plugin-skill-create

To scaffold an AI agent skill that passes mandatory audits, generate spec-conformant frontmatter, eval test-case stubs, and memory-hook configurations simultaneously. This automated scaffolding ensures your new skill meets agentskills.io specification requirements and internal plugin conventions for schema validation.

Standardized skill scaffolding includes directory structures, SKILL.md files with schema-validated frontmatter, eval test-case stubs with judge-rubric templates, and memory-write point configurations. These components ensure new workflow, knowledge, or companion skills comply with agentskills.io specifications from creation.

Yes, automated scaffolding pre-wires eval test-case stubs and judge-rubric templates when generating new workflow skills. This integrated testing approach ensures skills are testable from day one and satisfy agentskills.io specification requirements within the plugin/skills/ directory.

Yes, the scaffolding process supports G7 spawn payloads and agent-spawn capabilities for new skills. It generates schema-validated frontmatter and memory-hook wiring that satisfy internal ai-skills plugin conventions for G7 spawn payload structures.

The best way to create spec-compliant frontmatter is through automated scaffolding that applies agentskills.io specification requirements and internal plugin conventions. This ensures schema validation passes without manual formatting errors when developing new workflow, knowledge, or companion skills.

Manual skill creation often fails mandatory audits due to missing or non-compliant frontmatter, absent eval test-case stubs, and incomplete memory-hook wiring. Automated scaffolding eliminates this friction by enforcing agentskills.io specification compliance and internal ai-skills plugin conventions uniformly.