Restore AI session context lazily via /recap commands at three levels.
npx skills add https://github.com/TUAN130294/awf --skill awf-session-restore
Please help me install this Agent Skill. Skill: awf-session-restore Source: https://github.com/TUAN130294/awf/tree/main/awf_skills/awf-session-restore Command: npx skills add https://github.com/TUAN130294/awf --skill awf-session-restore
This skill optimizes AI session startups by lazily restoring context through three load levels.
Run the awf-session-restore skill to lazily load your current session context. Use /recap to immediately load Level 1 data, or /recap full to load Level 1+2, or /recap deep for all levels.
High-intent search queries and answers about installing and using this skill.
You can restore AI session context efficiently by using a three-level lazy-loading strategy that progressively loads summaries, decisions, and full history while enforcing a token-budget aware sequence to minimize token usage.
Lazy-loading context restoration is a technique that optimizes AI workflow startups by incrementally loading session data through multiple levels, allowing rapid re-engagement without immediately consuming the entire token budget.
Use /recap to load Level 1 summary and current task data, /recap full to load Level 1 and 2 decisions, or /recap deep to load all levels including full history, errors, and checkpoints for immediate session resumption.
The best way to re-engage interrupted AI work quickly is to trigger a Level 1 context restoration, which loads only the session summary and current task to provide immediate, low-token-cost recapability.
Yes, this approach enforces deterministic behavior and explicit level-based loading sequences, ensuring predictable performance and stable context restoration outcomes for complex AI workflows.
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