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company-talent-economics

@kelvinfkr⭐ 242 stars

Reconstruct a company's compensation distribution, high-compensation population, promotion/hiring paths, and role-specific pay bands from public filings and other public data, and deliver a typeset PDF report. Works for companies in any country and writes the report in the language of the company name the user typed (Chinese, Japanese, Korean, German, Spanish, Arabic and more). Use when asked how much people at a company earn, how many employees exceed a total-compensation threshold, which roles are economically critical, how promotion works, or what a role at a given level should be paid. Starts from segment profit pools and the payroll envelope, then rebuilds the level pyramid, equity awards, and career graph. Public data only; never infers a private individual's pay.

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// RATINGS

⭐GitHub Stars
⭐⭐⭐ 242 on GitHubGitHub ↗

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// README

company-talent-economics

Agent skill that reconstructs a company's compensation distribution, high-pay population, critical roles, pay bands and career graph from public data, and typesets a PDF report (JSON → DOCX → PDF).

Works for companies in any country and writes the report in the language of the company name you type. Runs in Claude Code, Codex and claude.ai from this same folder.

Full documentation — installation, usage, language and country coverage — is in the repository root: README.md (English) and README.zh-CN.md (中文).

  • SKILL.md is the agent-facing instruction set.
  • references/localization.md explains language and jurisdiction resolution, and how to add either.
  • examples/xiaomi/ is a complete worked run (Xiaomi FY2025) showing the expected depth.

Quick smoke test from this folder:

pip install -r requirements.txt
python scripts/check_locales.py                                    # locale packs + jurisdiction registry
python scripts/selftest.py                                         # all ten gates, every locale
python scripts/render_report.py examples/demo_report.json -o /tmp/demo.pdf

Harness, by hand:

python scripts/init_run.py "小米集团" --out ./talent-economics/xiaomi --year 2025
python scripts/check_phase.py ./talent-economics/xiaomi --next   # follow the printed steps
python scripts/check_phase.py ./talent-economics/xiaomi          # gate check, repeat through phase 10

// HOW IT'S BUILT

KEY FILES

skills/company-talent-economics/SKILL.mdREADME.md

// REPO STATS

242 stars