Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an exceptionally well-crafted skill file. It provides a concise mental model, actionable commands, clear agent-specific rules with safety constraints, and excellent progressive disclosure to reference files. The content is perfectly calibrated for an AI agent — it emphasizes non-interactive operation, verification after mutations, and recovery workflows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It assumes Claude's competence, avoids explaining basic concepts, and every section earns its place. The mental model section conveys critical jj-specific concepts concisely with bold key phrases and minimal prose. | 3 / 3 |
Actionability | Provides fully executable commands and code throughout — the core workflow, pushing changes, recovery, and essential commands table are all copy-paste ready. The agent configuration is a complete TOML block with launch instructions. No pseudocode or vague directions. | 3 / 3 |
Workflow Clarity | The core workflow is clearly sequenced (describe → code → new → repeat) with explicit verification steps ('jj st && jj diff' after changes, 'Verify after mutations' in agent rules). The non-linear work section provides a clear branching workflow. Recovery steps are explicit with feedback loops (undo, op log, op restore). | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure with a clear topics table at the top, inline '→ Deep dive' links throughout the body, and a comprehensive reference index at the bottom. All references are one level deep and clearly signaled. The main file stays concise while pointing to 13+ reference files for detailed content. | 3 / 3 |
Total | 12 / 12 Passed |