Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and p
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🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Claude Code
Multi-agent swarm coordination, memory management, SPARC methodology, and intelligent hooks for Claude Code. Provides 60+ skills, 100+ commands, and 80+ specialized agents.
Claude Code
ADR lifecycle management — create, index, supersede, and link Architecture Decision Records to code
Claude Code
Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends
Claude Code
AgentDB memory controllers with HNSW vector search, RuVector embeddings, and causal graphs
Claude Code
共 44 个插件包,通过下方列表选择查看。
共 476 项匹配内容,示例会单独标注;未声明归属的内容不代表插件自动包含。
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and p
其他仓库内容 · 未声明插件包归属
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and p
其他仓库内容 · 未声明插件包归属
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and p
其他仓库内容 · 未声明插件包归属
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
其他仓库内容 · 未声明插件包归属
Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wa
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Run health checks on the Ruflo installation and fix common issues
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Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
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Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
其他仓库内容 · 未声明插件包归属
Scan inputs for prompt injection, unsafe content, and adversarial attacks using AIDefence. Use when processing untrusted input (user submissions, API payloads,
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Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enfo
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Security scanning and vulnerability detection. Use when: authentication, authorization, payment processing, user data. Skip when: read-only operations, internal
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Run full security scans on the codebase using Ruflo security tools. Use when reviewing PRs for security regressions, auditing auth/input-handling code, before p
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Persist and restore agent sessions across conversations with state snapshots
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Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build cu
其他仓库内容 · 未声明插件包归属
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build cu
其他仓库内容 · 未声明插件包归属
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build cu
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Run the SPARC Pseudocode and Architecture phases (2 and 3) — write algorithm pseudocode, design module boundaries and API contracts, then implement
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SPARC development workflow (Specification, Pseudocode, Architecture, Refinement, Completion). Use when: new features, complex implementations, architectural cha
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SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thor
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Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation
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Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory
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Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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