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cinicu/opencode-dotfiles

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OpenCode dotfiles — 19 AI agent skills + 8 MCP servers + persistent memory (memory-keeper). Cross-platform install, screenshot OCR, custom CLI toolchain.

개요

for OpenCode — research, analysis, writing, and automation. Focused on academic research methodology, systematic reviews, critical analysis, and developer productivity. Compatible with Claude Code, Cursor, and Windsurf. - — PhD-level subagent for academic research (auto-loads relevant skills) - — Primary agent with full permissions 1. Copy .env.example to .env and fill in your API keys 2. Install MCP servers (clone to ./mcp-servers/ or adjust paths) 3. Copy opencode.jsonc.template to opencode.jsonc and configure 4. Run opencode - Tavily — web search - Exa — semantic search

README

OpenCode Dotfiles

19 AI agent skills for OpenCode — research, analysis, writing, and automation.

Focused on academic research methodology, systematic reviews, critical analysis, and developer productivity. Compatible with Claude Code, Cursor, and Windsurf.

Quick Start

# Clone
git clone https://github.com/YOUR_USER/opencode-dotfiles.git ~/.config/opencode

# Or install from current directory:
# Windows
.\install.ps1

# Linux/macOS
chmod +x install.sh && ./install.sh

Manual symlink:

# Linux/macOS
ln -s "$(pwd)/skills/literature-review" ~/.config/opencode/skills/

Skills (19)

Domain Skills
Research Methods literature-review, systematic-review, research-methodology, research-synthesis, research-manager
Critical Analysis critical-analysis, hypothesis-testing, lateral-thinking, ethics-review
Quantitative quantitative-analysis
Qualitative qualitative-research
Writing & Polish academic-writing, polish
Productivity screenshot-capture, memory-logger, 7zip, cave man
Meta skill-creator, using-opencode-researcher

Agents

  • researcher — PhD-level subagent for academic research (auto-loads relevant skills)
  • yolo — Primary agent with full permissions

MCP Servers

Server Purpose
browser-os Browser automation (tabs, clicks, screenshots, forms)
tavily Web search & content extraction
exa Semantic web search
perplexity AI-powered search (web, scholar, social)
memory-keeper Persistent structured context across sessions
filesystem Local file access
sequential-thinking Multi-step reasoning
fetch Web page fetching

Setup

  1. Copy .env.example to .env and fill in your API keys
  2. Install MCP servers (clone to ./mcp-servers/ or adjust paths)
  3. Copy opencode.jsonc.template to opencode.jsonc and configure
  4. Run opencode

Required API Keys

  • Tavily — web search
  • Exa — semantic search

Structure

opencode-dotfiles/
├── opencode.jsonc.template   # Config template (env vars)
├── .env.example              # Environment variables reference
├── AGENTS.md                 # Agent instructions
├── SKILLS.md                 # Skill index
├── install.ps1               # Windows installer
├── install.sh                # Unix installer
├── agents/
│   ├── researcher.md         # Research subagent definition
│   └── yolo.md              # Full-access agent config
├── skills/                   # 19 skill directories
│   ├── literature-review/
│   │   └── SKILL.md
│   ├── systematic-review/
│   │   └── SKILL.md
│   └── ...
└── scripts/
    └── screenshot.ps1        # Screenshot + OCR utility

License

MIT

GitHub에서 전체 README 보기

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