Agent skill

Granola Data Handling

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows.

MITAuto-check passedLegal & Compliance

Install Granola Data Handling

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-data-handling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-data-handling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-data-handling .claude/skills/granola-data-handling && rm -rf skills-src

Use ~/.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/

Facts

Skill name
granola-data-handling
GitHub stars
2.8k
Token cost
~2.3k tokens
SKILL.md length
628 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows.

  • Works in 6 steps: Understand Data Types and Sensitivity → Export Meeting Data → Configure Retention Policies → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls curl and python3; reaches api.granola.ai; needs GRANOLA_API_KEY

What it does

Granola Data Handling is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows. Handle Subject Access Requests and Right to Erasure. Trigger: "granola export", "granola data", "granola GDPR", "granola retention", "granola delete data", "granola compliance".

Its SKILL.md is about 2.3k 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 Legal & Compliance, covering Privacy and GDPR. It works with Notion. 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

  • Tasks that involve Privacy and GDPR

Example prompts

  • “granola export”
  • “granola data”
  • “granola GDPR”
  • “/granola-data-handling”

Requirements

  • Python 3
  • A credential in GRANOLA_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(python3:*), Bash(curl:*)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Understand Data Types and Sensitivity
  2. Export Meeting Data
  3. Configure Retention Policies
  4. GDPR Compliance
  5. CCPA Compliance
  6. Archival Workflow

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:

    • Read
    • Write
    • Edit
    • Bash(python3:*)
    • Bash(curl:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.granola.ai

    Also links to:

    • docs.granola.ai
    • help.granola.ai
    • granola.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GRANOLA_API_KEY

    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 Data Handling loads about 2.3k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 628 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

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). 628 words, ~2,333 tokens.

Download SKILL.mdSave it as .claude/skills/granola-data-handling/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
granola-data-handling
description
Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows. Handle Subject Access Requests and Right to Erasure. Trigger: "granola export", "granola data", "granola GDPR", "granola retention", "granola delete data", "granola compliance".
allowed-tools
Read, Write, Edit, Bash(python3:*), Bash(curl:*)
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, granola, compliance, data, gdpr

Granola Data Handling

Overview

Manage data lifecycle for Granola meeting data: export, retention policies, GDPR/CCPA compliance, and long-term archival. Covers individual data rights, organizational policies, and automated archival workflows.

Prerequisites

  • Granola admin access (for retention policies)
  • Understanding of applicable regulations (GDPR, CCPA, SOC 2)
  • Export destination prepared (cloud storage, Notion, local)

Instructions

Step 1 — Understand Data Types and Sensitivity
Data TypeWhat It ContainsSensitivityStorage
Meeting NotesYour typed notes + AI-enhanced outputMediumGranola cloud + local cache
TranscriptsFull text transcription of audioHigh (verbatim speech)Granola cloud + local cache
AudioRaw meeting audioCriticalDeleted after transcription (not stored)
Attendee InfoNames, emails from calendar eventsPIIGranola cloud (People & Companies)
Calendar MetadataEvent titles, times, attendee listsLow-MediumSynced from Google/Outlook

Key fact: Granola does not store raw audio after transcription. This is a significant privacy advantage — there is no audio file to leak, export, or subpoena.

Step 2 — Export Meeting Data

Individual note export:

  1. Open the meeting note in Granola
  2. Click the ... menu > Copy (copies as Markdown)
  3. Paste into your target: Notion, Google Doc, text editor

Important limitation: Granola does not currently support bulk export, PDF export, or structured file download (JSON/CSV). The available options are:

  • Copy individual notes as text/Markdown
  • Share to Notion (one note at a time via native integration)
  • Share to Slack (one note at a time)
  • Enterprise API (read-only access to workspace notes)

Workaround for bulk access — local cache:

python
#!/usr/bin/env python3
"""Export Granola meetings from local cache to Markdown files."""
import json
from pathlib import Path
from datetime import datetime

