Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise and well-structured with clear tool calls and sequenced phases, but some steps are under-specified and the workflows lack validation checkpoints for persistent writes. Tightening actionability and adding verification steps would raise the score.
Suggestions
Make ambiguous steps concrete: specify how to build mem_search queries from user keywords and what makes a valid stable topic_key.
Add a verification checkpoint after mem_save (e.g. confirm the memory was stored, or re-read via mem_context) since memory writes are persistent.
Expand the Session Close workflow so "Recover context" and "Continue work" name the specific calls and inputs rather than acting as labels.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean, well-organized set of rules with no explanation of concepts Claude already knows; every line earns its place. | 3 / 3 |
Actionability | Concrete tool calls (mem_save, mem_search, mem_context, mem_session_summary) and a What/Why/Where/Learned structure are present, but several steps are terse labels (e.g. "Recover context", "Continue work") leaving key details such as query construction and topic_key choice implicit. | 2 / 3 |
Workflow Clarity | Each phase has a clear numbered sequence, but there are no explicit validation or verification checkpoints for persistent memory writes, and the rubric caps workflow clarity at 2 when such feedback loops are missing. | 2 / 3 |
Progressive Disclosure | A short, single self-contained file with well-organized sections and no need for external references, which meets the bar for progressive disclosure in a small skill. | 3 / 3 |
Total | 10 / 12 Passed |