Content
12%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads as a high-level description of GOAP concepts rather than an actionable skill that teaches Claude how to do something specific. It extensively explains well-known AI planning concepts (A*, OODA, preconditions/effects) that Claude already understands, while providing almost no concrete, executable guidance. The MCP examples are syntactically questionable and lack context for when and how to use them.
Suggestions
Remove all conceptual explanations of GOAP, A*, and OODA loops — Claude already knows these. Replace with specific instructions for how to apply planning to the user's request.
Provide concrete, executable examples showing a complete planning cycle: a specific initial state, goal state, action inventory, generated plan, and expected output format.
Replace the pseudo-JavaScript MCP examples with actual tool invocation syntax that Claude can copy-paste, including realistic parameters and expected responses.
Add validation checkpoints to the workflow, such as how to verify a plan is valid before execution, how to detect failure conditions, and specific criteria for triggering replanning.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and padded with concepts Claude already knows. The lengthy descriptions of GOAP, A* search, OODA loops, precondition analysis, and effect prediction are all well-known concepts that don't need explanation. The bullet-point lists of 'core capabilities' read like a resume rather than actionable instructions. Most of the content could be removed without losing any practical value. | 1 / 3 |
Actionability | The skill provides no concrete, executable guidance. The MCP integration examples use JavaScript syntax that isn't valid tool invocation format, and the GOAP methodology section describes abstract concepts ('Use A* pathfinding to search through possible action sequences') rather than giving specific instructions Claude can follow. There are no real examples of inputs, outputs, or actual planning workflows. | 1 / 3 |
Workflow Clarity | The five-step planning methodology (State Assessment → Action Analysis → Plan Generation → Execution Monitoring → Dynamic Replanning) provides a clear sequence, and the OODA loop sub-steps add some structure. However, there are no validation checkpoints, no error recovery steps, and no concrete criteria for when to replan vs. continue. The workflow is conceptual rather than operational. | 2 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with no references to external files and no bundle files to support it. Everything is inlined in a single document with no clear separation between overview and detailed content. For a skill this complex, there should be separate references for action definitions, state modeling patterns, and example plans. | 1 / 3 |
Total | 5 / 12 Passed |