Run a 4-persona panel targeted at a specific job description. Uses ats-parser, recruiter-triage, hiring-manager, and career-coach to evaluate will_cygan_resume.typ through the lens of the JD in $ARGUMENTS. Produces JD essentials extraction, keyword/stack gap analysis, and a prioritized tailoring action plan. Use when the user has a specific job posting and wants a rigorous multi-angle tailoring review — heavier than the single-voice tailor workflow in the resume-optimizer skill.
Run a 4-persona panel targeted at a specific job description. Uses ats-parser, recruiter-triage, hiring-manager, and career-coach to evaluate will_cygan_resume.typ through the lens of the JD in $ARGUMENTS. Produces JD essentials extraction, keyword/stack gap analysis, and a prioritized tailoring action plan. Use when the user has a specific job posting and wants a rigorous multi-angle tailoring review — heavier than the single-voice tailor workflow in the resume-optimizer skill.
argument-hint
<job-description>
allowed-tools
Read, Grep, Glob, Agent, AskUserQuestion
Tailoring Panel
Evaluate the resume against a specific job description using a 4-persona panel. Each persona reads the resume through a different tailoring lens, and their outputs merge into a single prioritized action plan.
Process
Validate input. If $ARGUMENTS is empty or clearly not a full JD (single word, bare URL with no extracted text), stop and use AskUserQuestion to request the full JD text. Do not proceed with guesses.
Extract JD essentials yourself first. Before fanning out, pull out the fields in REFERENCE.md § JD Essentials Extraction. Include this extraction in the context you pass to every persona so all 4 are working from the same interpretation of the posting.
Fan out the 4 personas in parallel. Single Agent tool message, 4 calls. Each persona gets: (a) the resume path, (b) the JD essentials extraction, (c) the full JD text, (d) the persona-specific framing prompt from REFERENCE.md § Per-Persona Framing.
Consolidate. Merge the outputs into the tailoring plan defined in REFERENCE.md § Output Format. Deduplicate findings that multiple personas raised; weight repeated concerns higher in the action plan.
Notes
There is already a simpler tailor workflow inside the resume-optimizer skill that runs a single-voice tailoring pass. Use this skill when the user wants a more rigorous multi-voice read or when the stakes warrant 4 perspectives instead of 1.
The 4 personas selected (ATS parser, recruiter, hiring manager, career coach) specifically cover the keyword pass, the sourcing scan, the team-fit read, and the positioning alignment. Do not add bar-raiser or technical-screener here — those are out of scope for tailoring.
See REFERENCE.md for the JD extraction protocol, per-persona prompts, and output template.
