Content
39%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill defines a comprehensive and well-structured interactive analysis workflow with excellent phase sequencing, validation gates, and quality mechanisms. However, it is severely over-engineered for a single SKILL.md file — the extreme verbosity (~500+ lines) with inline JSON schemas, full markdown templates, and exhaustive reference tables wastes significant context window budget. The content would benefit enormously from splitting reference material into bundle files and condensing the core instructions to essential decision points and rules.
Suggestions
Split reference material (JSON schemas, markdown templates, dimension/perspective tables, record formats) into separate bundle files (e.g., `templates/discussion.md`, `schemas/state.json`, `reference/dimensions.md`) and reference them from the main SKILL.md
Condense the phase descriptions to essential rules, gates, and decision points — remove procedural narration that Claude can infer (e.g., 'Parse topic, flags, generate session ID' doesn't need a dedicated numbered step)
Remove redundant explanations — the confidence scoring factors table, consolidation rules, and recording protocol principles repeat information that's already implicit in the templates and examples
Replace the verbose inline JSON schema examples with brief descriptions and pointers to schema files in a bundle, keeping only a minimal example in the main skill body
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | This skill is extremely verbose at ~500+ lines. It exhaustively specifies JSON schemas, markdown templates, table formats, and procedural details that Claude could infer from high-level instructions. Many sections (e.g., full state.json schema, detailed confidence scoring weights, complete discussion.md template) could be dramatically condensed. The skill explains concepts like session slugification, UTC+8 timestamps, and file organization at a level of detail that wastes significant context window budget. | 1 / 3 |
Actionability | The skill provides concrete JSON schemas, markdown templates, and specific commands (e.g., `ccw spec load`, `git rev-parse`), which is good. However, it lacks executable code examples — the guidance is procedural description rather than copy-paste-ready implementations. Many steps describe what to do conceptually (e.g., 'Score each dimension on 5 weighted factors') without showing how to actually compute or implement this in practice. | 2 / 3 |
Workflow Clarity | The multi-phase workflow is exceptionally well-sequenced with clear phase transitions, explicit exit criteria for each phase, mandatory gates (readiness gate, intent coverage verification, findings traceability), feedback loops (stall detection → intervention, pressure pass → validate/correct), and error recovery paths. The validation checkpoints are thorough and well-placed throughout the process. | 3 / 3 |
Progressive Disclosure | Despite the skill's enormous length, everything is crammed into a single monolithic file with no references to supporting bundle files. The detailed JSON schemas, markdown templates, reference tables (dimensions, perspectives, direction mappings), and recording protocols could easily be split into separate reference files. The internal anchor links (e.g., '#analysis-dimensions', '#round-template') provide some navigation but don't compensate for the wall-of-text problem. | 1 / 3 |
Total | 7 / 12 Passed |