Content
82%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.
A strong, action-dense skill body: a 9-step workflow with checklists, explicit validation steps, security guidance, and clean delegation to four real reference files that contain complete executable code. The main deductions are repetitive flag usage, a missing fix-retest feedback loop for the local test step, and cross-skill reference paths that do not resolve within this bundle.
Suggestions
State the `--user-agent apify-agent-skills/apify-actorization` flag once (it already has a dedicated section) and stop repeating it in every command and checklist item to save tokens.
Add an explicit error-recovery loop after the Step 8 test, e.g. "If `apify run` fails, fix the issue and re-run until it succeeds before pushing" — currently the workflow jumps from test straight to deploy with no failure guidance.
Fix the dangling cross-skill references: `skills/apify-actor-development/references/actor-readme.md` in Step 7 and the `../../apify-actor-development/references/standby-mode.md` / `references/output-schemas.md` links inside reference files — either inline the needed content or make the paths resolvable within this skill's bundle.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is command-first and efficient with no filler explaining concepts Claude already knows, but the `--user-agent apify-agent-skills/apify-actorization` flag is repeated in every command, in its own dedicated section, and again in both checklists, and the Quick start duplicates Steps 2, 8, and 9. | 4 / 5 |
Actionability | Every step is backed by copy-paste-ready commands (`apify init <actor-name> ...`, `apify run --input '...'`, `apify push`), concrete Docker base images (`apify/actor-python`, `apify/actor-node`), an SDK wrap-pattern quick-reference table, and reference files with complete executable code (e.g. full Actor lifecycle snippets and a Dockerfile in cli-actorization.md). | 5 / 5 |
Workflow Clarity | A clear 9-step sequence with two checklists and explicit validation checkpoints (schema validation against `@apify/json_schemas`, local test run before push, pre-deployment checklist), plus conditional remediation for prerequisites. It falls short of 5 because there is no error-recovery loop for the core workflow — no guidance on what to do when the Step 8 `apify run` test fails before deploying. | 4 / 5 |
Progressive Disclosure | The body is a well-organized overview with clearly signaled one-level-deep references (js-ts, python, cli, schemas-and-output) that all exist and split content appropriately. The gap: Step 7 references `skills/apify-actor-development/references/actor-readme.md` which is not in this bundle, and reference files themselves point to other skills' files (`../../apify-actor-development/references/standby-mode.md`, `references/output-schemas.md`), leaving dangling navigation paths. | 4 / 5 |
Total | 17 / 20 Passed |