| name | interview-debrief |
| description | This skill should be used when the user says "I just interviewed", "debrief", "thank-you email", "how did my interview go", or "post-interview". Analyzes interview performance, reads signals, extracts lessons, and drafts a personalized thank-you — all in one flow. Supercharged with ~~transcription and ~~email.
|
| argument-hint | <company name; or just describe what happened> |
| user-invocable | true |
/interview-debrief
If you see unfamiliar ~~ placeholders, see CONNECTORS.md.
Usage
/interview-debrief <company name>
/interview-debrief I just finished my Google PM interview
One skill for everything after a formal interview: analyze performance,
extract lessons, and draft the thank-you.
Inputs
Auto-detect from ~~transcription (if available)
Before asking the user anything, check if ~~transcription is connected.
If yes: query recent meetings for interviews at the target company.
If a transcript exists, pull it — this replaces most of the questions below.
Tell the user: "I found your interview transcript. Let me analyze it."
Ask the user (if no transcript found)
Ask these one at a time. Wait for each answer before asking the next.
After gathering context, briefly confirm what you heard before analyzing.
- "Which company and role was this for?"
- "What round? (phone screen, technical, HM, final)"
- "Who did you interview with? (name and role if known)"
- "What went well? What moment felt strongest?"
- "What stumbled? Any question that caught you off guard?"
- "Did they mention next steps or timeline?"
Also load
- output/[company]/interview-prep.md — what was prepared
- knowledge/stories/ — check if prepared stories were used effectively
- knowledge/frameworks/writing-framework.md — for thank-you tone
Produce
1. Performance Analysis
- Strong moments: what worked and why
- Weak moments: what didn't land and why
- Missed opportunities: stories or points you should have made
2. Signal Reading
- What their questions reveal about their concerns
- What their reactions suggest about your fit
- Likelihood of advancing (be honest)
3. Gap Analysis
- Questions you weren't prepared for → note for future prep
- Stories that didn't land → refine or replace
- Topics they probed deeply → they care about this
4. Next Round Prep
- What to expect in the next stage
- What to emphasize based on what resonated
- What to address based on concerns
5. Thank-You Email
- Subject line: specific, not generic
- Concise (~100-150 words)
- Reference one specific moment from the conversation
- Reinforce the strongest point from the interview
- If something went poorly: address briefly with additional context
- Close with enthusiasm for next steps
Two versions:
- Email (slightly more formal)
- LinkedIn message (shorter, if you connected)
Output Format
## Interview Debrief: [Company] — [Round]
### Performance
**Strong:** [what worked]
**Weak:** [what didn't land]
**Missed:** [stories you should have used]
### Signal Reading
**Their concerns:** [what their questions revealed]
**Your fit:** [honest assessment]
**Likelihood of advancing:** [High/Medium/Low — with reasoning]
### For Next Round
- Emphasize: [what resonated]
- Address: [concerns to get ahead of]
---
## Thank-You Email
**Subject:** [specific subject line]
[Full email text — ready to send]
---
**LinkedIn version:**
[Shorter message text]
If Connectors Available
If ~~transcription is connected:
- Auto-pull transcript for moment-by-moment analysis
- Reference specific things discussed in the thank-you
If ~~email is connected:
- Create email draft (don't send — user reviews first)
- Tell user: "Draft created — review and send when ready."
If Something Goes Wrong
- User can't remember details: Work with what they have. Note: "Your debrief will be more useful with specifics — jot notes right after interviews."
- Interview clearly went badly: Be honest but constructive. Focus on what's actionable for next time.
- No interview-prep.md exists: Analyze without comparing to prepared material.
After Output
- "Track this interview?
/pipeline-status update [company] [round]"
- "Have another interviewer to thank? Tell me their name"
- "Expecting another round?
/interview-prep to prep for it"
Rules
- Be honest, not reassuring — if it went badly, say so
- Focus on actionable improvements, not dwelling on mistakes
- Thank-you must feel personal, not templated
- Never sycophantic — confident gratitude, not gushing
- Reference specific conversation moments, not generic pleasantries
