agentsclimarketplace

Interview prep

Skill Rish-Modi/career-agent/.claude/skills/interview-prep

A Claude Code project that turns job searching into a structured workflow. Your career history, goals, target companies, and active applications all live in one place so Claude can reason across them. No more juggling Google Docs, Notion, and a dozen open Job Descriptions.

Install
npx -y skills add Rish-Modi/career-agent --skill interview-prep

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Behavioral interview prep, mock interviews, company research, and round-specific cheat-sheets. Selects from the project STAR files in $PERSONAL/career/star/ and orchestrates them into prep artifacts. For coding interviews, use coding-prep. For creating new STAR project files, use star-stories.

SKILL.md

11.4 KB, as published. Nobody here has run it

Interview Prep

Scope and boundaries

This skill selects, sequences, and rehearses behavioral material. It does not create the raw stories.

  • Project STAR records live in $PERSONAL/career/star/<slug>.md, owned by the star-stories skill.
  • Behavioral coverage audits, mock interviews, company research, and cheat-sheets are owned here.
  • Coding interview prep is owned by coding-prep.

If a needed story is missing from $PERSONAL/career/star/, this skill does not write a new STAR file. It tells the user to run /star-stories <project> and resumes once the file exists.

Inputs

$PERSONAL is the personal-docs sibling directory defined in CLAUDE.md. Resolve once at the start of the session.

Always available:

  • $PERSONAL/career/star/*.md — project STAR records (source of truth for behavioral material).
  • $PERSONAL/career/impact-doc.md — fallback when star/ is missing coverage; used to recommend which projects to STARify next.
  • $PERSONAL/career/goals.md — read if exists; informs which competencies the user wants to emphasize.

Per role (when relevant):

  • $PERSONAL/applications/<company>/<role-slug>/role.md — fit analysis and Job Description.
  • $PERSONAL/applications/<company>/<role-slug>/brief.md — company brief from Mode 3.
  • Prior round cheat-sheets in the same folder.

The competency index

Several modes need a competency → [(file, angle)] map. Build it once per session by scanning $PERSONAL/career/star/*.md:

  • Read each file's frontmatter primary_competencies array.
  • Scan the body for ## Angle N: headers (each angle is what gets recommended, not the whole file).
  • Map each competency to the list of (file, angle title) pairs that support it.

This index is in-memory only. Not persisted. Rebuilt on each session because star/ files change.

Standard competency vocabulary (use these tags consistently across modes):

  • leadership, influence-without-authority
  • conflict (peer, manager, cross-team)
  • ambiguity, defining-the-problem
  • failure-and-recovery
  • technical-depth, architecture
  • leverage, multiplying-team-output
  • mentorship, scaling-through-others
  • difficult-tradeoff, scope-quality-time
  • cross-functional-partnership
  • driving-change-in-a-large-org
  • data-judgment, product-influence
  • on-call, production-incident
  • agent-architecture, MCP, AI-product

If a star/ file uses a non-standard competency in its frontmatter, accept it but flag the drift in the audit output.

Modes

Mode 1: Behavioral coverage audit

Triggered by: "audit my stories", "do I have coverage for X", "where are my gaps".

Read-only. Does not write to star/, does not write to story-bank.json (deprecated).

Steps:

  1. Build the competency index.
  2. Report coverage in three buckets:
    • Strong (3+ projects support this competency)
    • Thin (1-2 projects)
    • Gap (0 projects)
  3. For each Gap and Thin competency, look at $PERSONAL/career/impact-doc.md and recommend one specific project that would close the gap. Output as: "Run /star-stories <project> to add coverage on <competency>."
  4. End with a one-line summary: "X competencies strong, Y thin, Z gaps."

Do not write a new file. Do not propose draft stories. The audit's job is to point at what's missing, not fill it.

Mode 2: Mock interview

Triggered by: "mock interview", "let's practice", "run a mock for the Pinecone HM round".

Setup:

  • Confirm company, role-slug, round type (recruiter / hiring manager / tech screen / onsite behavioral / system design framing / cross-team collab), interviewer role, and time budget.
  • Confirm: strict mode (stay in character, feedback at end) or coaching mode (feedback after each answer).
  • Build the competency index. Pre-load the role's role.md if it exists.

During:

  • Ask one question at a time. Don't telegraph what's coming.
  • For each answer, evaluate on:
    • Structure: STAR? easy to follow?
    • Specificity: real details, named systems, real numbers? or vague?
    • Ownership: I vs we; did the user's contribution come through?
    • Outcome: quantified impact?
    • Length: 2-4 min ideal. Flag rambling or under-delivery.
  • After each answer (coaching mode) or at the end (strict mode), name the specific star/ file and angle that would have landed it better, e.g.: "agentic-dev-team.md Angle 1 (technical depth) was a stronger fit than the one you used."
  • If the user reaches for a project that has no star/ file, flag it: "I don't have a STAR file for that project. Run /star-stories <project> after this mock to capture it."

End:

  • Overall assessment.
  • Top 2 strengths and top 2 things to fix before the real interview.
  • Stories to rehearse list: 3-5 (file, angle) pairs that the user should drill before the real round.
  • Save the transcript and feedback to $PERSONAL/applications/<company>/<role-slug>/interview-prep/mock-<round>-<YYYY-MM-DD>.md.

Mode 3: Company / role research

Triggered by: "research Pinecone", "build me a brief for this role", "what should I know before this interview".

When the user names a company and an upcoming interview:

  1. Search: recent news (last 6 months), product launches, financial signals, leadership changes, engineering blog posts, glassdoor patterns.
  2. Surface: known interview format, leadership principles or values they evaluate on, likely interviewers if named.
  3. Generate likely questions based on the role + company patterns.
  4. New step: Build the competency index. For each likely question pattern, recommend a specific (file, angle) pair from star/ that would land it. If no good match exists, flag it as a gap and suggest the project worth STARifying.

