Skill

resume-analyzer

From egg

This skill should be used when the user wants to analyze a job description against their resume, extract keywords, identify gaps, or prepare tailoring notes. Trigger phrases include "analyze JD", "analyze this job description", "extract keywords from JD", "gap analysis for", "what does this role need", "compare my resume to this JD", "tailor resume", "optimize resume for JD", "build resume for", "target job description", "customize resume for", "resume for this role", "refactor resume", "update resume for", "match resume to JD", or when a user pastes a job description alongside their resume. It produces a notes.md analysis file that resume-tailor uses to generate the final resume.

Install

npx claudepluginhub luqmannurhakimbazman/ashford

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Analyze a job description against the master resume (`hojicha/resume.tex`) and candidate context (`hojicha/candidate-context.md`). Output: `hojicha/<company>-<role>-resume/notes.md`.

Supporting Assets

evaluations/trigger-tests.mdreferences/candidate-discovery.md

SKILL.md

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Last CommitMar 7, 2026

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Resume Analyzer

Analyze a job description against the master resume (hojicha/resume.tex) and candidate context (hojicha/candidate-context.md). Output: hojicha/<company>-<role>-resume/notes.md.

Critical Rules

NEVER fabricate experiences, skills, or achievements. Only use content from the master resume and candidate-context.md. You may rephrase and emphasize -- never invent.
Never generate generic content -- ask instead. If a bullet or gap description would be vague, ask a probing question to get real specifics.

Workflow

Step 1: Parse Inputs

Read the master resume, candidate context, and the job description.

Required:
- Job description (pasted text, file, or URL -- fetch URL content if needed)
- Master resume: hojicha/resume.tex
- Candidate context: hojicha/candidate-context.md
Optional (ask if not provided):
- Company name
- Role title
- Special instructions (e.g., "emphasize ML experience")

Derive <company> and <role> from the JD. Use lowercase, hyphenated slugs (e.g., kronos-research-ml-researcher-resume).

Step 2: Discovery Interview (Conditional)

Cross-reference JD requirements against candidate materials. If there are 2+ areas where the JD demands depth that current materials don't address:

Read references/candidate-discovery.md for probing techniques
Ask targeted questions one at a time -- wait for each response
Maximum two follow-ups per topic
Append new discoveries to hojicha/candidate-context.md

Skip if candidate-context.md already covers the JD requirements. Note in the output if skipped and why.

Step 3: Keyword Extraction

Extract and categorize keywords from the JD:

Category	Examples
Hard skills	Python, PyTorch, distributed training
Soft skills	Leadership, cross-functional collaboration
Domain knowledge	NLP, reinforcement learning, quantitative finance
Tools/platforms	AWS, Docker, Kubernetes
Qualifications	BSc in CS, 3+ years experience

Separate into Required vs Preferred. Count frequency -- terms repeated across the JD are high-priority. Include both acronyms and full forms (e.g., "Natural Language Processing (NLP)").

Step 4: Gap Analysis

Map each JD requirement to existing resume content:

Strong match: Resume already demonstrates this
Reframeable: Experience exists but needs rephrasing
Gap: No matching experience -- before marking, ask the candidate if they have unlisted experience. Persist any discoveries to candidate-context.md

Step 5: Avenues to Strengthen Application

For each gap, provide:

Severity: High (hard requirement, no evidence), Medium (preferred qualification, missing), Low (nice-to-have, easily bridged)
Mitigation strategy: Specific, actionable recommendation (not generic advice)
Why it works: What signal it sends to the hiring manager

Prioritize High gaps first. Include at least one concrete project idea. Never recommend fabricating experience.

Step 6: Output

Create hojicha/<company>-<role>-resume/notes.md containing:

JD summary
Keyword analysis table
Gap analysis table (requirement, status, resume evidence)
Avenues to strengthen application
Recommended section ordering (Education-first for <3yr experience, Experience-first for 3+yr)
Recommended sections to uncomment/comment from master resume

After completing the analysis, tell the user: "Analysis complete. Run the resume-tailor skill to generate the tailored resume.tex from these notes."