--- name: Resume Rebuilder category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Resume Rebuilder ## What it does Rebuilds your resume from the ground up — every bullet led by a measurable result, filler stripped, formatted for both humans and applicant tracking software. ## When to use it - Your resume has been patched for years instead of rebuilt - You're starting a job search (do this FIRST, before applying anywhere) - Duties on your resume read like a job description, not achievements ## The skill ``` Act as an executive recruiter with 15 years placing candidates in [MY INDUSTRY]. My current resume / work history: [PASTE RESUME, OR JUST LIST JOBS + WHAT YOU DID + ANYTHING YOU'RE PROUD OF] Rebuild it: - Every bullet leads with a measurable result, not a duty - Strong action verbs, no passive language - Kill filler ("responsible for", "team player", "detail-oriented") - Clean format that survives both a 10-second human scan and applicant tracking software (standard headings, no tables/graphics) Before finalizing: ask me for missing numbers one question at a time. If I can only estimate, help me estimate honestly — a defensible "around 30%" beats a vague "significantly improved". Never invent numbers I didn't confirm. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Answer the follow-up questions by voice — you remember more talking than typing - Use Achievement Quantifier first on any bullet you can't put a number on --- --- name: Achievement Quantifier category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Achievement Quantifier ## What it does Turns "I did X at work" into a measurable resume bullet by interviewing you for the numbers you didn't know you had. ## When to use it - A bullet on your resume feels vague but you don't know how to fix it - You genuinely don't think your work was "measurable" (it usually was) - Feeding stronger raw material into the Resume Rebuilder ## The skill ``` Here's something I did at work that I don't know how to describe well: [PLAIN DESCRIPTION OF WHAT YOU ACTUALLY DID] Interview me to find the measurable version. Ask ONE question at a time about things like: how many, how often, how big, compared to what, how long it took before vs after, what it saved or earned, who was affected. Then write the bullet: [Action verb] + [what I did] + [measurable result]. Rules: - Rough honest estimates are fine — phrase them as "approximately" or "over X". - If we genuinely can't find a number, quantify scope instead (team size, customers served, frequency) — never fake an outcome. - Give me 2 versions: one full, one tightened to a single line. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Run every weak bullet through this once — 20 minutes upgrades a whole resume - Keep a running file of quantified wins; future job hunts start half-done --- --- name: Job-Specific Tailor category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Job-Specific Tailor ## What it does Reshapes your resume to mirror a specific job description's language and priorities — the single step that separates "filtered out" from "seen". Run before every application. ## When to use it - Before every single application, no exceptions - The job description emphasizes things your generic resume buries - You're qualified but not getting callbacks ## The skill ``` My resume: [PASTE REBUILT RESUME] The job description: [PASTE FULL JOB POSTING] Tailor my resume to this role: 1. Rewrite to match the language, priorities, and required skills in the posting — using only my real experience. Nothing invented, nothing exaggerated beyond what I actually did. 2. Move my 3 most relevant experiences for THIS role to the top. 3. Where they call a skill by a different name than I do (e.g. "stakeholder management" vs "client communication"), use their term. 4. Show me a short list of what you changed and why, so I learn the pattern instead of depending on you every time. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Follow with ATS Keyword Gap Finder as a double-check - Save each tailored version named by company — interviews reference the version they saw --- --- name: ATS Keyword Gap Finder category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # ATS Keyword Gap Finder ## What it does Finds the exact keywords from a job description missing from your resume, and shows how to add each one naturally — because tracking software filters on exact matches before any human looks. ## When to use it - Final check after tailoring, before submitting - Applying through big-company portals (heaviest ATS filtering) - Strong on paper, silent inbox ## The skill ``` My resume: [PASTE] The job description: [PASTE] 1. Extract the keywords and phrases an applicant tracking system would likely scan for: hard skills, tools, certifications, role-specific terms. Mark which appear in the posting more than once — those weigh heaviest. 2. Show me which are MISSING from my resume, in a simple table: Keyword | Where it appears in the posting | Suggested natural placement in my resume. 3. For each, write the actual revised bullet — natural phrasing, not keyword stuffing. If I don't genuinely have a skill, say "skip — don't claim this" instead of forcing it in. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Both spelled-out and abbreviated forms matter ("Search Engine Optimization (SEO)") - Rerun for every application — every posting scans differently --- --- name: Human Cover Letter category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Human Cover Letter ## What it does Writes a 3-paragraph cover letter that sounds like a person who actually read the job posting — because short and specific beats long and generic every time. ## When to use it - Any application that accepts a cover letter (most people skip it — free edge) - Roles where fit and motivation matter as much as skills - You keep rewriting the same opening line and hating it ## The skill ``` My tailored resume: [PASTE] The job description: [PASTE] The real reason this role/company interests me: [ONE HONEST SENTENCE — even "it's close to home and stable" works; we'll shape it] Write a cover letter, maximum 3 short paragraphs: 1. OPEN with a specific reason I want THIS role — built from my real reason, made presentable but still true. Banned: "I am writing to express my interest", "I was excited to see". 2. CONNECT 1-2 of my actual achievements to what this job needs. Specific numbers over adjectives. 3. CLOSE confident and simple. Banned: "I would welcome the opportunity", anything that sounds like begging. Write like a person talks. If any sentence could appear in anyone else's letter, replace it. