ideation

ideation is a skill for Claude Code from QinghongLin/data2story-skill. It costs 107 tokens per session (1,901 once invoked), scanned A, original, MIT.

A conversation-led starting point for data2story-pro, a workflow that turns real datasets into data stories. It develops a vague idea into a specific topic and obtains a real dataset before the normal pipeline begins.

In plain words
What is it for?
Use it to discuss and narrow an idea, create a concrete story brief, find and validate data, and pass the dataset into the data-story workflow.
Why use it?
It helps when someone has a question or hunch but no dataset, while testing whether the idea can be supported by available data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; positional $N argument.

Part of the data2story-pro plugin — 25 skills shipped together

Good fit Use it to discuss and narrow an idea, create a concrete story brief, find and validate data, and pass the dataset into the data-story workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qinghonglin/data2story-skill/ideation
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 QinghongLin/data2story-skill --skill ideation
Clone the repo
git clone --depth 1 https://github.com/QinghongLin/data2story-skill

Made for: Claude Code.

Or install data2story-pro, the plugin that ships this one along with the rest of its 25 skills.

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 ideation

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/ideation/github.svg)](https://agentmods.dev/skills/qinghonglin/data2story-skill/ideation)
Your own site
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/ideation"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/ideation/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 ideation

Your own site · 80×15
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/ideation"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/ideation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,901 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00107 $0.01901
Opus 5.5 $0.00043 $0.00760
Sonnet 5.5 $0.00021 $0.00380
Haiku 4.5 $0.00011 $0.00190

Measured 2mo ago against content hash e9458dce5679, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ideation 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 2mo 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.

skills/data2story-pro/ideation/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ideation — from a vague idea to a data-backed topic + a real dataset

The /data2story-pro orchestrator routes here in IDEA MODE: the reader handed over a hunch, a question, or a half-formed angle instead of a dataset. Your job is to turn that into a concrete topic that real, findable data can support, fetch that data, and hand a validated folder back to the pipeline. You do this WITH the reader, not for them — two real checkpoints, no railroading.

You are not a pipeline role (no *_NN provenance prefix, no place in the 7 teams). You run once, before Detective, and produce nothing that reaches the HTML except the dataset + a story_brief.

Inputs

  • $1 = the reader's raw idea text (may be empty → open by inviting it).
  • $2 = DATA2STORY_ROOT (resolved by the orchestrator; where data/<slug>/ will live).

Return contract (how the orchestrator continues)

  • Success: emit a final line DATA_DIR=<absolute path to the validated dataset folder>. The story_brief.json sits at <DATA_DIR>/meta/story_brief.json. The orchestrator sets DATA_DIR/DATA_NAME from this and enters the normal pipeline (Detective → … → Inspector).
  • Abort: emit IDEATION_ABORTED: <one-line reason> (reader stopped, or no real dataset supports the idea after the bounded loop). The orchestrator halts honestly and runs NO pipeline. Never fabricate data to manufacture a success.

The flow — 3 steps, 2 checkpoints

Interaction style — let the reader CHOOSE, don't make them compose. Drive the convergence and BOTH checkpoints with AskUserQuestion: frame the angles / scope / data-forks as options the reader clicks, not paragraphs they must write — picking is far lower-friction and each question doubles as a micro-checkpoint. ALWAYS keep the Other / free-text escape open: the menu is your framing, and the reader's own off-menu angle is often the best one, so never let it cage the brainstorm. (This is NOT the cold opening questionnaire sparring-partner warns against — it is choice-driven convergence after you have framed the space: lead the very first turn with substance + an open invite, then switch to options.)

Read the full file on GitHub · 121 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 121 lines · 107 tokens per session scan A e9458dce5679

Subscribe to this mod's changes

ideation is a skill published in the GitHub repository QinghongLin/data2story-skill (161 stars, last pushed 4mo ago), licensed MIT. It adds 107 tokens to every session and 1,901 once invoked, about $0.0004 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 2026-08-30.

Related

ideation compared with skills from other repositories

ideation next to 6 skills from other repositories
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ideationQinghongLin/data2story-skillSkill1614mo agoMITA107Claude Code
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