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Technical Job Search

GitHubOfficialFirst committed by lavkeshdwivediDistributed by GitHub

  • Skill
  • Content generator
  • Business and productivity
  • MIT
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From 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.
— the description by lavkeshdwivedi

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Technical Job Search provides a structured approach for software engineers navigating the job market. It offers actionable frameworks for analyzing job descriptions to identify red flags, tailoring resumes to match specific roles without keyword stuffing, writing concise cover letters, and evaluating compensation and role clarity in job offers. The skill also provides best practices for post-interview follow-up communication.

What it does

  • Extracts must-haves and nice-to-haves from job descriptions.
  • Identifies potential red flags in job postings and employment offers.
  • Provides guidelines for impact-focused, tailored resume writing.
  • Offers a framework for writing concise, high-impact cover letters.
  • Assists in evaluating total compensation and company health metrics.
  • Standardizes post-interview follow-up communication.

When to use it

  • When you need to parse a job description to determine if you are a good fit.
  • When you are preparing your CV for a specific technical role.
  • When you need to draft a cover letter that avoids generic filler.
  • When you have received a job offer and need to evaluate its components.
  • When you need to send a professional follow-up email after an interview.

Advantages

  • Focuses on technical-specific career needs.
  • Encourages high-impact, evidence-based communication.
  • Helps identify common pitfalls in job descriptions and offers.
  • Promotes concise, professional interaction with recruiters and hiring managers.

Usage examples

“Analyze this job description for a Senior Backend Engineer role and identify any red flags.”
The agent will break down the JD into must-haves, nice-to-haves, business problems the role solves, and highlight potential red flags like unrealistic tech stacks or vague scope.
“Tailor my resume for this specific job description.”
The agent will suggest edits to your resume to match the JD's terminology, emphasize impact-driven results, and remove irrelevant experience.
“Evaluate this job offer for a Staff Engineer position.”
The agent will guide you through comparing base salary, equity, role scope, and company health, while flagging high-pressure tactics or poor offer terms.
“Write a follow-up email for an interview I had today.”
The agent will draft a short, three-sentence email thanking the interviewer, referencing a specific technical discussion, and reaffirming your interest.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/github/technical-job-search/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip technical-job-search.zip -d .agents/skills

Documentation by lavkeshdwivedi

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:

  1. Match language exactly — use the same terminology as the JD, not synonyms. If the JD says "distributed systems", do not write "large-scale systems".

  2. Lead with impact — every bullet should have a result: "Reduced P99 latency by 40%" not "Worked on performance improvements".

  3. Quantify everything possible — users, QPS, team size, cost saved, revenue impact.

  4. Cut what does not match — a two-page CV tailored to the role beats a four-page generic one.

  5. 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:

  1. 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."

  2. 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.

  3. 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.

Files

Requirements and compatibility

Written for: GitHub Copilot, Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

Security

No issues found by our static scan· No issues found

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Attribution and licence

First committed by
GitHub avatar of lavkeshdwivedilavkeshdwivedi
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/technical-job-search · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
lavkeshdwivedi

AutoGineer is not affiliated with or endorsed by lavkeshdwivedi or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download technical-job-search.zip