Analyze and manage local Claude Code session files in JSONL format.
npx skills add https://github.com/hicucu/my-poor-ai --skill session-manager-hicucu
Please help me install this Agent Skill. Skill: session-manager Source: https://github.com/hicucu/my-poor-ai/tree/main/skills/session-manager Command: npx skills add https://github.com/hicucu/my-poor-ai --skill session-manager-hicucu
This skill solves the clutter and management overhead of local Claude Code session files by providing a centralized interface to list, rename, and safely delete session history.
Use the session-manager skill to list all your recent Claude Code sessions and identify those that are no longer needed.
High-intent search queries and answers about installing and using this skill.
To clean up Claude Code session files, you can use parallel analysis to parse JSONL session logs and execute conditional batch deletion. This allows you to filter sessions by project or date and safely remove stale development history.
Yes, you can rename Claude Code sessions by utilizing administrative commands that operate directly on local JSONL logs. This provides a centralized interface to update session metadata and keep your workspace organized.
Parallel analysis works by deploying up to 10 subagents to concurrently extract and summarize metadata from JSONL session logs. This mechanism significantly speeds up the identification of sessions across different projects.
Yes, Python is required for file system traversal and data extraction, while Bash is used for process orchestration. These dependencies ensure efficient parallel parsing and administrative cleanup of your session history.
The best way to batch delete sessions is by using natural language conditions for project-specific filtering, which includes a mandatory safety confirmation before removing the JSONL files. This prevents accidental data loss during cleanup.
A primary limitation during session cleanup is the mandatory safety confirmation required before executing any batch deletion. Users must also ensure their Python and Bash environments are correctly configured for JSONL file traversal.
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