51 件 ・ 関連度順
概要と使いどころ
Search an Agent Relay workspace's shared coding-agent sessions for prior work, decisions, fixes, or the context behind a task or pull request. Use when team history could answer the user's question or prevent repeating an investigation.
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 seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniques
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。
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
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 new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples
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 Agent Skills packages (SKILL.md format) for Codex CLI, GitHub Copilot, or Amp - provides the agentskills.io specification with frontmatter constraints, directory structure, and validation rules
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。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
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 deploying changes to staging across relay, relay-dashboard, and relay-cloud repos - coordinates multi-repo branch syncing using git worktrees, automatically triggers staging deployments via GitHub Actions
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 or fixing .claude/rules/ files - provides correct paths frontmatter (not globs), glob patterns, and avoids Cursor-specific fields like alwaysApply
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 or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure
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 or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.
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 coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with decision framework and accurate SDK/YAML examples.
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 structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, eager/lazy activation, and conversion hints
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 canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team 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。
Your education and edtech brain trust. 25 named personas across 7 cells covering learning science, curriculum design, AI tutoring, higher-ed strategy, edtech platforms, assessment, and workforce 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。
Guided coaching for delegation team lifecycle — create, update, delete, or review the workforce. The primary interface for team management and fleet-level visibility.
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 workforce scheduling systems for labor optimization and compliance. Triggers: you need to evaluate labor demand forecasting accuracy, shift generation and optimization algorithms.
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 ESG reporting software and sustainability metric accuracy. Analyzes Environmental (Scope 1/2/3 emissions, water, waste, biodiversity), Social (workforce diversity, pay equity, human rights due diligence), and Governance (board composition, ethics, risk) data collection against GRI.
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。
Analyze field service technician productivity and workforce efficiency.
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 workforce skill gap identification systems and labor market alignment. Triggers: you need to evaluate skill taxonomy quality, individual and aggregate gap analysis accuracy.
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。
Analyze an HR operations system for headcount planning effectiveness, attrition pattern detection, compensation benchmarking accuracy, workforce analytics maturity, and onboarding process optimization..
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 field service dispatch and workforce scheduling systems -- technician routing (VRP solvers, drive time modeling), skill-based job assignment, SLA priority scheduling, real-time re-dispatch on cancellations or emergencies, capacity planning, and travel time minimization..
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 a job matching platform for relevance, fairness, and candidate experience. Triggers: building or reviewing job boards, ATS matching engines, internal mobility platforms, or workforce marketplaces.
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。
Analyze defense maintenance and readiness systems — MRO optimization, mission capable rate tracking, reliability-centered maintenance (RCM), condition-based maintenance (CBM+), depot-level analytics, configuration management, and workforce planning. Audit weapon system sustainment software per MIL-STD-3034, AR 750-1, and DoD CBM+ frameworks.
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。
Knowledge base from the DoD Digital Engineering Strategy (2018, OUSD/ODASD(SE)). Use for the Department of Defense's five digital engineering goals — (1) formalize the development, integration, and use of models; (2) provide an enduring authoritative source of truth; (3) incorporate technological innovation; (4) establish supporting infrastructure and environments; (5) transform the culture and workforce — plus their focus areas, the document-to-model and design-build-test→model-analyze-build shifts, model formalisms/provenance, governance and access control of the authoritative source of truth, and the coordinate→plan→pilot→sustain rollout. A vision-and-policy strategy, deliberately non-prescriptive. Does NOT provide a how-to method, tool tutorials, MBSE/SysML mechanics, or implementation-plan content; thin on metrics, acquisition-policy detail, and step-by-step procedure. Excludes the CAC-gated Digital Engineering Body of Knowledge (DEBoK).
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。