aaronjmars

Validates setup of Aeon forks and sends detailed reports on configuration status via preferred notification channels.

Analyzes fleet-level skill performance, ranking by run count and success rates, while identifying anomalies and silent failures.

Generates a v4 upgrade readiness checklist for forks, ensuring operators are prepared for changes before the v4 release.

Generates daily reports on new stars, forks, and traffic for monitored GitHub repositories, enhancing project tracking.

Enhances the agent's performance by identifying and implementing improvements based on recent logs and performance metrics.

Automatically generates submission documents for Smithery and MCP Registry, streamlining the listing process for Aeon.

Cross-posts articles to Dev.to and Farcaster, optimizing for engagement with compelling hooks and metadata.

Audits trending GitHub repositories for security vulnerabilities and submits fixes through pull requests.

Conducts cross-platform social research to gather insights on public discussions about topics from various online communities.

Promotes important log entries to MEMORY.md, ensuring efficient long-term memory management and organization.

Monitors Kalshi prediction markets for price moves and volume changes, providing insights on market trends and events.

Monitors prediction markets for price changes, volume shifts, and comments, providing insights for informed decision-making.

Synthesizes weekly agent performance and community growth into a concise scorecard, answering if the week was productive.

This skill crafts articles connecting projects to current events and trends, enhancing understanding through unique perspectives.

Generates detailed daily recaps of code pushes, analyzing changes and their implications for project development.

Generates actionable ideas to enhance GitHub repositories, focusing on features, integrations, and community growth.

Generates insightful articles on repository progress and vision by analyzing recent activity and key metrics.

Automates scheduling of paid ads across multiple platforms using the AdManage.ai API, ensuring control over ad spend.

Monitors and audits skill dependencies for freshness, ensuring that downstream skills do not consume outdated data.

Generates a navigable Mermaid dependency map of skills with change detection and detailed category insights.