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-ideateInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| workflows:ideate (this skill)by brycewang-stanford | 83 | 4.4k | 3d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 83.9k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.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.
Skill content
View source on GitHubname: 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:
- Identification weakness — What existing results have weak identification? What new variation could fix it?
- Computational bottleneck — What problems are infeasible with current methods but tractable with new estimators or hardware?
- Data limitation workaround — What would become possible with data that is now available but underexploited?
- Alternative estimator class — What if the standard approach (e.g., linear IV) were replaced with a different class (e.g., ML, structural, Bayesian)?
- Relaxed assumption — What results depend on assumptions that could be relaxed? What happens when you relax them?
- 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:brainstormon the top 1-2 candidates
Handoff
End with: "Ideation complete. Run /workflows:brainstorm [top candidate] to develop requirements for the strongest direction."
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
