Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with concrete templates and a clearly sequenced, verification-rich workflow. Its main weaknesses are token verbosity from decorative scaffolding and a monolithic structure that does not offload detail into bundled reference files.
Suggestions
Trim the ASCII flow diagram and the repeated What/When/How/Example scaffolding to reduce token load, assuming Claude's competence with the meta-prompting concepts.
Move the model-specific adjustment details and the full worked example into reference files under references/ and link to them one level deep, keeping SKILL.md an overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly instructional rather than padded with basic concepts Claude knows, but the large ASCII flow diagram and repeated What/When-to-use/How-to-apply/Example scaffolding across five techniques add length that could be tightened. | 2 / 3 |
Actionability | It provides copy-paste-ready templates, an exact mandated output format ("You MUST return the generated prompt in this exact format"), a concrete expert-archetype table, and a fully worked API-documentation example — actionable guidance for an instruction-only skill. | 3 / 3 |
Workflow Clarity | The six phases are clearly sequenced with explicit verification checkpoints, feedback loops (Technique 3 Iterative Verification, verification checklists), and error-handling branches, matching the strong-workflow anchor. | 3 / 3 |
Progressive Disclosure | Sections are well organized, but the ~500-line body is largely a monolithic wall of text and the referenced paths (skills/blocks/*, docs/GPT-5.6-PROMPTING.md) are not present in the bundle, so content that could be split into reference files remains inline. | 2 / 3 |
Total | 10 / 12 Passed |