/report-template

Report Template

Generate the report following this exact structure. All sections are mandatory unless marked (conditional). Display the report in the terminal, then save it to the user-chosen directory (see SKILL.md Step 10 for details).

Structure

# Career Direction Report

Generated: {date} | Sources: {N}/9 used

---

## Your Profile

**Role:** {title} | **Industry:** {industry} | **Experience:** {years}
**Location:** {from Q18} | **Languages:** {from Q17}
**AI Adoption at org:** {level} | **AI (work):** {Q5a} | **AI (personal):** {Q5b}
**Current compensation:** {from Q16}
**Work summary:** {from Q2b — what problems they solve, what they produce}
**Energized by:** {from Q1c — may include non-work activities like pet projects, hobbies, volunteering}
**Satisfaction Alignment: {X}/5** — {label: Misaligned / Mostly outside / Split / Mostly work / Fully aligned}
**Career stage:** {early/mid/senior/executive — from resume} (conditional: only when resume provided)
**Education:** {degree, institution — from resume} (conditional: only when resume provided)
**Career span:** {N years, M companies — from resume} (conditional: only when resume provided)

**Technology Proficiency Map** (from technology-explainer):
- Expert: {list}
- Intermediate: {list}
- Learning: {list}

**Key strengths from data:**
- {data-derived strength 1}
- {data-derived strength 2}
- {interview-derived strength 3}

---

## Career Trajectory Analysis
(conditional: only when PDF resume provided)

**Career span:** {N} years across {M} companies

**Career timeline:**
| Period | Company | Title | Duration | Industry |
|--------|---------|-------|----------|----------|
| {dates} | {company} | {title} | {duration} | {industry} |

**Career velocity:** {classification} — {evidence}
**Average tenure:** {N} yrs/role | **Longest:** {company, N yrs} | **Shortest:** {company, N months}
**Domain switches:** {N} across {M} industries
**Company pattern:** {trajectory, e.g., "startup → enterprise" or "consistently mid-size"}
**Career trajectory:** {direction, e.g., "IC deepening" or "Management track"}

**Key career patterns:**
- {observation 1 — e.g., "Progressive seniority with 3-year cycles"}
- {observation 2 — e.g., "Consistent fintech domain with one lateral into healthtech"}
- {observation 3 — e.g., "Recent shift from hands-on coding to architecture roles"}

**Skill currency:**
- **Current** (used in last 2 years): {list}
- **Dormant** (listed but not recent): {list}
- **Emerging** (recent only): {list}

**Resume vs Reality:** (conditional: only when Q3b answered)
{User's honest assessment of discrepancies between resume and reality.
Frame constructively: "Your resume positions you as X, but you note that Y —
this gap creates both risk (market mismatch) and opportunity (hidden strengths)."}

---

## AI Leverage Profile

**AI Leverage Score: {X}/10** — {interpretation}
**Delegation Maturity: Level {N} — {name}** — {evidence}

**Your AI work style:** {narrative from insights — e.g., "plan-driven power user,
aggressive interruptor, meta-learning feedback loop builder"}

**What you delegate to AI best:**
- {top delegated task patterns from session data}

**Where AI gets in your way:**
- {friction patterns from insights}

---

## Risk Assessment: Your Current Path

**Overall AI displacement risk: {LOW / MODERATE / HIGH / CRITICAL}**

| Dimension | Score (1-5) | Evidence |
|-----------|-------------|----------|
| Task Repeatability | {stars} | {evidence from data + interview} |
| Human Judgment | {stars} | {evidence} |
| Physical Presence | {stars} | {evidence} |
| Regulatory/Trust | {stars} | {evidence} |
| Creative Synthesis | {stars} | {evidence} |

**Career Stability Score: {1-5}** — {evidence} (conditional: resume-enhanced)
**Adaptability Evidence: {1-5}** — {evidence} (conditional: resume-enhanced)

