Part of Run AI-Powered Job Search End to End
Career Blueprint
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Fills application forms with AI-generated answers, tracks application status, and generates company-specific interview preparation reports with mapped STAR stories.
What problem does this solve?
Automates form-filling with context-aware answers drawn from your CV and profile, tracks every application with canonical statuses, and builds company-specific interview prep notes that map your story bank to likely questions. Eliminates repetitive manual form entry and fragmented interview prep scattered across tabs and documents.
How does it work?
Run /career-ops apply to fill forms (draft answers shown first for review before submission), /career-ops tracker to view application status filtered by company/role/score, and /career-ops interview-prep to generate company-specific interview intel (recent news, likely questions, mapped STAR stories, red-flag answers). Form answers are generated from cv.md, profile.yml, and modes/_profile.md (user's customizations); story bank (interview-prep/story-bank.md) accumulates across all evaluations and is reused. Output: completed application forms (user reviews before submit), updated tracker with status (Evaluated to Applied to Responded to Interview to Offer to Rejected/Discarded), and interview prep reports saved to interview-prep/.
Included Skills
No skills in this group
What's required to run this?
Application answers drawn from source files (cv.md, profile.yml, modes/_profile.md). Never auto-submitted. User reviews form draft first. Status normalization uses templates/states.yml as canonical reference. Interview prep uses WebSearch for company news and recent signals (tokens consumed). Story bank stored in interview-prep/story-bank.md and auto-appended during evaluation; deduplication checks prevent duplicate stories.
Key Features
Smart Form Filling
Generates context-aware answers to common application questions using cv.md + profile.yml + company research; shows drafts for review before submitting
Application Tracker
Markdown table with company, role, score, status (canonical: Evaluated, Applied, Responded, Interview, Offer, Rejected, Discarded, SKIP), PDF link, and notes
Canonical Status System
Enforces standard statuses from templates/states.yml to keep pipeline consistent; merge script normalizes on tracker updates
Interview Prep Reports
Company-specific reports with recent news (WebSearch), likely questions inferred from JD + company context, mapped STAR stories, red-flag Q&A
Story Bank Accumulation
Every evaluation auto-appends new STAR+Reflection stories to interview-prep/story-bank.md; 5-10 master stories become reusable across any interview
About This Blueprint
- Industry
- Technology
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