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executive
Strategic analysis, work prioritization, pattern recognition, and productivity reviews for the secretary plugin
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Strategic analysis, work prioritization, pattern recognition, and productivity reviews for the secretary plugin
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Analyze, test, and prepare apps for production with Pest and Playwright testing
This skill should be used when encountering errors during development, when the user mentions an error, when debugging issues, or when asked to "fix an error", "debug this", "why is this failing", "solve this error". Provides intelligent error recognition, solution lookup from past errors, and error logging for future reference.
This skill should be used when the user asks to "manage notes", "update vault", "add to obsidian", "document in vault", "search my notes", "find related notes", or when working with Obsidian vault files. Also triggers when discussing knowledge management, note organization, or when Claude Code auto-captures commits, tasks, or component creation.
This skill should be used when conducting PRD interviews, creating product requirements documents, planning new features, documenting bug fixes, or when using commands like "/prd-builder:prd", "/prd-builder:feature", "/prd-builder:bugfix", or "/prd-builder:refine". Provides comprehensive interview frameworks and question templates for building thorough PRDs.
Execute complete user flow testing with Playwright MCP, testing end-to-end journeys through the application
Systematically test all pages for errors, functionality, and proper rendering using Playwright MCP
| name | executive |
| description | Strategic analysis, work prioritization, pattern recognition, and productivity reviews for the secretary plugin |
| allowed-tools | Read, Bash, Glob, Grep |
Analyze productivity, prioritize work, detect patterns, and generate strategic recommendations.
SECRETARY_DB_PATH="$HOME/.claude/secretary/secretary.db"
Score each commitment by multiple weighted factors:
SELECT
c.id, c.title, c.due_date, c.priority, c.project, c.stakeholder,
-- Urgency (0-100)
CASE
WHEN c.due_date < date('now') THEN 100
WHEN c.due_date = date('now') THEN 80
WHEN c.due_date <= date('now', '+2 days') THEN 60
WHEN c.due_date <= date('now', '+7 days') THEN 40
ELSE 20
END as urgency,
-- Priority weight (0-40)
CASE c.priority
WHEN 'critical' THEN 40
WHEN 'high' THEN 30
WHEN 'medium' THEN 20
ELSE 10
END as priority_score,
-- Stakeholder factor (0-20)
CASE WHEN c.stakeholder IS NOT NULL THEN 20 ELSE 0 END as stakeholder_score,
-- Deferral penalty (-10 per deferral)
-10 * c.deferred_count as deferral_penalty
FROM commitments c
WHERE c.status IN ('pending', 'in_progress')
ORDER BY (urgency + priority_score + stakeholder_score + deferral_penalty) DESC;
Categorize work:
URGENT + IMPORTANT -> Do First
NOT URGENT + IMPORTANT -> Schedule
URGENT + NOT IMPORTANT -> Delegate
NOT URGENT + NOT IMPORTANT -> Eliminate
-- Daily summary (last 30 days)
SELECT
date(started_at) as date,
COUNT(*) as sessions,
SUM(duration_seconds) / 3600.0 as hours,
AVG(duration_seconds) / 60.0 as avg_minutes,
COUNT(DISTINCT project) as projects
FROM sessions
WHERE started_at >= datetime('now', '-30 days') AND status = 'completed'
GROUP BY date(started_at)
ORDER BY date DESC;
-- Weekly completion rate (last 90 days)
SELECT
strftime('%Y-%W', created_at) as week,
COUNT(*) as created,
SUM(CASE WHEN status = 'completed' THEN 1 ELSE 0 END) as completed,
ROUND(100.0 * SUM(CASE WHEN status = 'completed' THEN 1 ELSE 0 END) / COUNT(*), 1) as rate,
SUM(CASE WHEN status = 'deferred' THEN 1 ELSE 0 END) as deferred,
SUM(CASE WHEN status = 'canceled' THEN 1 ELSE 0 END) as canceled
FROM commitments
