Validates DCF model Excel files for formula integrity, cross-statement ties, and sensitivity table correctness. Uses openpyxl to inspect cell formulas and checks that key constraints (e.g., center cell equals base case, WACC range) are met. Extracted and reused in any DCF model generation pipeline.

Parses PowerPoint files using python-pptx to extract all numbers, dates, and financial figures, then cross-references them against expected values from a model. Useful for any automated pitch deck audit or consistency check across presentations.

Generates a new skill directory with standardized YAML frontmatter, SKILL.md, references folder, and placeholder scripts. Provides a consistent starting point for skill development. Could be extracted for any agent skill authoring workflow.

Bundles a skill directory into a deployable .skill archive with all references, scripts, and assets. Handles file exclusion, manifest generation, and checksum verification. Reusable in any plugin or skill distribution pipeline.

Validates skill frontmatter, checks that referenced files exist, verifies YAML structure, and runs basic lints on SKILL.md content. Independent of this repo's skill schema – could be adapted for any YAML-based content validation.

Comprehensive linter that validates the entire repository structure: checks that all skill references resolve, that agent manifests reference existing skills, that bundled skills match vertical sources, that PowerShell scripts are ASCII-clean, and that version bumps are consistent. Could be extracted for any multi-module configuration repository that needs cross-reference integrity checks.