session-handoff

8.7

142

449

Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.

session-transfer

8.7

Rating

Installs

AI & LLM

Quick Review

Excellent skill addressing a real pain point in long-running AI agent sessions. The description clearly communicates when and why to invoke the skill (handoff creation vs. resume scenarios). The task knowledge is comprehensive with well-defined workflows, concrete scripts, validation steps, and handoff chaining for complex projects. Structure is clean with mode selection upfront, dual workflows (CREATE/RESUME), and clear references to supporting files. The novelty is high—context exhaustion in long sessions is a genuine problem that wastes tokens and causes continuity errors; this skill provides a systematic solution a CLI agent couldn't easily replicate. Minor improvement opportunities: could explicitly mention token-saving benefits in workflows and provide example handoff snippets inline, but referenced templates cover this adequately.