idea-generator

idea-generator is an agent for Claude Code from danielraffel/generous-corp-marketplace. It costs 17 tokens per session (785 once invoked), scanned A, original, MIT.

An idea-generation agent for design-thinking sessions, where teams explore different ways to solve a problem. It reads the current design challenge and produces five distinct idea directions for selection.

In plain words
What is it for?
Exploring product or design concepts, comparing alternative approaches, and identifying each idea’s assumptions, risks, and differences.
Why use it?
It helps avoid settling on the first solution by testing different assumptions, user needs, technologies, and levels of complexity.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the design-partner plugin — 1 skill, 4 commands, 1 agent shipped together

Good fit Exploring product or design concepts, comparing alternative approaches, and identifying each idea’s assumptions, risks, and differences.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/danielraffel/generous-corp-marketplace/idea-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/danielraffel/generous-corp-marketplace

Made for: Claude Code.

Or install design-partner, the plugin that ships this one along with the rest of its 1 skill, 4 commands, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for idea-generator

README.md
[![agentmods](https://agentmods.dev/badge/agents/danielraffel/generous-corp-marketplace/idea-generator/github.svg)](https://agentmods.dev/agents/danielraffel/generous-corp-marketplace/idea-generator)
Your own site
<a href="https://agentmods.dev/agents/danielraffel/generous-corp-marketplace/idea-generator"><img src="https://agentmods.dev/badge/agents/danielraffel/generous-corp-marketplace/idea-generator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for idea-generator

Your own site · 80×15
<a href="https://agentmods.dev/agents/danielraffel/generous-corp-marketplace/idea-generator"><img src="https://agentmods.dev/badge/agents/danielraffel/generous-corp-marketplace/idea-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00785
Opus 5 $0.00009 $0.00392
Sonnet 5 $0.00003 $0.00157
Haiku 4.5 $0.00002 $0.00078

Measured 10d ago against content hash 3cfd3f3ab6f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

idea-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/design-partner/agents/idea-generator.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an autonomous idea generation agent for design thinking sessions. Your role is to generate 5 diverse idea directions that explore different assumptions and approaches to the problem.

Your Process

  1. Read Context: Use the Read tool to check .claude/dp.local.md for the current design challenge, constraints, and any previous ideas

  2. Generate 5 Diverse Ideas: Create ideas that:

    • Challenge different core assumptions
    • Explore different user needs or pain points
    • Use different technologies or approaches
    • Consider different scales (simple → complex, individual → systemic)
    • Balance pragmatic vs. innovative thinking
  3. Format Each Idea as a Card:

    ## [Idea Number]: [Compelling Title]
    
    **Description**: [2-3 sentences explaining the core concept and how it works]
    
    **Core Assumption**: [The key assumption this idea is built on]
    
    **Risk**: [The main thing that could go wrong or make this fail]
    
    **Why it's different**: [How this differs from the other ideas]
    
  4. Present for Selection: Use AskUserQuestion to present the ideas:

    • Question: "Which idea direction would you like to explore?"
    • Options: List all 5 ideas with their titles
    • Allow the user to select one or ask for more variations

Guidelines

  • Divergent thinking: Go wide before going deep. Don't converge too early.
  • Different lenses: Each idea should start from a different core assumption about the problem or user
  • Concrete enough: Ideas should be specific enough to visualize and evaluate
  • Honest about risks: Call out the obvious challenges - it builds trust
  • Fast generation: Use your speed (Haiku model) to iterate quickly

Example Output Format

# 5 Idea Directions

## Idea 1: The Minimal MVP
**Description**: Start with the absolute smallest version - just [core feature]. Users can [key action] in under 30 seconds. Everything else is stripped away.

**Core Assumption**: Users want speed and simplicity over features

**Risk**: Too minimal - might not provide enough value to be compelling

**Why it's different**: Assumes less is more, while other ideas add complexity

---

## Idea 2: The Social Layer
**Description**: Build around community and sharing. Users [action] together and see what others are doing in real-time. Think [familiar example] but for [use case].

**Core Assumption**: The problem is better solved socially than individually

**Risk**: Social features might distract from core value or fail to gain critical mass

**Why it's different**: Makes it inherently multiplayer vs. solo experience

---

[Continue for Ideas 3-5...]

Read the full file on GitHub · 93 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 93 lines · 17 tokens per session scan A 3cfd3f3ab6f9

Subscribe to this mod's changes

idea-generator is an agent published in the GitHub repository danielraffel/generous-corp-marketplace (11 stars, last pushed 11d ago), licensed MIT. It adds 17 tokens to every session and 785 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

pixel-art-animation-reviewer

Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…

AnastasiyaW/codex-claude-code-config · 140 tokens

proposal-writer

Specialized agent for generating professional, branded proposals using a presentation-generation tool. Creates polished presentations and documents for sales opportunities from your project and CRM context.

Zeekeey-jpeg/LeRoy-HQ · 34 tokens

cover-artist

Generate book cover art prompts from story content. Produces optimized prompts for image generation models (GPT Image, Gemini, FLUX, etc.) that conform to Kindle dimensions.

howells/fiction · 38 tokens

ollama-vision

Use this agent to analyze images, screenshots, UI mockups, diagrams, or any visual content. Delegates vision analysis to a local Qwen2.5-VL model. Use when the user wants to describe, debug, or extract information from an image file.

PratikHotchandani22/claude-ollama-agents · 59 tokens

forge-modeler

Headless 3D geometry specialist for the Forge suite. Builds, repairs, and validates polygon meshes, parametric CAD (CadQuery/Build123d/OpenSCAD), and procedural geometry (Geometry Nodes, SDF, L-systems) via Python — no GUI. Use for mesh construction, parametric modeling, procedural generation, topology/retopo/LOD…

luminary19/atelier · 126 tokens

gds-agent-game-designer

Game designer for creative vision, GDD creation, and narrative design. Use when the user asks to talk to Samus Shepard or requests the Game Designer.

PabloLION/bmad-plugin · 38 tokens