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AI アシスタントでインストール

このプロンプトをコピーして、使用中の AI アシスタントに送ってください。

リポジトリの README を読み込んでいます…

収集済み skill 349 件中 40 件を表示しています。

職業分類
その他コンピュータ職
説明

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 wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical…

原文の言語: 英語

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未分類
説明

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

原文の言語: 英語

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未分類
説明

Trace agent execution by collecting spans and building a trace tree for a task

原文の言語: 英語

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未分類
説明

Search Ruflo memory with semantic retrieval, keyword/semantic union, or optional SmartRetrieval reranking

原文の言語: 英語

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未分類
説明

Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations

原文の言語: 英語

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職業分類
未分類
説明

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector…

原文の言語: 英語

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職業分類
未分類
説明

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through…

原文の言語: 英語

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職業分類
未分類
説明

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

原文の言語: 英語

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職業分類
未分類
説明

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

原文の言語: 英語

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未分類
説明

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

原文の言語: 英語

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未分類
説明

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced…

原文の言語: 英語

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職業分類
未分類
説明

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code…

原文の言語: 英語

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未分類
説明

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or…

原文の言語: 英語

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未分類
説明

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

原文の言語: 英語

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未分類
説明

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills…

原文の言語: 英語

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職業分類
未分類
説明

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.

原文の言語: 英語

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未分類
説明

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

原文の言語: 英語

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未分類
説明

Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

原文の言語: 英語

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説明

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

原文の言語: 英語

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説明

Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.

原文の言語: 英語

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説明

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.

原文の言語: 英語

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未分類
説明

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

原文の言語: 英語

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未分類
説明

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

原文の言語: 英語

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未分類
説明

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.

原文の言語: 英語

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未分類
説明

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

原文の言語: 英語

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未分類
説明

Check code quality and change risk with ruflo's shipped analysis commands (analyze diff, analyze complexity, analyze code), and run or extend ruflo's own CI regression guards. Use when assessing a change's risk, finding complexity hot spots, or adding a…

原文の言語: 英語

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職業分類
未分類
説明

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced…

原文の言語: 英語

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職業分類
未分類
説明

Show AGNTCY/SLIM/CASA integration status: whether the SLIM runtime is installed, an endpoint configured, which transport is default, and what the agntcy mod saw this session. Use when the user asks whether AGNTCY is configured. Read-only; no network call.

原文の言語: 英語

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説明

Join and operate a signed cross-host agentbbs federation and coordinate work claims across nodes. Use when connecting ruflo agents across machines, sharing tasks or results between hosts, or standing up a federation hub; skip for single-host work.

原文の言語: 英語

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未分類
説明

Run one dry-run tick of the sales business-pod (ADR-164): validate templates/sales.json, reserve budget, post a summary envelope to the "sales" room and print a status line for /loop. Use when a person or a /loop asks for the next sales-pod tick.

原文の言語: 英語

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未分類
説明

Initialize a new Ruflo project with MCP tools, hooks, and agent configuration. Use when setting up Ruflo in a fresh repo, or when the user says "init ruflo", "set up ruflo", or asks how to bootstrap the MCP server, hooks, and agent configs from scratch.

原文の言語: 英語

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未分類
説明

Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation

原文の言語: 英語

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未分類
説明

Sign, verify and track fix-marker regressions over time with an Ed25519 witness manifest. Use when registering fixes or checking a release for regressed fixes. The default seed proves integrity only; set RUFLO_WITNESS_SEED/RUFLO_WITNESS_PUBLIC_KEY for…

原文の言語: 英語

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職業分類
未分類
説明

MAD-based outlier detection on session spend: lists anomalous sessions with modified-z scores, with an optional --alert-on-outliers exit code for CI. Use when asked which individual session is the cost outlier; cost-burn covers the aggregate trend.

原文の言語: 英語

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職業分類
未分類
説明

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

原文の言語: 英語

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未分類
説明

Burn-rate trend over time with optional drift-alert exit code. Bins session spend into buckets, surfaces window-over-window delta, and can exit 1 when latest bucket exceeds prior mean by a configurable %. Distinct from `cost-trend` (benchmark drift); this…

原文の言語: 英語

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未分類
説明

Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost

原文の言語: 英語

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未分類
説明

Multi-baseline counterfactual cost analysis. Compares actual session spend to hypothetical always-haiku / always-sonnet / always-opus routing baselines. Answers "is the routing earning its keep?" Negative savings flag over-escalation; positive savings…

原文の言語: 英語

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未分類
説明

Snapshot delta between two cost-summary JSON outputs. PR-level cost regression detection — answers "what changed between these two specific snapshots?". Pairs with cost-summary's stable JSON contract.

原文の言語: 英語

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職業分類
未分類
説明

Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

原文の言語: 英語

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収集済み skill 349 件中 40 件を表示しています。