Don't dump search results. Synthesize. End with a one-page brief at $PERSONAL/applications/<company>/<role-slug>/brief.md.

The brief must include a "Recommended stories for this loop" section: 3-5 file pointers mapped to the round structure (recruiter, HM, tech screen, onsite, behavioral, system design).

Mode 4: Cheat-sheet generation

Triggered by: "build me a cheat-sheet for the Pinecone HM call", "prep cheat-sheet for tomorrow's recruiter screen", or implicit ("I have the HM call tomorrow").

Inputs:

  • Company, role-slug (required).
  • Round type (required): recruiter / hiring-manager / tech-screen / onsite-behavioral / system-design / cross-team-collab.
  • Interviewer name and time (optional; fill in [FILL IN] if missing and ask the user before the call).

Reads: role's role.md (must exist), brief.md (if exists), all star/ files via competency index, prior cheat-sheets in the same folder.

Output: $PERSONAL/applications/<company>/<role-slug>/<round>-cheat-sheet.md with this exact structure:

# <Company> <Round> — Cheat Sheet

**Role:** <position>
**Interviewer:** <name or [FILL IN]>
**When:** <date>, <time or [FILL IN]>
**Stories ready:** <bulleted markdown links to the 3-5 star/ files most relevant to this round>

---

## Opening pitch (30 sec, round-tuned)
<Pitch text. Different for recruiter, HM, tech screen, etc.>

---

## Lead stories (rehearse in order)

### Lead 1: <Project Name> — Angle N (<competency>)
<One-sentence framing of the angle. What to land on. Link to the star/ file:angle.>

### Lead 2: <Project Name> — Angle N (<competency>)
<Same shape.>

### Lead 3: <Project Name> — Angle N (<competency>)
<Same shape.>

Backup stories: <links to 2-3 more star/ files that cover adjacent competencies, no angle pre-selected>

---

## Predicted questions and the angle to play

| Question | Story | Anti-pattern to avoid |
|---|---|---|
| <Likely question 1> | <project.md Angle N> | <what not to do> |
| (4-7 rows, drawn from the role's fit profile + brief if it exists) | | |

---

## Gap framing
<Address the 1-3 weakest fit signals or risks for this role, e.g. "On the Rust/Go gap" or "On the SDK shipping gap". Direct framing, no apology.>

---

## Level / comp framing (only if relevant to this round)
<For recruiter and HM rounds. Skip for tech screens.>

---

## Questions to ask the interviewer (pick N)
<Categorized: technical/scope, team/working-style, strategic, mutual-fit. 6-8 questions, user picks 3-4 in the room.>

---

## What to listen for (signal vs noise)
<Round-specific tells. 3-5 items.>

---

## Don't do these
<3-6 anti-patterns specific to this round and this role.>

---

## After the call
<3-item capture list for role.md Notes within 10 min of hanging up.>

Round-specific adjustments to the template:

  • Recruiter: Heavy on logistics, comp framing, level disambiguation. Light on technical depth. Don't include the "Lead stories" deep dive; replace with "Project highlights to mention if asked."
  • Hiring manager: Heavy on Lead stories, predicted questions, gap framing, level framing. This is the canonical shape.
  • Tech screen (coding): Replace "Lead stories" with "Approach patterns to lean on" + "Communication checklist." Replace "Predicted questions" with "Problem-type predictions." Defer to coding-prep for the actual practice.
  • System design: Replace "Lead stories" with "Architecture patterns I should reach for" (drawing on agentic-dev-team, doc-first-extraction, design-system-mcp). Add a "Trade-off vocabulary" section.
  • Onsite behavioral: Heavy on Lead stories. Add a "Story rotation plan" that prevents recycling the same 2 stories across 4 interviewers. Cross-reference which stories were already used in earlier rounds (read prior cheat-sheets in the folder).
  • Cross-team collab: Heavy on cross-functional-partnership and conflict angles. Lead with vendor-drawer-ab, supplier-payments-plus, doc-first-extraction Angle 4.

If a cheat-sheet already exists at the target path, prompt:

  • Overwrite — regenerate from scratch.
  • Revise — apply targeted updates while preserving structure.
  • Cancel — print to terminal only.

Output discipline

  • Audit (Mode 1): terminal only, no file writes.
  • Mock interview (Mode 2): transcript + feedback at $PERSONAL/applications/<company>/<role-slug>/interview-prep/mock-<round>-<YYYY-MM-DD>.md.
  • Brief (Mode 3): $PERSONAL/applications/<company>/<role-slug>/brief.md.
  • Cheat-sheet (Mode 4): $PERSONAL/applications/<company>/<role-slug>/<round>-cheat-sheet.md.
  • Never write to $PERSONAL/career/star/. That's star-stories' territory.
  • story-bank.json is deprecated. Existing files are ignored, not deleted. Do not create new ones.

Anti-patterns

  • Don't draft or rewrite STAR stories. If material is missing, point at star-stories. Don't duplicate its job.
  • Don't grade mock answers generously. Weak is weak.
  • Don't recycle the same 2 stories across an onsite. Use the rotation plan to enforce range.
  • Don't generate a cheat-sheet without reading the role's role.md. The cheat-sheet's specificity comes from the fit analysis.
  • Don't fabricate stories or metrics. If a star/ file lacks a metric, surface that, don't paper over it.
  • Never use em or en dashes (— –) in any output. Use commas, periods, colons, or parentheses.
  • Don't be vague in recommendations. "Use the Agentic Dev Team story" is weak. "Use agentic-dev-team.md Angle 1 (technical depth)" is correct.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.