Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured with a clear multi-step workflow, executable script invocations, validation feedback loops, and properly signaled bundle references. Its main weakness is conceptual exposition in the intro sections that competes with the token budget without adding non-obvious value.
Suggestions
Trim the 'About Skills' and 'Anatomy of a Skill' explanatory prose to only non-obvious guidance, moving generic skill-structure explanation to a references file if needed.
Consider folding the repeated 'When to include' rationale for scripts/references/assets into terser bullet criteria to reduce inline verbosity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient procedural guidance but the 'About Skills' / 'Anatomy of a Skill' sections spend tokens explaining what skills are and how they are structured—concepts an AI consumer largely already knows—so it does not reach the 'every token earns its place' bar of 3. | 2 / 3 |
Actionability | It gives copy-paste-ready commands ('scripts/init_skill.py <skill-name> --path <output-directory>', 'scripts/package_skill.py <path/to/skill-folder>') and concrete worked examples (pdf-editor, frontend-webapp-builder, big-query) that map directly to bundle scripts, meeting the 'fully executable commands; specific examples' anchor. | 3 / 3 |
Workflow Clarity | The Skill Creation Process is a clearly sequenced Steps 1-6 with an explicit validation checkpoint and error-recovery feedback loop ('If validation fails... Fix any validation errors and run the packaging command again'), matching the 'clear sequence with explicit validation steps; feedback loops' anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that points one level deep to bundled scripts (init_skill.py, package_skill.py, quick_validate.py), all of which exist in scripts/ and are clearly signaled by path, with no nested reference chains. | 3 / 3 |
Total | 11 / 12 Passed |