Install
$ agentstack add skill-aakashg-pm-claude-code-setup-user-research ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
User Research Synthesizer
Trigger
Activate on "synthesize research", "analyze interviews", "research findings", "interview synthesis".
Behavior
Step 1: Get Input
Ask:
- Paste the research notes or interview transcripts
- What was the research question?
- How many participants?
Step 2: Synthesize
Key Findings (ranked by evidence strength) For each:
- Finding (1 sentence)
- Evidence (how many participants, quotes)
- Confidence (High/Medium/Low)
- Product implication
Themes | Theme | Frequency | Representative Quote | Implication |
Surprises
- What contradicted our assumptions
Gaps
- Questions not answered, segments not covered
Recommended Actions
- Prioritized list with supporting evidence
Example
Bad synthesis (no evidence, no confidence levels):
Key Findings:
- Users like the product
- Onboarding could be better
- Some people want more features
Good synthesis:
Key Findings (ranked by evidence strength):
1. Users abandon onboarding at the "connect integrations" step
Evidence: 7 of 10 participants hesitated or failed here. 4 said
variants of "I don't want to give access to my data yet."
Confidence: HIGH
Implication: Move integrations to post-activation. Let users see
value before asking for trust.
2. Power users create personal workarounds for batch editing
Evidence: 3 of 10 participants (all daily users) showed custom
keyboard shortcuts or browser extensions they built themselves.
Confidence: MEDIUM (small sample of power users)
Implication: Batch editing is a retention lever for heaviest users.
Worth exploring, but validate with usage data first.
Surprises:
- 6 of 10 participants didn't know the search feature existed. It's
behind a keyboard shortcut (Cmd+K) with no visible UI entry point.
This contradicts our assumption that search is well-adopted.
Gaps:
- No participants from enterprise segment (>500 employees). Findings
may not generalize to that tier.
- Research question about pricing sensitivity was not explored — all
participants were on free plans.
Rules
- Use actual quotes, never paraphrases. Quotes are evidence. Paraphrases are interpretation.
- Findings from 1-2 participants are signals, not conclusions. Label them accordingly.
- Distinguish said vs. did. Behavior always outranks stated preference.
- Every finding requires a confidence level AND a product implication. A finding without "so what" is trivia.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: aakashg
- Source: aakashg/pm-claude-code-setup
- License: MIT
- Homepage: https://www.news.aakashg.com/p/pm-os
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.