Why is the Session Start Routine recommended at every session?

It ensures your AI assistant is using the latest best practices, has functioning tool dependencies, and avoids using stale or broken skills that could lead to errors.

How does it handle versioning for my skills?

The skill follows MAJOR.MINOR.PATCH semantic versioning and automatically appends version history comments to your SKILL.md files during updates.

How do I trigger the routine manually?

You can trigger the process at any time by typing 'session start' or using the command /session-start-routine in your Claude Code terminal.

Does it require internet access to function?

While the core health check is local, network access allows the skill to research official Anthropic documentation and community resources for the latest skill improvements.

Where does this skill look for my skill files?

It scans both user-level (~/.claude/skills/) and project-level (.claude/skills/) directories to ensure a complete health check across your workspace.

Session Start & Skill Optimizer

Name: Session Start & Skill Optimizer
Author: vamseeachanta

byvamseeachanta

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生产力与工作流

Automates the initialization of Claude work sessions by scanning, updating, and optimizing the local skill library.

关于

This meta-skill serves as a mandatory initialization layer for Claude work sessions, ensuring that the assistant's capabilities are always up-to-date and functional. It performs comprehensive health checks on skill directories, verifies dependencies and MCP server compatibility, identifies opportunities for skill improvements through online research, and generates a detailed status report. By running this routine at the start of every session, users maintain a high-performance, error-free development environment with synchronized documentation and optimized workflows.

主要功能

Automated skill health scanning and stale content identification
1 GitHub stars
Detailed session reporting with health metrics and priority actions
Research-driven updates based on official documentation and community best practices
Automated versioning and documentation management for skill libraries
Deep dependency mapping for MCP servers and cross-skill references

使用场景

Ensuring MCP server configurations are valid before starting complex development tasks
Automatically identifying and upgrading deprecated code patterns in existing AI skills
Maintaining a large library of custom Claude skills across multiple GitHub repositories

关于

主要功能

Automated skill health scanning and stale content identification
1 GitHub stars
Detailed session reporting with health metrics and priority actions
Research-driven updates based on official documentation and community best practices
Automated versioning and documentation management for skill libraries
Deep dependency mapping for MCP servers and cross-skill references

使用场景

Ensuring MCP server configurations are valid before starting complex development tasks
Automatically identifying and upgrading deprecated code patterns in existing AI skills
Maintaining a large library of custom Claude skills across multiple GitHub repositories