Career Gap Map
Personal companion to arbitrage-audit — same framework applied to a single person's week instead of a business. Outputs an exposure score and a migration plan.
Trigger
Use when the user says "am I exposed to AI", "career gap map", "exposure score", "what should I learn next", "audit my job", "what parts of my week can AI do", or asks for a personal version of the arbitrage audit.
Phase 1: Task Inventory
Collect one week of the user's actual task allocation. Accept any of:
- A pasted list of weekly tasks with rough hour estimates
- A calendar export (
.ics or text dump) — parse event titles
- A Notion / Linear / Obsidian task list
- Free-form description of "what I did this week"
If none available, walk the user through a 10-line inventory: "list the ten things that took the most time this week, with hours each." Do not proceed without numeric hours — the exposure score depends on them.
Phase 2: Per-Task Classification
For each task, classify on two axes:
Compression tier:
- NEAR-ZERO — current frontier models already do this in minutes (drafting, formatting, summarizing, lookup, first-pass code, first-pass research)
- ASSIST — AI meaningfully speeds this up but human judgment is still load-bearing (review, refactor, debugging with context, stakeholder-specific writing)
- UPSTREAM — AI is not a substitute; the task requires judgment, taste, relationships, or system design (architecture decisions, negotiation, hiring, picking what to build)
Source of difficulty:
- INFORMATIONAL — the hard part is knowing or generating the answer
- STRUCTURAL — the hard part is trust, access, regulation, or physical constraints
Phase 3: Exposure Score
Compute:
exposure_score = (hours on NEAR-ZERO + 0.3 × hours on ASSIST) / total_hours
Report as a percentage with the three-tier breakdown (NEAR-ZERO hours, ASSIST hours, UPSTREAM hours). Flag anything above 50% as high exposure and anything below 20% as low exposure.
Phase 4: Migration Plan
Produce a personalized migration plan with four sections:
- Stop doing — tasks to hand off to AI this quarter. Name the tool/workflow that would absorb each one.
- Redesign — tasks that should be restructured so the human holds judgment and the AI holds execution.
- Learn — 2-3 upstream skills the user should invest in, picked from: system design, taste/curation, negotiation, domain strategy, sensing (what to build next), or relationship capital.
- Sense — one recurring input (newsletter, benchmark tracker, release watcher) the user should wire into their week so they know when the next compression wave hits.
Phase 5: Output Format
# Career Gap Map — {user name or "you"}
## Exposure Score
{percentage}% — {tier: LOW / MEDIUM / HIGH}
Breakdown: NEAR-ZERO {X}h, ASSIST {Y}h, UPSTREAM {Z}h, total {T}h
## Task Table
| Task | Hours | Tier | Structural? | Notes |
|------|-------|------|-------------|-------|
## Migration Plan
### Stop doing
### Redesign
### Learn
### Sense
## Recheck trigger
{condition that should prompt re-running this skill — e.g., "after the next frontier model release" or "end of Q3"}
Quarterly Recheck
If the user has run this skill before, locate the previous output (ask if path unclear). On re-run:
- Diff the task inventory and exposure score against the previous report
- Highlight any tasks that migrated tiers (NEAR-ZERO → not present, ASSIST → UPSTREAM, etc.)
- Flag drift away from upstream skills as a warning
Verification
Source
Derived from Nate's Newsletter 2026-04-07, "You're charging 2023 rates for work AI does in 40 minutes + 2 prompts to see your real exposure." Nate ships this as the second of two diagnostic prompts; this skill operationalizes it with explicit scoring, task tiering, and a quarterly recheck loop.
