Offer Toolkit
One-stop AI job search: from JD to offer
Description
Recommended by
nene@YouMind
Why we love this skill
This tool integrates ten years of Silicon Valley job search methodology. Through three modules—JD decoding, resume reconstruction, and STAR story library—it achieves a full-process intelligent upgrade from job analysis to interview preparation.
A job search system backed by 10 years of experience at a major Silicon Valley company, packaging genuine hiring insights and job search methodologies into AI. Offer Toolkit | AI Job Search Assistant From "discovering your dream job" to "landing the offer," it breaks down the entire job search process into three smart modules: ① JD Decoder Deeply analyze the job description and generate a personalized Offer Strategy Report: - Whether it's worth applying - Role fit assessment - Core strengths and skill gaps - Interview focus and high-probability question predictions ② Resume Builder Transform your experience from a "job description" into a compelling impact story that recruiters recognize: - Automatically structure your personal experience - Optimize project descriptions and quantify achievements - Generate ATS-friendly, high-quality resumes - Supports 11+ print-ready professional templates ③ Behavioral Story Library Mine your real experiences to build reusable interview story assets: - Extract key projects and growth experiences - Automatically convert to STAR Framework - Build a personal Behavioral Interview Story Bank - Efficiently handle "Tell me about a time..." questions Whether you're debating "should I apply for this job," want to "optimize your resume," need to "analyze a JD," or are preparing for your next behavioral interview, Offer Toolkit will automatically identify your needs and route you to the most suitable AI module. Keywords: Job Search, Offer, Career, Job Hunt, JD, Job Description, Resume, CV, Behavioral Interview, STAR, Tell me about a time, Interview Preparation ------------------------------------- job-description-skill: Paste a JD and your resume, and you'll get an HTML report telling you: whether you should apply for this job, how well you match, what gaps exist, what the interview will likely ask, whether the salary is reasonable, and what to do in the next 6 weeks. resume-skill: Helps you polish your existing resume, import from LinkedIn, or write one from scratch through conversation. Provides 11 print-ready templates (Classic-ATS, Ledger, Tech Compact, Modern Sidebar, Pillar, Elegant Serif, Atelier, Timeline, Swiss, Executive, Color-block). Each time, it provides two files: one directly printable as PDF, and one you can edit by clicking words in the browser. bq-skill: It doesn't give you ready-made answers; instead, it helps you dig out things you've actually done and organize them into a reusable story library. It will ask about your experiences step by step, help you clarify your thinking using STAR/CAR, and tag them with labels like "decision-making" and "overcoming adversity." It saves one copy in Chinese and one in English, so you can use the same story for different behavioral questions next time. It can also look at a JD and predict 20 questions the company might ask, helping you prepare one by one. Three shared rules: 1. No fabrication. All experiences, responsibilities, and numbers come from what the user has actually said. It can help rephrase weak expressions, but it will never invent companies, positions, achievements, or quantified numbers. Numbers must be verified with the user. 2. Ask only one question at a time. Digging stories, building resumes, and preparing BQs are conversations, not questionnaires. 3. Structure first, then output. First convert to a standard data model, confirm it's correct, then render HTML or generate answers.
Related Skills
View all
ResearchSpark | Video Hook Analyzer
When preparing to make a video, we often run into the same problem: you can clearly see that a reference video “knows how to tell a story,” but when it’s your turn to create, you can only imitate it by feel. 「Spark | Video Hook Analyzer」is designed for this step. Give it a specific YouTube video. It first verifies the video and reads captions that can be checked, then separates three things that are easy to conflate: Literal 30s: What actually happens from 0:00–0:30. Intro: The entire opening before the main content begins. Hook / Re-hook: One or more structural beats that genuinely work to keep viewers watching. So it won’t force the first 30 seconds of every video to be interpreted as the Hook just because “everyone says the first 30 seconds matter most.” If the real Hook comes after the one-minute mark, it will tell you plainly. If the captions or timestamps are insufficient, it will clearly identify the evidence gap instead of filling it with an answer that merely looks professional. After breaking down the opening, it continues by using an outline to reconstruct the structure of the full video: Does it move forward through a timeline, experiment, process, comparison, story, chain of questions, or another organizing device? Finally, it abstracts these structures into [slots] templates. The templates preserve the sequence and function of the structure—not the original creator’s experiences, wording, brand, numbers, opinions, or authority. What you ultimately get is not a video summary, but a Hook Outline + full-video structure template that can be handed off to the next stage of creation. What it does not do It does not: Write the final new Hook for you; Score or rewrite your opening with BRENS; Search the entire niche or channel at scale; Generate a complete script; Generate diagrams, assets, animations, or thumbnails. Finding reference samples at scale belongs to the upstream 「Spark | YouTube Content Researcher」; refining your own Hook belongs to the corresponding follow-up Skill.
