「coordination」の検索結果

Use for bounded reasoning, partial planning, commitment policy, deliberation cost, and reconsideration-threshold design instead of assuming free deliberation. NOT for exhaustive planning, static optimization, or domains where reconsideration cost is irrelevant.

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Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

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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 search applications.

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EXPERIMENTAL. Join or leave an org-team coordination channel as a session peer. `/companion on <channel_id> [peer_id]` registers this Claude Code session as a `pclass:"session"` peer and works the claim → execute → signal loop, escalating un-decidable forks to the lead (never deciding). `/companion off` deregisters. `/companion status` reports the current peer. Part of org mode (Article X), which is opt-in via `velocity.org_mode.enabled` and OFF by default. Use when a human launches a second session to act as a peer alongside a lead.

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Plan and document handoffs, parent lane contracts, and parallel batch contracts between specialized AI agents (foreman, workers, reviewers). Use for multi-agent workflows, subagents, original goal preservation, native gates, claim ceilings, terminal states, baton passes, or guild-style agent coordination.

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Create and integrate the machine-level core of a new EMULATORS emulator, including Computer and Emulator derivatives, memory and port maps, chip ownership and wiring, clock coordination, model configuration, commands, formatters, executables, and Visual Studio projects. Use when scaffolding a machine namespace, adding a model or regional variant, assembling existing components into a computer, or making a new emulator build and start.

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Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

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Design and derive Program Derived Addresses (PDAs) and account layouts across the Pump ecosystem's four Solana programs — global singletons, per-token accounts, per-user accumulators, and cross-program coordination patterns.

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Solana development patterns used in the Pump SDK — Anchor IDL-based program interaction, SPL Token and Token-2022 management, transaction construction with instruction composition, RPC batching, and cross-program coordination.

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Compose professional internal emails for coordination tasks like vendor quote requests, task delegation, and follow-up communications. Generates bilingual (JA/EN) email drafts with proper business tone. Use when user needs to draft internal emails for vendor RFQ forwarding, quote compilation requests, status updates, or task delegation.

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Knowledge base from NIST SP 800-61 Rev. 3 (Incident Response Recommendations for Cybersecurity Risk Management). Use for CSF 2.0-aligned incident response life cycles, IR roles, Community Profile priorities for DE/RS/RC and preparation, playbooks, coordination, and continuous improvement. Covers 800-61r3 only; does not replace CSF 2.0 full text, SP 800-61r2 tactical playbooks, or sector-specific breach-notification law.

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Dach-Skill für Cloud-gestützte Kommunikationsprotokolle zwischen Agenten auf unterschiedlichen Maschinen (Ping-Pong, agent-beam, Listener und künftige Protokolle). Nutzen, wenn Arbeit über Maschinen hinweg per gemeinsamem Sync-Ordner oder Message-Yard koordiniert wird.

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Send and read messages between machines in a fleet over a shared Telegram group, so cross-machine coordination survives a file-sync outage and humans can watch the machines talk. A synced folder stays as the fallback for oversized payloads. Triggers: "/bus", "post to the bus", "check the bus", "tell the other machines".

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Master orchestrator for B2B SaaS marketing campaigns using the CATALYST framework (Coordinated Agents for Targeted, Analytics-Led, Year-round SaaS Transformation). Coordinates 79 specialist agents across 17 marketing disciplines. Use this skill for ANY large-scale marketing initiative: full GTM launches, annual marketing plans, multi-channel campaigns, quarterly planning, or any task requiring coordination across content, SEO, paid media, social, email, design, sales enablement, product marketing, analytics, project management, and client operations. Also triggers on: marketing strategy, campaign plan, GTM launch, quarterly plan, marketing ops, full-funnel campaign, marketing audit, growth plan.

日本語の概要は準備中です。原文の説明を表示しています。

Marketing project management and execution excellence for B2B SaaS campaigns. Use this skill when coordinating multi-channel campaigns, allocating team resources, planning agile marketing sprints, running QBRs with clients, managing project timelines, balancing marketing workload, or implementing marketing operations scrum. Also triggers on: campaign coordination, resource allocation, agile marketing, sprint planning, client success, QBR, project timeline, marketing ops scrum, workload balancing.

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Use for Nauthilus Redis client, Redis Cluster/Sentinel/topology behavior, Redis-backed token/session/flow/cache/bruteforce state, Lua Redis scripts, `NOSCRIPT` recovery, script upload/retry behavior, redismock tests, local cache coordination, and fail-closed runtime state changes.

日本語の概要は準備中です。原文の説明を表示しています。

AI Personal Assistant network skill for multi-agent PA coordination. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages to PA groups, or looking up contacts from the local PA directory. Reads contact data from data/pa-directory.json in the workspace.

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Route and execute inter-PA coordination tasks in the OpenClaw multi-agent PA network. Triggers when: contacting another PA, passing a message between owners, broadcasting to a PA group, handling group lead/silence rules, or adding a new PA to the directory. NOT for: contact lookups (use contact-list skill), calendar invites (use meetings skill), or billing issues (use billing-monitor skill).

日本語の概要は準備中です。原文の説明を表示しています。

Complete WhatsApp management for OpenClaw agents: per-conversation memory (groups + DMs), unanswered message tracking, loop prevention, and multi-PA coordination. Use when: tracking conversation context, recalling past decisions, finding unanswered messages, or preventing echo/duplicate message loops.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Changesets — changesets version management covering changeset file inventory, pending version bump analysis, package release readiness, changelog generation status, and monorepo release coordination. Use when auditing pending changesets, investigating release blockers, reviewing version bump strategies, or managing multi-package release workflows.

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Use for event agency operations: client intake, project scoping, vendor management, crew coordination, production planning, pre-show logistics, and post-show wrap. Delegates technical execution to godmode-eventtech and bdbmediastorm.

日本語の概要は準備中です。原文の説明を表示しています。

Multi-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board. Git worktree isolation, Leader-driven coordination. Mixed Codex/Claude Code engine. Use when a task needs engineering depth beyond a single agent. NOT for simple task parallelism (use agent-task-orchestration) or design discussions (use agent-brainstorm).

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Implement, review, or improve CloudKit and iCloud sync in iOS/macOS apps. Use when working with CKContainer, CKRecord, CKQuery, CKSubscription, CKSyncEngine, CKShare, NSUbiquitousKeyValueStore, or iCloud Drive file coordination; when syncing SwiftData models via ModelConfiguration with cloudKitDatabase; when handling CKError codes for conflict resolution, network failures, or quota limits; or when checking iCloud account status before performing sync operations.

日本語の概要は準備中です。原文の説明を表示しています。

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

日本語の概要は準備中です。原文の説明を表示しています。