Compute a match score between 0 and 100 for ranking results.

Parse a single worksheet into a list of company entries and detected categories.

Search for a company by name. Returns matching entries sorted by relevance.

Detect whether a column header refers to count or index data.

Format a single company entry for display.

Convert Danish/Nordic characters to anglicized equivalents.

Return (errors, warnings) for the salary data shape. errors -> hard problems that make lookups crash or emit wrong output (thes

Extract meaningful words from a company name, ignoring noise.

Normalize string for robust fuzzy matching.

Split a command spec into {heading: body} by '##' headers. Splitting this way lets a fork's extra sections (e.g. this fork's '## Blocker logg

Return True when a header contains a meaningful pattern match. Patterns match whole tokens; any pattern also listed in ``COMPOUND_PATTERNS``

Validate the salary data shape before lookups use it. Preserves historical behavior: exits(1) on the first hard error with the same user-faci

Exit with a user-facing salary data setup error.

Compute a match score between 0 and 100 using precalculated query values.

Load and JSON-parse salary_data.json; exit with a helpful message if missing/invalid.

Load, parse, and validate salary_data.json for lookups.

Print an actionable validation report. Returns the process exit code.

Remove count/index words from a header to derive a category name.

lint_skills.py rejects command files that don't start with '# /<name>'.