「arm」の検索結果

把用户对 HarmonyOS、ArkUI、Canvas 或代码生成产品动效的模糊描述转换为准确术语、相近概念和可能的 ArkUI 能力，例如“松手像急刹车”“拖过头有阻力”“页面像从同一个卡片长出来”“后端没完成却显示成功”。用于命名、检索和编写提示词；不要用于完整设计审视、传统视频剪辑、镜头叙事、直接实现或构建问题。

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。

Implement pharmaceutical serialisation and track-and-trace systems compliant with EU FMD, US DSCSA, and other global regulations. Covers unique identifier generation, aggregation hierarchy, EPCIS data exchange, and verification endpoint integration. Use when implementing serialisation for a new product launch, integrating with the EMVS/NMVS, designing DSCSA-compliant transaction exchange, building an EPCIS event repository, or extending serialisation to additional markets (China, Brazil, Russia).

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。

Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose work", "Mixed/brownfield".

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。

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

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。

Agent skill for code-review-swarm - invoke with $agent-code-review-swarm

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。

Arm proactive 5-hour usage protection for long Claude Code sessions (batch, subagents, high window % at start). Daemon reads account-level 5-hour window usage (not per-session). User types /usage-guard at session start. Re-arm every sitting. If user mentions usage-guard by name, read this file and run arm.sh.

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。

Decompose an approved spec into a dependency-ordered swarm plan — one task per component, each with an explicit write_set. Produces `.claude/state/swarm/<slug>.json` with tasks + waves. The wave scheduler guarantees pairwise-disjoint write_sets within each wave so parallel dispatch is provably conflict-free.

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。

Execute a swarm plan wave by wave with filesystem isolation via git worktrees. For each wave, main context decides the scenario recipe + implementation contract for every task, then spawns one swarm-worker per task in parallel. Each worker executes its recipe and reports JSON status. Worktree merge-audit verifies write-set discipline before changes land on main. Aborts remaining waves on any audit or task 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。

Select the right pharmacologic agent for a child aged 12+ with obesity using the CMAJ 2025 guideline — choosing between GLP-1 receptor agonists, metformin, or orlistat with monitoring guidance. Trigger when a clinician asks which medication to use for pediatric obesity, whether to start semaglutide or metformin in a child, or how to manage obesity pharmacologically in adolescents.

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。

Expert-level medicinal chemistry knowledge. Use when working with drug design, structure-activity relationships, ADMET properties, pharmacophores, lead optimization, target identification, drug metabolism, or pharmaceutical development. Also use when the user mentions 'SAR', 'drug design', 'pharmacophore', 'ADMET', 'lead compound', 'hit to lead', 'drug metabolism', 'bioavailability', 'selectivity', 'binding affinity', 'scaffold hopping', or 'bioisostere'.

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。

Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. Use when the user asks to collect and analyze notes/comments about pharma companies, aliases, roles, compliance, medical affairs, or AI topics, then produce a cited and scored sampled-insight report. Includes independent-evidence counting, MediaCrawler batch collection, and CAPTCHA/461 fallback to Agent Reach/OpenCLI.

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。

Control MARS/Innate robots over rosbridge WebSocket. Covers connecting to the robot, executing skills, moving the arm, driving the base, tilting the head, and reading sensors — all via JSON-over-WebSocket to rosbridge_server on port 9090. Use this skill whenever working with MARS robots, Innate OS, rosbridge, ROS2 robot control, maurice_arm, brain_client, or any project that talks to a robot over WebSocket. Also trigger when seeing imports from brain_client, brain_messages, maurice_msgs, or references to topics like /cmd_vel, /mars/arm, /brain/chat_in, /execute_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。

Use when working with Gcp Cloud Armor — google Cloud Armor security policy management, WAF rule configuration, adaptive protection analysis, and edge security policy management via gcloud CLI.

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-powered design of armored CAR-T cells with cytokine/chemokine expression for enhanced solid tumor efficacy, including IL-12, IL-15, IL-18, and IL-7 armoring strategies.

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。

技術記事の並列レビュー Council。anti-ai-slop / fact-checker / narrative-critic / reader-advocate を並列 spawn、severity 付き findings を最大3ラウンドで収束。Zenn などのドラフト完成後に使う。「記事レビュー」「editorial swarm」「編集会議」「記事推敲」「記事添削」で発動。

Deploys infrastructure on Oracle Cloud Infrastructure (OCI) with ARM64 instances (Always Free tier eligible). Handles compartments, VCNs, subnets, security lists, and compute instances. Use when: setting up Oracle Cloud infrastructure, deploying ARM64 instances, troubleshooting OUT_OF_HOST_CAPACITY errors, optimizing for Always Free tier. Keywords: oracle cloud, OCI, ARM64, VM.Standard.A1.Flex, Always Free tier, OUT_OF_HOST_CAPACITY, oci compartment, oci vcn

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。

The standing order for local git state in every AI Matrx repo — zero worktrees, zero local branches, zero dirty files, zero open PRs, everything merged to origin/main, and no code ever lost. Use when you find a worktree, a local branch, a stale checkout, an unpushed commit, or a dirty tree in any repo under /Users/armanisadeghi/code, when asked to "clean up", "unify", "merge everything", or when you are tempted to create a worktree or branch. Works without any access to Arman.

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。

工业级多Agent蜂群系统——指挥10+ Agent并行开发的完整框架。覆盖：Agent角色定义、任务分解协议、蜂群调度算法、子Agent通信、冲突消解、质量门禁、OpenClaw原生集成。触发词：蜂群、swarm、多Agent调度、并行开发、Agent集群、任务分解、AI并行开发、swarm intelligence、agent orchestration

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。

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

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。

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

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。

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.

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。

Comprehensive GitHub code review with AI-powered swarm 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。

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

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 swarm coordination for complex tasks. Use when: 3+ files need changes, new features, refactoring. Skip when: single file edits, simple fixes, documentation.

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。