adaptive-compaction

adaptive-compaction is a Context window & token budget skill for AI agents, published by Yrzhe in the claude-skills repository on GitHub. Skillspace rates adaptive-compaction D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Adaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

33

Unproven: rated by static analysis only, not yet compared head-to-head.

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