brainstorming
Structured idea generation + multi-LLM debate for the product-owner stage.
Skill by avelikiy
Install
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About
Use cases: design, ml
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/brainstorming
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Task,mcp__great_cto_llm_router__ask_kimi
What's inside
- Skill name
brainstorming- Description
- Structured idea generation + multi-LLM debate for the product-owner stage. Diverge (generate genuinely different bets), debate (a 4-persona panel on 4 models argues over 2 rounds), converge (synthesize a recommendation). Used by product-owner before architect; available to architect for design-space exploration.
- License
- MIT
- Allowed tools
- Read,, Write,, Task,, mcp__great_cto_llm_router__ask_kimi
- Instructions
- 81 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# brainstorming
Idea work has three movements: **diverge → debate → converge**. Most teams skip
the middle one and converge on the first plausible idea. The debate panel is the
point of this skill.
## 1. Diverge — generate genuinely different bets
From a *framed problem* (who · cost-of-pain · why-now · success metric), produce
**3–5 distinct approaches** — different bets, not cosmetic variants. Force
diversity along at least one axis each:
- **different user** (who you serve first)
- **different wedge** (the one feature you lead with)
- **different scope** (concierge/manual vs full self-serve)
- **different business shape** (tool you sell vs outcome you deliver)
For each: *the core bet · the smallest version that tests it · the main risk.*
Reject near-duplicates — if two options share the same bet, drop one and push
for a more contrarian alternative.
## 2. Debate — the idea-debate panel
Four personas, **four different models**, two rounds. Model diversity matters:
different model families fail differently, so they catch different holes.
| Persona | Stance — argues… | Model | Invocation |
|---|---|---|---|
| **Visionary** | the strongest case FOR — the 10x outcome if it works | `claude-opus-5` | `Task`, `model: opus` |
| **Skeptic** | the strongest case AGAINST — why it fails / who tried & died | `claude-sonnet-5` | `Task`, `model: sonnet` |
| **User-Advocate** | the user's honest reaction — would I pay / switch / care? AND, for any product that messages or collects data from end-recipients, the recipient's consent/opt-in friction (TCPA / opt-out / spam fatigue / who refuses) | `claude-haiku-4-5` | `Task`, `model: haiku` |
| **Pragmatist** | cost, time-to-ship, build-vs-buy, unit economics | Kimi K2 | `mcp__great_cto_llm_router__ask_kimi` |
### Round 1 — opening positions (blind, parallel)
Spawn the three `Task` personas **in one message** (parallel) + call the Kimi
router for the Pragmatist. Each gets the framed problem + the diverge options and
**only its own stance**. Prompt template:
> You are the **{persona}** on a product debate panel. Stance: **{stance}**.
> Problem: {framing}. Options on the table: {options}.
> Make the strongest possible {for/against} case. Be specific and concrete — name
> the mechanism, the comparable, the number. End with: verdict (BUILD / DON'T /
> PIVOT-to-which-option) + your single biggest worry.
### Round 2 — rebuttal (informed)
Feed each persona the **other three's Round-1 positions**. Ask:
> Here are the other panelists' positions: {r1_others}. Rebut the one you most
> disagree with. Then give your updated verdict and **the one condition that
> would change your mind.**
### Convergence guard
If all four agree in Round 1, the framing was too soft — re-run with a sharper,
explicitly contrarian Skeptic ("assume this is a bad idea; prove it"). Genuine
consensus only counts when the Skeptic was given every chance to kill it.
## 3. Converge — synthesize (the chair decides)
The product-owner (Opus) is the **chair**, not a vote-counter. Read all eight
statements and produce:
- **The decisive consideration** — the one argument that actually settles it
- **Strongest FOR** and **strongest AGAINST** (steelmanned, attributed)
- **The call** — BUILD / DON'T BUILD / PIVOT, with the reason in one sentence
- **What would flip it** — the kill-criteria / the condition to revisit
- **Dissent preserved** — if a persona held a strong minority view, record it;
don't launder it out. Tomorrow's "why didn't we think of X" lives here.
Feed this straight into the product brief's **Debate digest** section.
## Cost note
The panel is ~$0.30–0.60 per idea (one Opus + one Sonnet + one Haiku + one Kimi
call × 2 rounds). That is the cheapest insurance in the pipeline: it runs before
any engineering time is spent, at the stage where "no" is free and "yes" is
expensive.From avelikiy/great_cto, MIT.
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Signals
- Stars
- 105
- Forks
- 13
- Open issues
- 5
- Last commit (this folder)
- Sep 5, 2026 (1 month ago)
- Last release
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/avelikiy/great_cto
- Website
- greatcto.systems
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Data-model rules that make a schema importable from day one, so the migration-import-engineer is never blocked on missing columns.
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Cite this page
brainstorming skill. Agent Mart. https://agentmart.dev/skills/avelikiy-brainstorming (last updated 2026-10-24)