Agent skill

Brainstorm Chorus

by Chorus-AIDLC in Chorus-AIDLC/Chorus

Optional divergent-then-convergent dialogue for fuzzy ideas.

AGPL-3.0Auto-check passedAgent Workflows

Install Brainstorm Chorus

skills CLI
$ npx skills add Chorus-AIDLC/Chorus --skill brainstorm-chorus -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Chorus-AIDLC/Chorus brainstorm-chorus --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Chorus-AIDLC/Chorus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/public/skill/brainstorm-chorus .claude/skills/brainstorm-chorus && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
brainstorm-chorus
GitHub stars
1.2k
Token cost
~2.5k tokens
SKILL.md length
1,167 words
Files
1
Skills in repo
64
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Optional divergent-then-convergent dialogue for fuzzy ideas.

  • Works in 7 steps: Gather context → Divergent Q&A → Propose 2-3 directions → …
  • Tasks that involve Brainstorming
  • SKILL.md covers When invoked, Research boundary, Hard rules and Step-by-step, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Brainstorm Chorus is an agent skill from Chorus-AIDLC/Chorus. Optional divergent-then-convergent dialogue for fuzzy ideas. Invoked from the idea skill as a prelude to structured elaboration; produces one ElaborationRound of decision-point Q&A and returns control. Never writes files, never posts comments, never resolves elaboration.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle). The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Brainstorming

Example prompts

  • “/brainstorm-chorus”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Gather context
  2. Divergent Q&A
  3. Propose 2-3 directions
  4. Wait for explicit approval
  5. Synthesize decision-point Q&A
  6. Persist the round
  7. Return control

What it can do on your machine

Read from SKILL.md and the folder at commit 37d62d9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Brainstorm Chorus loads about 2.5k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 1,167 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Chorus-AIDLC/Chorus at commit 37d62d9, republished under its AGPL-3.0 licence (© Chorus-AIDLC). 1,167 words, ~2,473 tokens.

Download SKILL.mdSave it as .claude/skills/brainstorm-chorus/SKILL.md (or your agent's skills folder).
name
brainstorm-chorus
description
Optional divergent-then-convergent dialogue for fuzzy ideas. Invoked from the idea skill as a prelude to structured elaboration; produces one ElaborationRound of decision-point Q&A and returns control. Never writes files, never posts comments, never resolves elaboration.
license
AGPL-3.0
metadata.author
chorus
metadata.version
0.17.0
metadata.category
project-management
metadata.mcp_server
chorus

Brainstorm Skill

A divergent-then-convergent dialogue cadence for ideas whose direction is still being formed. Compresses the conversation into one ElaborationRound of decision-point Q&A — same shape as a structured elaboration round, but the questions, options and answers are synthesized at the end of the conversation rather than asked up front.

This skill is a producer of one elaboration round; the scheduler decision (resolve vs. follow-up) belongs to the calling idea skill.


When invoked

Only as a sub-step of the idea skill, only after the user has explicitly opted in via AskUserQuestion. Never run standalone, never run without user opt-in. The expected entry point is the idea skill's "Step 4.5: Brainstorm Mode (Optional Prelude)" — see the idea skill for the surrounding flow.


Research boundary

Reuse the calling Idea's findings and follow research-chorus (<BASE_URL>/skill/research-chorus/SKILL.md) (shared rules); switching into brainstorm does not grant a second investigation. If the goal needed focusing first, after the user selects a direction and before synthesis, apply the caller's optional research decision once with that focus. Return any findings alongside the synthesized round for the Idea caller to persist. Research does not choose the user's direction, remove the opt-in/selection gate, write files/comments, or resolve elaboration.

Hard rules

  1. One question at a time. Each AskUserQuestion call MUST contain exactly one question entry. Wait for the answer before asking the next.
  2. Multi-choice preferred. Frame each question as 2-4 options where possible. Open-ended is acceptable when options would be premature, but lean toward concrete choices.
  3. Propose 2-3 directions before stopping divergence. Once the requirement direction is clear enough to enumerate, present 2-3 distinct approaches in a single AskUserQuestion. Mark exactly one as the recommended option per the host tool's AskUserQuestion recommendation convention (the spec does not dictate a specific marking format — follow the tool's documentation).
  4. Explicit user approval required to exit divergence. Do NOT proceed to synthesis until the user has selected one of the proposed directions.
  5. No files written. Do NOT write any markdown, design doc, scratch file, or any other file to disk. The conversation produces an ElaborationRound and nothing else on disk.
  6. No comments posted. Do NOT call chorus_add_comment from this skill. Comments belong to the idea skill or the user, not to the brainstorm step.
  7. No design-doc handoff. Do NOT invoke writing-plans, writing-skills, or any skill whose purpose is to produce a design document. The brainstorm output is the synthesized round — there is no separate doc.
  8. No validate_elaboration call. Do NOT call chorus_pm_validate_elaboration from this skill. Whether to resolve the elaboration or open a follow-up round (chorus_pm_start_elaboration again) is the calling idea skill's decision, not this skill's.

