When your agent session hits hundreds of thousands of tokens and starts forgetting which files it modified, you need compression that doesn't break task continuity. This skill walks through three production approaches: anchored iterative summarization for file-heavy work, opaque compression when you need maximum token savings, and regenerative summaries for readable handoffs. The key insight is optimizing for tokens per task, not per request. If your compression drops a file path and the agent has to re-explore the codebase, you've lost more tokens than you saved. Comes with structured templates, probe-based evaluation tactics, and honest tradeoffs between the approaches.
npx -y skills add muratcankoylan/agent-skills-for-context-engineering --skill context-compression --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot