Content
71%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.
The body is a well-structured, highly actionable guide that keeps detailed schema docs in seven real reference files and leads with a sequenced, validated workflow. Its main weakness is mild conceptual padding in the intro and best-practice sections that assumes too little of Claude.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with actionable commands and tight do/don't lists, but the "What are Apify Actors?" section explains a concept (serverless programs, UNIX philosophy) Claude already knows and could be trimmed; a few best-practice bullets could be tightened. | 3 / 5 |
Actionability | Guidance is largely executable — concrete `apify create`/`run`/`push` commands, named templates, specific concurrency ranges (HTTP 10-50, Browser 1-5), and crawler recommendations — with only minor high-level gaps such as "Implement logic - Write the actor code in src/main.py". | 4 / 5 |
Workflow Clarity | The 8-step Quick Start is clearly sequenced with validation checkpoints (verify CLI with `apify --help`, check login with `apify info`, test locally with `apify run` before `apify push`), plus a dedicated Local Testing section; minor gaps remain around explicit error-recovery feedback loops for the deploy step. | 4 / 5 |
Progressive Disclosure | The body is a clear overview with well-signaled, one-level-deep markdown links to all seven existing reference files (actor-json, input-schema, output-schema, dataset-schema, key-value-store, logging, standby-mode), keeping detailed schemas out of SKILL.md while making navigation easy. | 5 / 5 |
Total | 16 / 20 Passed |