Step-by-step

1. Gather context

Before asking the first divergent question, read the idea and surrounding project state. Mirror the idea skill's gather-context list:

chorus_get_idea({ ideaUuid })
chorus_get_documents({ projectUuid })
chorus_get_document({ documentUuid })   # for any document worth reading in full
chorus_get_proposals({ projectUuid, status: "approved" })   # to understand patterns
chorus_list_tasks({ projectUuid })   # to avoid duplicating existing work
chorus_get_comments({ targetType: "idea", targetUuid: ideaUuid })

Skim each result for: stated background, stated requirements, stated constraints, and what is conspicuously NOT stated. The gaps are the questions worth asking.

2. Divergent Q&A

Ask one question at a time via AskUserQuestion. Aim to surface:

  • The goal the idea is trying to serve (often more abstract than the idea statement).
  • The constraints that exclude entire branches of solution space (deadlines, compatibility, scope).
  • The success criteria — how will the user know this is done.

Keep each question single-purpose. If you need to ask three things, that is three rounds, not one combined AskUserQuestion.

3. Propose 2-3 directions

When the goal, constraints, and success criteria are clear enough that you can name distinct approaches, present them in a single AskUserQuestion:

AskUserQuestion({
  questions: [
    {
      question: "<the convergence question>",
      header: "<short header>",
      options: [
        { label: "Option A (Recommended)", description: "<what + tradeoff>" },
        { label: "Option B", description: "<what + tradeoff>" },
        { label: "Option C", description: "<what + tradeoff>" }
      ],
      multiSelect: false
    }
  ]
})

The recommendation must be visibly marked to the user using the host tool's AskUserQuestion convention. State why you recommend it — usually a sentence about the dominant tradeoff.

4. Wait for explicit approval

Do not proceed to synthesis if the user has not selected one of the options. If the user picks "Other" with free text, treat that as a new constraint — go back to step 2 or step 3 with the refined direction.

5. Synthesize decision-point Q&A

For each material decision the user made during the conversation, build one ElaborationQuestion. A "material decision" is a moment where the user chose between alternatives or set scope explicitly. Map each decision per the synthesis spec below.

Show full SKILL.md (473 more words)Show less
6. Persist the round

Call chorus_pm_start_elaboration with the synthesized questions:

chorus_pm_start_elaboration({
  ideaUuid,
  depth: "standard",
  questions: [
    { id: "q1", text: "...", category: "...", options: [...] },
    ...
  ]
})

Then submit the answers in one call:

chorus_answer_elaboration({
  ideaUuid,
  roundUuid,
  answers: [
    { questionId: "q1", selectedOptionId: "...", customText: "<rationale>" },
    ...
  ]
})
7. Return control

Stop here. Do NOT call chorus_pm_validate_elaboration. The idea skill's caller now decides:

  • If the synthesized round answers cover everything → caller obtains human confirmation, then resolves with chorus_pm_validate_elaboration.
  • If gaps remain → caller opens a structured Round 2 by calling chorus_pm_start_elaboration again.

The depth of any follow-up round is the caller's call, not yours.


Synthesis spec

Each material decision becomes exactly one ElaborationQuestion with these fields:

FieldSource
textThe decision question, phrased neutrally. Example: "Which depth-model placement?"
categoryfunctional, non_functional, business_context, technical_context, user_scenario, or scope — derived from the topic.
optionsAll directions that were considered, length 2-5. Collapse near-duplicates into one option.
selectedOptionIdThe id of the option the user approved.
customTextA 1-3 sentence rationale capturing the constraint or tradeoff that drove the choice. Not a transcript dump.

Rules:

  • A customText longer than ~3 sentences is a sign you are summarizing transcript instead of capturing rationale. Cut.
  • An options array of length 2 with binary "yes / no" framing is a sign you pre-narrowed alternatives. Re-examine — there are usually at least three meaningfully different paths, even if two of them get rejected quickly.
  • Skip "decisions" that were never genuinely contested. If the user agreed instantly to the only proposal, that is information for the idea content, not a decision-point Q&A.

