Agent skill

Granola Local Dev Loop

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

Access Granola meeting data programmatically for developer workflows.

MITAuto-check passedAgent Workflows

Install Granola Local Dev Loop

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-local-dev-loop -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace granola-local-dev-loop --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/plugins/saas-packs/granola-pack/skills/granola-local-dev-loop .claude/skills/granola-local-dev-loop && 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-local-dev-loop
GitHub stars
2.8k
Token cost
~1.9k tokens
SKILL.md length
350 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Access Granola meeting data programmatically for developer workflows.

  • Works in 5 steps: Read the Local Cache (Zero Auth) → Set Up Granola MCP Server → Extract Action Items to Dev Tools → …
  • Reading notes from the local cache
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls python3 and git

What it does

Granola Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Access Granola meeting data programmatically for developer workflows. Use when reading notes from the local cache, building MCP integrations, extracting action items into code, or syncing meeting outcomes to dev tools. Trigger: "granola dev workflow", "granola MCP", "granola local cache", "granola developer", "granola programmatic".

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. 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

  • Reading notes from the local cache
  • Building MCP integrations
  • Extracting action items into code
  • Syncing meeting outcomes to dev tools

Example prompts

  • “granola dev workflow”
  • “granola MCP”
  • “granola local cache”
  • “/granola-local-dev-loop”

Requirements

  • Python 3
  • Node.js
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(curl:*), Bash(jq:*), Bash(python3:*), Grep

Workflow steps

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

  1. Read the Local Cache (Zero Auth)
  2. Set Up Granola MCP Server
  3. Extract Action Items to Dev Tools
  4. Sync Meeting Outcomes to Project Docs
  5. Git Integration Pattern

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(curl:*)
    • Bash(jq:*)
    • Bash(python3:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • git

    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):

    • github.com
    • granola.ai
    • docs.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 Local Dev Loop loads about 1.9k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 350 words, ~1,893 tokens.

Download SKILL.mdSave it as .claude/skills/granola-local-dev-loop/SKILL.md (or your agent's skills folder).
name
granola-local-dev-loop
description
Access Granola meeting data programmatically for developer workflows. Use when reading notes from the local cache, building MCP integrations, extracting action items into code, or syncing meeting outcomes to dev tools. Trigger: "granola dev workflow", "granola MCP", "granola local cache", "granola developer", "granola programmatic".
allowed-tools
Read, Write, Edit, Bash(curl:*), Bash(jq:*), Bash(python3:*), Grep
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, granola, workflow, developer

Granola Local Dev Loop

Overview

Access Granola meeting data programmatically using three methods: the local cache file (zero-auth, offline), the MCP server (AI agent integration), or the Enterprise API (workspace-wide access). Build developer workflows that turn meeting outcomes into code tasks, documentation, and project artifacts.

Prerequisites

  • Granola installed with meetings captured
  • Node.js 18+ or Python 3.10+ for scripts
  • For MCP: Claude Code, Cursor, or another MCP-compatible client
  • For Enterprise API: Business/Enterprise plan + API key

Instructions

Step 1 — Read the Local Cache (Zero Auth)

Granola stores meeting data in a local JSON cache file:

bash
# macOS cache location
CACHE_FILE="$HOME/Library/Application Support/Granola/cache-v3.json"

# Check if cache exists and get size
ls -lh "$CACHE_FILE"

The cache has a double-JSON structure (JSON string inside JSON):

python
#!/usr/bin/env python3
"""Extract meetings from Granola local cache."""
import json
from pathlib import Path

CACHE_PATH = Path.home() / "Library/Application Support/Granola/cache-v3.json"

def load_granola_cache():
    raw = json.loads(CACHE_PATH.read_text())
    # Cache contains a JSON string that needs secondary parsing
    state = json.loads(raw) if isinstance(raw, str) else raw
    data = state.get("state", state)
    return {
        "documents": data.get("documents", {}),
        "transcripts": data.get("transcripts", {}),
        "meetings_metadata": data.get("meetingsMetadata", {}),
    }

cache = load_granola_cache()
docs = cache["documents"]
print(f"Found {len(docs)} meetings in local cache")

# List recent meetings
for doc_id, doc in sorted(docs.items(),
                          key=lambda x: x[1].get("updated_at", ""),
                          reverse=True)[:10]:
    print(f"  {doc.get('title', 'Untitled')} — {doc.get('updated_at', 'N/A')}")
Step 2 — Set Up Granola MCP Server

Granola's official MCP integration connects meeting context to AI tools:

json
// claude_desktop_config.json or .mcp.json
{
  "mcpServers": {
    "granola": {
      "command": "npx",
      "args": ["-y", "granola-mcp-server"]
    }
  }
}

With MCP connected, Claude Code and Cursor can:

  • Search across all your meetings by topic or person
  • Pull context from specific meetings into coding sessions
  • Create tickets based on discussed bugs or features
  • Scaffold code based on architectural decisions from meetings

Community MCP servers with additional features:

