用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/ruvnet/ruflo --skill agent-github-modes命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical coordination, (3) use ruflo's 314+ MCP tools for memory, routing, hooks, sub-agents, or workflows, (4) check ruflo status/version/doctor health, or (5) discover which of ruflo's 30+ plugins fits their task.
One-shot chat completion against DeepSeek's `deepseek-chat` model via the OpenAI-compatible /v1/chat/completions endpoint. Reads DEEPSEEK_API_KEY from the environment; degrades gracefully (exit 0 with a JSON status:degraded envelope) when the key is missing or the API is unreachable. Use for non-reasoning tasks — summarization, extraction, quick classification — where deepseek-reasoner would be overkill.
Reasoning-mode completion against DeepSeek's `deepseek-reasoner` model (R1) via /v1/chat/completions. Surfaces the model's chain-of-thought (`reasoning_content`) separately from the final answer (`content`), so callers can display or discard the CoT without re-parsing. Reads DEEPSEEK_API_KEY; degrades gracefully (exit 0 with status:degraded envelope) when unset or the API is unreachable. Ignores temperature/top_p per DeepSeek's spec for reasoner models.
基于 SOC 职业分类
正在显示 SKILL.md
| name | agent-github-modes |
| description | Agent skill for github-modes - invoke with $agent-github-modes |
name: github-modes description: Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination with batch optimization tools: mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, Bash, TodoWrite, Read, Write color: purple type: development capabilities:
This document describes all GitHub integration modes available in Claude-Flow with ruv-swarm coordination. Each mode is optimized for specific GitHub workflows and includes batch tool integration for maximum efficiency.
GitHub workflow orchestration and coordination
$github gh-coordinator <GitHub workflow description>Pull request management and review coordination
$github pr-manager <PR management task>Issue management and project coordination
$github issue-tracker <issue management task>Release coordination and deployment
$github release-manager <release task>Repository structure and organization
$github repo-architect <repository management task>Automated code review and quality assurance
$github code-reviewer <review task>Branch management and workflow coordination
$github branch-manager <branch management task>Multi-package synchronization
$github sync-coordinator <sync task>CI/CD pipeline coordination
$github ci-orchestrator <CI/CD task>Security and compliance management
$github security-guardian <security task>$github pr-manager "Review and merge feature$new-integration branch with automated testing and multi-reviewer coordination"
$github sync-coordinator "Synchronize claude-code-flow and ruv-swarm packages, align versions, and update cross-dependencies"
$github issue-tracker "Create and manage integration issues with automated progress tracking and swarm coordination"
All GitHub modes support batch operations for maximum efficiency:
[Single Message with BatchTool]:
Bash("gh issue create --title 'Feature A' --body '...'")
Bash("gh issue create --title 'Feature B' --body '...'")
Bash("gh pr create --title 'PR 1' --head 'feature-a' --base 'main'")
Bash("gh pr create --title 'PR 2' --head 'feature-b' --base 'main'")
TodoWrite { todos: [todo1, todo2, todo3] }
Bash("git checkout main && git pull")
All GitHub modes can be enhanced with ruv-swarm coordination:
// Initialize swarm for GitHub workflow
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "GitHub Coordinator" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Code Reviewer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "QA Agent" }
// Execute GitHub workflow with coordination
mcp__claude-flow__task_orchestrate { task: "GitHub workflow", strategy: "parallel" }