Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a competent skill with a well-structured workflow and clear safety guardrails around destructive operations (archive-before-delete pattern, explicit confirmation requirements). Its main weaknesses are the lack of concrete tool invocation examples with sample parameters and some redundancy in stating the archive-first principle multiple times. The workflow clarity is strong with proper assess-modify-verify sequencing.
Suggestions
Add at least one concrete example of a full MCP tool invocation with sample parameters (e.g., a complete `update-ai-config-variation` call showing modelConfigKey, modelName, and temperature values) to improve actionability.
Remove the redundant restatements of the archive-before-delete guidance — it appears in Core Principles, Step 2 Archive section, Step 2 Delete section, and What NOT to Do. State it definitively once and reference it.
Cut the opening meta-sentence ('You're using a skill that will guide you through...') — it adds no value and wastes tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary padding. The opening sentence ('You're using a skill that will guide you through...') is meta-fluff. The Core Principles section restates what the workflow already demonstrates. The 'What NOT to Do' section has some useful constraints but also repeats guidance already given (e.g., archiving before deleting is stated three times across the document). | 2 / 3 |
Actionability | The skill names specific MCP tools and describes what parameters to pass (e.g., `archived: true`, `confirm: true`, `modelConfigKey`), which is helpful. However, there are no concrete examples of actual tool invocations with full parameter sets — it describes what to do rather than showing executable examples of tool calls with sample inputs/outputs. | 2 / 3 |
Workflow Clarity | The three-step workflow (Assess → Update → Verify) is clearly sequenced with explicit validation checkpoints. The health check step provides structured diagnostics, the update step covers all operation types with clear guidance on when to archive vs delete, and Step 3 explicitly requires verification via `get-ai-config`. The feedback loop of verify-and-flag-issues is present. | 3 / 3 |
Progressive Disclosure | The document has reasonable section structure and references related skills at the bottom. However, the content is somewhat monolithic — the Step 2 section is dense with multiple operation types that could benefit from being split or more clearly delineated. No bundle files are provided, so there's no deeper reference structure, but the inline content could be better organized for a skill of this length. | 2 / 3 |
Total | 9 / 12 Passed |