Generate reproducible SPEC.md documents from interview data using a canonical template.
npx skills add https://github.com/iago-leal/skills --skill skill-spec-iago-leal
Please help me install this Agent Skill. Skill: skill-spec Source: https://github.com/iago-leal/skills/tree/main/skill-spec Command: npx skills add https://github.com/iago-leal/skills --skill skill-spec-iago-leal
This set of tooling standardizes how skills are specified, enabling reproducible, audit-friendly skill definitions.
Start by collecting interview data and run the skill-spec workflow to produce a deterministic SPEC.md.
High-intent search queries and answers about installing and using this skill.
To generate a reproducible SPEC.md, collect interview data and run the skill-spec workflow to produce a deterministic document using a canonical template and scoring rubric. This ensures explicit frontmatter, section structure, and machine-checkable outputs.
Deterministic skill specification standardizes how skills are defined to ensure reproducible, audit-friendly outputs. You need it when creating, extracting, or upgrading skill specifications to guarantee completeness and consistency across the MDCU framework.
Yes, skill-spec supports extraction, evaluation, and upgrade workflows for skill specifications. It applies a canonical scorer to validate completeness, determinism, dependency pinning, and section structure for existing definitions.
No external dependencies are required. skill-spec relies on internal scripts and reference templates to apply its deterministic scoring rubric, checking frontmatter, script references, and machine-checkable outputs without external package prerequisites.
The best way to standardize skill documentation is applying a canonical SPEC.md template with a deterministic scoring rubric. This enforces explicit frontmatter, dependency pinning, and structured sections to ensure fully reproducible, machine-checkable skill definitions.
Skill specifications fail the deterministic scorer when they lack explicit frontmatter, proper section structure, script references, or dependency pinning. The scorer enforces canonical template compliance to ensure machine-checkable, reproducible outputs.
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