aegis-skill-creator

Automating skill scaffolding uses the SkillForge methodology to generate SKILL.md skeletons with required frontmatter, HARD-CONSTRAINT blocks, and standard sections. It then applies iterative validation to achieve a 16/17+ compliance score.

The SkillForge triage process evaluates incoming requests to classify them as USE_EXISTING, IMPROVE, CREATE_NEW, or COMPOSE. This routing prevents duplicating effort by identifying whether to enhance an existing skill or scaffold a new one.

Building SKILL.md files that pass automated validation requires including mandatory frontmatter, HARD-CONSTRAINT blocks, 3+ references, Anti-Patterns, and Extension Points. The validate-skill.py script iterates up to 5 passes to enforce these structural requirements.

Yes, the skill creation process supports multi-file references when needed. It ensures proper attribution and reference loading are present within the generated SKILL.md structure to meet industrial-grade compliance.

The 11-lens analysis is applied during skill creation to craft comprehensive SKILLs with explicit extension paths and references. It ensures the generated skill covers multiple analytical perspectives before final validation.

SKILL.md validation often fails initially due to missing standard sections like Mission, Triggers, Process, Verification, Anti-Patterns, or Extension Points. The automated validation iterates up to 5 passes to resolve these structural deficits.