Job Description AnalyzerCAUTION

A collection of AI agent skills focused on resume optimization, job applications, and career development. Built for job seekers, career changers, and professionals who want Claude Code to help with resume writing, ATS optimization, interview prep, and strategic job search.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: job-description-analyzer
description: Analyze job postings, calculate match scores, identify gaps, and create application strategy
---

# Job Description Analyzer

## When to Use This Skill

Use this skill when the user:
- Wants to analyze a job posting
- Asks "should I apply to this job?"
- Wants to know their match percentage for a role
- Needs help understanding job requirements
- Wants to tailor their resume for a specific position
- Mentions: "analyze this job", "am I qualified", "match score", "should I apply"

Use this BEFORE resume tailoring to ensure effort is worth it.

## Core Capabilities

- Extract and categorize job requirements (must-have vs nice-to-have)
- Calculate match score between user's experience and job requirements
- Identify skill gaps and strengths
- Detect red flags in job postings
- Prioritize which experiences to highlight
- Generate resume tailoring strategy
- Create cover letter talking points
- Assess company culture fit indicators

## The Strategic Problem

Most job seekers waste time on:
- Jobs they're under-qualified for (<60% match)
- Jobs they're over-qualified for (flight risk)
- Jobs with red flags (high turnover, toxic culture)
- Applying to 50+ jobs blindly hoping something sticks

Better approach:
- Apply to 10-15 jobs strategically
- Target 70-90% match jobs
- Customize deeply for each
- Higher response rate, less burnout

## Analysis Process

### Step 1: Extract Requirements

Break job description into categories:

**Required (Must-Have)**
- Education requirements
- Years of experience
- Specific technical skills
- Certifications/licenses
- Industry experience

**Preferred (Nice-to-Have)**
- "Bonus" skills
- Advanced certifications
- Domain expertise
- Specific tool experience

**Soft Skills/Culture**
- Communication style
- Work environment
- Team structure
- Company values

### Step 2: Keyword Extraction

Identify three types:

**Hard Skills** (Technical abilities)
- Tools: Salesforce, Python, AWS, Excel
- Methodologies: Agile, Six Sigma, SDLC
- Certifications: PMP, CPA, AWS Certified

**Soft Skills** (Interpersonal)
- Leadership, collaboration, communication
- Problem-solving, critical thinking
- Adaptability, initiative

**Industry/Domain Knowledge**
- B2B SaaS, healthcare, fintech
- Enterprise vs SMB
- Regulatory knowledge (HIPAA, SOX, GDPR)

### Step 3: Calculate Match Score

```
MATCH CALCULATION:

Required Skills:
- User has 8 out of 10 required = 80%

Preferred Skills:
- User has 3 out of 5 preferred = 60%

Overall Match:
- Weight required 70%, preferred 30%
- (80% × 0.7) + (60% × 0.3) = 74%

INTERPRETATION:
90-100% = Overqualified (may be flight risk)
75-89% = Excellent fit (apply immediately)
60-74% = Good fit (apply with strong cover letter)
50-59% = Stretch role (apply if passionate)
<50% = Under-qualified (skip unless dream job)
```

### Step 4: Gap Analysis

For each missing requirement:
- **Critical gap**: Deal-breaker (don't apply)
- **Major gap**: Significant but addressable (mention in cover letter)
- **Minor gap**: Easy to learn (downplay or emphasize related skills)

### Step 5: Red Flag Detection

Scan for warning signs:

**Workload Red Flags:**
- "Wear many hats"
- "Fast-paced environment"
- "Hit the ground running"
- "Self-starter in ambiguous situations"

**Culture Red Flags:**
- "Rockstar/Ninja/Guru"
- "We work hard, play hard"
- "Unlimited vacation"
- "Like a family"

**Compensation Red Flags:**
- "Competitive salary" (won't tell you range)
- "Equity-heavy" (low cash compensation)
- "Commission-based" (no base salary)
- "DOE" with no range

## Match Score Output Format

```markdown
# JOB ANALYSIS REPORT

**Position:** Senior Product Manager
**Company:** TechCorp Inc.
**Location:** San Francisco, CA (Hybrid)
**Salary Range:** $140K-$180K + equity

═══════════════════════════════════════════

## OVERALL MATCH SCORE: 78% ✅

**Recommendation:** STRONG FIT - Apply within 48 hours

**Application Priority:** HIGH
**Estimated Competition:** Medium (Posted 2 days ago)
**Time to Tailor Resume:** 30-45 minutes

═══════════════════════════════════════════

## REQUIREMENTS BREAKDOWN

### Required Skills - 8/10 ✅

✅ 5+ years product management (You have: 6 years)
✅ B2B SaaS experience (You have: 4 years)
✅ Agile/Scrum (You have: 5 years)
✅ Cross-functional leadership (You have: Strong experience)
✅ Data-driven decision making (You have: 3 years analytics)
✅ API products (You have: 2 years)
✅ Roadmap planning (You have: Extensive)
✅ User research (You have: 2 years)
❌ SQL/data analysis (You have: Basic Excel only) ⚠️
❌ Mobile product experience (You don't have) ⚠️

### Preferred Skills - 4/6 ✅

✅ MBA or equivalent (You have: MBA from UC Berkeley)
✅ Developer tools experience (You have: 2 years)
✅ Payment systems (You have: 1 year)
✅ International markets (You have: Worked with EU teams)
❌ E-commerce background (You don't have)
❌ Machine learning products (You don't have)

### Soft Skills - 5/5 ✅

✅ Stakeholder management (Strong mentions in your resume)
✅ Communication (You present regularly)
✅ Strategic thinking (MBA + senior experience)
✅ Influence without authority (You've done this)
✅ Customer empathy (User research experience)

═══════════════════════════════════════════

## STRENGTHS TO EMPHASIZE

**Your Top 3 Selling Points:**

1. **B2B SaaS PM Experience**
   - 4 years in SaaS, exactly what they want
   - Lead with this in resume summary

2. **API Product Background**
   - Your developer tools experience is highly relevant
   - This differentiates you from other candidates

3. **Data-Driven Approach**
   - Your analytics background addresses their need
   - Emphasize metrics and data in every bullet

═══════════════════════════════════════════

## GAPS TO ADDRESS

**Critical Gaps:** None ✅

**Major Gaps:**
⚠️ **SQL/Data Analysis**
- They mention this 5x in job description
- They want PM who can query data independently

**Strategy:**
- Don't avoid this gap
- Address in cover letter: "While my primary analytics wor

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (5)

.agent/skills/executive-resume-writer

.agent/skills/interview-prep-generator

.agent/skills/job-description-analyzer

.agent/skills/linkedin-profile-optimizer

.agent/skills/offer-comparison-analyzer

Gates applied: no_behavioural_pass.

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