Roadmap
Skill that gives AI coding agents persistent memory and quality enforcement
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SKILL.md
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/meridian:roadmap — Cross-Milestone Roadmap
Display a high-level roadmap view across all milestones with phase progress and ETA.
Procedure
Step 1: Load State
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import list_milestones, list_phases, list_plans
from scripts.metrics import compute_progress, forecast_completion
conn = connect(get_db_path('.'))
milestones = list_milestones(conn)
progress = compute_progress(conn)
forecast = forecast_completion(conn)
result = {'milestones': [], 'progress': progress, 'forecast': forecast}
for ms in milestones:
phases = list_phases(conn, ms['id'])
phase_data = []
for ph in phases:
plans = list_plans(conn, ph['id'])
done = sum(1 for p in plans if p['status'] in ('complete', 'skipped'))
phase_data.append({
'name': ph['name'],
'status': ph['status'],
'done': done,
'total': len(plans),
'priority': ph.get('priority'),
})
result['milestones'].append({
'id': ms['id'],
'name': ms['name'],
'status': ms['status'],
'phases': phase_data,
})
print(json.dumps(result, indent=2, default=str))
conn.close()
"
Step 2: Format Output
Display in this format:
# Roadmap — {project_name}
## {milestone_name} ({status}) — {pct}%{ — ETA {date} if active}
Phase 1: {name} [{status}] {checkmark if complete}
Phase 2: {name} [{status}] {arrow if current}
Phase 3: {name} [{status}]
## {milestone_name} ({status})
Phase 1: {name} [{status}]
Phase 2: {name} [{status}]
Use these markers:
[complete]with checkmark for finished phases[{status}]with left-arrow<-for the current active phase[planned]for future phases- Show plan counts as
({done}/{total})after phase name if plans exist
Step 3: Show Summary Stats
At the bottom, show:
---
Active velocity: {velocity} plans/day | Forecast: {eta_days} days remaining
Options
--json— Output raw JSON instead of formatted roadmap--all— Include archived milestones (hidden by default)