Interviewprep

Configuration

Read .jobops/config.json. If missing, stop with:

JOBOPS NOT CONFIGURED Run /jobops:setup to initialize your workspace.

Use config.directories.<key> for all file paths in this skill. Use config.preferences.cultural_profile if this skill generates resume-style content. Use config.preferences.default_jurisdiction if this skill has jurisdiction-sensitive logic (crisis/legal skills accept --jurisdiction=<ISO-3166-2> to override).

Templates

For each template used by this skill, resolve the full path as:

{config.templates.base_dir}/{config.templates.active.}/

Templates referenced by this skill: assessment_report_structure

Application Path Resolution

This skill writes to a per-application folder. Before writing any output:

1. Parse {Company}_{Role}_{YYYYMMDD} from the job-posting filename, or honor --app=<slug> if supplied. The slug MUST be canonical: a leading PascalCase {Company} token (matching the Company_Intelligence/{Company}/ folder so OSINT links), a PascalCase {Role} (underscores between words allowed), and a trailing compact 8-digit date (20260519 — no hyphens, no time). Reject leading date/time prefixes such as 2026-04-15_214414_...; if the source filename carries one, recompose it into canonical form ({Company}_{Role}_{YYYYMMDD}) before composing the folder path.
2. Compose the app folder: {config.directories.applications_root}/{app_slug}/.
3. Resolve this skill's sub-folder by category:
   • resume-development (buildresume, provenance-check) → resume/
   • cover-letter (coverletter) → cover-letter/
   • rubric / assessment (createrubric, assessjob, assesscandidate, auditjobposting) → assessment/
   • briefing / interview prep (briefing, interviewprep) → interview/
4. If the app folder does not exist, mkdir -p it, then copy {config.directories.job_postings}/{filename} → {app_slug}/job_posting.md so the pinned JD cannot silently change under completed work. Ensure the pinned copy begins with YAML front matter carrying output_type: job_posting: if the source JD already has a front-matter block, add the key to it; otherwise wrap a new block (--- / output_type: job_posting / source_jd: {filename} / ---) above the JD body.
5. Exact-slug collisions (same Company+Role+Date) are not auto-suffixed. If the folder already contains the same output type, require the user to pass --app=<distinct-slug>.
6. Output filename (fixed; only the sub-folder above is resolved dynamically): write the question set to interview/interview_prep.md; a split set uses interview/interview_prep_part1.md, interview/interview_prep_part2.md, ….

Your Task

Generate a comprehensive set of interview questions that an employer would likely ask based on:

1. The specific requirements in the job description
2. The candidate's resume content that the employer is reviewing
3. Potential gaps or areas requiring clarification
4. Behavioral competencies relevant to the role

Each question receives a Question Likelihood tag to help candidates prioritize their preparation.

Arguments

• {{ARG1}}: Tailored resume file (required) - The Step 3 final resume sent to employer
• {{ARG2}}: Job description file (required) - The original job posting
• {{ARG3}}: Number of questions (optional) - Defaults to 10 if not specified
• {{ARG4}}: Prep time (optional) - Practice time available: 1d, 2d, 3d, 1w, 2w. Defaults to 3 days if not specified

WORKFLOW ARCHITECTURE

Phase 1 (Parallel batch):     Load resume + job description (2 parallel reads)
Phase 2 (PARALLEL):           Analyze resume vs job ‖ Research interview patterns (subagent)
Phase 3 (Sequential, visible): Generate questions by category
Phase 4 (Sequential):         Create practice schedule → Save

Dependency Rules:

• Phase 1 loads both files in parallel
• Phase 2: Resume analysis (main agent) and interview pattern research (subagent) run concurrently
• Phase 3 WAITS for both Phase 2 tasks
• Phase 4 WAITS for all questions generated

PROGRESS TRACKING (MANDATORY)

Before starting any work, create all tasks for user visibility:

Task Update Rules:

• Mark each task in_progress BEFORE starting work on it
• Mark each task completed AFTER finishing it

Question Likelihood Tags

Likelihood Assignment Logic

IF (Question addresses must-have job requirement) AND (Directly verifies resume claim):
    → HIGH LIKELIHOOD

IF (Question is standard behavioral for role level) AND (Common in industry):
    → HIGH LIKELIHOOD

