Content
86%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.
An excellent reference-style skill body: executable, output-annotated code for the dominant Python path with tight TypeScript deltas, concrete limits and tier constraints stated as tables, and best-in-class progressive disclosure via a decision tree and index tables that all resolve to real bundle files. The remaining gaps are minor — a redundant TypeScript Image example, inline per-language method listings that duplicate preview.md, no demonstrated error-recovery loop, and no caution around the destructive delete() call.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and largely earns its tokens: setup checks are actionable, code samples carry only functional comments, and the limits/tier tables are pure signal. Minor trimming opportunities exist — the TypeScript Image-builder block duplicates the Python one almost verbatim despite the earlier 'mirrors the Python API' note, and the preview section inlines per-language method signatures for four SDKs that also live in preview.md. This fits 'Efficient; minor instances of over-explanation that could be trimmed' rather than the every-token-earns-its-place 5. | 4 / 5 |
Actionability | Guidance is copy-paste ready and covers the common cases: verified setup commands (`pip show daytona`, checking `DAYTONA_API_KEY`), complete executable Python for create/exec/file-ops/lifecycle with expected outputs annotated (`.result`, `.exit_code`), a parallel create example with explicit defaults (1 vCPU, 1GB RAM, 3GB disk), and concrete error handling (`DaytonaError`) and async (`AsyncDaytona`) pointers. This matches 'Fully executable; copy-paste ready code or commands; specific examples cover the common cases'. | 5 / 5 |
Workflow Clarity | The primary workflow is well sequenced: 'Before You Start' is an explicit validation checkpoint with a failure branch (missing API key → point the user to the dashboard), the lifecycle section states the archive precondition ('must be stopped first'), and the snapshot pattern cleanly separates one-time setup from repeat use. It falls short of 5 because there are no error-recovery loops (DaytonaError is named but never shown being handled) and the destructive `sandbox.delete()` appears with no validation or caution step — though destructive operations are peripheral rather than the skill's core workflow, this is more than a trivial gap. | 4 / 5 |
Progressive Disclosure | Structure is exemplary: a concise overview with just enough inline code, a Quick Decision Tree mapping tasks to files, an SDK index table, a per-SDK feature-guide filename table, and platform/API reference tables — all references one level deep and clearly signaled. Verified against the actual bundle, essentially every referenced path (including all 18 feature-guide filenames across all five SDK folders) resolves to a real file; the only wrinkle is that `./references/<lang>-sdk/object-storage.md` does not exist at the Python top level (only sync/ and async/ variants) and is absent for Go, but the row's '(Python sync/async, TypeScript, Ruby)' parenthetical correctly signals where those variants live, so navigation is not broken. | 5 / 5 |
Total | 18 / 20 Passed |