Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill with excellent workflow clarity and concrete examples throughout. The main weakness is that it's a monolithic document that could benefit from splitting detailed reference material (type classification rules, view generation specs, template structures) into separate files. Some verbosity in explanations could be trimmed.
Suggestions
Extract type classification rules and topic categories into a separate reference file (e.g., `TYPES.md`) and link to it from the main skill
Move view generation specifications (Step 11) to a separate `VIEWS.md` file since they're detailed implementation specs
Consolidate the intent detection logic (Step 5 and auto-detection fallback) into a single, more concise section
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundancy (e.g., explaining intent detection twice with auto-detection fallback, verbose step descriptions). Some sections could be tightened without losing clarity. | 2 / 3 |
Actionability | Provides concrete, executable guidance throughout: specific file paths, JSON structures, exact command formats, wiki-link syntax examples, and clear bash commands for git sync. Copy-paste ready. | 3 / 3 |
Workflow Clarity | Excellent multi-step workflow with 12 clearly numbered steps, explicit validation points (Step 7b for connections, Step 9 for index updates), and error handling section. Includes feedback loops for failed fetches. | 3 / 3 |
Progressive Disclosure | All content is inline in a single file despite being 200+ lines. Templates, view generation logic, and type/topic classification rules could be split into referenced files. The skill mentions external files (templates, CLAUDE.md) but doesn't leverage them for content organization. | 2 / 3 |
Total | 10 / 12 Passed |