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Give your honest reason even if unflattering — shaped truth reads better than polished fiction - For email applications: this IS the email body, no attachment needed --- --- name: LinkedIn Aligner category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # LinkedIn Aligner ## What it does Writes a LinkedIn headline and About section that match your rebuilt resume — because recruiters check LinkedIn within minutes, and a mismatch plants quiet doubt. ## When to use it - BEFORE you start applying, not after - Your LinkedIn still describes a job from two roles ago - Resume and profile tell different stories ## The skill ``` My resume: [PASTE REBUILT RESUME] Write: 1. HEADLINE — under 220 characters. What I do + the value I bring, not just a title. Give me 3 options: one straightforward, one value-led, one with personality. No buzzword chains ("Passionate | Driven | Innovative"). 2. ABOUT SECTION — first person, sounds like me talking: - Opens with what I actually do and for whom - Weaves in my top 3 achievements as a story, not a pasted list - Ends with what I'm looking for (one line, no desperation) - Under 150 words. Short paragraphs — it gets read on phones. Rule: every claim must trace back to something in the resume. The two documents must never contradict each other. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Add "my voice samples: [paste something you wrote]" to kill the AI flavor - Update the headline per job-search focus; About can stay stable --- --- name: Interview Prep Generator category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Interview Prep Generator ## What it does Predicts the 5 most likely questions for a specific role, drafts answers from your real experience, and arms you with 2 questions that show you understand the job. ## When to use it - The night before (or ideally 2-3 days before) an interview - Nervous prep is eating hours without making you sharper - Second rounds — feed it what they asked in round one ## The skill ``` Job description I'm interviewing for: [PASTE] My resume: [PASTE] Interview format if known: [PHONE SCREEN / VIDEO / PANEL / UNKNOWN] Give me: 1. THE 5 MOST LIKELY QUESTIONS for this specific role — not generic "greatest weakness" filler unless this role genuinely invites it. For each, one line on WHY they'll ask it. 2. A strong answer per question built ONLY from my real experience on the resume — structured as situation → what I did → result. Flag any answer where my experience is thin, and coach me on the honest way to handle that gap instead of inventing around it. 3. TWO questions for me to ask at the end that prove I understand what this role is actually for. Nothing answerable by the website. Then: quiz me one question at a time and critique my answers. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Practice OUT LOUD — reading silently doesn't survive pressure - Voice-to-text your practice answers back in for critique --- --- name: Ten-Second Hiring Manager Review category: career works_with: [claude, chatgpt, gemini] difficulty: plug-and-play version: 1.0 source: adapted (user-submitted collection, rewritten) tested: no --- # Ten-Second Hiring Manager Review ## What it does A final brutal pass before you hit send — reviewed the way a busy hiring manager actually reads: 10 seconds, scanning, looking for a reason to skip you. ## When to use it - Right before submitting any application - You've stared at your resume so long you can't see it anymore - Deciding between two versions ## The skill ``` Review this application as a hiring manager with 200 applications and 10 seconds per scan. Resume: [PASTE] Cover letter (if any): [PASTE] The role: [PASTE JOB TITLE + 2-3 KEY REQUIREMENTS] Tell me: 1. SKIP TRIGGERS — what would make you pass in the first 10 seconds. Be brutal. Formatting, weak first bullet, vague titles, anything. 2. STOP TRIGGERS — what would make you slow down and actually read. 3. THE FIX LIST — exact changes, in order of impact. Rewrite the single most important line for me as an example. 4. VERDICT — would this survive the 10-second scan for THIS role: yes / barely / no. Don't soften it; a polite "barely" costs me interviews. ``` ## Example output [TO FILL AFTER TESTING] ## Tweaks - Run twice: once for the ATS-heavy version, once for a human referral version - If verdict is "barely", fix only the top 2 items and rerun — don't rebuild everything --- --- name: The Job Application Pipeline category: career tools_required: [Any AI chat (Claude, ChatGPT, Gemini) — free tiers work] cost: free time_to_set_up: 0 minutes version: 1.0 source: original system built from 8 adapted prompts (see /library career skills) tested: no --- # The Job Application Pipeline ## What it does Eight prompts chained into a complete job-search system: build the foundation once, then run a fast repeatable loop per application, with interview prep ready when calls come. ## What you need Any AI chat app and the 8 career skills from the library. ## Setup (one time — do this BEFORE applying anywhere) 1. **Achievement Quantifier** — run every vague accomplishment through it; collect the bullets 2. **Resume Rebuilder** — feed it your history + the quantified bullets 3. **LinkedIn Aligner** — match your profile to the new resume (recruiters check within minutes) ## The workflow (per application — ~15 minutes) 4. **Job-Specific Tailor** — reshape the resume for this exact posting 5. **ATS Keyword Gap Finder** — catch what the software scans for 6. **Human Cover Letter** — 3 paragraphs, only if the application takes one 7. **Ten-Second Hiring Manager Review** — final brutal pass, fix top items, send ## When interviews come 8. **Interview Prep Generator** — 2-3 days before, practice answers out loud ## Maintenance habits - Save every tailored resume named by company — interviews reference the version they saw - Keep a running "wins file" of quantified bullets; it compounds across your career - After each rejection or interview, feed what you learned back into the base resume monthly ## What we stripped The source implied tailoring alone is "the biggest difference between getting filtered out and getting seen" and that ATS keyword matching is "often the real reason" for silence — plausible, unverifiable, and it varies wildly by company and country. We also hardened every step against the failure mode these prompt packs quietly encourage: inventing experience. Every skill in this pipeline has a no-fabrication rule, because a resume that lies gets you an interview you can't survive.