1---2name: career-gap-map3description: Calculate an individual's AI exposure score (percent of weekly tasks AI can already compress to near-zero) and produce a migration plan toward upstream skills like judgment, taste, and system design. Use when the user wants to audit their own job, plan a career pivot, evaluate how exposed their role is to the next model release, or build a quarterly review checkpoint.4---56# Career Gap Map78Personal companion to `arbitrage-audit` — same framework applied to a single person's week instead of a business. Outputs an exposure score and a migration plan.910## Trigger1112Use when the user says "am I exposed to AI", "career gap map", "exposure score", "what should I learn next", "audit my job", "what parts of my week can AI do", or asks for a personal version of the arbitrage audit.1314## Phase 1: Task Inventory1516Collect one week of the user's actual task allocation. Accept any of:17181. A pasted list of weekly tasks with rough hour estimates192. A calendar export (`.ics` or text dump) — parse event titles203. A Notion / Linear / Obsidian task list214. Free-form description of "what I did this week"2223If none available, walk the user through a 10-line inventory: "list the ten things that took the most time this week, with hours each." Do not proceed without numeric hours — the exposure score depends on them.2425## Phase 2: Per-Task Classification2627For each task, classify on two axes:2829**Compression tier:**30- **NEAR-ZERO** — current frontier models already do this in minutes (drafting, formatting, summarizing, lookup, first-pass code, first-pass research)31- **ASSIST** — AI meaningfully speeds this up but human judgment is still load-bearing (review, refactor, debugging with context, stakeholder-specific writing)32- **UPSTREAM** — AI is not a substitute; the task requires judgment, taste, relationships, or system design (architecture decisions, negotiation, hiring, picking what to build)3334**Source of difficulty:**35- **INFORMATIONAL** — the hard part is knowing or generating the answer36- **STRUCTURAL** — the hard part is trust, access, regulation, or physical constraints3738## Phase 3: Exposure Score3940Compute:4142```43exposure_score = (hours on NEAR-ZERO + 0.3 × hours on ASSIST) / total_hours44```4546Report as a percentage with the three-tier breakdown (NEAR-ZERO hours, ASSIST hours, UPSTREAM hours). Flag anything above 50% as high exposure and anything below 20% as low exposure.4748## Phase 4: Migration Plan4950Produce a personalized migration plan with four sections:51521. **Stop doing** — tasks to hand off to AI this quarter. Name the tool/workflow that would absorb each one.532. **Redesign** — tasks that should be restructured so the human holds judgment and the AI holds execution.543. **Learn** — 2-3 upstream skills the user should invest in, picked from: system design, taste/curation, negotiation, domain strategy, sensing (what to build next), or relationship capital.554. **Sense** — one recurring input (newsletter, benchmark tracker, release watcher) the user should wire into their week so they know when the next compression wave hits.5657## Phase 5: Output Format5859```60# Career Gap Map — {user name or "you"}6162## Exposure Score63{percentage}% — {tier: LOW / MEDIUM / HIGH}64Breakdown: NEAR-ZERO {X}h, ASSIST {Y}h, UPSTREAM {Z}h, total {T}h6566## Task Table67| Task | Hours | Tier | Structural? | Notes |68|------|-------|------|-------------|-------|6970## Migration Plan71### Stop doing72### Redesign73### Learn74### Sense7576## Recheck trigger77{condition that should prompt re-running this skill — e.g., "after the next frontier model release" or "end of Q3"}78```7980## Quarterly Recheck8182If the user has run this skill before, locate the previous output (ask if path unclear). On re-run:8384- Diff the task inventory and exposure score against the previous report85- Highlight any tasks that migrated tiers (NEAR-ZERO → not present, ASSIST → UPSTREAM, etc.)86- Flag drift away from upstream skills as a warning8788## Verification8990- [ ] Every task in the inventory has a numeric hour value91- [ ] Every task has both a compression tier and a structural/informational tag92- [ ] The exposure score math is shown, not just the final number93- [ ] The "Learn" section names specific skills, not "improve judgment"94- [ ] The "Sense" section specifies an actual source the user can subscribe to today9596## Source9798Derived from Nate's Newsletter 2026-04-07, "You're charging 2023 rates for work AI does in 40 minutes + 2 prompts to see your real exposure." Nate ships this as the second of two diagnostic prompts; this skill operationalizes it with explicit scoring, task tiering, and a quarterly recheck loop.