Content
81%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, actionable skill body with a clear multi-step workflow and explicit validation/feedback loops. It is concise and self-contained; the main gap is a couple of vague prerequisite checks and the option to split long-form principle detail into a reference file.
Suggestions
Replace the vague Step 1.3 'Check for k3d cluster or Docker prerequisites' with a concrete command (e.g., `k3d cluster list` or `docker info`) so the check is executable.
Consider moving the detailed 'Principles' bullet lists into a references/ file, keeping SKILL.md as a lean overview with a one-line pointer, to improve progressive disclosure for a 100+ line skill.
Tighten Step 3 by folding the 'Track resources: pending -> in_progress -> ok' status legend into the jq command's context rather than as a standalone line.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and imperative with no padding explaining what Tilt or tmux is, though a few lines (e.g., 'Track resources: pending -> in_progress -> ok') could be trimmed into the surrounding polling step. | 4 / 5 |
Actionability | Mostly executable: copy-paste tmux/tilt-up bash blocks and a concrete jq polling command, with only minor gaps like 'Check for k3d cluster or Docker prerequisites' lacking a specific command. | 4 / 5 |
Workflow Clarity | Five-step workflow (Assess → Start → Monitor → Diagnose → Report) is clearly sequenced with explicit validation (convergence polling in Step 3) and a feedback loop (3-iteration escalation and re-poll to verify in Step 4). | 5 / 5 |
Progressive Disclosure | Well-organized into Principles and Workflow with clear headers and no nested references, self-contained with no bundle files; stops short of 5 only because at ~106 lines some principle detail could plausibly live in a separate reference. | 4 / 5 |
Total | 17 / 20 Passed |