Content
55%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill excels at actionability with concrete, executable code and a clear 4-step workflow with verification. However, it is severely bloated — the per-provider conversion snippets, agent loop skeleton, and provider comparison table make this far too long for a SKILL.md overview. Most of this reference material should be split into separate files, with the main skill providing a concise overview and clear pointers.
Suggestions
Move the per-provider schema conversion table and Python snippets into a separate reference file (e.g., PROVIDER-SCHEMAS.md) and link to it from the main skill.
Move the agent loop section (skeleton code and per-provider stop-reason details) into a separate reference file (e.g., AGENT-LOOP.md) since it's supplementary to the core tool creation workflow.
Remove explanatory text that Claude already knows, such as 'An agent that uses tools runs a short loop: call the provider, dispatch any tool calls, loop again, stop when the provider returns a final answer.'
Keep the main SKILL.md focused on the 4-step workflow (Identify → Create → Attach → Verify) with minimal inline examples, using progressive disclosure to reference detailed provider-specific content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~200+ lines. The per-provider conversion table, full Python conversion snippets for 4 providers, and the entire agent loop skeleton are extensive reference material that could be in separate files. The agent loop section explains concepts Claude already knows (what a tool loop is, how stop reasons work). Much of this content doesn't earn its token cost in the main SKILL.md. | 1 / 3 |
Actionability | The skill provides fully executable code examples throughout — JSON schema examples, complete Python conversion snippets for multiple providers, a full agent loop skeleton with Anthropic, and concrete MCP tool call sequences. The workflow steps specify exact tool names and parameters. | 3 / 3 |
Workflow Clarity | The 4-step workflow (Identify → Create → Attach → Verify) is clearly sequenced with explicit verification in Step 4. The skill includes important validation checkpoints (confirm tool exists, confirm attachment), a feedback loop for the listing-first path, and explicit warnings about destructive behavior (clobbering UI edits). Edge cases are documented with specific actions. | 3 / 3 |
Progressive Disclosure | This is a monolithic wall of content. The per-provider conversion table, all Python conversion snippets, the full agent loop skeleton, and the provider-specific tracking references should be in separate reference files. The skill references external files (e.g., openai-tracking.md, anthropic-tracking.md) but still inlines massive amounts of content that belongs in those references. No bundle files are provided to offload this content. | 1 / 3 |
Total | 8 / 12 Passed |