choose-the-next-idea

choose-the-next-idea is a skill for Claude Code from Exponentially-Platform/Rapidly-MCP. It costs 81 tokens per session (274 once invoked), scanned A, original, MIT.

An idea-selection tool for teams that have several product or business ideas saved in Rapidly. It compares their evidence, unanswered questions, uncertainty, and progress to recommend which idea to test next.

In plain words
What is it for?
Use it to rank saved ideas, understand the evidence gap behind each ranking, and identify the next experiment to run.
Why use it?
It helps a team choose where to spend limited testing time instead of relying only on intuition. The recommendation does not fund, change, or launch an idea.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rapidly plugin — 4 skills, 1 MCP server shipped together

Good fit Use it to rank saved ideas, understand the evidence gap behind each ranking, and identify the next experiment to run.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/exponentially-platform/rapidly-mcp/choose-the-next-idea
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.

Any agent
npx skills add Exponentially-Platform/Rapidly-MCP --skill choose-the-next-idea
Clone the repo
git clone --depth 1 https://github.com/Exponentially-Platform/Rapidly-MCP

Made for: Claude Code.

Or install rapidly, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server.

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 choose-the-next-idea

README.md
[![agentmods](https://agentmods.dev/badge/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea/github.svg)](https://agentmods.dev/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea)
Your own site
<a href="https://agentmods.dev/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea"><img src="https://agentmods.dev/badge/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea/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 choose-the-next-idea

Your own site · 80×15
<a href="https://agentmods.dev/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea"><img src="https://agentmods.dev/badge/skills/exponentially-platform/rapidly-mcp/choose-the-next-idea.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 274 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 $0.00081 $0.00274
Opus 5.5 $0.00032 $0.00110
Sonnet 5.5 $0.00016 $0.00055
Haiku 4.5 $0.00008 $0.00027

Measured 13d ago against content hash fca611a45896, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

choose-the-next-idea 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 13d 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/rapidly/skills/choose-the-next-idea/SKILL.md · 21 lines

What it actually says

Choose the next idea to test

Most teams have more ideas than time to test them. Rapidly compares the ideas the team has already saved and recommends where the next experiment will teach the most.

Run it

  1. Call list_ideas to see the team's saved ideas and their stages.
  2. Call choose_next_idea. It reads the saved ideas without changing them.
  3. Show the user the recommended idea, the evidence gap it closes and why it beat the others. Include the runner-up and what would change the order.
  4. If the user agrees, offer to continue with the test-an-idea skill for that idea, using its project_id.

What to tell the user

  • The ranking is based on what's saved in Rapidly. Ideas with no hypothesis or experiment yet will show bigger gaps.
  • Picking an idea doesn't fund it. It decides what to test next.
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. 13d ago First seen · 21 lines · 81 tokens per session scan A fca611a45896

Subscribe to this mod's changes

choose-the-next-idea is a skill published in the GitHub repository Exponentially-Platform/Rapidly-MCP (2 stars, last pushed 6d ago), licensed MIT. It adds 81 tokens to every session and 274 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-10.

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