IF (Question probes gap between resume and requirements):
    → HIGH LIKELIHOOD

IF (Question addresses preferred/secondary requirement):
    → MODERATE LIKELIHOOD

IF (Question digs deeper into already-verified areas):
    → MODERATE LIKELIHOOD

IF (Question addresses nice-to-have skills):
    → LOW LIKELIHOOD

IF (Question covers edge cases or advanced scenarios):
    → LOW LIKELIHOOD

YAML FRONT MATTER

Save the question set to {applications_root}/{app_slug}/interview/interview_prep.md with this prefix:

---
resume_file: {{ARG1}}
job_file: {config.directories.job_postings}/{{ARG2}}
question_count: {{ARG3 or 10}}
prep_time: "<parsed prep time, e.g., '3 days' or '1 week'>"
role: <role title>
company: <company name>
candidate: <full candidate name>
generated_by: /interviewprep
generated_on: <ISO8601 timestamp>
output_type: interview_prep
status: draft
version: 1.1
---

PHASE 1: LOAD INPUTS (Parallel batch)

Task: Mark task 1 in_progress.

Read both files in a single parallel batch:

• Resume from {{ARG1}} (typically {applications_root}/{app_slug}/resume/step3_final.md; accept an absolute path, a path relative to the app folder, or a bare filename to resolve inside the current app folder)
• Job description from {config.directories.job_postings}/{{ARG2}} (add .md extension if needed)

Set question count: Use {{ARG3}} if provided, otherwise default to 10. Parse prep time: Use {{ARG4}} if provided, otherwise default to 3 days.

Task: Mark task 1 completed.

PHASE 2: PARALLEL ANALYSIS

CRITICAL: Dispatch both tasks simultaneously in a SINGLE message. Mark tasks 2 and 3 as in_progress before dispatching.

2.1 Analyze Resume vs Job Requirements (Task 2 - Main agent)

From the Resume:

• Identify strongest qualifications and achievements
• Note any potential gaps or areas needing clarification
• Extract specific projects, metrics, and accomplishments
• Review technical skills and certifications claimed
• Identify leadership and team experiences

From the Job Description:

• Extract must-have technical requirements
• Identify key responsibilities and expectations
• Note soft skills and cultural fit requirements
• Understand reporting structure and stakeholder interactions
• Identify specific industry or domain requirements

Task: Mark task 2 completed.

2.2 Research Common Interview Patterns (Task 3 - Subagent)

Dispatch a research subagent to run concurrently with resume analysis:

Use Task tool with subagent_type=general-purpose, model=sonnet, and prompt:
"Research common interview questions and patterns for [ROLE TITLE] at [COMPANY NAME] or similar roles:

1. Most commonly asked technical questions for this type of role
2. Standard behavioral questions at this seniority level
3. Industry-specific scenario questions
4. Company-specific interview format or culture (if publicly known)
5. Common follow-up probes interviewers use for this role type
6. Red flags that interviewers typically screen for at this level

Provide a structured summary organized by question category.
Focus on what's most likely to actually be asked in an interview."

Task: Mark task 3 completed when subagent returns.

PHASE 3: GENERATE QUESTIONS (Sequential, per-category visibility)

Prerequisites: Both analysis (task 2) and research (task 3) must be completed.

Distribute questions across categories (adjust based on total number):

• Technical Competency (30-40% of questions)
• Behavioral/Situational (30-40% of questions)
• Experience Verification (20-30% of questions)
• Cultural Fit (10-20% of questions)
• Role-Specific Scenarios (10-20% of questions)

3.1 Generate Technical Competency Questions

Task: Mark task 4 in_progress.

For each question, provide:

A. The Question - Clear, specific, with Likelihood tag (HIGH/MODERATE/LOW)

B. Question Context - Why likely asked, what's being assessed, likelihood rationale

C. Suggested Answer Approach - Key points, STAR format guidance, specific resume examples, red flags to avoid

D. Follow-up Questions - 2-3 likely follow-up probes

E. Practice Priority - Minimum/recommended practice time and method

Question types:

• Verify Claimed Expertise: "You mention [specific skill/technology] on your resume. Can you describe a complex problem you solved using this?"
• Applied Knowledge: "How would you approach [specific technical challenge relevant to role]?"
• Best Practices: "What's your methodology for [key technical process]?"
• Trade-offs: "When would you choose [approach A] over [approach B]?"

