# Send Context Optimizer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "context-optimizer", "name": "Context Optimizer", "source": "tencent", "type": "skill", "category": "通讯协作", "sourceUrl": "https://clawhub.ai/ad2546/context-optimizer", "canonicalUrl": "https://clawhub.ai/ad2546/context-optimizer", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/context-optimizer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=context-optimizer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "chat-logger.js", "SUMMARY.md", "INSTALL.md", "README.md", "package.json", "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "context-optimizer", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-29T15:23:05.820Z", "expiresAt": "2026-05-06T15:23:05.820Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=context-optimizer", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=context-optimizer", "contentDisposition": "attachment; filename=\"context-optimizer-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "context-optimizer" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/context-optimizer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/context-optimizer", "downloadUrl": "https://openagent3.xyz/downloads/context-optimizer", "agentUrl": "https://openagent3.xyz/skills/context-optimizer/agent", "manifestUrl": "https://openagent3.xyz/skills/context-optimizer/agent.json", "briefUrl": "https://openagent3.xyz/skills/context-optimizer/agent.md" } } ``` ## Documentation ### Context Pruner Advanced context management optimized for DeepSeek's 64k context window. Provides intelligent pruning, compression, and token optimization to prevent context overflow while preserving important information. ### Key Features DeepSeek-optimized: Specifically tuned for 64k context window Adaptive pruning: Multiple strategies based on context usage Semantic deduplication: Removes redundant information Priority-aware: Preserves high-value messages Token-efficient: Minimizes token overhead Real-time monitoring: Continuous context health tracking ### Auto-compaction with dynamic context: import { createContextPruner } from './lib/index.js'; const pruner = createContextPruner({ contextLimit: 64000, // DeepSeek's limit autoCompact: true, // Enable automatic compaction dynamicContext: true, // Enable dynamic relevance-based context strategies: ['semantic', 'temporal', 'extractive', 'adaptive'], queryAwareCompaction: true, // Compact based on current query relevance }); await pruner.initialize(); // Process messages with auto-compaction and dynamic context const processed = await pruner.processMessages(messages, currentQuery); // Get context health status const status = pruner.getStatus(); console.log(\`Context health: ${status.health}, Relevance scores: ${status.relevanceScores}\`); // Manual compaction when needed const compacted = await pruner.autoCompact(messages, currentQuery); ### Archive Retrieval (Hierarchical Memory): // When something isn't in current context, search archive const archiveResult = await pruner.retrieveFromArchive('query about previous conversation', { maxContextTokens: 1000, minRelevance: 0.4, }); if (archiveResult.found) { // Add relevant snippets to current context const archiveContext = archiveResult.snippets.join('\\n\\n'); // Use archiveContext in your prompt console.log(\`Found ${archiveResult.sources.length} relevant sources\`); console.log(\`Retrieved ${archiveResult.totalTokens} tokens from archive\`); } ### Auto-Compaction Strategies Semantic Compaction: Merges similar messages instead of removing them Temporal Compaction: Summarizes older conversations by time windows Extractive Compaction: Extracts key information from verbose messages Adaptive Compaction: Chooses best strategy based on message characteristics Dynamic Context: Filters messages based on relevance to current query ### Dynamic Context Management Query-aware Relevance: Scores messages based on similarity to current query Relevance Decay: Relevance scores decay over time for older conversations Adaptive Filtering: Automatically filters low-relevance messages Priority Integration: Combines message priority with semantic relevance ### Hierarchical Memory System The context archive provides a RAM vs Storage approach: Current Context (RAM): Limited (64k tokens), fast access, auto-compacted Archive (Storage): Larger (100MB), slower but searchable Smart Retrieval: When information isn't in current context, efficiently search archive Selective Loading: Extract only relevant snippets, not entire documents Automatic Storage: Compacted content automatically stored in archive ### Configuration { contextLimit: 64000, // DeepSeek's context window autoCompact: true, // Enable automatic compaction compactThreshold: 0.75, // Start compacting at 75% usage aggressiveCompactThreshold: 0.9, // Aggressive compaction at 90% dynamicContext: true, // Enable dynamic context management relevanceDecay: 0.95, // Relevance decays 5% per time step minRelevanceScore: 0.3, // Minimum relevance to keep queryAwareCompaction: true, // Compact based on current query relevance strategies: ['semantic', 'temporal', 'extractive', 'adaptive'], preserveRecent: 10, // Always keep last N messages preserveSystem: true, // Always keep system messages minSimilarity: 0.85, // Semantic similarity threshold // Archive settings enableArchive: true, // Enable hierarchical memory system archivePath: './context-archive', archiveSearchLimit: 10, archiveMaxSize: 100 * 1024 * 1024, // 100MB archiveIndexing: true, // Chat logging logToChat: true, // Log optimization events to chat chatLogLevel: 'brief', // 'brief', 'detailed', or 'none' chatLogFormat: '📊 {action}: {details}', // Format for chat messages // Performance batchSize: 5, // Messages to process in batch maxCompactionRatio: 0.5, // Maximum 50% compaction in one pass } ### Chat Logging The context optimizer can log events directly to chat: // Example chat log messages: // 📊 Context optimized: Compacted 15 messages → 8 (47% reduction) // 📊 Archive search: Found 3 relevant snippets (42% similarity) // 📊 Dynamic context: Filtered 12 low-relevance messages // Configure logging: const pruner = createContextPruner({ logToChat: true, chatLogLevel: 'brief', // Options: 'brief', 'detailed', 'none' chatLogFormat: '📊 {action}: {details}', // Custom log handler (optional) onLog: (level, message, data) => { if (level === 'info' && data.action === 'compaction') { // Send to chat console.log(\`🧠 Context optimized: ${message}\`); } } }); ### Integration with Clawdbot Add to your Clawdbot config: skills: context-pruner: enabled: true config: contextLimit: 64000 autoPrune: true The pruner will automatically monitor context usage and apply appropriate pruning strategies to stay within DeepSeek's 64k limit. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: ad2546 - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-29T15:23:05.820Z - Expires at: 2026-05-06T15:23:05.820Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/context-optimizer) - [Send to Agent page](https://openagent3.xyz/skills/context-optimizer/agent) - [JSON manifest](https://openagent3.xyz/skills/context-optimizer/agent.json) - [Markdown brief](https://openagent3.xyz/skills/context-optimizer/agent.md) - [Download page](https://openagent3.xyz/downloads/context-optimizer)