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workflows:ideate

Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest

Install / Use

npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill workflows-ideate

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Automation

Supported Platforms

Universal

Tags

Our assessment of workflows:ideate

workflows:ideate scores 83/100 on our quality scale, 1153rd of 1,657 Automation skills we index.

Its SKILL.md is 3.0 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.

With 4,360 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so workflows:ideate is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

workflows:ideate compared with similar skills

All 4 of these similar skills score higher than workflows:ideate; compare them before choosing.

SkillScoreStarsUpdatedFormat
workflows:ideate (this skill)by brycewang-stanford834.4k3d agoSKILL.md
Agent-Reachby Panniantong10085.6k11d agoCLAUDE.md
rufloby ruvnet10073.3ktodayCLAUDE.md
Scraplingby D4Vinci10083.9ktodayMCP Server
algorithmic-artby anthropics100177.9k4d agoSKILL.md

Frequently asked questions

How do I install workflows:ideate?
Run npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill "workflows:ideate". The install tabs above show the steps for each supported agent.
Which AI agents does workflows:ideate work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is workflows:ideate safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is workflows:ideate still maintained?
The repository was last updated 3 days ago, so workflows:ideate is actively maintained.

name: workflows:ideate description: "Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest" argument-hint: "<research question, puzzle, or data opportunity>" allowed-tools: Read, Glob, Bash

Research Ideation

Divergent exploration before convergent brainstorming. Generate many candidates, then filter ruthlessly.

Phase 0: Scope the Ideation

Read $ARGUMENTS. If the user provides a specific research question, ideate around it. If they provide a broad topic, explore broadly.

Phase 1: Generate Candidates (Divergent)

Generate 15-20 candidate research directions. Use these research-adapted ideation frames:

  1. Identification weakness — What existing results have weak identification? What new variation could fix it?
  2. Computational bottleneck — What problems are infeasible with current methods but tractable with new estimators or hardware?
  3. Data limitation workaround — What would become possible with data that is now available but underexploited?
  4. Alternative estimator class — What if the standard approach (e.g., linear IV) were replaced with a different class (e.g., ML, structural, Bayesian)?
  5. Relaxed assumption — What results depend on assumptions that could be relaxed? What happens when you relax them?
  6. Literature gap — What do practitioners need that academics haven't provided? What do adjacent fields know that this field doesn't?

Dispatch methods-explorer and literature-scout agents in parallel to ground the ideation in real methods and recent papers.

Iron rule: Generate the full candidate list before critiquing any idea. Push past the first few obvious directions.

Phase 2: Adversarial Filter (Convergent)

Entry condition: Phase 1 produced at least 15 candidate directions (the iron rule). Exit condition: 5-7 survivors identified, all rejected candidates have one-line rejection reasons.

For each candidate, evaluate:

  • Feasibility (0-100): Can this be done with available data, methods, and time?
  • Contribution (0-100): Would a top journal care about this result?
  • Identification (0-100): Is there a credible identification strategy?

Dispatch identification-critic to attack the top 10 candidates. Only candidates surviving adversarial scrutiny advance.

Target: 5-7 survivors with explicit rejection reasons for all others.

Phase 3: Output

Write the ideation document to docs/ideation/ with YAML frontmatter:

---
status: complete
date: YYYY-MM-DD
topic: <descriptive topic>
candidates_generated: <N>
survivors: <N>
---

Content:

  • Surviving candidates ranked by (Contribution x Identification x Feasibility)
  • For each survivor: 2-3 sentence description, confidence score, key risk
  • Rejected candidates with one-line rejection reason
  • Recommended next step: /workflows:brainstorm on the top 1-2 candidates

Handoff

End with: "Ideation complete. Run /workflows:brainstorm [top candidate] to develop requirements for the strongest direction."

Related Skills

View on GitHub
GitHub Stars4.4k
CategoryAutomation
Updated3d ago
Forks527

Languages

Stata

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium