Scaffold and validate skill.yaml specifications for agentic ecosystems (workflows, security, observability, failure handling) via scripts/scaffold_spec.py and scripts/validate_spec.py. Use when the user asks for a skill spec, a skill.yaml, or a validated spec-first contract before scaffolding a skill. [EXPLICIT]
58
70%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./plugins/claude-native-toolkit/skills/skill-spec/SKILL.mdScope: This creates YAML skill specifications for agentic frameworks (custom agent ecosystems). For Claude Code SKILL.md files, use
/skill-creator-moat.
Generic, brand-neutral engineering capability; sourced playbooks in
references//knowledge/. [DOC]
Generate complete skill.yaml definitions — capability modules for agents in multi-agent ecosystems. Each spec defines inputs/outputs, security, observability, interoperability contracts, and minimum 4 workflows with full step decomposition [EXPLICIT]
Deep, evidence-tagged playbooks — open the one the task needs (ICM Layer 3, on-demand). [INFERENCE]
| Reference |
|---|
references/full-playbook.md |
references/full-skill-yaml-shape.md |
references/ playbook. [EXPLICIT]agent.md constitution exists (reads it for grounding) - *. [SUPUESTO]Capas del packet, cargables bajo demanda (disciplina ICM: una capa por vez, nunca todas juntas): references/ guías de profundidad (cargar UNA por etapa) · knowledge/ cuerpo de conocimiento · prompts/ prompts listos · examples/ salida de ejemplo · agents/ subagentes del packet · templates/ plantilla de output · scripts/ automatización local · assets/ recursos estáticos.
e8f986b
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.