HyperFrames Media Use
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
Agent skill
Granola Performance Tuning
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Optimize Granola transcription accuracy, note quality, and processing speed.
Install Granola Performance Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .claude/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .claude/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .agents/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .agents/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .cursor/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .cursor/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/granola-performance-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .gemini/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .gemini/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .github/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .github/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-performance-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/granola-performance-tuning .opencode/skills/granola-performance-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "granola-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/granola-performance-tuning into .opencode/skills/granola-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "granola-performance-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
granola-performance-tuning- GitHub stars
- 2.8k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 736 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize Granola transcription accuracy, note quality, and processing speed.
- Works in 6 steps: Optimize Audio for Transcription → Improve Meeting Practices → Optimize Templates for AI Quality → …
- Improving transcription quality
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Granola Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation.md`). Compatibility notes: Designed for Claude Code
It sits in Media & Creative, covering Transcription. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Improving transcription quality
- Reducing processing time
- Optimizing templates for better AI output
- Tuning audio setup
Example prompts
- “granola performance”
- “granola accuracy”
- “granola quality”
- “/granola-performance-tuning”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
granola.aidocs.granola.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Granola Performance Tuning loads about 1.8k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 736 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 736 words, ~1,848 tokens.
Download SKILL.mdSave it as
.claude/skills/granola-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- granola-performance-tuning
- description
- 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".
- allowed-tools
- Read, Write, Edit
- compatibility
- Designed for Claude Code
- version
- 1.13.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, granola, performance, transcription
Granola Performance Tuning
Overview
Optimize Granola output quality across three dimensions: audio/transcription accuracy, AI enhancement quality, and integration speed. Granola's AI (GPT-4o/Claude) produces better output when it has clean audio, well-typed notes, and structured templates.
Prerequisites
- Working Granola installation with meetings captured
- Willingness to improve audio setup and meeting practices
- At least 3-5 meetings captured to establish baseline quality
Instructions
Step 1 — Optimize Audio for Transcription
Granola captures system audio from your device. Transcription accuracy depends entirely on audio quality:
Hardware recommendations (by priority):
| Setup | Accuracy Impact | Recommendation |
|---|---|---|
| Wired headset with mic | Highest | Best for solo/remote meetings |
| USB condenser mic | High | Best for in-office, multiple speakers |
| Laptop built-in mic | Medium | Acceptable for quiet environments |
| Bluetooth headset | Variable | May cause dropouts — test first |
| Speakerphone in room | Low | Echo and distance degrade accuracy |
Audio configuration checklist:
- Correct input device selected in System Settings > Sound > Input
- Input volume at 75-100% (not too low, not clipping)
- Audio enhancements disabled (Windows: right-click device > Properties > disable enhancements)
- No conflicting virtual audio software (Loopback, BlackHole, etc.)
- Bluetooth device stable (or switch to wired if experiencing drops)
Room setup:
- Minimal background noise (close doors, turn off fans)
- Soft surfaces to reduce echo (avoid glass-walled conference rooms)
- Mic within 12 inches of speaker(s)
- Meeting participants using headsets (reduces echo and crosstalk)
Step 2 — Improve Meeting Practices
These behaviors directly improve Granola's output:
| Practice | Impact | Why It Helps |
|---|---|---|
| State names when assigning work | High | "Sarah, can you handle the API spec?" enables correct attribution |
| Use explicit action language | High | "Action item: review by Friday" — AI detects structured language |
| One speaker at a time | High | Crosstalk confuses speaker diarization |
| Summarize decisions verbally | Medium | "So we've decided to go with option B" — AI captures decisions |
| Spell technical terms first time | Medium | "We'll use Kubernetes, K-U-B-E-R-N-E-T-E-S" — improves accuracy |
| Type notes during the meeting | High | Your notes give the AI critical context for enhancement |
| Brief recap at meeting end | Medium | "To summarize, we agreed on X, Y, and Z" — improves summary |
Step 3 — Optimize Templates for AI Quality
Template structure directly affects the quality of enhanced output:
High-quality template design:
## Summary
[2-3 sentence overview of the meeting]
## Key Decisions
[Bullet list of decisions made, with reasoning]
## Action Items
[Format: - [ ] @person: task (due date)]
## Open Questions
[Items that need follow-up or weren't resolved]
## Next Steps
[What happens after this meeting]Template optimization tips:
- Use 5-7 sections max — too many sections dilute content
- Include format hints —
[Format: - [ ] @person: task]guides the AI - Put Action Items near the end — AI processes sequentially, actions at the end capture the full meeting
- Add "Verbatim Quotes" section for customer calls — AI will pull exact language from the transcript
- Avoid generic sections — "Notes" and "Discussion" produce vague output; be specific
Show full SKILL.md (321 more words)Show less
Step 4 — Post-Meeting Quality Review (5 Minutes)
After enhancing notes, spend 5 minutes on quality assurance:
- Summary accurate? Does it reflect what actually happened?
