Content
76%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable and well-structured as a capability matrix, but its batch/destructive recipes lack explicit validation checkpoints, capping workflow clarity.
Suggestions
Add explicit validation checkpoints inside batch/destructive recipes (e.g., verify developed output / color profile before library ingest; confirm rasterized export before batch publish).
Trim the meta-contextual intro ('Scenario S5. Deepest creation coverage after S2...') that does not drive execution.
Consider moving the large provider tables into a referenced matrix file to reduce inline weight, keeping only headline providers in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, table-driven provider matrices and concrete command blocks keep token use efficient, with only minor meta-prose (e.g., 'Deepest creation coverage after S2') that could be trimmed. | 4 / 5 |
Actionability | Copy-paste-ready commands (install, preflight --json, Python importlib probes), provider tables with Requires/Cost/Quality columns, and a fill-in suggest-to-user template give fully executable guidance. | 5 / 5 |
Workflow Clarity | Recipes list sequences ('RAW ingest → develop → edit → library → publish') and preflight acts as a precheck, but batch/destructive operations lack explicit validate-then-proceed checkpoints, capping workflow_clarity at 3. | 3 / 5 |
Progressive Disclosure | Clear section headers (Install, Preflight, Capabilities, Recipes, Known gaps, Agent guidance) with two well-signaled one-level references to docs/cli-matrix/* give good structure, though the large provider tables are fully inlined. | 4 / 5 |
Total | 16 / 20 Passed |