**Timeline:** {when AI can handle core functions of this role}

**What AI WILL handle in your role within 2 years:**
- {task 1} — {why, with evidence}

**What AI will NOT handle:**
- {task 1} — {why, linked to AI-resistant properties}

---

## Industry AI Landscape (web research)

{Current state of AI in user's specific industry from WebSearch —
concrete products, startups, trends 2025-2026.
Cite specific companies and tools, not vague generalities.}

---

## Recommended Directions (5-Level Amplitude Spectrum)

### L1 — Optimize Current: {Title}

**One-liner:** {value proposition}

**What to do:**
- {concrete action 1}
- {concrete action 2}
- {concrete action 3}

**Target business types:**
- {company name} ({AI-native/AI-adopting/AI-consulting/Non-AI}, {size}) — {why it fits}
- {company name} ({type}, {size}) — {why it fits}
- *{Q18 city}-specific:* {local company} ({type}, {size})

**Why AI won't replace this:**
{2-3 sentences referencing specific AI-resistant properties from the framework.}

**Salary range:** {range from web search} | **vs current:** {delta: +X%, same, -X%} | **Minimum viable?** {yes/no}
**Timeline:** {realistic estimate}

---

### L2 — Lateral Move: {Title}

**One-liner:** {value proposition}

**What to do:**
- {concrete action 1}
- {concrete action 2}

**Target business types:**
- {company name} ({type}, {size}) — {why it fits}
- {company name} ({type}, {size}) — {why it fits}
- *{Q18 city}-specific:* {local company} ({type}, {size})

**Why AI won't replace this:**
{2-3 sentences referencing AI-resistant properties.}

**Salary range:** {range} | **vs current:** {delta} | **Minimum viable?** {yes/no}
**Timeline:** {estimate}

---

### L3 — New Company: {Title}

**One-liner:** {value proposition}

**What to do:**
- {concrete action 1}
- {concrete action 2}

**Target business types:**
- {company name} ({type}, {size}) — {why it fits}
- {company name} ({type}, {size}) — {why it fits}
- *{Q18 city}-specific:* {local company} ({type}, {size})

**Why AI won't replace this:**
{2-3 sentences referencing AI-resistant properties.}

**Skills bridge:**
| Already Have (verified) | Years | Need to Acquire | How to Get |
|------------------------|-------|-----------------|------------|
| {skill from data} | {N} | {skill gap} | {specific resource/course/path} |
| {dormant skill} ⚠️ | {N} | {refresh needed} | {specific resource} |
(When resume not available, omit "Years" column and dormant flags — use standard 3-column format)

**Salary range:** {range} | **vs current:** {delta} | **Minimum viable?** {yes/no}
**Timeline:** {estimate with milestones}

---

### L4 — Career Pivot: {Title}

**One-liner:** {value proposition}

**What to do:**
- {concrete action 1}
- {concrete action 2}
- {concrete action 3}

**Target business types:**
- {company name} ({type}, {size}) — {why it fits}
- {company name} ({type}, {size}) — {why it fits}
- *{Q18 city}-specific:* {local company} ({type}, {size})

**Why AI won't replace this:**
{2-3 sentences referencing AI-resistant properties.}

**Skills bridge:**
| Already Have (verified) | Years | Need to Acquire | How to Get |
|------------------------|-------|-----------------|------------|
| {skill from data} | {N} | {skill gap} | {specific resource/course/path} |
| {dormant skill} ⚠️ | {N} | {refresh needed} | {specific resource} |
(When resume not available, omit "Years" column and dormant flags — use standard 3-column format)

**Salary range:** {range} | **vs current:** {delta} | **Minimum viable?** {yes/no}
**Timeline:** {estimate with milestones}

---

### L5 — Radical Change: {Title}

**One-liner:** {value proposition}

**What to do:**
- {concrete action 1}
- {concrete action 2}
- {concrete action 3}

**Target business types:**
- {company name} ({type}, {size}) — {why it fits}
- {company name} ({type}, {size}) — {why it fits}
- *{Q18 city}-specific:* {local company} ({type}, {size})

