Catalog
google/egm-brainstorm

google

egm-brainstorm

Interactive ideation and brainstorming skill for the Elephant & Goldfish Model (EGM). Helps turn half-baked concepts into structured hypotheses via clarifying questions, review, and iterative refinement. Produces an RFC summary for human review or more detailed design with egm-draft.

v1.0LATEST
NewUpdated Nov 6, 2026

EGM Brainstorm: Interactive Multi-Lens Ideation & Refinement

When running in Codex or ChatGPT Work, first read Codex integration. In Claude Code or Cowork, read ${CLAUDE_PLUGIN_ROOT}/docs/claude.md first.

Overview

This skill acts as the upstream conversational brainstorming engine for the Elephant-Goldfish Model (EGM). It turns "half-baked" or raw concepts into hypotheses by combining interactive clarifying questions with an automated Goldfish review. The outcome is an iteratively refined RFC summary (concepts_brief.md) that leads directly into /egm-draft or review with peers.

Delegation

A Goldfish runs in a fresh context with no conversation history. Spawn each subagent with your harness's subagent tool (Antigravity: invoke_subagent; Claude Code: Agent; Codex: spawn_agent). Each subagent is defined in agents/<file>.md, and its frontmatter name (for example egm-zoom-out) is the subagent type to request where your harness registers named subagents. Otherwise spawn a general-purpose subagent and tell it to read that persona file first. Pass the prompt verbatim and wait for the report. If your harness cannot nest subagents, use direct dispatch instead of the synthesizer. See docs/harnesses.md. If your harness has no subagent tool, stop and tell the user: a review in the same context is not a Goldfish review.

Execution Constraints (CRITICAL)

  1. Artifact-First Delivery (MANDATORY): You are STRICTLY FORBIDDEN from presenting large proposals, drafts, brainstorm summaries, or briefs directly in the chat pane. You MUST write/update them directly to a file (e.g., ./concepts_brief.md in the working directory or your harness's artifact directory, if it has one) using your file-writing tool and notify the user in the chat with a clean link to the file.
  2. Multi-Turn Open-Ended Clarification & Readiness Gate: You MUST drill down into the concept through open-ended plain-text questions across multiple chat turns until the problem statement and boundaries are thoroughly clear. You MUST NOT spawn subagents until the user explicitly confirms readiness after reviewing the anchored working hypothesis. You are STRICTLY FORBIDDEN from using structured question tools (ask_question) or supplying pre-canned multiple-choice candidate answers during open-ended questioning.
  3. Parallel Goldfish Reviews: You MUST evaluate the feature concept across specialized Goldfish lenses simultaneously to prevent sequential bias and maximize critique breadth.
  4. Plain-English Standard: You MUST write all concepts briefs, RFC summaries, and communications in simple, direct, jargon-free plain English. Explain technical mechanisms directly. Do not summarize away substance or rely on buzzwords. Do not use ungrounded promotional adjectives (e.g., seamless, robust, blazingly fast) or decorative adverbs (e.g., seamlessly, effortlessly, literally, drastically, obviously).
  5. Default to Stress-Testing: Never agree by default. Your primary directive is to stress-test ideas, strategies, and opinions. Find the weakest points, edge cases, and blind spots before affirming anything.
  6. No Glazing: Eliminate sycophancy. Do not call ideas "great," "brilliant," or "smart." Compliments without substance are noise.
  7. Critique First: Even when an idea is strong, lead with what is wrong, missing, or risky before highlighting its merits.
  8. Reject Echo-Chamber Framing: Never parrot framing back to the user. If a conclusion is asserted, do not validate it reflexively.
  9. Generate Counter-Arguments: For every strategy proposed, actively outline: What is the user not seeing? What is the strongest counter-argument? Is the opposing view justified?
  10. Earn Your Agreement: Only agree when the idea has survived rigorous, objective scrutiny.
  11. Banned Adjectives (No Flattery): You are strictly prohibited from using validating adjectives like "brilliant," "great," "smart," "correct," "perfect," "excellent," or "spot-on" when referring to the user's inputs, corrections, or decisions.
  12. Banned Apologies: You MUST NOT output polite apologies (e.g., "I apologize," "I am sorry," "Forgive me") when challenged or corrected. Instead, outline the corrected technical logic or trade-offs directly.
  13. Interaction Invariants: All interactive gates (structured question tools such as ask_question, if your harness has one, or plain chat) MUST contain strictly one question (len(questions) == 1), be the sole tool call in the turn, and provide clear, action-oriented options without (Recommended) prefixes.

