Content
75%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-organized, actionable model catalog: concrete examples per modality, parameter tables, and practical tips. Weaknesses are mild — off-scope ElevenLabs/VideoDB tangents, undefined VideoDB setup, and async result handling that is listed as a tool but never explained as a workflow step.
Suggestions
Add a short 'Retrieve results' note explaining when generate returns a request_id and how to poll it with result/status, closing the main workflow gap.
Give the VideoDB snippet a one-line setup pointer (how 'coll' is obtained) or move the ElevenLabs/VideoDB sections into a reference file to keep the SKILL.md focused on fal.ai.
Trim the 'When to Activate' bullets, which restate triggers already in the description, and fold any remaining notes into the Tips section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly dense tables, copy-ready call examples, and 'Best for:' one-liners with no explanations of known concepts; minor trimmable parts are the 'When to Activate' section restating the description's triggers and the off-scope ElevenLabs/VideoDB sections. | 4 / 5 |
Actionability | Concrete app_ids, real parameter values, an executable ElevenLabs snippet, and an explicit upload-then-generate sequence for image editing; minor gaps are placeholders like '<uploaded_url>' and the VideoDB snippets using an undefined 'coll' with no setup guidance. | 4 / 5 |
Workflow Clarity | Each recipe is a clear sequence, model choice is guided ('Best for', iterate on Nano Banana 2 then switch to Pro), and cost is gated via estimate_cost before expensive runs; however the async 'result'/'status' tools are listed but never woven into a generate-then-poll workflow, and there are no error-recovery checkpoints. | 4 / 5 |
Progressive Disclosure | A single well-sectioned file (tools, image, video, audio, cost, discovery, tips) with no bundle files to reference; at ~280 lines the per-model catalog is still appropriately placed inline but is approaching the size where a references/ split would pay off, so it falls just short of a 5. | 4 / 5 |
Total | 16 / 20 Passed |