MisterBrookT/skill2

Provides a structured approach for authoring, organizing, and maintaining agent skills—defining scope, writing minimal SKILL.md files, and managing resources. Use when creating or refactoring an agent skill library.

Export monthly invoices from the finance pipeline into CSV packages for accounting review.

Exports weekly or monthly business reports to CSV, PDF, or spreadsheet formats. Supports scheduled packaging, multi-sheet exports, filtered dataset dumps, and stakeholder-ready bundles.

Audits one skill or a skill library for structural, safety, linkage, size, and trigger-boundary issues. Provides evidence-backed findings without modifying files.

Automates packaging and publishing of AI skill repositories, including manifests, README generation, versioning, and release artifact creation.

Evaluates AI agent skills in isolation to measure activation accuracy, outcome quality, and false-activation avoidance. Use for regression testing and baseline uplift evidence.

Summarizes recent commits and open pull requests into a short standup update. Use it to report what was done, what is next, and any blockers.

Converts a named numeric dataset into a JSON file for a bar chart with the top three values in descending order. Useful for quick data analysis and reporting tasks.

Terminal tool for visualizing skill inventory, usage patterns, and test results, and surfacing delete or downgrade candidates for lifecycle management.