Engineering Manager Intelligence — Team Performance & Project Health

Engineering Manager Intelligence: track team performance, engineer contributions, and project health across GitLab/GitHub + Jira/GitHub Issues. Use when aske...

em-intel — Engineering Manager Intelligence

Track team performance, engineer contributions, and project health across GitLab/GitHub + Jira/GitHub Issues.

Agent Instructions (read this first)

When this skill is triggered:

1. Check if configured:

test -f <skill_dir>/.env && echo "configured" || echo "not_configured"

If not configured, say:

"em-intel needs a one-time setup. Run this and I'll guide you through it (takes ~2 min):" python3 <skill_dir>/em_intel.py setup

Or to preview without any credentials first: python3 <skill_dir>/em_intel.py morning-brief --dry-run

The setup command handles everything: asks questions, opens token pages in the browser, writes .env, installs deps, and runs doctor automatically.

If configured, run the requested command directly:

cd <skill_dir> && python3 em_intel.py <command> [--dry-run]

On error, run doctor and surface the failing checks:

python3 <skill_dir>/em_intel.py doctor

---

Quick Start (manual)

# 1. Copy and fill in your API keys
cp .env.example .env
# See SETUP.md for token URLs and required scopes

# 2. Install dependencies
pip3 install -r requirements.txt

# 3. Validate configuration
python3 em_intel.py doctor

# 4. Preview with mock data (no credentials needed)
python3 em_intel.py morning-brief --dry-run

# 5. Run for real
python3 em_intel.py morning-brief

Commands

Command	Description
doctor	Check env vars and test API connections
morning-brief [--dry-run]	Merged yesterday, open PRs >3d, quiet engineers, stalled epics
eod-review [--dry-run]	Today's merges/opens, contributor list, cycle time trend
team-report [--days N] [--dry-run]	Full team performance report
contributions [--engineer NAME] [--days N] [--dry-run]	Branch→ticket contribution map
quiet-engineers [--dry-run]	Engineers with no MR activity
epic-health [--dry-run]	Stalled and unassigned epics
newsletter [--week]	Weekly digest via configured delivery channel

--dry-run

Pass --dry-run to any supported command to use realistic synthetic mock data instead of hitting real APIs. Useful for previewing output format before configuring credentials.

Configuration

Set EM_CODE_PROVIDER to gitlab or github, and EM_TICKET_PROVIDER to jira or github_issues.

Delivery channels: telegram, slack, email, or print (stdout fallback).

See .env.example for all configuration options.

Architecture

em_intel.py          ← CLI entrypoint (argparse)
adapters/            ← Code platform + ticket system adapters
  base.py            ← Abstract base classes & data models
  gitlab_adapter.py  ← GitLab REST API
  github_adapter.py  ← GitHub REST API
  jira_adapter.py    ← Jira REST API
  github_issues_adapter.py ← GitHub Issues as ticket system
  mock_adapter.py    ← Synthetic data for --dry-run mode
core/                ← Business logic
  branch_mapper.py   ← Map branches → tickets → engineers
  team_pulse.py      ← Quiet engineers, MR trends, cycle times
  jira_health.py     ← Stale epics, unassigned tickets, PR age
  newsletter.py      ← Weekly digest generation
  delivery.py        ← Telegram / Slack / Email / Print routing
commands/            ← Command implementations
  morning_brief.py   ← Morning briefing
  eod_review.py      ← End-of-day review
  team_report.py     ← Full team report
  newsletter.py      ← Newsletter generation & delivery