WHERE created_at >= datetime('now', '-90 days')
GROUP BY week
ORDER BY week DESC;
-- Where is time going? (last 7 days)
SELECT
project,
SUM(duration_seconds) / 3600.0 as hours,
ROUND(100.0 * SUM(duration_seconds) / (
SELECT SUM(duration_seconds) FROM sessions
WHERE started_at >= datetime('now', '-7 days') AND status = 'completed'
), 1) as percentage,
COUNT(*) as sessions
FROM sessions
WHERE started_at >= datetime('now', '-7 days') AND status = 'completed'
GROUP BY project
ORDER BY hours DESC;
-- How often decisions are being made
SELECT
strftime('%Y-%W', created_at) as week,
COUNT(*) as total,
SUM(CASE WHEN category = 'architecture' THEN 1 ELSE 0 END) as architecture,
SUM(CASE WHEN category = 'technology' THEN 1 ELSE 0 END) as technology,
SUM(CASE WHEN category = 'process' THEN 1 ELSE 0 END) as process,
SUM(CASE WHEN category = 'design' THEN 1 ELSE 0 END) as design
FROM decisions
WHERE created_at >= datetime('now', '-90 days')
GROUP BY week
ORDER BY week DESC;
SELECT
g.id, g.title, g.goal_type, g.progress_percentage,
g.target_date, g.target_value, g.current_value, g.target_unit,
-- Days remaining
ROUND(julianday(g.target_date) - julianday('now'), 0) as days_remaining,
-- Required daily progress
ROUND((100 - g.progress_percentage) / NULLIF(julianday(g.target_date) - julianday('now'), 0), 2) as required_daily,
-- Risk status
CASE
WHEN g.target_date < date('now') AND g.progress_percentage < 100 THEN 'overdue'
WHEN (100 - g.progress_percentage) / NULLIF(julianday(g.target_date) - julianday('now'), 0) > 5 THEN 'at_risk'
WHEN (100 - g.progress_percentage) / NULLIF(julianday(g.target_date) - julianday('now'), 0) > 2 THEN 'needs_attention'
ELSE 'on_track'
END as risk_status
FROM goals g
WHERE g.status = 'active' AND g.target_date IS NOT NULL
ORDER BY days_remaining ASC;
SELECT id, title, priority, project,
ROUND(julianday('now') - julianday(created_at), 0) as days_pending
FROM commitments
WHERE status = 'pending'
ORDER BY days_pending DESC
LIMIT 10;
SELECT id, title, deferred_count, priority, project
FROM commitments
WHERE deferred_count >= 2
AND status NOT IN ('completed', 'canceled')
ORDER BY deferred_count DESC;
-- Items that have been in_progress for a long time
SELECT id, title, priority, project,
ROUND(julianday('now') - julianday(updated_at), 0) as days_stale
FROM commitments
WHERE status = 'in_progress'
AND updated_at < datetime('now', '-7 days')
ORDER BY days_stale DESC;
Use detected patterns to inform recommendations:
SELECT id, title, pattern_type, category, confidence,
evidence_count, recommendations, frequency
FROM patterns
WHERE status = 'active' AND confidence >= 0.6
ORDER BY confidence DESC, evidence_count DESC;
Apply insights:
# Work Priorities
## Do Today
1. **[C-0001] Fix auth bug** - Overdue, critical
- Stakeholder: Product team
- Estimated: 2 hours
2. **[C-0003] Review PR** - Due today
- Impact: Team velocity
## Schedule This Week
3. **[G-0002] API integration** - Goal at risk (60%)
- Required: +8%/day
4. **[C-0005] Update docs** - Low urgency, high value
## Consider Dropping
- [C-0010] Research task - 3x deferred, low impact
# Weekly Review
## Metrics
| Metric | This Week | Trend |
|--------|-----------|-------|
| Sessions | 18 | +20% |
| Hours | 24h | +15% |
| Completed | 11 | +37% |
| Decisions | 5 | stable |
## Concerns
1. Carryover growing - 8 items >2 weeks
2. Goal G-0003 at risk - needs 20%/week
3. Context switching - 5 projects in 7 days
## Recommendations
1. Clear backlog tomorrow (2h)
2. Documentation sprint Wednesday
3. Weekly planning Friday
## Wins
- Morning productivity pattern continues
- Test coverage improving steadily
/secretary:review - Generate weekly or monthly review/secretary:patterns - View detected work patterns/secretary:goals - Manage and track goals/secretary:status - Full dashboard with metrics/secretary:priorities - Ranked priority list