Content
72%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 well-structured, mostly executable research workflow with clean organization and minimal padding. Its main weakness is workflow clarity: a batch research process that recommends solutions needs an explicit validate-then-retry loop when evidence is insufficient.
Suggestions
Add an explicit feedback loop for the evidence gate: if fewer than 2-3 datapoints are found, loop back to widen the search or request more sources rather than only asking the user for guidance.
Tighten the padded intros (e.g., "Always start with web search to find:" / "Look for:") into direct imperative lists to remove a few tokens of filler.
Make the abstract guidance concrete — e.g., specify which README/architecture signals to check when examining a cloned repo instead of generic "Look for" bullets.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean bullet lists and short prose that assume Claude's competence, with only minor padding ("Always start with web search to find:", "Look for:") and slightly verbose example prompts that could be trimmed. | 4 / 5 |
Actionability | Provides concrete executable commands (git clone, cat, mkdir -p) and a full output-format template, but some guidance stays abstract ("Look for: README documentation", "Ask the user to paste the relevant content"). | 4 / 5 |
Workflow Clarity | A clear five-step sequence is present, but the batch research workflow lacks an explicit validation/feedback loop: the "2-3 datapoints" requirement is a gate yet there is no retry-revalidate step when evidence is insufficient. | 3 / 5 |
Progressive Disclosure | A simple single-purpose skill with no external bundle files, organized into clean, well-labeled sections; per the simple-skill note this warrants a 5. | 5 / 5 |
Total | 16 / 20 Passed |