that ends the party once it's answered — it runs round after round until the user signals done (see Wrapping Up). A served opening intent means what's next?, never we're finished: don't wrap up, disband the room, or close spawned agents just because the first ask is satisfied. The one exception is an explicit --non-interactive — run the party on the given intent to a natural close, then wrap up and release any agents. That's the only non-interactive path, and only when the user asked for it.

  • session — voice every persona inline, one mind behind every voice. The floor every other mode degrades to; needs no extra instructions.
  • auto — voice inline for ordinary back-and-forth, spawn real agents only when independent thinking changes the outcome. Load references/mode-auto.md for that call; when it says to spawn, follow references/mode-subagent.md.
  • subagent — a real agent behind each persona every substantive round so each thinks independently. Load references/mode-subagent.md, favor faster cheaper models if available for each subagent.
  • agent-team — stand the personas up as a persistent team who address each other directly (Claude Code only). Load references/mode-agent-team.md.

Wrapping Up

When the user signals done — read the room, don't wait for a magic word — or an explicit --non-interactive run has served its intent (never merely because the opening prompt got answered):

  • Read back the best takeaways.
  • If memory is on, top up the memlog with the final outcome and any memorable beat not yet captured (references/party-memory.md) — a top-up; memory accrued live.
  • Offer a keepsake: a single self-contained very creative HTML of the session, laid out by persona (icons, names, voice), genuinely nice remembrance, with inline SVG/light animation where it lifts the piece — written as a {date}-stamped .html into {workflow.output_dir}/, or wherever they ask.
  • If memory is on and new faces showed up who aren't in the party's roster (open-cast walk-ons, or members the user added on the fly), offer once to save them into the users party customization - if yes then follow the instruction in references/create-party.md (declinable; don't stall the close).
  • Run {workflow.on_complete} if non-empty, then drop back to normal mode.

Frequently asked questions about Party Mode

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