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Score a tailored CV against a previously saved job analysis artifact. Use when the user wants a grounded 0-100 match score without re-running job extraction.
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Based on SOC occupation classification
Tailor the master resume for a specific job posting, persisting the job analysis locally before updating the CV. Use when the user provides a job URL or pasted job description and wants a tailored CV generated.
Tailor a master CV using a previously saved job analysis artifact. Use when the user wants to update a CV from a stored JD analysis instead of re-running job extraction.
Onboard a new master CV from a PDF or YAML file. Use when the user wants to set up or replace the master resume. Accepts a file path as the argument.
Use when the user wants a concise, first-person cover letter tailored to a specific role from a job URL or pasted job description and a real resume YAML, especially when length, tone, greeting, or sign-off constraints matter.
Use when the user wants a concise, first-person answer to an application or screening question, grounded in a real resume YAML and a specific role or job description, including cases where the resume or job context is already in the current conversation, especially when the answer should stay to one paragraph and use simple, natural language.
Re-render a CV YAML to PDF using RenderCV. Use when the user wants to re-render a template or tailored CV without re-running the full tailor workflow. Accepts an optional file path argument; defaults to prompting the user to choose from available YAMLs.
| name | score-cv |
| description | Score a tailored CV against a previously saved job analysis artifact. Use when the user wants a grounded 0-100 match score without re-running job extraction. |
| disable-model-invocation | true |
Score a tailored CV against a saved job analysis artifact.
/score-cv --analysis <path-or-id> --cv <tailored-yaml-path>
Examples:
/score-cv --analysis a7c19f2d --cv templates/david_alecrim_tempo_rust_engineer_cv.yaml/score-cv --analysis output/job_analyses/a7c19f2d__tempo__rust_engineer.json --cv templates/david_alecrim_tempo_rust_engineer_cv.yamlFollow these steps exactly in order:
--analysis <path-or-id> is required.
Resolve it from the locally saved analysis artifacts under output/job_analyses/.
If resolution fails, report the error and stop.
--cv <tailored-yaml-path> is required.
If the file does not exist, report the error and stop.
Read the tailored YAML and extract the relevant resume evidence directly in the workflow context.
If evidence extraction fails, report the error clearly and stop.
Spawn the score-cv-match agent. Pass it a JSON object with:
job_analysiscv_evidencescoring_rubricUse this exact rubric:
{
"required_skills": 40,
"responsibilities": 25,
"ats_keywords": 15,
"positioning": 10,
"preferred_skills": 10
}
The scoring agent must return grounded JSON only.
Return:
analyze-job-posting when --analysis is provided.