642 件 ・ 関連度順
概要と使いどころ
Agent system design patterns distilled from the OpenClaw codebase. Gateway-centric control, Session Key hierarchy, Binding routing, Lane Queue concurrency, Sub-agent Spawn+Announce, 4-tier automation, Plugin architecture, Policy Chain, Failover strategies. Triggered by "gateway", "session", "binding", "lane", "spawn", "announce", "heartbeat", "cron", "hook", "plugin", "policy", "failover" keywords.
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。
Scan every open pull request in a GitHub repository, filter to the ones that are genuinely mergeable now, and report a compact verdict with a suggested merge order. Use when the user asks which PRs can be merged, wants an open-PR backlog triaged or reviewed in bulk, asks why a PR is blocked, or wants to clear a queue of stale or bot-reviewed PRs.
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。
Review every Beads issue waiting on a person, one at a time, using the interactive questionnaire UI rather than plain-text prompts. Use when asked to go through blockers, clear the human queue, answer beads waiting on the user, triage `bd human list`, or unblock agent work that needs a decision.
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。
Grind through ready beads serially in priority order, one at a time in the current worktree, without stopping between issues. Use when asked to work the beads queue, grind the backlog, keep working through ready issues, or make unattended progress overnight. For concurrent worktrees instead, use beads-parallel-grinding.
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。
Checks the canonical upstream issue tracker, discussion forums, and open pull requests, merge requests, or equivalent change queues for existing reports, discussion, or work on a problem just discussed. Use before diagnosing, fixing, or reporting an apparent open-source problem to avoid duplicate effort and missed context.
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。
Grind through ready beads in priority order by running several issues at once, each in its own isolated git worktree managed by worktrunk (`wt`), then merging the finished branches back one at a time. Use when asked to work the beads queue in parallel, to run N issues concurrently, or when a serial grind is too slow and the ready issues are independent.
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。
Set up a parallel agent team for COMPLEX tasks: creates worktree structure, an ownership map, and an initialized task queue. Use when a task is decomposed into parallel subtasks.
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。
JIRA Service Management via jira-as: service desks, requests, customers, orgs, queues, SLAs, approvals. Requires JSM tenant + agent role. NOT core issue ops (mk:jira-issue) or admin (mk:jira-admin).
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。
Fetch external sources (web / arXiv / GitHub) and turn them into scanner-gated wiki CANDIDATES — never canonical pages. Every fetched byte is DATA; url-guarded, size-capped, redirect-re-validated, injection-scanned, and secret-scrubbed before a candidate is even created. Requires network. NOT for capturing local knowledge (see mk:wiki); NOT for one-shot page-to-markdown (see mk:web-to-markdown).
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。
Diagnose and optimize timing-critical Chisel RTL for FPGA implementation while preserving cycle semantics. Use for Vivado timing bottlenecks, long ready or admission paths, queue and issue selection, free-list bank mapping, priority encoders, one-hot arbitration, wide muxes, late-arriving forwarding or override data, high-fanout controls, cross-module predicates, register-boundary changes, emitted-Verilog inspection, or routed-DCP A/B analysis. Also use when a source-level simplification needs proof that it changes timing without changing architectural state.
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。
Develop, challenge, and document Chisel processor microarchitecture designs before implementation. Use when discussing or writing design documents for processor pipelines, queues, issue logic, rename, ROB, LSU, caches, MSHRs, forwarding, wakeup, replay, flush, privilege, exceptions, or other cycle-accurate hardware mechanisms; when converting design conversations into stable Markdown specifications; or when reviewing a proposed Chisel CPU design for correctness, timing, area, verification cost, and cross-document consistency.
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。
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
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。
Design Kafka consumer groups that survive rebalances, hit the right delivery guarantee (at-most/at-least/exactly-once), and handle poison messages without stalling the topic. Use when picking a partition assignment strategy (Range vs Sticky vs Cooperative-Sticky vs the new KIP-848 protocol), tuning heartbeat / session / max.poll.interval timeouts, choosing manual vs auto offset commits, designing dead-letter or retry topics, or migrating from Classic to the next-gen Consumer protocol. NOT for Kafka cluster ops (broker tuning, partition reassignment), schema design (Avro/Protobuf/Schema Registry), or stream processing topology (use a kafka-streams 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。
Wave-based parallel scheduling for DAG execution. Manages execution order, resource allocation, and parallelism constraints. Activate on 'schedule dag', 'execution waves', 'parallel scheduling', 'task queue', 'resource allocation'. NOT for building DAGs (use dag-graph-builder) or actual execution (use dag-parallel-executor).
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。
Spotify: play, search, queue, manage playlists and devices.
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。
Coordinate multi-agent work through durable artifacts in git instead of chat. Use this whenever a task involves sending a message to another agent, agent mailboxes or handoffs, claiming work from a shared queue, notifying another agent or crew (OpenClaw, Grok Bot, Claude Code, Codex, Gas Town/Gas City workers) that work is ready, or whenever the user mentions the artifact bus, message bus, agent mail, beads mail, doorbells, or pings between agents — even if they don't say "bus" explicitly.
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 choosing .NET concurrency patterns for async I/O, queues, pipelines, or thread safety. Keywords: async/await, channels, dataflow, Rx, lock contention, producer consumer, parallel processing.
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 adding auth, webhooks, uploads, queues, secrets, tenant boundaries, or public endpoints — produces trust boundaries + abuse cases mapped to files, BEFORE implementation.
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 building Laravel emails — Mailables, Markdown templates, queued sending, attachments, previews — even when the user says 'send this as an email' without naming Mailables.
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 creating Laravel jobs, queued workflows, events, or listeners. Covers clear responsibilities, safe serialization, and retry/failure handling.
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 Laravel queues in production — Horizon dashboard, worker supervision, job metrics, balancing strategies — even when the user just says 'my jobs are piling up'.
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 BEFORE editing shared code — enumerates every call site, event consumer, queue worker, API client, migration, and test that a planned change will touch, with a file:line citation per dependency.
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 comparing this package to a peer / competitor — ours-vs-theirs verdict table, axis selection, adoption queue. Triggers on 'how do we compare to X', 'should we adopt their pattern'.
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 designing or implementing states for AI agent tasks, background jobs, local model runs, queues, and notifications — one shared set of states, only legal transitions, and a recovery path out of every failure.
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。