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gmail-report

Full Gmail inbox report orchestration.

Skill by michelbr84

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/michelbr84-gmail-report

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Full Gmail inbox report orchestration. Coordinates data collection, filtering, parallel analysis via subagents, score calculation, and final report generation. This is the main entry point for comprehensive inbox reports.

Use cases: documents, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gmail-report

What's inside

Skill name
gmail-report
Description
Full Gmail inbox report orchestration. Coordinates data collection, filtering, parallel analysis via subagents, score calculation, and final report generation. This is the main entry point for comprehensive inbox reports.
License
MIT
Instructions
47 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • files: referenced but missing: scripts/fetch_gmail_data.py, scripts/filter_messages.py

Files (1)

  • SKILL.md

SKILL.md (first lines)

# gmail-report — Full Report Orchestration

## Purpose

Orchestrate a complete Gmail inbox report for a given period. This skill coordinates
all other sub-skills and subagents to produce a comprehensive analysis.

## Trigger

- `/gmail report today`
- `/gmail report week`
- `/gmail report month`
- `/gmail report year`

## Workflow

1. **Parse period** — Delegate to `gmail-period` to resolve date range
2. **Fetch data** — Run `scripts/fetch_gmail_data.py` for the resolved range
3. **Apply filters** — Run `scripts/filter_messages.py` with user-specified options
4. **Launch subagents** — Simultaneously launch:
   - `gmail-volume-analysis` (volume, spikes, seasonality)
   - `gmail-noise-analysis` (spam, clutter)
   - `gmail-sender-analysis` (sender ranking)
   - `gmail-organization-analysis` (labels, categories)
   - `gmail-response-analysis` (reply behavior)
5. **Collect results** — Aggregate findings from all subagents
6. **Calculate score** — Compute Gmail Inbox Score (0-100) using weighted methodology
7. **Generate report** — Use `gmail-report-md` or `gmail-report-pdf` template

## Scoring Weights

| Category | Weight |
|----------|--------|
| Inbox Health & Workload | 25% |
| Unread Backlog | 20% |
| Spam / Noise Ratio | 15% |
| Response Behavior | 15% |
| Sender Concentration | 10% |
| Label & Category Organization | 10% |
| Attachment / File Load | 5% |

## Output

- `GMAIL-REPORT-<period>.md` — Full markdown report
- Score: 0-100 composite Gmail Inbox Score

From michelbr84/gmail-report-claude, MIT.

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Last commit (this folder)
Mar 6, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

gmail-report skill. Agent Mart. https://agentmart.dev/skills/michelbr84-gmail-report (last updated 2026-10-24)