Task: Mark task 4 completed.

3.2 Generate Behavioral and Situational Questions

Task: Mark task 5 in_progress.

• Leadership: "Tell me about a time when you led a team through a challenging project"
• Problem-Solving: "Describe a situation where you identified and solved a critical issue"
• Stakeholder Management: "Give an example of managing conflicting stakeholder priorities"
• Innovation: "Share an instance where you improved a process or introduced innovation"
• Failure/Learning: "Tell me about a project that didn't go as planned"

Also generate Cultural Fit and Role-Specific Scenario questions in this step.

Task: Mark task 5 completed.

3.3 Generate Experience Verification Questions

Task: Mark task 6 in_progress.

• Metrics Validation: "You achieved [specific metric]. Walk me through how you measured and achieved this"
• Role Clarification: "Explain your specific role in [major project mentioned]"
• Impact Assessment: "What was the business impact of [specific achievement]?"

Customize based on gaps between resume and requirements. Mark gap-probing questions as HIGH LIKELIHOOD.

Task: Mark task 6 completed.

PHASE 4: PRACTICE SCHEDULE AND SAVE

4.1 Create Practice Schedule

Task: Mark task 7 in_progress.

Generate a day-by-day practice schedule based on available prep time:

For 1-2 days available:

• Day 1: HIGH LIKELIHOOD questions (4-5 hours) + mock practice
• Day 2: MODERATE LIKELIHOOD + review HIGH + opening/closing statements

For 3-5 days available:

• Day 1: All HIGH LIKELIHOOD - full STAR answers written
• Day 2: MODERATE LIKELIHOOD - outline key points + technical prep
• Day 3: Full mock interview + LOW LIKELIHOOD skim + questions for interviewer

For 1-2 weeks available:

• Days 1-2: HIGH LIKELIHOOD mastery
• Days 3-4: MODERATE LIKELIHOOD development
• Days 5-6: Mock interviews + refinement
• Day 7: Final review + LOW LIKELIHOOD skim

Include strategic guidance:

• Opening Statement: 60-second pitch tailored to role
• Closing Statement: Summary of fit and interest
• Questions for Interviewer: 5 intelligent questions about role/company
• Thank You Note Template: Post-interview follow-up template

Task: Mark task 7 completed.

4.2 Format and Save

Task: Mark task 8 in_progress.

Create a structured interview preparation guide with:

• Executive Summary with likelihood breakdown
• Practice Schedule based on prep time
• All questions organized by likelihood (HIGH first, then MODERATE, then LOW)
• Quick Reference Sheet

Multi-Part Output Structure:

• If the complete guide exceeds 25,000 tokens, split into multiple parts
• Each part must not exceed 25,000 tokens
• Save parts as:
  • interview_prep_part1.md
  • interview_prep_part2.md
  • etc.
• Location: {applications_root}/{app_slug}/interview/ directory (single-part output saves to interview_prep.md)

Logical Splitting Guidelines:

• Part 1: Executive Summary + Practice Schedule + HIGH LIKELIHOOD questions
• Part 2: MODERATE LIKELIHOOD questions
• Part 3: LOW LIKELIHOOD questions + Strategic Guidance + Quick Reference Sheet
• Split at natural question boundaries, never mid-question
• Each part includes header referencing total parts and navigation references

Task: Mark task 8 completed.

Quality Checks

Ensure the interview questions:

• Directly relate to job requirements or resume content
• Each question has a Likelihood tag (HIGH/MODERATE/LOW)
• Likelihood Breakdown included in Executive Summary
• Practice Schedule generated based on prep time
• Balance technical and behavioral assessment
• Include both strengths-based and gap-probing questions
• Provide actionable guidance for responses
• Cover all critical competencies for the role
• Questions organized by likelihood (HIGH first)
• Include scenario-based questions relevant to actual job duties
• Each individual part does not exceed 25,000 tokens
• Multi-part reports split logically at question boundaries

Output

The final interview preparation guide should:

1. Build candidate confidence through thorough preparation
2. Prioritize practice time on most likely questions
3. Anticipate likely questions based on specific resume/job alignment
4. Provide strategic response frameworks
5. Include recovery strategies for difficult questions
6. Prepare candidate for various interview formats (phone, video, panel)

The candidate should be able to use this guide for focused interview practice, knowing exactly which questions deserve the most preparation time.