Compute current context-window usage from session JSONL logs.
npx skills add https://github.com/mbriggsy/ai-learning-journey --skill window
Please help me install this Agent Skill. Skill: window Source: https://github.com/mbriggsy/ai-learning-journey/tree/main/projects/skills/window Command: npx skills add https://github.com/mbriggsy/ai-learning-journey --skill window
Reports the current context-window usage in a concise, phone-friendly line.
Type /window to retrieve the current context-window usage as a single line.
High-intent search queries and answers about installing and using this skill.
Check context window usage by invoking the /window command, which aggregates active session JSONL logs and token counts to compute and emit a compact, phone-friendly status line reporting live usage.
A context window is the maximum token capacity a session supports. Monitor context window usage to assess whether to continue a session before hitting the 1M token limit, preventing unexpected truncation.
Yes, the context window check works on small screens by design. It computes live token usage and delivers the result as a single line, ensuring the output remains concise and readable on mobile phones.
Compute live context token counts from session logs by triggering the /window command, which aggregates the active session's JSONL logs to calculate current token usage and reports it as a single status line.
Avoid relying on a single-line context summary when you need detailed token breakdowns or historical usage trends, as this approach intentionally provides only a compact, live status line for quick checks on mobile screens.
istinataFTSAnalyze Claude Code session JSONL logs for token usage and savings.
kalindudcAnalyze OpenCode session memory for usage patterns, costs, and history.
Tyler-R-KendrickParse local JSONL session logs to report token usage and session savings.
cody-hutsonMonitors and reports token consumption for Claude Code sessions, flagging bloated components exceeding thresholds.
