Content
42%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads more like a role description than an actionable skill guide. It tells Claude what a search specialist does rather than providing concrete techniques, tool usage patterns, or executable examples. The content is moderately organized but lacks the specificity needed to meaningfully improve Claude's search behavior beyond its baseline capabilities.
Suggestions
Add concrete, executable examples of search tool invocations with actual query syntax, showing how to use allowed_domains, blocked_domains, and WebFetch with specific parameters.
Replace the generic 'Focus Areas' list with specific techniques Claude wouldn't already know, such as exact query templates or domain-specific search patterns with examples.
Add a feedback loop to the workflow: what to do when initial searches return poor results, how to evaluate result quality with specific criteria, and when to pivot strategies.
Either provide the referenced 'resources/implementation-playbook.md' bundle file or inline the most critical examples directly in the skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains several unnecessary sections like 'Use this skill when' / 'Do not use this skill when' that are generic and add little value. The 'Focus Areas' section lists capabilities Claude already knows. However, the search strategies section provides some useful specifics without excessive padding. | 3 / 5 |
Actionability | The skill is almost entirely high-level guidance with no concrete code, commands, or executable examples. Phrases like 'Use specific phrases in quotes' and 'Target specific timeframes' are vague hints rather than actionable instructions. There are no actual search query examples, no tool invocation syntax, and no concrete demonstrations of the techniques described. | 2 / 5 |
Workflow Clarity | The 'Approach' section provides a numbered sequence (understand → query → search → verify → track), which gives a rough workflow. However, there are no validation checkpoints, no feedback loops for when searches return poor results, and no explicit criteria for when to stop refining. The verification step (step 4) is mentioned but not elaborated. | 3 / 5 |
Progressive Disclosure | There is a reference to 'resources/implementation-playbook.md' for detailed examples, which is good progressive disclosure. However, no bundle files exist to support this reference, the content that could be in separate files (like the full output format specification or detailed search strategy examples) is partially inlined, and the reference is somewhat buried in the instructions section. | 3 / 5 |
Total | 11 / 20 Passed |