Anti-patterns

Do not do any of the following. Each has a specific failure mode that this skill must prevent:

  • Single-summary customText blob. Compressing the entire conversation into one ElaborationQuestion with a long markdown summary in customText. The schema is multi-question for a reason — preserve the decision granularity.
  • Transcript-as-comment. Posting the raw conversation log as a comment on the idea (or anywhere). The synthesized round IS the artifact. Raw transcripts pollute the audit trail with noise.
  • File writes. Writing any markdown, design doc, plan, or scratch file to disk. There is no design doc in this flow. This is a deliberate divergence from the upstream superpowers/brainstorming cadence — read the design.md if confused.
  • validate_elaboration calls. Closing the elaboration phase from this skill. The lifecycle decision belongs to the idea skill. Calling it here strips the caller of its scheduler role.
  • writing-plans / design-doc handoff. Invoking any skill that produces an implementation plan or design document. The Chorus pipeline already has Proposal → Document Drafts → Task Drafts for that — the brainstorm output feeds them through ElaborationRound, not through external doc skills.
  • Length-2 binary "yes / no" framings. Reducing every decision to "do this thing — yes / no". Almost always the genuine alternatives are 3+ approaches with meaningfully different tradeoffs. Length-2 framings often mean the divergent phase ended too early.
  • Asking multiple questions in one AskUserQuestion. The cadence is one question per turn during divergence, then one final convergence question with 2-3 options. Combining unrelated questions is a sign you are rushing.

© Chorus-AIDLC, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in public/skill/brainstorm-chorus of Chorus-AIDLC/Chorus.

Open the folder on GitHubat commit 37d62d9

Compare with similar skills

Brainstorm Chorus next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Brainstorm Chorus compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brainstorm Chorus this skillChorus-AIDLC/Chorus1.2k—~2.5kAutomated safety check: PassAGPL-3.0
Brainstormingobra/superpowers297k1 repos~2.5kAutomated safety check: PassMIT
Brainstormingxpinjection/test-driven-spring-boot11252 repos~2.6kAutomated safety check: PassMIT
Yao Meta Skillyaojingang/yao-meta-skill2.7k—~768Automated safety check: PassMIT
Typesafe AIOpenAgentsInc/openagents4559 repos~2.5kAutomated safety check: PassMIT
Trellis StartROYIANS/foliq-print-template-designer1366 repos~646Automated safety check: PassMIT

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Categories

Questions about Brainstorm Chorus

What does Brainstorm Chorus do?

Optional divergent-then-convergent dialogue for fuzzy ideas. Brainstorm Chorus is an agent skill from Chorus-AIDLC/Chorus. Optional divergent-then-convergent dialogue for fuzzy ideas.

When should I use Brainstorm Chorus?

Brainstorm Chorus fits situations like: tasks that involve Brainstorming.

How do I install Brainstorm Chorus in Claude Code?

Run `npx skills add Chorus-AIDLC/Chorus --skill brainstorm-chorus -a claude-code`. Or copy the skill folder (public/skill/brainstorm-chorus in Chorus-AIDLC/Chorus) into .claude/skills/brainstorm-chorus in your project. Claude Code loads it when a task matches its description.

How do I install Brainstorm Chorus in Codex?

Run `npx skills add Chorus-AIDLC/Chorus --skill brainstorm-chorus -a codex`. Or copy the skill folder (public/skill/brainstorm-chorus in Chorus-AIDLC/Chorus) into .agents/skills/brainstorm-chorus in your project. Codex loads it when a task matches its description.

Can I use Brainstorm Chorus in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Chorus-AIDLC/Chorus --skill brainstorm-chorus -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brainstorm-chorus, .gemini/skills/brainstorm-chorus, .github/skills/brainstorm-chorus and .opencode/skills/brainstorm-chorus in your project.

What does Brainstorm Chorus need to run?

SKILL.md names no scripts, command-line tools or credentials: Brainstorm Chorus is instructions for the agent only.

Does Brainstorm Chorus access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Brainstorm Chorus safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Brainstorm Chorus use?

Brainstorm Chorus is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brainstorm Chorus use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Brainstorm Chorus?

Skills that share tags, products or a category with Brainstorm Chorus: Brainstorming (obra/superpowers, 297k stars), Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars) and Typesafe AI (OpenAgentsInc/openagents, 455 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brainstorm Chorus?

Chorus-AIDLC (a GitHub organization) maintains it in Chorus-AIDLC/Chorus, which has 1,192 GitHub stars. The repository holds 64 skills in this directory. The repository was last updated on October 9, 2026.

Source: Chorus-AIDLC/Chorus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.