CACHE_PATH = Path.home() / "Library/Application Support/Granola/cache-v3.json"
OUTPUT_DIR = Path.home() / "Desktop/granola-export"
OUTPUT_DIR.mkdir(exist_ok=True)

def export_from_cache():
    raw = json.loads(CACHE_PATH.read_text())
    state = json.loads(raw) if isinstance(raw, str) else raw
    data = state.get("state", state)
    docs = data.get("documents", {})

    exported = 0
    for doc_id, doc in docs.items():
        title = doc.get("title", "Untitled").replace("/", "-")
        created = doc.get("created_at", "unknown")[:10]
        content = doc.get("last_viewed_panel", {})

        # Extract text from ProseMirror content (simplified)
        text_parts = []
        if isinstance(content, dict):
            for node in content.get("content", []):
                if node.get("type") == "paragraph":
                    for child in node.get("content", []):
                        text_parts.append(child.get("text", ""))
                elif node.get("type") == "heading":
                    level = node.get("attrs", {}).get("level", 1)
                    prefix = "#" * level
                    for child in node.get("content", []):
                        text_parts.append(f"\n{prefix} {child.get('text', '')}\n")

        filename = f"{created}_{title[:60]}.md"
        filepath = OUTPUT_DIR / filename
        filepath.write_text(f"# {title}\n\nDate: {created}\n\n{''.join(text_parts)}")
        exported += 1

    print(f"Exported {exported} meetings to {OUTPUT_DIR}")

export_from_cache()

Enterprise API export:

bash
# List all accessible notes (Enterprise plan required)
curl -s "https://api.granola.ai/v0/notes" \
  -H "Authorization: Bearer $GRANOLA_API_KEY" \
  -H "Content-Type: application/json" | python3 -c "
import json, sys
notes = json.load(sys.stdin).get('notes', [])
for note in notes[:10]:
    print(f\"{note.get('id', 'N/A')}: {note.get('title', 'Untitled')} ({note.get('created_at', 'N/A')})\")
print(f'Total accessible notes: {len(notes)}')
"
Step 3 — Configure Retention Policies

Settings > Data Retention (Business/Enterprise):

Data TypeRecommended RetentionRationale
Meeting notes1-2 yearsLong-term reference value
Transcripts90 daysStorage efficiency, lower PII risk
AudioDeleted after processingGranola default, not configurable
Attendee infoRetained with notesNeeded for People & Companies CRM

Per-workspace overrides (Enterprise):

  • HR workspace: 90-day notes, 30-day transcripts
  • Executive workspace: Custom (legal hold capable)
  • Sales workspace: 1-year notes, 90-day transcripts
  • Engineering workspace: 2-year notes, 90-day transcripts
Step 4 — GDPR Compliance

Required controls:

GDPR RightGranola Implementation
Right of Access (Art. 15)Export user's data via Settings > Data > Export or Enterprise API
Right to Erasure (Art. 17)Delete individual notes; request account deletion from Granola
Right to Data Portability (Art. 20)Copy notes as text, or use local cache export
Right to Object (Art. 21)AI training opt-out (Business/Enterprise)
Lawful BasisConsent (recording notice) or Legitimate Interest (employer's business ops)

Subject Access Request (SAR) handling:

markdown
## SAR Response Procedure

1. Receive SAR from data subject (30-day response deadline)
2. Verify identity of the requester
3. Search Granola for all notes containing the requester
   - People view: search by name/email
   - Enterprise API: query notes by attendee email
4. Export relevant notes (copy as text)
5. Redact third-party PII from the export
6. Deliver export to requester within 30 days
7. Document the SAR and response in compliance log

Data Processing Agreement:

  • Request DPA from Granola at security@granola.ai or via Settings
  • Required for any organization processing EU personal data
  • DPA covers Granola as a Data Processor
Show full SKILL.md (206 more words)Show less
Step 5 — CCPA Compliance

