「orchestration」の検索結果

Use when creating, reviewing, or restructuring frontend monorepos with pnpm workspace, Turborepo, Nx, multi-package dependency boundaries, task orchestration, package naming, or package publishing; Chinese triggers include monorepo, workspace, multi-package.

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。

Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.

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 project planning, requirements analysis, and architectural orchestration for Tauri 2.0 applications.

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。

Best practices for using Pulumi Automation API to programmatically orchestrate infrastructure operations. Covers multi-stack orchestration, embedding Pulumi in applications, architecture choices, and common patterns.

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 the explicit, human-in-the-loop Circuit Weaver questionnaire from requirements through a validated design and KiCad handoff. Use only when the user asks for the design-wizard skill, the offline interactive wizard, or a slow step-by-step guided questionnaire. Do not trigger for ordinary new-design requests; use circuit-weaver for automatic end-to-end 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。

Build conversational multi-agent systems with AutoGen — agent types, group chats, and orchestration patterns.

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 agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use when running agents as a managed fleet rather than one-off calls.

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。

Build LLM applications with chain-style orchestration frameworks — prompts, chains, tool-calling agents, memory, and retrieval pipelines. Use when structuring multi-step LLM programs, adding tools to a model, or composing RAG systems in code.

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。

Architect autonomous agent systems — perception/action loops, tool design, planning strategies, memory, and multi-agent orchestration patterns. Use when designing an agent from scratch or scaling a prototype to production.

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 ABM programs — target account selection, personalized campaigns, sales orchestration, and account-level measurement.

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。

Audit ML experiment tracking infrastructure for reproducibility gaps, parameter logging completeness, metric capture, artifact management, and pipeline orchestration. Covers MLflow, Weights and Biases, DVC, Sacred, Neptune, Hydra configs, model registries, and produces a reproducibility scorecard (0-30) with actionable fixes for data science teams.

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。

**WORKFLOW SKILL** — Create custom VS Code Copilot agents (.agent.md). USE FOR: new agents, tool restrictions, handoffs, orchestration patterns, discipline constraints. DO NOT USE FOR: general coding, VS Code extension development.

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。

Standalone testing skill — owns writing and running tests, verifying behavior, and two-pass TDD orchestration. Default mode analyzes changed scope and runs the relevant tests; `--unit`/`--integration`/`--e2e`/`--all` scope by test type; `--verify` reruns exactly the prior failures; `--all-phases <plan>` sweeps every completed phase for regression. `--tdd --prepare`/`--tdd --verify` bracket `ck:cook` for red-green TDD. Never edits production code, and blocks until a phase's `ck:quality` gate is APPROVED (except `--tdd --prepare`, which runs before any implementation exists).

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。

Standalone testing skill — owns writing and running tests, verifying behavior, and two-pass TDD orchestration. Default mode analyzes changed scope and runs the relevant tests; `--unit`/`--integration`/`--e2e`/`--all` scope by test type; `--verify` reruns exactly the prior failures; `--all-phases <plan>` sweeps every completed phase for regression. `--tdd --prepare`/`--tdd --verify` bracket `ck:cook` for red-green TDD. Never edits production code, and blocks until a phase's `ck:quality` gate is APPROVED (except `--tdd --prepare`, which runs before any implementation exists).

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, configuring, or troubleshooting email sends in Marketing Cloud Email Studio and Content Builder. Triggers: 'dynamic content', 'send classification', 'A/B test email', 'Content Builder template', 'triggered send', 'suppression list', 'Commercial vs Transactional'. NOT for MCAE (Pardot) — use admin/mcae-pardot-setup. NOT for Journey Builder orchestration — use admin/journey-builder-administration.

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Use this skill when configuring Salesforce B2B or D2C Commerce checkout: payment methods, shipping/tax integration, guest checkout, order summary setup, and CartCheckoutSession state orchestration. Trigger keywords: checkout flow, payment adapter, shipping tax integration, guest checkout, order summary, CartCheckoutSession, Managed Checkout, Commerce checkout flow. NOT for deciding the checkout design before build (LWR vs Aura) — use admin/commerce-checkout-flow-design. NOT for writing the CommercePayments adapter class — use apex/commerce-payment-integration.

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Programmatically driving Salesforce Approval Processes from Apex — `Approval.process(ProcessSubmitRequest)` to submit, `ProcessWorkitemRequest` to approve / reject / reassign, recall semantics, querying `ProcessInstance` and `ProcessInstanceWorkitem` to find pending approvals, and the bulk-submit / bulk-action error-row handling. Covers when to use Apex-driven approval (system-initiated submission, batch approvals, custom UIs) vs leaving the platform's standard buttons in place. NOT for the Approval Process metadata definition itself (that's admin / declarative — see admin/approval-processes), NOT for Flow-based approvals (use flow/flow-orchestration-patterns).

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。

How to use the coding agents installed on this machine (claude, codex, droid, grok, vktr, hermes, opencode, copilot, pi) as plain sub-agents in orchestrated workflows: one headless invocation, one prompt in, one result out. Deliberately ignores each CLI's own orchestration features (droid --mission, codex multi_agent, hermes delegation/moa/kanban, grok --agents, opencode personas). The orchestrator is whatever session is running the skill; the CLIs are interchangeable workers. Use when the user asks "which agent should run this", "fan out workers", "run X headless", or when a lifeos skill (overnight, timeboxed-iterating, workgraph, gauntlet, bughunt, dark-factory) needs to launch an agent CLI, or when a worker needs company context it should ask Viktor for (vktr).

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。

Improve an existing agent SKILL.md through one gated cycle: select the target (default this skill), snapshot the committed baseline, diagnose against skill-design-principles plus four rubric dimensions, apply exactly one focused change, and ship only if a different agent than the author PASSes with quoted evidence. Use when the user says "improve this skill", "improve-skill", "iterate on SKILL.md", or "apply skill-design-principles to a skill". Do not use for code slop over a duration (anneal), generic timeboxed work (timeboxed-iterating), graph orchestration (workgraph), metric hill-climb on a codebase (autoresearch), or stripping slop from existing prose (catalog-deslop).

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。

Container orchestration expert for Docker, Kubernetes, and cloud-native deployments

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Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

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Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

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。

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service 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。

Use when reviewing a codebase for architectural friction, shallow modules, poor test seams, scattered behavior, duplicated orchestration, or opportunities to deepen modules before implementing a ticket or workflow.

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。