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 a concise, well-structured awareness skill that gives concrete command suggestions and avoids concept padding. Its main weakness is workflow clarity: it functions as a detection map rather than a sequenced process with checkpoints, and the heuristics are not fully tied to executable next steps.
Suggestions
Add a short ordered workflow that sequences detection -> diagnosis -> suggested command, so the response path is explicit rather than implied by the table.
Map each staleness heuristic (>3 days, commits since modification, topic relevance) to the specific /save or /sync command that resolves it, closing the actionability gap.
Consider consolidating the four Detection Logic code blocks into the Quick Reference table to reduce repetition and tighten the structure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient, using terse code-block examples and a compact quick-reference table with no concept explanations Claude would already know; every token earns its place. | 5 / 5 |
Actionability | Concrete commands are given throughout (/save, /sync --git, /sync --status, /save --archive) with example detection conditions, but the staleness heuristics stop short of mapping each heuristic to a specific executable command, leaving a minor gap. | 4 / 5 |
Workflow Clarity | The skill presents detection situations and a quick-reference table rather than a sequenced multi-step process, and there are no validation checkpoints; the sequence of how to evaluate and respond is implicit rather than enumerated. | 3 / 5 |
Progressive Disclosure | Content is well-organized into clearly labeled sections (Purpose, Detection Logic, Quick Reference, Staleness Heuristics, Notes) with no nested references, but the detection-logic section inlines several code blocks that could be consolidated, leaving minor organization gaps. | 4 / 5 |
Total | 16 / 20 Passed |