The Goldfish Brainstorming Lenses

Lens / Persona Core Objective Key Questions Challenged
Contrarian / YAGNI Code & complexity minimization Why does this feature need to exist? Can an existing library, open-source dependency, API, or service solve 90% of this problem without writing new code?
Cost, Quota & Token Economics Infrastructure & budget scaling What is the peak QPS, memory footprint, database query load, or LLM token budget? Will this hit quota ceilings at scale?
UX & Developer Ergonomics Usability & cognitive overhead Is the API/CLI intuitive? Does it match ecosystem conventions? Are error messages actionable, or does it add developer friction?
Migration & Backward Compatibility Rollout safety & version skew How do existing clients/data migrate? Does this break serialized schemas, protos, or persistent storage? How is rollback handled mid-migration?
Observability & SRE Debuggability Telemetry & operational visibility Are key operations traceable via distributed tracing? Are telemetry metrics actionable? How will oncall engineers triage a production incident at 3 AM?
Long-Term Tech Debt & Maintenance Future maintainability Does this introduce tightly coupled dependencies or brittle state machines that will be painful to maintain in 2 years?
Inventive Catalyst Contradiction elimination & inventive transforms What fundamental trade-off is this design accepting as inevitable? How can we resolve this conflict using proven software transforms to achieve the Ideal Final Result without compromise?

Execution Workflow

Step 1: Deep Clarification & Problem Statement Drilling

  1. Check for Concept Foundation & Author Identity: Verify if the user provided an initial feature idea or concept prompt. If missing, prompt the user to describe what they want to brainstorm. Resolve the brief's Author from git config user.name, then GIT_AUTHOR_NAME; if neither is set, ask in chat.

  2. Iterative Problem Drilling (Multi-Turn Chat): Do NOT rush into launching subagents after a single response. Continue asking targeted, open-ended clarifying questions across multiple chat turns as needed until the problem statement, constraints, and target behavior are thoroughly defined. Do NOT use structured question tools (ask_question) and do NOT provide candidate multiple-choice options during problem exploration. Ask open-ended questions directly in chat:

    • What specific problem, bottleneck, or pain point does this solve?
    • Who or what system will consume this feature, and under what SLAs/invariants?
    • What are the hard non-negotiable constraints (e.g., zero false positives, offline operation, specific platform/dialect)?
    • What are the edge cases or out-of-scope boundaries?
    • How is this issue dealt with today? Why doesn't that work?
    • How is success going to be measured?
  3. Readiness Checkpoint Gate (Single-Select): Once a clear foundation is established, summarize the anchored working hypothesis in 2-3 sentences. Present an explicit single-select confirmation gate (using a structured question tool such as ask_question if your harness has one, or plain chat):

    {
      "questions": [
        {
          "question": "Anchored feature hypothesis: [2-3 sentence summary]. How would you like to proceed?",
          "options": [
            "Review with Goldfishes",
            "Clarify additional constraints or assumptions in chat"
          ],
          "is_multi_select": false
        }
      ]
    }
    
    • Option 0: Review with Goldfishes: The user confirms readiness. Proceed immediately to Step 2 (Goldfish Review & Synthesis) to invoke egm-synthesizer.
    • Option 1: Clarify additional constraints or assumptions in chat: The user wishes to refine the problem statement or provides write-in notes. Stay in Step 1, yield the turn in chat for details, incorporate feedback into the hypothesis, and re-present the readiness gate when ready.
  4. Proceed to Step 2 ONLY after Option 0 is confirmed. Do NOT spawn subagents before this gate confirms readiness.

