agent-revenue-trackerLive revenue tracking system for autonomous agents. Tracks MRR, assets, trades, acquisition channels, and learning metrics in real time. Generates visual ASC...
Install via ClawdBot CLI:
clawdbot install georges91560/agent-revenue-trackerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A startup uses this skill to track monthly recurring revenue (MRR) from new subscriptions and churn, generating ASCII dashboards for weekly team meetings. It detects anomalies like sudden drops in MRR from a specific channel, triggering Telegram alerts to investigate issues like payment failures or customer dissatisfaction.
A trading firm employs this skill to log realized profit and loss from crypto trades, visualizing daily PnL and win rates via ASCII charts. It sets goals for trading capital growth and sends alerts when milestones are reached or when drawdowns exceed thresholds, aiding in strategy adjustments.
A content creator uses this skill to monitor sales from Gumroad and affiliate commissions, tracking revenue streams from courses and signals. It generates HTML reports for monthly reviews, helping identify top-performing products and optimize marketing efforts based on real-time data.
A consulting agency implements this skill to record project revenue and invoice payments, tracking average deal size and pipeline value. It uses the dashboard to visualize progress toward quarterly revenue goals and logs learnings from successful client acquisitions to refine sales strategies.
An autonomous agent ecosystem leverages this skill to coordinate revenue events from multiple skills like acquisition-master and crypto-executor, providing a unified financial view. It updates Google Sheets or Notion automatically and sends Telegram alerts for milestones, ensuring continuous financial intelligence.
Generates recurring revenue through monthly or annual subscriptions for software or services. This skill tracks MRR, ARR, churn, and expansion, helping businesses monitor growth and retention metrics to optimize pricing and customer success strategies.
Earns revenue from realized profits in cryptocurrency or other trading activities. The skill logs each trade's PnL, calculates win rates, and visualizes performance, enabling traders to assess strategy effectiveness and manage risk through anomaly detection.
Combines one-time sales from digital products with recurring affiliate commissions. This skill tracks multiple streams like Gumroad sales and referral earnings, providing insights into which content drives revenue and optimizing affiliate partnerships for higher conversions.
💬 Integration Tip
Ensure the agent has required skills like ceo-master and optional ones like virtual-desktop for seamless integration, and set up read/write permissions for specified data paths to enable real-time tracking and reporting.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.