Public-safe template. Do not put private career strategy, real employer details, applications, raw notes, or achievement packets in this repo.
Help users turn private work evidence into public-safe career artifacts through reusable methodology, schemas, examples, and skills.
Public-safe:
- methodology
- templates
- schemas
- dummy examples
- reusable skills
- deterministic validators and formatting scripts
Private:
- real achievement packets
- raw notes
- employer details
- target job strategy
- applications
- compensation or review strategy
This is a public methodology and skills repo. Keep examples fictional or sanitized, and keep real user evidence in a private repository.
When drafting LinkedIn or profile content into files, use the relevant writing skill first, then use linkedin-content-validation.
Run:
python3 scripts/format_linkedin_text.py --write content
python3 scripts/format_linkedin_text.py --check content
python3 scripts/validate_linkedin_assets.py contentDo not remove blank lines just to satisfy a LinkedIn character limit when the configured count mode ignores newlines. Compress actual words instead.
For PDF resume rendering, do not reimplement RenderCV. Use rendercv-resume-handoff to prepare Career Positioning OS content, then use the external rendercv skill from rendercv/rendercv-skill.
Install it when needed:
npx skills add rendercv/rendercv-skill --skill rendercv -a codex -g -yUse docs/reference_material.md when the user wants to apply external career or persuasion material to a resume, LinkedIn profile, article, or positioning artifact.
Treat external resources as calibration and principles only. Do not copy source phrasing. Apply the ideas to the user's own achievement evidence.
Use github-repo-product-naming, github-repo-launch-page, and github-profile-authority-page when the user is shaping ProofStack or the GitHub surface itself.