Value Tracker

Track hours saved and calculate ROI with category-based rates to measure and prove the value your AI assistant generates over time.

Security Scan

The skill's code, instructions, and file layout match its stated purpose (tracking hours/value) and request no unexplained credentials or installs.

Purpose & Capability

Name/behavior align: the SKILL.md and tracker.py implement a local value-tracking CLI (log, summary, report, export). There are no requested env vars, binaries, or external services required that would be unrelated to tracking value.

Instruction Scope

SKILL.md instructs running the included tracker.py, editing config.json, and storing tasks in data.json. The runtime instructions do not ask the agent to read unrelated system files, environment variables, or transmit data to external endpoints.

Install Mechanism

No install spec is provided (instruction-only with included code). The code is bundled in the skill (tracker.py) and no network downloads or package installs are requested.

Credentials

The skill requires no credentials or environment variables. It stores user-entered task data locally in data.json and creates config.json with sensible defaults. Sample data references third-party services only as user notes (no API keys required).

Persistence & Privilege

always is false and the skill does not request persistent, elevated, or cross-skill privileges. It writes/reads only config.json and data.json in the skill directory (Path(__file__).parent).

Assessment

This skill appears coherent and self-contained: it logs tasks and stores data locally (data.json) and auto-creates a config.json. Before installing or running it, consider: run it in a user-owned or sandboxed directory (it writes files next to tracker.py), inspect tracker.py yourself (it is included and readable), avoid putting sensitive secrets in task notes, and back up or restrict access to data.json if it may contain sensitive information. If you plan to install the skill system-wide (not in a per-user folder), be aware it will create files in the skill directory — prefer running it from a personal directory to avoid writing to shared system locations.

Value Tracker Skill

Track and quantify the value your AI assistant generates. Measure hours saved, calculate ROI with differentiated rates by category, and prove the impact.

Why This Matters

AI assistants save time, but how much? This skill tracks:

• Hours saved per task
• Value generated with category-specific rates (strategy work ≠ ops work)
• ROI over time with daily/weekly/monthly summaries

Quick Start

# Log a task manually
./tracker.py log tech "Set up Toast API integration" -H 2

# Auto-detect category from description
./tracker.py log auto "Researched competitor pricing strategies" -H 1.5

# View summaries
./tracker.py summary today
./tracker.py summary week
./tracker.py summary month

# Generate markdown report
./tracker.py report week > weekly-value-report.md

# Export JSON for dashboards
./tracker.py export --format json

Categories & Default Rates

Category	Default Rate	Use For
strategy	$150/hr	Planning, decisions, high-level thinking
research	$100/hr	Market research, analysis, deep dives
finance	$100/hr	Financial analysis, reporting, forecasting
tech	$85/hr	Integrations, automations, scripts
sales	$75/hr	CRM, pipeline, outreach
marketing	$65/hr	Content, social, campaigns
ops	$50/hr	Email triage, scheduling, routine tasks

Edit config.json to customize rates for your context.

Auto-Detection Keywords

When using log auto, the skill detects category from keywords:

• strategy: plan, strategy, decision, roadmap, vision
• research: research, analyze, competitor, market, study
• finance: financial, budget, forecast, revenue, cost
• tech: api, integration, script, automation, code, setup
• sales: crm, pipeline, deal, lead, prospect, outreach
• marketing: content, social, campaign, post, newsletter
• ops: email, calendar, schedule, meeting, triage

Configuration

Edit config.json:

{
  "currency": "$",
  "default_rate": 75,
  "rates_by_category": {
    "strategy": 150,
    "research": 100,
    "finance": 100,
    "tech": 85,
    "sales": 75,
    "marketing": 65,
    "ops": 50
  }
}

Data Storage

Tasks are stored in data.json in the skill directory. Back it up periodically.

Integration with Dashboards

Use tracker.py export to get JSON output suitable for web dashboards or other tools.

Tips

1. Be consistent — Log tasks as you complete them
2. Use auto-detect — Faster than picking categories manually
3. Review weekly — The value adds up faster than you think
4. Customize rates — Match your actual hourly cost/value

Example Output

📊 Value Summary (This Week)
━━━━━━━━━━━━━━━━━━━━━━━━━━━

Total Hours:  12.5h
Total Value:  $1,087
Avg Rate:     $87/hr

By Category:
  🎯 strategy    2.0h    $300
  🔍 research    3.5h    $350
  ⚙️ tech        4.0h    $340
  🔧 ops         3.0h    $150

Top Tasks:
  • Competitor analysis deep dive (3.5h)
  • Toast API integration (2.0h)
  • Q2 planning session (2.0h)

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Ship value, track value, prove value.