Honest job-search coach: resume tailoring without fabrication, interview prep and mock interviews, STAR story bank, networking drafts you send, offer negotiation with your own data, an application tracker, and a skills-gap plan.
0 on GitHubby Kyle Rosebrookv1.4.1MITupdated todaycareer
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Plugin job-seeker-augmentor from marketplace augmentor-packs in Krosebrook/augmentor-packs. Commands read from the repo's manifest — today.
What it installs
Skills (8)
application-tracker
Use when the user wants to organize their job search — create or update an application tracker (CSV or Markdown) with company, role, date applied, status, contacts, next action, and follow-up dates; weekly pipeline review; conversion stats from their own data.
interview-prep
Use when the user has an upcoming interview (phone screen, hiring manager, panel, case, technical, final) and wants preparation — likely questions from the posting, company research checklist, \"tell me about yourself\", weakness/gap answers, and questions to ask. Coaches the user's own answers.
mock-interview
Use when the user wants to practice interviewing — behavioral, role-specific, case, or system-design style — with a realistic interviewer persona, one question at a time, follow-up probes, and structured feedback after. The user answers; Claude never answers for them during the mock.
networking-outreach
Use when the user wants to draft networking messages — informational interview requests, referral asks, alumni outreach, recruiter replies, thank-you notes, and follow-ups. Short, specific, low-pressure drafts personalized only with facts the user supplies. Never sends, scrapes, or invents connectio
offer-negotiation
Use when the user has a job offer (or expects one) and wants to evaluate total compensation, compare offers, prepare a counteroffer, script the negotiation call/email, or decide. Uses the user's numbers and market data they gathered; never invents salary benchmarks. Not legal or tax advice.
resume-tailoring
Use when the user wants to tailor a resume, CV, or cover letter to a specific job posting, improve bullets, or check ATS keyword fit. Maps posting requirements to the user's real experience, rewrites bullets in action-impact form, and flags gaps honestly. Never invents experience, metrics, or creden
skills-gap-plan
Use when the user is changing careers or aiming higher and wants to compare their skills to target roles (from postings they supply), identify gaps, and build a time-boxed learning and portfolio plan. Based on postings the user provides, not invented market trends.
star-story-bank
Use when the user wants to build or improve behavioral interview stories (STAR/CAR/SOAR) — leadership, conflict, failure, ambiguity, influence, customer focus. Interviews the user to extract real details, structures them, tags them to common question themes, and tightens delivery. Never invents even
Slash commands (4)
/job-seeker-augmentor:mock
Start a mock interview: one question at a time with follow-ups, then scored feedback
/job-seeker-augmentor:negotiate
Evaluate an offer with your numbers and prepare a negotiation script (email + call) and role-play
/job-seeker-augmentor:outreach
Draft a networking or referral message (two variants) personalized only with facts you supply
/job-seeker-augmentor:tailor
Tailor your resume (and optionally a cover letter) to a posting with a requirement map and honest gap list
Subagents (2)
interview-debriefer
Analyzes a mock-interview transcript or the user's notes from a real interview: scores answers, spots patterns (rambling, missing results, \"we\" vs. \"I\"), drafts a thank-you note for the user to send, and writes a short practice plan file. Use after an interview or mock session.
resume-truth-checker
Read-only reviewer that compares a tailored resume or cover letter against the user's master resume/work history and flags any claim, metric, title, date, skill, or credential not supported by the source. Also checks clarity and ATS basics. Use before submitting an application.
For people with some technical background moving into building with AI: prompt engineering, agentic workflow design, LLM APIs, RAG, evals, shipping a prototype, a learning roadmap, reviewing AI-generated code, and LLM app security.
Co-pilot for parents and family caregivers: family logistics and meal planning, a homework coach that doesn't give answers, school and doctor message drafts, aging-parent appointment prep, a care log, benefits/legal question checklists that defer to professionals, and self-care.
Sparring partner for solo founders: positioning and offer, customer discovery scripts and synthesis, pricing, landing page copy, outreach drafts, weekly CEO review, runway math, SOPs/delegation, and a decision journal.
Start here if you're new to AI: a warm, jargon-free first-week tour, asking clear questions, checking answers and spotting made-up facts, what not to share, picking the right pack, breaking messy tasks into steps, practice with feedback, and a plain-words glossary. Coaches; never replaces you.
Planning and feedback co-pilot for teachers: standards-aligned lesson and unit plans (you supply the standards), differentiation/UDL, rubrics, assessments, feedback suggestions on student work (you stay the grader), parent communication, and classroom AI policy.
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
Build an immersive scroll-scrubbed landing page where a pre-rendered camera flies from outside each scene into its interior, then flows on to the next with no cuts. Interviews the user for topic, story beats, and brand kit; generates cohesive scenes + seamless camera clips with Higgsfield; wires a portable, framework-agnostic scrub engine.
All PM skills in one install — discovery, strategy, delivery, finance, career, lifecycle, and more. Choose this OR individual skills, not both.
6 commands
deanpeters/Product-Manager-Skills 8,001
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