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coding-agent
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
使用 Grok 实时搜索 X/Twitter,查找帖子、热门话题和讨论,并附带引用来源。
A股主题跟踪 — 从韭菜公社抓取市场热点、产业链、异动板块、最新段子,AI 结构化提取后进行多维分析。
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
通过 Tushare Pro MCP 获取中国金融市场数据。覆盖 A股/港股/美股/基金/期货/债券/宏观 共 158+ 个接口。当需要股价、财务、指数、宏观数据时,使用 tushare_* MCP tool 而非 Python 脚本。
Searches Google and extracts full page content from every result via trafilatura. