Optimize Granola transcription accuracy, note quality, and processing speed. Use when improving transcription quality, reducing processing time, optimizing templates for better AI output, or tuning audio setup. Trigger: "granola performance", "granola accuracy", "granola quality", "improve granola", "granola transcription better".
54
62%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/granola-pack/skills/granola-performance-tuning/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description with strong trigger terms and completeness. It clearly identifies the Granola product domain and provides explicit 'Use when' guidance with natural trigger phrases. The main weakness is that the specific capabilities could be more concrete—listing actual optimization actions rather than general goals like 'optimize accuracy' would strengthen it.
Suggestions
Add more concrete action verbs describing what the skill actually does, e.g., 'Adjusts audio input settings, refines template prompts, configures noise reduction, and benchmarks processing speed for Granola transcriptions.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Granola transcription) and some actions (optimize accuracy, note quality, processing speed), but the actions are somewhat high-level and lack concrete specifics like 'adjust audio settings', 'configure template parameters', or 'calibrate noise reduction'. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize transcription accuracy, note quality, processing speed) and 'when' (explicit 'Use when' clause with triggers for improving quality, reducing processing time, optimizing templates, tuning audio setup). Also includes explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger terms that users would naturally say: 'granola performance', 'granola accuracy', 'granola quality', 'improve granola', 'granola transcription better'. These cover natural variations of how a user would phrase their need. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific product name 'Granola' and the niche focus on transcription performance optimization. Very unlikely to conflict with other skills given the unique domain. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads more like a comprehensive blog post or human-facing guide than a concise, actionable skill for Claude. It contains substantial general knowledge (audio setup, meeting etiquette) that doesn't need to be taught to Claude, and most 'instructions' are behavioral advice for meeting participants rather than executable steps Claude can perform. The template example and error handling table are the strongest elements, but the overall content is too verbose for its utility.
Suggestions
Cut general knowledge content (audio hardware recommendations, room setup tips, meeting etiquette) by at least 50% — focus only on Granola-specific configuration and non-obvious tips.
Reframe the skill around what Claude can actually do: generating/optimizing templates, reviewing enhanced notes for quality, using Granola Chat effectively, and diagnosing quality issues from user descriptions.
Split the detailed tables and checklists into separate bundle files (e.g., audio-checklist.md, template-examples.md) and keep SKILL.md as a concise overview with references.
Add a concrete feedback loop: after template changes, specify how to compare output quality between old and new templates (e.g., side-by-side review of enhanced notes from similar meetings).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is excessively verbose for its subject matter. Much of the content explains common-sense meeting practices (close doors, turn off fans, one speaker at a time) and basic audio setup that Claude already knows. The hardware recommendation table, room setup checklist, and meeting behavior tips are largely general knowledge padded into the skill. The content could be reduced by 50%+ without losing actionable value. | 1 / 3 |
Actionability | The skill provides checklists, tables, and a template example, which are somewhat concrete. However, most guidance is behavioral advice for humans rather than executable instructions for Claude. There are no scripts, commands, or automatable steps — it reads more like a blog post than a skill Claude can act on. The Granola Chat examples are useful but still just prompt suggestions. | 2 / 3 |
Workflow Clarity | Steps are numbered and sequenced logically (audio → practices → templates → review → chat → measure), and there's a quality review checklist. However, the 'measure and track quality' step lacks concrete validation mechanisms — spot-checking transcripts and monthly surveys are vague. There's no feedback loop for iterating on template changes or verifying improvements after adjustments. | 2 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with everything inline. The six detailed steps with multiple tables and checklists could benefit from being split into separate files (e.g., audio-setup.md, template-guide.md). External resource links are provided at the end, but there's no bundle structure to offload the detailed content. The reference to 'granola-cost-tuning' is a good cross-reference. | 2 / 3 |
Total | 7 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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Table of Contents
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