| Turn messy user research notes, interviews, support tickets, surveys, and product evidence ledger, theme map, confidence heatmap, opportunity matrix, decision memo, and experiment queue. Use when teams need to move from qualitative signals to product or design decisions without fabricating certainty.
npx skills add https://github.com/nexu-io/open-design --skill research-decision-room
Create a single-page HTML decision artifact that helps a product or design team
turn messy evidence into a clear next move. The output is not a decorative
research deck. It is a working room for debate: evidence, themes, confidence,
tradeoffs, and recommended experiments stay visible together.
research-decision-room/
├── SKILL.md
├── example.html
└── references/
├── checklist.md
└── evidence-model.md
Read references/evidence-model.md before synthesis and run
references/checklist.md before emitting the artifact.
Use this skill when the user has any mix of:
app-store reviews, NPS comments, survey open text, analytics snippets, or
product-decision context.
should we try?", "Why are users dropping off?", "What do customers actually
mean by slow?"
report.
Do not use it for pure visual inspiration, campaign ideation, or brand moodboards.
Identify the decision scope from the user's prompt. If the user did not give a
decision, derive one from the evidence and label it as inferred.
Write a short frame with:
If key context is missing and the task is not blocked, proceed with labelled
assumptions instead of asking a broad question.
Normalize every useful signal into ledger rows using the model in
references/evidence-model.md.
Each ledger row must include:
id: short stable id, such as I-03, T-14, M-02.source_type: interview, usability, support, survey, analytics, sales, fieldnote, or stakeholder.
segment: user type or "unknown".signal: one-sentence observation.quote_or_metric: direct quote, metric, or "not provided".strength: strong, medium, or weak.limitations: why this evidence may be biased or incomplete.Never invent quotes, participant counts, dates, revenue impact, or metrics. If
the user did not provide a number, use "not provided" and explain what evidence
would increase confidence.
Cluster evidence into 4 to 6 themes. For each theme:
Prefer verbs over nouns: "Teams abandon setup when the first blank state asks
for too much" is better than "Onboarding problem".
Create an opportunity matrix with 3 to 5 options. Score each option on a 1 to 5
scale:
Show the total score, but do not let the score replace judgment. Add one sentence
on why the top recommendation wins.
Write a decision memo with:
Keep the memo short enough to read in under one minute.
Produce a self-contained index.html. Use the active DESIGN.md for typography,
spacing, color roles, and component tone, but keep the information architecture
stable:
The artifact should be interactive but durable. Simple vanilla JavaScript is
allowed for filtering evidence, switching views, or highlighting related ids.
No framework dependency is required.
Run the checklist. Then emit one concise orientation sentence and one HTML
artifact:
<artifact identifier="research-decision-room" type="text/html" title="Research Decision Room">
<!doctype html>
<html>...</html>
</artifact>
Nothing after the closing </artifact>.
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.
Manage and trigger pre-built Zapier workflows and MCP tool orchestration. Use when user mentions workflows, Zaps, automations, daily digest, research, search, lead tracking, expenses, or asks to "run" any process. Also handles Perplexity-based research and Google Sheets data tracking.
Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and assigns skills (when available) or custom instructions. 9-step swarm with theater detection and reality validation. Receives plans from research-driven-planning, feeds to cicd-intelligent-recovery. Use for adaptive, theater-free implementation.
Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.
Take nexu-io/research-decision-room from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.