duclm1x1
duclm1x1/Dive-Ai
相关职业SOC
基于 SOC 职业分类
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/duclm1x1/Dive-Ai --skill tmux-agents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。
基于 SOC 职业分类
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
| name | tmux-agents |
| description | Manage background coding agents in tmux sessions. Spawn Claude Code or other agents, check progress, get results. |
| version | 1.0.0 |
| author | Jose Munoz |
| homepage | https://clawdhub.com/skills/tmux-agents |
| triggers | ["spawn agent","coding task","background task","tmux session","run codex","run gemini","local agent","ollama agent"] |
| metadata | {"clawdbot":{"emoji":"🖥️","requires":{"bins":["tmux"]},"install":[{"id":"brew-tmux","kind":"brew","formula":"tmux","bins":["tmux"],"label":"Install tmux (brew)"}]}} |
Run coding agents in persistent tmux sessions. They work in the background while you do other things.
| Agent | Command | Best For |
|---|
| claude | Claude Code | Complex coding, refactoring, full projects |
| codex | OpenAI Codex | Quick edits, auto-approve mode |
| gemini | Google Gemini | Research, analysis, documentation |
| Agent | Command | Best For |
|---|---|---|
| ollama-claude | Claude Code + Ollama | Long experiments, heavy refactoring |
| ollama-codex | Codex + Ollama | Extended coding sessions |
Local agents use your Mac's GPU — no API costs, great for experimentation!
./skills/tmux-agents/scripts/spawn.sh <name> <task> [agent]
# Cloud (uses API credits)
./skills/tmux-agents/scripts/spawn.sh fix-bug "Fix login validation" claude
./skills/tmux-agents/scripts/spawn.sh refactor "Refactor the auth module" codex
./skills/tmux-agents/scripts/spawn.sh research "Research caching strategies" gemini
# Local (FREE - uses Ollama)
./skills/tmux-agents/scripts/spawn.sh experiment "Rewrite entire test suite" ollama-claude
./skills/tmux-agents/scripts/spawn.sh big-refactor "Refactor all services" ollama-codex
tmux list-sessions
# or
./skills/tmux-agents/scripts/status.sh
./skills/tmux-agents/scripts/check.sh session-name
tmux attach -t session-name
# Detach with: Ctrl+B, then D
tmux send-keys -t session-name "additional instruction here" Enter
tmux kill-session -t session-name
| Scenario | Recommendation |
|---|---|
| Quick fix, time-sensitive | ☁️ Cloud (faster) |
| Expensive task, budget matters | 🦙 Local |
| Long experiment, might fail | 🦙 Local |
| Production code review | ☁️ Cloud (smarter) |
| Learning/exploring | 🦙 Local |
| Heavy refactoring | 🦙 Local |
Run multiple agents simultaneously:
# Mix and match cloud + local
./scripts/spawn.sh backend "Implement user API" claude # Cloud
./scripts/spawn.sh frontend "Build login form" ollama-codex # Local
./scripts/spawn.sh docs "Write API documentation" gemini # Cloud
./scripts/spawn.sh tests "Write all unit tests" ollama-claude # Local
Check all at once:
./skills/tmux-agents/scripts/status.sh
Local agents require Ollama with a coding model:
# Pull recommended model
ollama pull glm-4.7-flash
# Configure tools (one-time)
ollama launch claude --model glm-4.7-flash --config
ollama launch codex --model glm-4.7-flash --config
tmux ls to see all active work