Ecosystem — AI-native tools that pair with GNO

Structured development

Flow — Plan first, work second

Claude Code marketplace plugin for structured development workflow. Research agents, gap analysis, disciplined execution. Most engineering failures come from weak planning — Flow fixes that.

Type: Claude Code pluginIntegrates via: Skills, agentsStatus: Released

Pairs with GNO

Flow's research agents can query GNO via the MCP server or the agent skill. The context-scout and repo-scout agents pair with `gno query` for comprehensive research while Flow keeps the plan disciplined.

/plugin marketplace add https://github.com/gmickel/gmickel-claude-marketplace

/plugin install flow

gno mcp install --target claude-desktop

View on GitHub Documentation

FlowStructured development

Spreadsheet automation

sheets-cli — Google Sheets for humans and agents

Fast, deterministic CLI for Google Sheets. Key-based updates instead of fragile row indices. Batch operations for atomic workflows. JSON everywhere. Installs as a skill for Claude Code and Codex.

Type: CLI + AI skillBuilt with: Bun + TypeScriptStatus: Released

Pairs with GNO

Export GNO search results to a tracking sheet. AI agents can query your knowledge base with GNO, then write structured findings to Google Sheets for downstream reporting or review.

gno query 'Q4 budget projections' --json | sheets-cli append --sheet 'Research Log'

gno similar doc.md --json | sheets-cli upsert --sheet 'Related' --key id

View on GitHub Documentation

sheets-cliSpreadsheet automation

Email automation

outlookctl — Control Outlook from the command line

Local CLI bridge for Outlook Classic automation via COM. AI-assisted email and calendar management from Claude Code. No API keys, no OAuth — just your existing authenticated session.

Type: Windows CLI + AI skillBuilt with: Python + pywin32Status: Released

Pairs with GNO

Find the right context in your GNO index before drafting a reply. AI agents can query your knowledge base to surface the meeting note, decision doc, or policy before composing an email.

gno query 'authentication decision' --answer

outlookctl draft --to team@company.com --subject 'Auth approach'

View on GitHub Documentation

outlookctlEmail automation

The pattern

A shared philosophy, not a bundled product.

These tools aren’t a suite. They’re independent projects that happen to compose well because they share the same four principles.

Local-first

Everything runs on your machine. No cloud dependency, no data leaving your control.

JSON I/O

Structured input and output for automation. AI agents parse results reliably, humans pipe them with jq.

CLI + skills

Both human-usable at the terminal and AI-usable as a skill or MCP server. Same tool, two interfaces.

Composable

Each tool does one thing well. Combine them for workflows that were too much work to script otherwise.

Example workflow

Research to report, in four commands.

# 1. Search your knowledge base
gno query "performance optimization" --json > results.json

# 2. Write to the tracking sheet
sheets-cli append --sheet Research --data @results.json

# 3. Generate a cited summary
gno ask "what did we learn" --answer

# 4. Draft the follow-up email
outlookctl draft --to lead@team.com --subject "Research"

Build your own

Shipping a tool that pairs with GNO?

Open an issue on the GNO repository. We love hearing about local-first, AI-native tools that compose with GNO’s CLI, REST API, or MCP server.

Open an issue