Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable GUI workflow for Granola meeting prep with clear sequencing and error-recovery guidance, though it carries some explanatory padding and does not split its longer reference material into bundle files.
Suggestions
Trim explanatory asides like 'Templates tell the AI how to structure the enhanced output' and 'Granola ships with 29 built-in templates' to lift conciseness toward a lean 3.
Move the large template- and recipe-reference tables into a references/ file (e.g. TEMPLATES.md, RECIPES.md) and link to them from SKILL.md to enable one-level-deep progressive disclosure.
Consider pruning or collapsing the full built-in template and per-folder default tables to only the entries the workflow actually relies on, reducing token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient tables and steps, but padded with explanatory prose such as 'Templates tell the AI how to structure the enhanced output — a sales call produces different sections than a standup' and 'Granola ships with 29 built-in templates', so it is not the lean 'every token earns its place' level. | 2 / 3 |
Actionability | As an instruction-only skill it gives concrete, copy-paste-ready guidance — exact click paths ('Granola Settings > Templates', 'Click Create New Template'), a recipe-prompt table, and full template markdown blocks — so absence of code is not penalized. | 3 / 3 |
Workflow Clarity | Five steps are clearly sequenced (Step 1–5) with an Error Handling table acting as a feedback loop for recovery and a Best Practices checklist; no destructive/batch operations exist to trigger a validation cap, so it is above the 'checkpoints missing' level. | 3 / 3 |
Progressive Disclosure | No bundle files exist (references/scripts/assets absent) and the ~140-line body keeps reference-style template and recipe tables inline, so it has structure but lacks the well-signaled one-level-deep references needed for a 3. | 2 / 3 |
Total | 10 / 12 Passed |