Query the witness-anchored ruLake cache — search, verify, explain, or refresh. Returns ranked results plus a decision_trace block with cost, latency, witness match, and substrates used.
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Query the witness-anchored ruLake cache — search, verify, explain, or refresh. Returns ranked results plus a decision_trace block with cost, latency, witness match, and substrates used.
中文简介正在准备中。当前显示原文说明。
Run a safe, structured wellness intake that escalates red flags to professionals.
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Verify Rash Studio scenes, ActionScript subset behavior, resource links, portable embeds, exports, and desktop or mobile interaction. Use for Rash acceptance checks, compatibility review, security review, or release validation.
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Create or modify Rash Studio projects, SVG animation templates, timeline keyframes, interactive scenes, and website embeds. Use for Rash authoring requests, not general Flash or SWF conversion.
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Use ruPet as a practical companion for Ruflo and ruvnet tool workflows, or improve ruPet creation and repair prompts. Use for requests that name ruPet or ask for its tool-aware guidance; ordinary tasks and merely displaying the pet do not need this skill.
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Diagnose common Cognitum Seed device issues — won't pair, no WiFi, firmware stuck, MCP tools not appearing in Claude Code. Use when the user reports a Seed-related symptom and asks "why isn't this working?".
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Evolve this harness with Darwin Mode — frozen model, evolving harness (real, sandboxed, safety-gated).
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Inspect README portability, publication assets and command risks with deterministic evidence. Use when reviewing package documentation, preparing an npm release, or diagnosing first run instructions.
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MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
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Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
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Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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