Install
$ agentstack add skill-gregthegreek-claude-obsidian-clean-interviews ✓ 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 Used
- ✓ 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
Clean Interviews
Processes user interviews in ~/obsidian/Research/User interviews/, standardizes their format, adds tags, and aggregates insights into the research dashboard.
When to Use
- After conducting user interviews
- When interview files need standardization
- To aggregate interview insights across projects
- When preparing interview data for analysis
Workflow
1. Scan Interview Files
Find all interview files:
find ~/obsidian/Research/User\ interviews -name "*.md" -type f
Note the directory structure - interviews are organized by project (e.g., Project-A/, Project-B/).
2. Read Current Dashboard
cat ~/obsidian/research-dashboard.md
Check if "User Interview Insights" section exists.
3. Process Each Interview File
For each interview file:
a) Read the file to understand current content b) Add YAML frontmatter if missing:
---
tags:
- interview
- [project-name]
interviewee: Name
date: YYYY-MM-DD
project: Project Name
signal: strong | moderate | weak
action-items:
- "Intro to [Contact] at [Company]"
- "Follow up on [specific topic]"
---
Note: action-items is optional - only include if there are genuinely important actions from this interview. See "Action Item Criteria" section below.
c) Restructure content into standard sections:
## Summary
One-paragraph synthesis of the interview
## Key Insights
- Bullet points of main takeaways
## Pain Points
- Problems the interviewee faces
## Quotes
> Direct quotes worth preserving
## Follow-ups
- Action items or questions for next time
d) Preserve original content - reorganize, don't delete
4. Determine Signal Strength
Apply these criteria:
Strong Signal:
- Explicit willingness/commitment ("I would definitely use this")
- Quantified usage metrics specific to their domain
- Current paid solution they would switch from
- Specific problems that match our solution
Moderate Signal:
- Interest expressed but conditional
- Some relevant problems, some not
- Unclear on willingness to pay or switch
- General positive sentiment without commitment
Weak Signal:
- Polite interest but no clear need
- Problems do not align with our solution
- Low usage/engagement in relevant areas
- Blockers (jurisdiction, technical, organizational)
5. Archive Dashboard (if updating)
If dashboard will be updated, run archive first:
bash ~/.claude/scripts/archive-dashboard.sh
6. Aggregate Interview Insights
Count interviews by:
- Project (directory name)
- Signal strength
Summarize key takeaways per project.
7. Update Research Dashboard
Add or update "User Interview Insights" section after "Latest Research Documents":
## User Interview Insights
**Total Interviews:** X | **Strong:** Y | **Moderate:** Z | **Weak:** W
### By Project
- **Project-A:** X interviews - [key aggregated takeaway]
- **Project-B:** X interviews - [key aggregated takeaway]
### Recent Interviews
- [[Research/User interviews/Project-A/Jane Doe|Jane Doe]] - Strong, target user interested in product
8. Verify
- All interview files have YAML frontmatter
- All files have standard sections
- Dashboard has interview insights section
- Tags work in Obsidian (#interview)
Interview Template
When processing interviews, structure them as:
---
tags:
- interview
- project-a
interviewee: Jane Doe
date: 2026-01-15
project: Project-A
signal: strong
---
## Summary
One-paragraph synthesis capturing who they are, what they need, and key signals.
## Key Insights
- Insight 1
- Insight 2
## Pain Points
- Pain point 1
- Pain point 2
## Quotes
> "Direct quote that captures something important"
## Follow-ups
- Action item or question
Action Item Criteria
Action items in frontmatter are for genuinely important tasks that should surface on the daily dashboard. Most interviews won't have any.
Include (Important - Surface to Dashboard)
- Introductions: "Can intro to [Person] at [Company]" - warm intros are high-value
- Follow-up calls/meetings: Scheduled or promised follow-ups with the interviewee
- Partner/vendor investigation: Specific companies or tools mentioned worth investigating
- Critical product decisions: Feature requests that came with strong signal and affect architecture
- Urgent blockers: Regulatory, legal, or technical issues that need immediate attention
Exclude (Keep in Follow-ups Section Only)
- General "look into X" observations
- Minor UX suggestions
- Feature ideas without strong signal
- Vague "might be interesting" items
- Things already on the roadmap
- Research that's nice-to-have, not blocking
Examples
Include:
action-items:
- "Intro to [Partner] (via [Contact]) - partner opportunity"
- "Investigate [Vendor] integration for risk management"
- "Follow-up call with [Contact] re: [Feature] threshold feature"
Don't Include:
- "Think about rewards structure" (too vague)
- "Consider better FX handling" (product backlog, not action item)
- "Research stETH safety" (general research, not urgent)
Rule of Thumb
Ask: "Would I forget this and regret it?" If yes, it's an action item. If it's just useful context, leave it in the Follow-ups section only.
Signal Tagging Guidelines
Strong
- Explicit "I would use this" or "I would pay for this"
- Currently using competitors and unhappy
- Quantified spending patterns (monthly card spend, holdings)
- Clear problem-solution fit
Moderate
- "This sounds interesting" without commitment
- Some problems align, others don't
- Unclear on pricing sensitivity
- Would need to see it working first
Weak
- Polite but non-committal
- Problems don't match solution
- Jurisdiction/regulatory blockers
- Low target market fit (small spender, no crypto holdings)
Important Notes
- Preserve original content - restructure, don't delete information
- Be conservative with signal strength - default to moderate if unclear
- Use project directory name as the project tag (lowercase)
- Date format: YYYY-MM-DD (ISO 8601)
- Link format: Obsidian wikilinks with display text
Paths Reference
- Interview root:
~/obsidian/Research/User interviews/ - Dashboard:
~/obsidian/research-dashboard.md - Archive script:
~/.claude/scripts/archive-dashboard.sh
Note: Paths can be customized in ~/.claude/config/paths.env
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: GregTheGreek
- Source: GregTheGreek/claude-obsidian
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.