ResearchSpark | YouTube Researcher
Planning a video but unsure how others have already covered the topic? “Spark | YouTube Researcher” conducts real research on YouTube: finding relevant videos, reading transcripts, breaking down titles and the first 30 seconds, reconstructing content structures, and identifying recurring approaches, clear differences, and gaps that no one has addressed well across multiple examples. You can use it to: Research which approaches are repeatedly used for a topic Deeply analyze how a video is presented Scan a channel’s topics, titles, and content patterns Break down the first 30-second hook and the full video structure Find new creative angles in existing videos Research how to repackage your own finished video It won’t jump to the conclusion that a title must work simply because one video has high views. When transcripts, timestamps, or performance data are unavailable, it will also clearly tell you what evidence is missing. What you get is not a pile of video summaries, but a YouTube research brief you can hand directly to the next step of topic development, hook creation, or scriptwriting. Ideal for YouTube creators, video planners, social media operators, and anyone who wants to see how far others have taken a topic before starting to film.
Goofy Word Mnemonics
Enter an English word and get a comic-strip memory card: its pronunciation, meaning, and example sentence are all drawn into one continuous mini-scene using speech bubbles, signs, and sound effects. Outside the image, leave only one line of header information and one line of recall prompt. Impact matters more than polish; child-safe.
Offer Toolkit
One-stop AI job search: from JD to offer
Description
Recommended by
nene@YouMind
Why we love this skill
This tool integrates ten years of Silicon Valley job search methodology. Through three modules—JD decoding, resume reconstruction, and STAR story library—it achieves a full-process intelligent upgrade from job analysis to interview preparation.
A job search system backed by 10 years of experience at a major Silicon Valley company, packaging genuine hiring insights and job search methodologies into AI. Offer Toolkit | AI Job Search Assistant From "discovering your dream job" to "landing the offer," it breaks down the entire job search process into three smart modules: ① JD Decoder Deeply analyze the job description and generate a personalized Offer Strategy Report: - Whether it's worth applying - Role fit assessment - Core strengths and skill gaps - Interview focus and high-probability question predictions ② Resume Builder Transform your experience from a "job description" into a compelling impact story that recruiters recognize: - Automatically structure your personal experience - Optimize project descriptions and quantify achievements - Generate ATS-friendly, high-quality resumes - Supports 11+ print-ready professional templates ③ Behavioral Story Library Mine your real experiences to build reusable interview story assets: - Extract key projects and growth experiences - Automatically convert to STAR Framework - Build a personal Behavioral Interview Story Bank - Efficiently handle "Tell me about a time..." questions Whether you're debating "should I apply for this job," want to "optimize your resume," need to "analyze a JD," or are preparing for your next behavioral interview, Offer Toolkit will automatically identify your needs and route you to the most suitable AI module. Keywords: Job Search, Offer, Career, Job Hunt, JD, Job Description, Resume, CV, Behavioral Interview, STAR, Tell me about a time, Interview Preparation ------------------------------------- job-description-skill: Paste a JD and your resume, and you'll get an HTML report telling you: whether you should apply for this job, how well you match, what gaps exist, what the interview will likely ask, whether the salary is reasonable, and what to do in the next 6 weeks. resume-skill: Helps you polish your existing resume, import from LinkedIn, or write one from scratch through conversation. Provides 11 print-ready templates (Classic-ATS, Ledger, Tech Compact, Modern Sidebar, Pillar, Elegant Serif, Atelier, Timeline, Swiss, Executive, Color-block). Each time, it provides two files: one directly printable as PDF, and one you can edit by clicking words in the browser. bq-skill: It doesn't give you ready-made answers; instead, it helps you dig out things you've actually done and organize them into a reusable story library. It will ask about your experiences step by step, help you clarify your thinking using STAR/CAR, and tag them with labels like "decision-making" and "overcoming adversity." It saves one copy in Chinese and one in English, so you can use the same story for different behavioral questions next time. It can also look at a JD and predict 20 questions the company might ask, helping you prepare one by one. Three shared rules: 1. No fabrication. All experiences, responsibilities, and numbers come from what the user has actually said. It can help rephrase weak expressions, but it will never invent companies, positions, achievements, or quantified numbers. Numbers must be verified with the user. 2. Ask only one question at a time. Digging stories, building resumes, and preparing BQs are conversations, not questionnaires. 3. Structure first, then output. First convert to a standard data model, confirm it's correct, then render HTML or generate answers.
