Content
71%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.
A well-structured, highly actionable meta-skill whose SKILL.md correctly serves as an overview pointing to a verified, one-level-deep reference bundle. The main drag on token efficiency is cross-section restatement of the same paths and a long platform-directory enumeration.
Suggestions
De-duplicate paths/facts that recur across the intro, Current Rules, and Do Not (e.g., the channel events.jsonl path and bundled-agent behavior) by stating each once and cross-referencing.
Promote the existing validation cues ('check .trellis/.template-hashes.json', 'cross-check trellis --help') into explicit numbered checkpoints in the 'How To Use' workflow so post-edit verification is part of the sequence rather than only in 'Do Not'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and avoids explaining concepts Claude already knows, but the same paths and facts (channel event log, bundled agents) recur across the intro, Current Rules, and Do Not, and the platform-directory enumeration is long enough that it could be tightened. | 3 / 5 |
Actionability | It supplies concrete, copy-paste-ready CLI commands ('trellis channel spawn --agent <name>', 'task.py create --parent <slug>', 'trellis workflow --template <id>') and specific config keys throughout, with only minor gaps since full code blocks are absent (acceptable for an instruction skill). | 4 / 5 |
Workflow Clarity | The 'How To Use' section gives a clear 5-step sequence and validation cues exist ('treat local content as authoritative', cross-check 'trellis --help', check '.trellis/.template-hashes.json'), but the validation is distributed across 'Do Not' rather than appearing as explicit post-edit checkpoints in the workflow. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clean overview with a References section listing 23 real, one-level-deep files organized into three labeled groups, each with a one-line description, giving easy navigation. | 5 / 5 |
Total | 16 / 20 Passed |