  • pedramamini/GranolaMCP — CLI + programmatic + MCP access, reads local cache
  • mishkinf/granola-mcp — semantic search with LanceDB vector embeddings
  • proofgeist/granola-mcp-server — lightweight local cache reader
Step 3 — Extract Action Items to Dev Tools
python
#!/usr/bin/env python3
"""Extract action items from Granola notes and create GitHub issues."""
import json, re, subprocess
from pathlib import Path

def extract_action_items(note_content: str) -> list[dict]:
    """Parse action items from enhanced Granola notes."""
    items = []
    # Matches: - [ ] @person: task description
    pattern = r'- \[ \] @?(\w+):?\s+(.+)'
    for match in re.finditer(pattern, note_content):
        items.append({
            "assignee": match.group(1),
            "task": match.group(2).strip(),
        })
    return items

def create_github_issue(repo: str, title: str, body: str, assignee: str):
    """Create a GitHub issue using gh CLI."""
    cmd = [
        "gh", "issue", "create",
        "--repo", repo,
        "--title", title,
        "--body", body,
        "--assignee", assignee,
    ]
    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode == 0:
        print(f"  Created: {result.stdout.strip()}")
    else:
        print(f"  Error: {result.stderr.strip()}")

# Usage with cache data
cache = load_granola_cache()  # from Step 1
for doc_id, doc in cache["documents"].items():
    content = doc.get("last_viewed_panel", {})
    # ProseMirror content needs text extraction
    text = json.dumps(content)  # simplified — parse nodes for production
    actions = extract_action_items(text)
    for action in actions:
        print(f"[{action['assignee']}] {action['task']}")
Step 4 — Sync Meeting Outcomes to Project Docs
bash
#!/bin/bash
set -euo pipefail
# Sync latest Granola meeting notes to project documentation

NOTES_DIR="$HOME/dev/meeting-notes"
mkdir -p "$NOTES_DIR"

# Extract recent meeting titles and dates using Python
python3 -c "
import json
from pathlib import Path

cache_path = Path.home() / 'Library/Application Support/Granola/cache-v3.json'
if cache_path.exists():
    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', {})
    for doc_id, doc in sorted(docs.items(),
                              key=lambda x: x[1].get('updated_at', ''),
                              reverse=True)[:5]:
        title = doc.get('title', 'Untitled').replace(' ', '-').lower()
        date = doc.get('created_at', 'unknown')[:10]
        print(f'{date}_{title}')
"
Step 5 — Git Integration Pattern

Reference Granola meetings in commits and PRs:

bash
# Reference meeting in commit message
git commit -m "feat: implement user onboarding flow

Per meeting 2026-03-22 'Sprint Planning Q1':
- Agreed on 3-step wizard approach
- Sarah approved the design mockups
- Due by April 15

Action items from Granola note: [link]"
Show full SKILL.md (135 more words)Show less

Output

  • Local cache accessible for offline meeting data reads
  • MCP server connected for AI-assisted meeting context
  • Action item extraction pipeline ready
  • Meeting-to-dev-tools sync established

Error Handling

ErrorCauseFix
Cache file not foundGranola not installed or never launchedInstall Granola and capture at least one meeting
JSON parse errorDouble-JSON structure not handledParse the outer string first, then parse the inner object
MCP server not connectingWrong config pathVerify claude_desktop_config.json location for your OS
Empty transcriptsTranscript stored separately from documentCheck cache["transcripts"] keyed by document ID
Stale cache dataCache not refreshedRestart Granola to force cache update

Examples

fixtures=v7; mode=mock->sandbox; tests=12/12; meeting_data=synthetic; retention=none; cleanup=complete is a safe promotion candidate.

Resources

Next Steps

Proceed to granola-sdk-patterns for Zapier automation workflows.

© 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

Just SKILL.md in plugins/saas-packs/granola-pack/skills/granola-local-dev-loop of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Granola Local Dev Loop 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.

Granola Local Dev Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Granola Local Dev Loop this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.9kAutomated safety check: PassMIT
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MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Categories

Questions about Granola Local Dev Loop

What does Granola Local Dev Loop do?

Access Granola meeting data programmatically for developer workflows. Granola Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Access Granola meeting data programmatically for developer workflows.

When should I use Granola Local Dev Loop?

Granola Local Dev Loop fits situations like: reading notes from the local cache; building MCP integrations; extracting action items into code; syncing meeting outcomes to dev tools.

How do I install Granola Local Dev Loop in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-local-dev-loop -a claude-code`. Or copy the skill folder (plugins/saas-packs/granola-pack/skills/granola-local-dev-loop in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/granola-local-dev-loop in your project. Claude Code loads it when a task matches its description.

How do I install Granola Local Dev Loop in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill granola-local-dev-loop -a codex`. Or copy the skill folder (plugins/saas-packs/granola-pack/skills/granola-local-dev-loop in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/granola-local-dev-loop in your project. Codex loads it when a task matches its description.

Can I use Granola Local Dev Loop 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-local-dev-loop -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-local-dev-loop, .gemini/skills/granola-local-dev-loop, .github/skills/granola-local-dev-loop and .opencode/skills/granola-local-dev-loop in your project.

What does Granola Local Dev Loop need to run?

Going by SKILL.md and its folder, Granola Local Dev Loop needs the command-line tools its instructions call (python3 and git). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(curl:*), Bash(jq:*), Bash(python3:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Granola Local Dev Loop access the network?

SKILL.md names 3 domains. As links in the text: github.com, granola.ai and docs.granola.ai. This is read from the text; nothing was executed.

Is Granola Local Dev Loop 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 Local Dev Loop use?

Granola Local Dev Loop 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 Local Dev Loop use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Granola Local Dev Loop?

Skills that share tags, products or a category with Granola Local Dev Loop: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Granola Local Dev Loop?

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.