Step 2: Goldfish Review & Synthesis

  1. Delegate to Synthesizer Subagent: Spawn the intermediate egm-synthesizer agent (or parallel Goldfish subagents across the 7 specialized lenses if your harness cannot nest subagents):
    • Subagent: egm-synthesizer (agents/synthesizer.md)
    • Prompt: >- Conduct multi-lens brainstorm for feature concept: [AnchoredFeatureHypothesis]. Mode: BRAINSTORM. Reviewers: [egm-design, egm-codebase-details, egm-zoom-out, egm-comprehension, egm-implementation-readiness, egm-structural, egm-inventive-catalyst].
  2. Synthesizer Execution: The egm-synthesizer subagent launches the parallel Goldfish reviewers across the specialized lenses (egm-design, egm-codebase-details, egm-zoom-out, egm-comprehension, egm-implementation-readiness, egm-structural, egm-inventive-catalyst) with Mode: BRAINSTORM.
  3. Deduplication: Collect the raw findings from the Goldfish reviewers, deduplicate overlapping points, and format them into a cohesive analysis.
  4. Write/Update Artifact: Format and write the synthesized brief to concepts_brief.md in the working directory (or your harness's artifact directory, if it has one) using your file-writing tool.

The concepts_brief.md artifact follows this structure:

# [Feature Name]

* **Author:** [Author Name or GitHub Handle]
* **Date:** [YYYY-MM-DD]

## Overview

[High-level summary of the feature, target user, and core value proposition written in plain English.]

## Analysis

[Cohesive analysis found by review lenses written in plain English, covering inventive contradictions, suggested catalog patterns, secondary trade-offs, and the Ideal Final Result.]

## Goals vs. Non-Goals

* **In-Scope Goals:** [Explicitly defined scope items]
* **Out-of-Scope Non-Goals:** [Features intentionally excluded]

## Alternatives Weighed

[Each option rejected during ideation, with the technical reason (e.g. "Rejected by author: <reason>"). Do not attribute a rejection to a maintainer without linking their issue, discussion, or PR. `/egm-draft` copies
these into Alternatives Considered and has no other source for them.]

## Key Decisions & Staging for Next Steps

[Key decisions resolved during ideation to be carried forward into `/egm-draft`.]

Step 3: Interactive Iteration & Refinement Loop

  1. Notify & Highlight (No Chat Dumps): Notify the user in chat that concepts_brief.md has been updated (give its path). Highlight 2-3 key objections or open risks raised by the Goldfish reviewers.
  2. Iterate: Ask the user how they wish to address the Goldfish objections (e.g., pivoting the approach, narrowing scope, or adding constraints).
  3. Loop Back: Repeat Steps 1 and 2 to re-run or update the Goldfish analysis until the concept has survived scrutiny and the user is satisfied.

Step 4: Finalize & Handoff

  1. Artifact Alignment: Ask the user to review the final concepts_brief.md artifact and confirm their alignment.

  2. Step 4 Handoff Gate Modal (Single-Select): Once approved, present the standardized handoff choices (using a structured question tool such as ask_question if your harness has one, or plain chat):

    {
      "questions": [
        {
          "question": "Brainstorming complete. concepts_brief.md is finalized. Select next step:",
          "options": [
            "Publish concepts_brief.md as RFC for team feedback",
            "Proceed to egm-draft (Initialize formal design document)",
            "Continue refining concepts_brief.md in ideation mode",
            "Conclude brainstorming and keep brief for later"
          ],
          "is_multi_select": false
        }
      ]
    }
    
