technical-job-search
Assists software engineers in job searching. It helps analyze job descriptions, tailor resumes, and write cover letters.
What it does
Helps software engineers with job searching. It analyzes job descriptions, tailors resumes, writes cover letters, evaluates job offers, and drafts follow-up emails.
When to use it
- ✓When you receive a job description and want to understand the requirements.
- ✓When you have a job offer and want to compare it with other options.
- ✓When you need to write a thank-you email after an interview.
Example of what to ask your AI
“Analyze this job description and tell me the must-have and nice-to-have requirements.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI reads the documents you provide (job description, resume, etc.) and uses the instructions to extract important information, rewrite text, or compare details.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill technical-job-searchOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/technical-job-search/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Technical Job Search
Helps software engineers with discrete job search tasks: job description analysis, CV tailoring, cover letter writing, offer evaluation, and follow-up emails.
Job Description Analysis
When given a job description, extract and structure:
Must-haves (explicitly required or repeated multiple times):
- Technical skills, years of experience, specific domain knowledge
Nice-to-haves (preferred, a bonus, or mentioned once):
- List these separately. Candidates often disqualify themselves over requirements that are actually optional.
What the role actually solves (inferred from the description):
- Summarize in 2-3 sentences what business problem this hire addresses
Red flags to surface:
- "Wear many hats" with no clarity on scope — risk of undefined ownership
- 10+ must-have technologies for a single role — unrealistic bar or poor team planning
- No mention of team size, tech stack, or what the role ships — may indicate disorganization
CV / Resume Tailoring
When tailoring a CV to a specific job description:
- Match language exactly — use the same terminology as the JD, not synonyms. If the JD says "distributed systems", do not write "large-scale systems".
- Lead with impact — every bullet should have a result: "Reduced P99 latency by 40%" not "Worked on performance improvements".
- Quantify everything possible — users, QPS, team size, cost saved, revenue impact.
- Cut what does not match — a two-page CV tailored to the role beats a four-page generic one.
- Mirror the seniority signals — entry roles want "built", senior roles want "designed", staff and principal roles want "drove" or "defined".
Do not keyword-stuff. Write for the hiring manager reading it, not for an ATS parser.
Cover Letter Writing
A cover letter should answer three questions in under 300 words:
- Why this company? Something specific — a product, a technical challenge they have written about, a problem space you care about. Not "I admire your mission."
- Why you? One or two concrete things from your background that directly match what they need. Link to the specific role, not your full career history.
- Why now? What is your motivation at this point in your career? One sentence.
Format: three short paragraphs. No preamble ("I am writing to apply for..."). No summary of your CV.
Avoid:
- Restating your CV in prose form
- "I am passionate about..."
- Generic company praise ("a leader in the industry", "innovative company")
- Going longer than one page
Offer Evaluation
When evaluating a job offer, compare across these dimensions:
Compensation
- Base salary: check against market rate for role, level, and location (levels.fyi, Glassdoor, Blind, Comprehensive.io)
- Equity: current valuation, vesting schedule (4-year with 1-year cliff is standard), dilution risk for early-stage companies
- Bonus: target percentage vs actual historical payout
- Total comp = base + expected bonus + annualized equity value
Role clarity
- Scope: what does "owning" this role actually mean vs what is already decided?
- Team: size, structure, who you report to, tenure of the team
- Growth: what does the next level look like and how long do people typically take to get there?
Company health
- Stage: runway, revenue, growth rate — ask directly if not public
- Engineering culture signals: PR review process, incident postmortem culture, on-call burden
- Remote or hybrid reality: written policy vs actual practice
Red flags in an offer
- Pressure to decide in under 48 hours — a reasonable window is one to two weeks
- Equity with no clear liquidity path for a company that has been private for 10+ years
- A role described as greenfield that turns out to have 6 months of existing unmaintained code
Get everything in writing before accepting.
Follow-up Emails
After an interview, send a follow-up within 24 hours:
- One sentence thanking them for the time
- One sentence referencing something specific from the conversation (a problem discussed, a question they asked)
- One sentence reaffirming interest, if genuine
Do not write multiple paragraphs. Do not restate your qualifications. Do not follow up more than once if there is no reply.
FAQ
Will the AI write my entire resume?
No, the AI helps tailor your existing resume for a specific job, focusing on the most important points.
Can I ask the AI to evaluate any job offer?
Yes, the AI can help compare offer details like salary, benefits, and responsibilities to help you make an informed decision.
Can the AI give me general career advice?
No, this tool is focused on specific job search tasks, like analyzing listings or writing emails, not general career advice.
Details
Original description by the author
Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV/resume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. Do not activate for general career advice unrelated to an active job search action.
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5390
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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