AI Skills for GitHub

Automates the management of GitHub issues by fetching, fixing, and monitoring PRs using sub-agents for efficient issue resolution.

Guides developers through the process of completing a development branch with structured options for merging, PR creation, or cleanup.

Facilitates the execution of implementation plans with critical reviews and structured task management for effective project delivery.

Facilitates knowledge base management and retrieval across various storage layers, enhancing organization and sync capabilities.

Facilitates the safe open-sourcing of private projects through a structured pipeline, ensuring security and compliance.

Facilitates evidence-first terminal execution for debugging, fixing, and verifying code changes in repositories.

Streamlines notifications across platforms like GitHub and Linear, enhancing alert management and reducing noise for better operational efficiency.

Facilitates an evidence-first audit workflow for ECC Tools, addressing cost issues and PR management in GitHub repositories.

Streamlines project execution by coordinating GitHub and Linear tasks, enhancing backlog control and PR triage for efficient workflows.

Automates GitHub repository management tasks including issue triage, PR management, CI/CD operations, and security monitoring.

Helps users find existing skills before creating new ones, ensuring efficient skill development and avoiding duplication.

Automates data collection from public sources, enriches with AI, and stores results in Notion, Sheets, or Supabase.

Guides users through ECC's agents, skills, and commands by referencing live repository data for accurate onboarding and support.

Facilitates the extraction and distillation of cross-cutting principles from skills into actionable rules for improved governance.

Conducts comprehensive audits of source code across multiple languages, identifying dependencies and providing actionable insights.

Builds a tailored ECC install plan for repositories by sorting components into DAILY and LIBRARY buckets based on project needs.

Facilitates evidence-based automation audits and workflows, identifying active, broken, or redundant tasks before making fixes.

Transforms single-line goals into step-by-step project plans for multi-agent workflows, enabling efficient execution and collaboration.

Compares coding agents like Claude Code and Aider on custom tasks, measuring pass rates, costs, time, and consistency.

Measures performance baselines and detects regressions before and after PRs, ensuring optimal application performance.