skill-foundry

Create production-ready Claude Code skills by applying an 8-phase methodology that generates SKILL.md files with concise frontmatter, explicit triggers, anti-pattern documentation, and progressive disclosure to ensure reliable activation.

Progressive disclosure in skill authoring is an architecture that keeps SKILL.md files concise by pushing detailed reference material into a separate references directory. This matters because it maintains activation accuracy while scaling complex domain expertise across teams and projects without overwhelming the context window.

Prevent anti-patterns when authoring SKILL.md files by using a philosophy-first framework that explicitly documents common mistakes and how to avoid them. This structured approach establishes mental models before procedures, guiding decision-making to prevent activation failures and ensure reliable skill execution.

Debug activation failures in existing Claude Code skills by running validation and analysis scripts provided by the framework. These scripts test activation accuracy, audit coverage, and identify structural issues in your SKILL.md files to pinpoint why triggers are not matching user intents properly.

Yes, you can convert manual workflows into reusable Claude Code skills by applying the skill authoring methodology to encode domain expertise into SKILL.md files. This process transforms workflows into validated skills with explicit triggers, anti-patterns, and optional validation scripts.

Validation scripts are optional but recommended for packaging and testing Claude Code skills. They allow you to initialize new skills, run quick quality validation checks, and analyze activation behavior to ensure your SKILL.md files meet the required standards for reliable execution.