For California consumer data:

  • Disclosure: Update your privacy policy to mention Granola as a meeting recording tool
  • Opt-out: Provide mechanism for meeting participants to opt out of recording
  • Deletion: Honor deletion requests by removing notes containing the individual
Step 6 — Archival Workflow

For long-term retention beyond Granola:

yaml
# Monthly archival via Zapier
Trigger: Schedule by Zapier — 1st of month

Step 1 — Granola: List notes from past month
  (via Enterprise API or folder trigger accumulation)

Step 2 — Google Drive: Create folder
  Name: "Meeting Archives / YYYY-MM"

Step 3 — Google Drive: Upload files
  Content: Note markdown for each meeting

Step 4 — Slack: Notify admin
  Message: "Monthly meeting archive created: X notes archived"

Alternative: local cache backup

bash
# Backup local cache monthly
BACKUP_DIR="$HOME/backups/granola"
mkdir -p "$BACKUP_DIR"
cp "$HOME/Library/Application Support/Granola/cache-v3.json" \
   "$BACKUP_DIR/cache-v3-$(date +%Y%m%d).json"
echo "Granola cache backed up"

Output

  • Data export procedures documented and tested
  • Retention policies configured per workspace and data type
  • GDPR/CCPA compliance controls implemented
  • SAR handling procedure established
  • Archival workflow automated (monthly)

Error Handling

ErrorCauseFix
Cannot export notesNo bulk export featureUse local cache export script or Enterprise API
SAR deadline at riskNo process ownerAssign dedicated compliance contact
Retention policy not appliedEnterprise feature requiredUpgrade to Enterprise, or manually manage
Archive missing notesCache didn't contain all notesUse Enterprise API for complete workspace data
Deletion incompleteBackup retention periodAllow 30 days for Granola to purge from all backups

Examples

Process a fictitious meeting fixture and record source=synthetic-notes; class=internal-test; accepted=8; quarantined=1; consent=recorded; retention=24h; cleanup=verified. Do not retain transcript text, participant names, or generated notes in the receipt.

Resources

Next Steps

Proceed to granola-enterprise-rbac for role-based access control configuration.

© 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-data-handling of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

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HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Works with

Questions about Granola Data Handling

What does Granola Data Handling do?

Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows. Granola Data Handling is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage Granola data export, retention policies, GDPR/CCPA compliance, and archival workflows.

When should I use Granola Data Handling?

Granola Data Handling fits situations like: tasks that involve Privacy and GDPR.

How do I install Granola Data Handling in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-data-handling -a claude-code`. Or copy the skill folder (skills/.curated/granola-data-handling in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/granola-data-handling in your project. Claude Code loads it when a task matches its description.

How do I install Granola Data Handling in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-data-handling -a codex`. Or copy the skill folder (skills/.curated/granola-data-handling in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/granola-data-handling in your project. Codex loads it when a task matches its description.

Can I use Granola Data Handling 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-data-handling -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-data-handling, .gemini/skills/granola-data-handling, .github/skills/granola-data-handling and .opencode/skills/granola-data-handling in your project.

What does Granola Data Handling need to run?

Going by SKILL.md and its folder, Granola Data Handling needs the command-line tools its instructions call (curl and python3) and credentials named GRANOLA_API_KEY. Our summary lists: Python 3; A credential in GRANOLA_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python3:*), Bash(curl:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Granola Data Handling access the network?

SKILL.md names 4 domains. In commands or code: api.granola.ai; the agent is likely to contact it when it follows the instructions. As links in the text: docs.granola.ai, help.granola.ai and granola.ai. This is read from the text; nothing was executed.

Is Granola Data Handling 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 Data Handling use?

Granola Data Handling 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 Data Handling use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 893 tokens, read only when the agent opens those files.

What are the alternatives to Granola Data Handling?

Skills that share tags, products or a category with Granola Data Handling: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Granola Data Handling?

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.