Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a comprehensive reference for AWS Step Functions with strong actionability — the JSON ASL examples and CLI/boto3 code are concrete and executable. However, it's overly long for a skill file, including information Claude already knows (state type definitions, generic best practices) and lacking a clear end-to-end workflow with validation checkpoints. The content would benefit from splitting detailed patterns into separate files and adding an explicit create-validate-deploy workflow.
Suggestions
Add an explicit end-to-end workflow: define → validate (`validate-state-machine-definition`) → create → start execution → verify status, with a feedback loop on validation failure.
Remove or drastically compress the state types table and basic best practices (e.g., 'use meaningful state names') — Claude already knows these concepts.
Split the detailed ASL pattern examples (Parallel, Map, Error Handling, Choice) into a separate PATTERNS.md file and reference it from the main skill to reduce token footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably well-structured but includes content Claude already knows (state type descriptions, what ASL is, basic best practices like 'use meaningful state names'). The CLI reference tables and state type tables add bulk that Claude can recall from training. The multiple full JSON examples are lengthy but mostly justified for showing ASL syntax patterns. | 2 / 3 |
Actionability | The skill provides fully executable code examples throughout — complete ASL JSON definitions, working boto3 code, and specific CLI commands with realistic arguments. The examples cover the key patterns (Choice, Parallel, Map, Error Handling) with copy-paste ready code. | 3 / 3 |
Workflow Clarity | While individual patterns are well-demonstrated, there's no clear end-to-end workflow showing how to go from design to deployment to validation. The troubleshooting section mentions validation but doesn't integrate it into a workflow with explicit checkpoints. For a skill involving state machine creation and deployment (potentially destructive operations), the lack of a validate-before-deploy feedback loop is a gap. | 2 / 3 |
Progressive Disclosure | The content has a table of contents and logical sections, but it's a monolithic ~300-line document with no bundle files to offload detailed content. The extensive JSON examples for Parallel, Map, and Error Handling patterns could be split into separate reference files, with the main skill providing a concise overview and links. | 2 / 3 |
Total | 9 / 12 Passed |