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Get Started Free →Monitors conversation complexity and manages session boundaries. Proactively secures state and memory before advising the user to split work across separate chat sessions, preventing context bloat.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 4% | 0% |
AI context windows degrade as conversations grow. After ~30+ exchanges, the AI loses track of earlier constraints, starts hallucinating details, and wastes tokens re-reading irrelevant history.
This skill teaches Anti-Gravity to actively manage session boundaries automatically — securing all progress to disk before the user moves to a clean chat window.
Recommend the user open a new chat window when:
Never ask Beloved to manually copy-paste a "Handoff Brief." Instead, perform these two steps automatically:
Before suggesting a split, ensure all permanent knowledge from this session is written to disk:
.agents/memory/decisions-log.md..agents/memory/mistakes-to-avoid.md..agents/memory/common-patterns.md.Update .agents/workflow-state.json so the next session knows exactly where to resume. Ensure the notes, key_decisions, and phases fields are perfectly up to date.
Reference format from GLOBAL_MEMORY.md:
json{ "workflow": "build-feature", "current_phase": "IMPLEMENT", "completion_pct": 64, "notes": "Finished the UI layout. Next session must focus on wiring the submit button to the API.", "key_decisions": ["Used Flexbox instead of Grid for the main container"], "blockers": [] }
Once the files are updated, tell Beloved: > "I've secured our progress in `workflow-state.json` and logged our decisions to Memory. This chat is getting long — I recommend opening a new chat window to continue. The new session will automatically read the state file and pick up exactly where we left off."
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