**Why AI won't replace this:**
{2-3 sentences referencing AI-resistant properties.}

**Skills bridge:**
| Already Have (verified) | Years | Need to Acquire | How to Get |
|------------------------|-------|-----------------|------------|
| {skill from data} | {N} | {skill gap} | {specific resource/course/path} |
| {dormant skill} ⚠️ | {N} | {refresh needed} | {specific resource} |
(When resume not available, omit "Years" column and dormant flags — use standard 3-column format)

**Salary range:** {range} | **vs current:** {delta} | **Minimum viable?** {yes/no}
**Timeline:** {estimate with milestones}

---

### Comparison Table

| Level | Direction | Risk | Current → Target | Salary Delta | Timeline | AI-Resistant Properties |
|-------|-----------|------|-------------------|-------------|----------|------------------------|
| L1 | {title} | {low/med/high} | {current role → target} | {+X% / same / -X%} | {time} | {which of the 7 apply} |
| L2 | {title} | {risk} | {transition} | {delta} | {time} | {properties} |
| L3 | {title} | {risk} | {transition} | {delta} | {time} | {properties} |
| L4 | {title} | {risk} | {transition} | {delta} | {time} | {properties} |
| L5 | {title} | {risk} | {transition} | {delta} | {time} | {properties} |

---

## AI Monetization Opportunities
(conditional: only when Q19 has substantive answer)

**Your AI-monetizable assets:**
- {asset 1 from Q19 + Q10 + tech-explainer — e.g., "Deep healthcare domain expertise (8 yrs)"}
- {asset 2}
- {asset 3}

### Path A: AI Employee
{Best-fit roles at AI companies based on Q19 self-assessment + Q10 domain + tech proficiency}

| Role | Company Type | Why You Fit | Salary Range | Gap to Close |
|------|-------------|-------------|-------------|--------------|
| {role} | {AI-native/AI-adopting} | {specific match to Q19/Q10} | {from web research} | {skill gap if any} |

### Path B: AI Founder / Freelancer
{Concrete product/service ideas synthesized from Q19 + market research}

| Idea | Business Model | Target Market | Competition | Feasibility |
|------|---------------|---------------|-------------|-------------|
| {product/service} | {SaaS/Consulting/Marketplace/API} | {niche from Q19 + Q18 market} | {from web research} | {Low/Medium/High based on skills gap} |

**Market validation:** {web research findings for Q19-related AI services/products}
**Revenue potential:** {realistic range based on business model + market}
**Time to first revenue:** {estimate}
**Recommended first step:** {specific action}

---

## Your Unique Edge: The AI Orchestrator Advantage
(conditional: only for users with AI Leverage Score >= 7)

{Section explaining that the ability to effectively orchestrate AI
is itself a rare and valuable skill. Reference specific evidence:
- Number and sophistication of installed plugins
- Session complexity patterns
- Delegation maturity level
- Multi-clauding behavior
- Meta-learning patterns

Frame this as a competitive moat: while most people struggle to
use AI at Level 1-2, this user operates at Level 4-5, which is
itself a career differentiator.}

---

## Action Plan

### Next 30 days
- {concrete action 1 with specific resource/link}
- {concrete action 2}
- {concrete action 3}

### Next 6 months
- {milestone 1}
- {milestone 2}

### Next 1-2 years
- {target state}
- {measurable outcome}

---

## Blind Spots & Honest Assessment

{Honest section about weaknesses found in the data:
- Technology gaps (learning-level technologies from technology-explainer)
- Friction patterns (what frustrates the user about AI — may indicate
  areas where they need to adapt rather than resist)
- Over-reliance risks (if AI Leverage Score is very high,
  what happens if AI tools become unavailable or change?)
- Skill gaps between current role and recommended directions
- Contrastive analysis findings (self-reported vs observed discrepancies)}