Related Skills
View allResearchSpark | Video Hook Analyzer
When preparing to make a video, we often run into the same problem: you can clearly see that a reference video “knows how to tell a story,” but when it’s your turn to create, you can only imitate it by feel. 「Spark | Video Hook Analyzer」is designed for this step. Give it a specific YouTube video. It first verifies the video and reads captions that can be checked, then separates three things that are easy to conflate: Literal 30s: What actually happens from 0:00–0:30. Intro: The entire opening before the main content begins. Hook / Re-hook: One or more structural beats that genuinely work to keep viewers watching. So it won’t force the first 30 seconds of every video to be interpreted as the Hook just because “everyone says the first 30 seconds matter most.” If the real Hook comes after the one-minute mark, it will tell you plainly. If the captions or timestamps are insufficient, it will clearly identify the evidence gap instead of filling it with an answer that merely looks professional. After breaking down the opening, it continues by using an outline to reconstruct the structure of the full video: Does it move forward through a timeline, experiment, process, comparison, story, chain of questions, or another organizing device? Finally, it abstracts these structures into [slots] templates. The templates preserve the sequence and function of the structure—not the original creator’s experiences, wording, brand, numbers, opinions, or authority. What you ultimately get is not a video summary, but a Hook Outline + full-video structure template that can be handed off to the next stage of creation. What it does not do It does not: Write the final new Hook for you; Score or rewrite your opening with BRENS; Search the entire niche or channel at scale; Generate a complete script; Generate diagrams, assets, animations, or thumbnails. Finding reference samples at scale belongs to the upstream 「Spark | YouTube Content Researcher」; refining your own Hook belongs to the corresponding follow-up Skill.
ResearchSpark | YouTube Researcher
Planning a video but unsure how others have already covered the topic? “Spark | YouTube Researcher” conducts real research on YouTube: finding relevant videos, reading transcripts, breaking down titles and the first 30 seconds, reconstructing content structures, and identifying recurring approaches, clear differences, and gaps that no one has addressed well across multiple examples. You can use it to: Research which approaches are repeatedly used for a topic Deeply analyze how a video is presented Scan a channel’s topics, titles, and content patterns Break down the first 30-second hook and the full video structure Find new creative angles in existing videos Research how to repackage your own finished video It won’t jump to the conclusion that a title must work simply because one video has high views. When transcripts, timestamps, or performance data are unavailable, it will also clearly tell you what evidence is missing. What you get is not a pile of video summaries, but a YouTube research brief you can hand directly to the next step of topic development, hook creation, or scriptwriting. Ideal for YouTube creators, video planners, social media operators, and anyone who wants to see how far others have taken a topic before starting to film.
Goofy Word Mnemonics
Enter an English word and get a comic-strip memory card: its pronunciation, meaning, and example sentence are all drawn into one continuous mini-scene using speech bubbles, signs, and sound effects. Outside the image, leave only one line of header information and one line of recall prompt. Impact matters more than polish; child-safe.
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