Content
50%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a dense, well-organized single-file reference with strong code coverage, but it is monolithic, has incomplete snippets, and lacks validation feedback loops in its workflow. Splitting detailed material into reference files would substantially improve it.
Suggestions
Extract the RAG pipeline, production deployment, and testing sections into separate reference files (e.g. references/rag.md, references/deployment.md) and link to them from SKILL.md.
Make code snippets executable by including the necessary imports and replacing placeholder functions (external_call, node1_func, stream_response) with concrete implementations.
Add explicit validation checkpoints to the build workflow (e.g. 'run eval suite and only proceed when scores pass') to support feedback loops for production changes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean code and terse bullets without over-explaining basics, but ~245 inline lines with some redundancy (error handling appears in multiple sections) could be tightened. | 2 / 3 |
Actionability | It provides many concrete code blocks, but several are incomplete — missing imports (TypedDict, Annotated, HumanMessage) and placeholder calls (external_call, stream_response, node1_func) — so it falls short of fully copy-paste ready. | 2 / 3 |
Workflow Clarity | A checklist and sequenced patterns are present, but the build/deploy workflow has no explicit validation checkpoints or validate→fix→retry feedback loops for risky production operations, capping it at 2. | 2 / 3 |
Progressive Disclosure | Content is well-sectioned but entirely monolithic — all RAG, deployment, and reference material is inline with no bundle files (references/scripts/assets are absent) and no one-level-deep pointers to split it out. | 2 / 3 |
Total | 8 / 12 Passed |