### Satisfaction Gap
(conditional: only if Satisfaction Alignment Score ≤ 2)

{Your energy comes from {pet projects/hobbies/volunteering}, not from your day job.
This misalignment suggests your current role may not be sustainable long-term,
even if Q1b says "Love it". Evidence:
- Q1c satisfaction sources: {list — mostly outside work}
- Q2b work description: {what they do at work}
- Gap: {specific discrepancy — e.g., "You describe your work as pipeline maintenance,
  but all your energy comes from mentoring and building Telegram bots"}
Implication for directions: L3-L5 should prioritize aligning with energy sources, not just current skills.}

### AI Monetization Reality Check
(conditional: only when Q19 answered)

{Compare Q19 self-assessed monetizable skills against web research evidence:
- **Validated:** {skills/ideas with market evidence from web research}
- **Unvalidated:** {skills/ideas without supporting market evidence — flag as requiring more research}
- **Overlooked:** {monetizable assets from Q10/tech-explainer NOT mentioned in Q19}}

### Career Pattern Blind Spots
(conditional: only when PDF resume provided)

{Resume-derived observations the user may not see:
- **Skill atrophy:** skills listed on resume but unused in last 2+ positions — market may expect proficiency the user no longer has
- **Stagnation indicators:** same title for 5+ years without scope expansion — may signal plateau
- **Education-career misalignment:** degree field vs actual career path — untapped potential or irrelevant credential
- **Resume embellishment patterns** (from Q3b): where user admits resume doesn't match reality — reframe as actionable gaps
- **Predicted next transition window:** based on avg tenure and current position duration — "Based on your pattern, you typically transition around {N} years. You're at {M} years now."}

### Sustainability Warning
(conditional: only if 3+ burnout risk indicators flagged)

{Specific indicators detected and evidence:
- Which indicators were flagged (e.g., "Night work: 45% of sessions after 22:00")
- Impact on recommended timelines (all extended by 3-6 months)
- Concrete recommendations for sustainability
- If 5/5 flags: "URGENT — consider stabilization before any career moves"}

### Financial Risk Assessment
(conditional: only if Q16 answered)

{Comparison of current bracket against each direction:
- Current bracket: {Q16 answer}
- Which levels meet minimum viable compensation: {list}
- Which levels need financial runway (savings, side income): {list}
- Safest path (highest certainty of maintaining income): {L1/L2}
- Highest upside path: {L4/L5}
- Risk/reward recommendation based on Q14 risk tolerance}

---

## Data Sources Used

| Source | Status | Key Insight |
|--------|--------|-------------|
| Memory Chat File | {check/cross} | {one-line summary} |
| PDF Resume | {check/cross} | {N years, M companies, career velocity} |
| CC Insights Report | {check/cross} | {summary} |
| Session Metadata ({N}d) | {check/cross} | {N sessions, M projects} |
| Technology Explainer | {check/cross} | {expert/intermediate/learning counts} |
| Stats Cache | {check/cross} | {summary} |
| Installed Plugins | {check/cross} | {N plugins} |
| Web Research | {check/cross} | {N searches} |
| Interview | {check/cross} | {N questions answered} |

Formatting Rules

• Use stars (e.g., ⭐⭐⭐) for risk dimension scores
• Use checkmarks (✅) and crosses (❌) for data source status
• Target ~100-150 words per amplitude level (shorter per level is fine — 5 total levels replace the old 3-4 at 150-200 words each)
• Bold key findings and scores
• Use tables for structured comparisons
• Keep action items specific and actionable (not vague "learn more about X")
• Salary ranges should include currency and geography
• All evidence claims should reference which data source they come from
• Target business types: name real companies, include at least one local (from Q18) per direction
• The Comparison Table at the end of Recommended Directions is MANDATORY — never omit it