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Skillsgenerate-application

generate-application

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Updated 10-15 23:47

About this skill

generate-application

Generate a complete, targeted application package for a job posting. The output lives at applications/YYYY-MM-DD-[company]-[role-slug]/ in the project root and includes a deep analysis, a targeted CV data file, and a two-paragraph cover letter.

Step 1 — Fetch and Parse the Job Posting

Fetch the job posting using Jina Reader for clean markdown output:

curl -s -H "Authorization: Bearer $JINA_API_KEY" "https://r.jina.ai/[job-url]"

If JINA_API_KEY is not set, fall back to WebFetch with the raw URL.

Extract from the posting:

  • Company name and role title
  • Required and preferred skills/technologies
  • Seniority signals (years experience, leadership expectations)
  • Work arrangement (remote, hybrid, location)
  • Mission/culture signals

Step 2 — Read Kristian's Profile

Read the full candidate profile before scoring:

$CLAUDE_PLUGIN_ROOT/skills/generate-application/references/kristian-profile.md

Also read the scoring matrix and tone/voice reference:

$CLAUDE_PLUGIN_ROOT/skills/generate-application/references/scoring-matrix.md
$CLAUDE_PLUGIN_ROOT/skills/generate-application/references/tone-and-voice.md

Step 3 — Score and Analyze

Apply the multi-dimensional scoring matrix (see references/scoring-matrix.md).

Produce for analysis.md:

  • Overall score (%)
  • Dimension-by-dimension breakdown with reasoning
  • Positioning frame (Lead/Principal Engineer, Engineering Manager, Head of, Staff Engineer)
  • Requirement → proof point mapping table (every listed requirement matched or flagged as a gap)
  • Honest gap assessment
  • Recommendation: GO / STRETCH / PASS

If score < 60% (PASS), tell the user and stop — do not generate a cover letter or CV data for a role with poor fit.

Step 4 — Determine Output Slug

Derive folder name:

  • company: lowercase, no spaces, no punctuation (e.g. iris, deepmind)
  • role-slug: kebab-case from role title (e.g. tech-lead, staff-engineer)
  • date: today's date as YYYY-MM-DD
  • Full path: applications/[date]-[company]-[role-slug]/

The applications/ directory lives in the project root. Create it (and the slug subfolder) if it doesn't exist.

Step 5 — Save job-posting.md

Write the raw parsed job description to applications/[slug]/job-posting.md.

Step 6 — Save analysis.md

Write the full analysis (Step 3 output) to applications/[slug]/analysis.md.

Step 7 — Generate cv-data.js

Generate a targeted CV data file for this role. This is a CommonJS module that exports an object matching the schema in src/_data/cvIris.js (the canonical example of a targeted CV variant — use this as the schema reference, not src/_data/cv.js).

Apply tone and voice guidance from references/tone-and-voice.md when writing the profile statement and employment bullets.

Reframe employment bullets, profile statement, and skill rankings to match:

  • The role's tech stack (prioritise skills they listed first)
  • The positioning frame chosen in Step 3
  • Concrete proof points with metrics from references/kristian-profile.md
  • Honest language — do not invent technologies or claim expertise not in the profile

Save to applications/[slug]/cv-data.js.

Also print instructions for the user to integrate it:

  1. Copy cv-data.js → src/_data/cv[Company].js (camelCase, e.g. cvDeepMind.js, cvCrossref.js)
  2. Rebuild: bun run build

Step 8 — Generate Cover Letter via Agent

Dispatch the cover-letter-writer agent with:

  • The job posting content
  • The analysis (positioning frame, top 3 proof points, gaps)
  • The company name and role title

The agent returns a greeting line, a two-paragraph cover letter body in a warm, helpful, audience-first tone, and a concise close line (for example, "Sincerely,"). It avoids em dashes in output and does not force a first-90-days commitment. Save to applications/[slug]/cover-letter.md.

Invoke using the Agent tool with subagent_type matching the cover-letter-writer agent. Pass all context in the prompt.

Step 9 — Write README.md

Write applications/[slug]/README.md using the template in references/output-structure.md. Status should be Draft by default.

Step 10 — Present Summary

Tell the user:

  • Score and recommendation
  • Folder path where files were saved
  • Which files were generated
  • How to integrate cv-data.js into the site
  • One-line suggested email subject line for the application

Reference Files

  • references/kristian-profile.md — Full candidate profile with proof points and tech stack
  • references/scoring-matrix.md — Scoring dimensions, thresholds, and proof point language
  • references/output-structure.md — Folder layout, file formats, and integration steps
  • references/tone-and-voice.md — Voice rules for cover letter, CV profile, and employment bullets

Notes

  • Always read the full posting before scoring — do not assume from job title alone
  • Be honest about gaps — authenticity over overselling
  • The cover letter body must be exactly 2 paragraphs. The agent enforces this.
  • If the job URL redirects or is behind a wall, ask the user to paste the posting text directly