- Action items complete? Are all commitments captured with correct owners?
- Decisions correct? No hallucinated decisions or mixed-up attributions?
- Sensitive content? Remove anything that shouldn't be shared before posting
- Missing context? Add background the AI couldn't know
Step 5 — Use Granola Chat to Fill Gaps
After enhancement, use Chat to improve the notes:
"What did Mike say about the timeline?"
→ Searches transcript for Mike's statements about timeline
"Were there any disagreements that aren't captured in the summary?"
→ Analyzes transcript for conflicting viewpoints
"Add the budget numbers that were discussed"
→ Pulls specific figures from the transcript
"Rewrite the action items with more detail"
→ Expands terse action items with transcript contextStep 6 — Measure and Track Quality
| Metric | Target | How to Measure |
|---|---|---|
| Transcription accuracy | >95% word accuracy | Spot-check 2-3 min of transcript vs. audio |
| Action item detection | >90% captured | Compare enhanced notes to manual list |
| Decision accuracy | 100% correct | Verify all listed decisions actually happened |
| Processing time | <2 min for 30-min meeting | Timestamp when meeting ends vs. when notes are ready |
| Enhancement usefulness | 4+/5 team rating | Monthly survey: "How useful are Granola notes?" |
Track these monthly. If accuracy drops below target:
- Check audio setup (most common cause)
- Review template structure
- Verify meeting practices are being followed
- Contact Granola support for persistent issues
Output
- Audio setup optimized for maximum transcription accuracy
- Meeting practices improving AI output quality
- Templates structured for effective enhancement
- Quality measurement process established
Error Handling
| Issue | Cause | Fix |
|---|---|---|
| <85% transcription accuracy | Poor microphone or noisy room | Upgrade to wired headset, reduce background noise |
| Action items missed | Vague language ("someone should...") | Use explicit format: "Action item: @person does X by Y" |
| Wrong speaker attribution | Crosstalk or no name usage | State names, avoid overlapping speech |
| Slow processing (>5 min) | Long meeting or server load | Normal for 2+ hour meetings; check status.granola.ai |
| Hallucinated decisions | AI filling template sections | Review before sharing; remove decisions that didn't happen |
Examples
env=sandbox; p95=420ms->310ms; concurrency=2; queue=healthy; delivery=pass; retention=none; rollback=perf-r3 documents a safe canary without retaining notes.
Resources
- Get the Best from Granola
- How Transcription Works
- Customize Templates
Next Steps
Proceed to granola-cost-tuning for cost optimization and plan selection.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/granola-performance-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/implementation.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Granola Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Granola Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Edu Chem Videowy51ai/edulab | 1.4k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Transcription Memory ReconstructionNxcoreAI/EverRoom | 3k | — | ~714 | Automated safety check: Pass | Custom licence | |
| Edu Math Videowy51ai/edulab | 1.4k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 |
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Questions about Granola Performance Tuning
What does Granola Performance Tuning do?
Optimize Granola transcription accuracy, note quality, and processing speed. Granola Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Granola transcription accuracy, note quality, and processing speed.
When should I use Granola Performance Tuning?
Granola Performance Tuning fits situations like: improving transcription quality; reducing processing time; optimizing templates for better AI output; tuning audio setup.
How do I install Granola Performance Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/granola-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/granola-performance-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Granola Performance Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/granola-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/granola-performance-tuning in your project. Codex loads it when a task matches its description.
Can I use Granola Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/granola-performance-tuning, .gemini/skills/granola-performance-tuning, .github/skills/granola-performance-tuning and .opencode/skills/granola-performance-tuning in your project.
What does Granola Performance Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Granola Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.
Does Granola Performance Tuning access the network?
SKILL.md names 2 domains. As links in the text: granola.ai and docs.granola.ai. This is read from the text; nothing was executed.
Is Granola Performance Tuning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Granola Performance Tuning use?
Granola Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Granola Performance Tuning use?
About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 786 tokens, read only when the agent opens those files.
What are the alternatives to Granola Performance Tuning?
Skills that share tags, products or a category with Granola Performance Tuning: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Granola Performance Tuning?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.