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Run section orchestrators to coordinate multi-component workflows. Use when starting work on a section.

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。

Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.

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。

Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck. Semi-automatic recovery with user confirmation for destructive 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。

Comprehensive guide for the agent permissions and approval system. Use when an agent needs to request user approval for sensitive operations, when implementing new approval policies, when integrating platform-specific approval UIs (Slack buttons, WhatsApp replies, Dashboard modals), or when troubleshooting approval flows. Covers policy definition, platform adapters, and the complete approval lifecycle.

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。

Extract and display the final message from a Claude agent JSONL file. Use when the user wants to see an agent report, view agent output, extract agent results, check what an agent produced, or read the final response from a subagent. Triggers on requests like "show me agent report", "what did agent X produce", "extract agent output", "view agent results", or "get the report from agent ad42ecb".

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。

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration. Use when: the task directly matches context manager responsibilities within plugin agent-orchestration. Do not use when: a more specific framework or task-focused skill is clearly a better match.

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。

Ready-to-use prompt templates for specialized agents. Use when building n8n workflows, AI integrations, or sales materials. Contains structured prompts for automation-architect, llm-engineer, and sales-automator agents.

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。

Human and agent coordination protocol for repos using .agentprotocol. Use to manage TODO intake, open and archived work items, and plan/build docs with deterministic indexes.

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。

Get external agent review and feedback. Routes Anthropic models through Claude Agent SDK (uses local subscription) and other models through OpenRouter API. Use for code review, architecture feedback, or any external consultation.

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 in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous 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。

Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.

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。

Track and report agent invocation metrics including usage counts, success/failure rates, and completion times. Use for understanding which agents are utilized, identifying underused agents, and optimizing agent delegation 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。

Systematically deconstruct written content into verifiable claims, validate each using search/documentation, and facilitate informed discussion through structured interviewing.

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 prompt with OpenAI or Gemini provider via agent 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。

Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size while preserving information.

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。

End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.

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 well-structured prompts for AI agents using proven architecture patterns. Use when users ask to write agent prompts, system prompts, or agent instructions, or want to improve existing prompts that aren't working.

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 multiple AI agents and skills for complex 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。

Install AgentOps into a new or existing project. Handles .agent/ setup and .github/ merging.

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 .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.

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。

Orchestrates multi-agent workflows by delegating ALL tasks to spawned subagents via /spawn command. Parallelizes independent work, supervises execution, tracks progress in UUID-based output directories, and generates summary reports. Never executes tasks directly. Triggers on keywords: orchestrate, manage agents, spawn agents, parallel tasks, coordinate agents, multi-agent, orc, delegate tasks

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 agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

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。

Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean 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。

Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.

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。