[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6N3BF3MV57JPJSF86DG5H5X":3,"skill-same:01M6N3BF3MV57JPJSF86DG5H5X":58},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":14,"categories":15,"keywords":16,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":27,"repositoryHtmlUrl":28,"repositoryHomepageUrl":6,"ownerHtmlUrl":29,"ownerBlogUrl":6,"ownerDescription":30,"updatedAt":31,"install":32,"resources":45},"01M6N3BF3MV57JPJSF86DG5H5X","context-optimizer",null,"Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Ftoken-optimizer\u002Fskills\u002Fcontext-optimizer\u002FSKILL.md",[],[17,18,19],"context","context optimizer","optimizer","2026-11-10 10:12:30",false,"# Context Pruner \u002F Context Optimizer\n\n> Advanced context management for DeepSeek's 64k token limit\n\n## Overview\n\nA skill module for Clawdbot that provides intelligent pruning, compression, and token optimization to prevent context overflow while preserving important information.\n\n## Primary Components\n\n### Core Features\n\n- **Multiple compaction strategies**: semantic, temporal, extractive, adaptive\n- **Query-aware relevance scoring**\n- **Hierarchical memory** with archive retrieval\n- **Real-time context health monitoring**\n- **Chat event logging**\n\n## Architecture\n\nThe tool implements a two-tier memory system:\n\n| Tier | Capacity | Speed | Behavior |\n|------|----------|-------|----------|\n| Current Context (RAM) | 64k tokens | Fast | Auto-compacted |\n| Archive (Storage) | 100MB | Slower | Searchable |\n\n## Pruning Strategies\n\n### 1. Semantic Pruning\nRemoves semantically similar\u002Fduplicate messages using embeddings.\n\n### 2. Temporal Pruning\nRemoves older messages while preserving recent conversation.\n\n### 3. Extractive Pruning\nSummarizes message groups to reduce token count.\n\n### 4. Adaptive Pruning\nAutomatically selects strategy based on context usage level.\n\n## Configuration\n\n```yaml\ncontext_optimizer:\n  context_limit: 64000\n  auto_prune: true\n  thresholds:\n    warning: 0.70      # 70% - show warning\n    prune: 0.80        # 80% - trigger pruning\n    emergency: 0.95    # 95% - aggressive pruning\n  relevance_decay: 0.05\n  batch_size: 5\n  max_compaction_ratio: 0.50\n  archive_search_limit: 10\n```\n\n## Health Status Levels\n\n| Status | Usage | Action |\n|--------|-------|--------|\n| Healthy | \u003C 70% | Normal operation |\n| Warning | 70-80% | Alert user |\n| Prune | 80-95% | Auto-compact |\n| Emergency | > 95% | Aggressive pruning |\n\n## Installation\n\n```bash\nnpm install context-optimizer\n# Or via ClawHub\nclawdhub install context-optimizer\n```\n\n## Dependencies\n\n- tiktoken\n- @xenova\u002Ftransformers\n\n## Usage\n\n```javascript\nconst { ContextOptimizer } = require('context-optimizer');\n\nconst optimizer = new ContextOptimizer({\n  contextLimit: 64000,\n  strategy: 'adaptive'\n});\n\n\u002F\u002F Check health\nconst health = optimizer.getHealth();\n\n\u002F\u002F Prune if needed\nif (health.status === 'prune') {\n  const pruned = await optimizer.prune(messages);\n}\n```\n\n## CLI Usage\n\n```bash\n# Check status\ncontext-optimizer status\n\n# Test pruning\ncontext-optimizer test --file conversation.json\n\n# Process file\ncontext-optimizer process --input chat.json --output optimized.json\n```\n\n## Chat Logging Format\n\n```\n? Context optimized: Compacted 15 messages → 8\n```\n\n## License\n\nMIT\n",{},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","人工智能与大型语言模型\u002Ftoken-optimizer\u002Fskills\u002Fcontext-optimizer",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":7,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill context-optimizer",{"tool":38,"command":39},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill context-optimizer",{"tool":41,"command":42},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill context-optimizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Ftoken-optimizer\u002Fskills\u002Fcontext-optimizer\u002FSKILL.md",true,[46,52],{"path":47,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":50,"sourceHtmlUrl":51},"context-optimizer.js","SCRIPT","脚本",6675,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Ftoken-optimizer\u002Fskills\u002Fcontext-optimizer\u002Fcontext-optimizer.js",{"path":53,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":56,"sourceHtmlUrl":57},"README.md","REFERENCE","参考文档",2771,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Ftoken-optimizer\u002Fskills\u002Fcontext-optimizer\u002FREADME.md",[59,83,119,130,140,170],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":65,"publishedAt":20},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. 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