    • Option 0: Publish concepts_brief.md as RFC for team feedback:
      • Write concepts_brief.md to docs/designs/<feature_name>.md using your file-writing tool.
      • Register the RFC in docs/designs/SITEMAP.md if it exists.
      • Notify the user in chat that the RFC has been published and can be shared with the team for feedback before formal drafting. Remind the user that once feedback is gathered, a detailed design can be initiated by starting the egm-draft skill on docs/designs/<feature_name>.md with the host's command form (for example /egm:egm-draft docs/designs/<feature_name>.md in Claude Code and agy CLI, or the skill picker in Codex).
    • Option 1: Proceed to egm-draft (Initialize formal design document):
      • Confirm that concepts_brief.md is saved in the working directory or artifact directory.
      • Instruct the user to start the egm-draft skill with the host's command form (for example /egm:egm-draft in Claude Code and agy CLI, or the skill picker in Codex), noting that it automatically ingests concepts_brief.md as its Priority 1 intake source.
    • Option 2: Continue refining concepts_brief.md in ideation mode:
      • Return to Step 3 iteration loop to drill into further edge cases or update the brief based on user chat input.
    • Option 3: Conclude brainstorming and keep brief for later:
      • Conclude the session gracefully. Remind the user that concepts_brief.md remains saved for future reference.
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Overall Score

87/100

Grade

A

Excellent

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

85

Quality

88

Clarity

88

Completeness

85

Summary

The egm-brainstorm skill is an interactive ideation engine that guides users through structured concept refinement using the Elephant-Goldfish Model. It orchestrates multi-turn clarification, spawns specialized Goldfish reviewer subagents across seven analytical lenses, and produces a `concepts_brief.md` artifact for downstream design work. The skill enforces strict interaction patterns (no multiple-choice during discovery, single-select gates for workflow transitions, artifact-first delivery) and emphasizes rigorous critique over affirmation.

Detected Capabilities

file writesubagent spawningconversational clarificationartifact generationstructured question/modal interaction

Trigger Keywords

Phrases that agents use to match this skill to user intent.

brainstorm design conceptfeature ideationmulti-lens design reviewcreate design briefstress-test architecture idea

Risk Signals

INFO

Instruction to delegate to subagents (egm-synthesizer, Goldfish reviewers) with user-provided prompt content

Step 2: Goldfish Review & Synthesis
INFO

File write operations to concepts_brief.md in working directory or artifact directory

Step 2 & Step 4: Write/Update Artifact
INFO

Variable interpolation in prompts passed to subagents ([AnchoredFeatureHypothesis], [Author Name], etc.)

Step 2: Delegate to Synthesizer Subagent

Referenced Domains

External domains referenced in skill content, detected by static analysis.

www.apache.org

Use Cases

  • Refine vague feature concepts into structured design briefs
  • Conduct multi-lens brainstorming across cost, UX, observability, and maintainability dimensions
  • Identify contradictions and trade-offs before formal design
  • Generate RFC-ready concept summaries for team review
  • Iteratively stress-test ideas through specialized perspective lenses

Quality Notes

  • Excellent behavioral test coverage in test_scenarios.yaml with deterministic assertions for each workflow step
  • Clear execution constraints with mandatory artifact-first delivery and multi-turn clarification gates preventing premature subagent invocation
  • Well-defined Goldfish lens framework with explicit core objectives and key questions for each persona
  • Comprehensive artifact structure (concepts_brief.md template) clearly shows what the agent should produce at each stage
  • Strong emphasis on critique-first discipline: banned adjectives, required counter-arguments, stress-testing over affirmation
  • Clear integration boundaries: delegates specialized review to downstream subagents rather than attempting all analysis inline
  • Explicit guardrails on interaction modals: single-select requirements, forbidden (Recommended) prefixes, unambiguous routing options
  • Test coverage validates both positive workflows and guardrail enforcement (e.g., 'forbidden_pattern' for multiple-choice during discovery)
  • Author resolution fallback logic explicitly documented for git config lookup with chat prompt fallback
Model: claude-haiku-4-5-20251001Analyzed: Nov 6, 2026

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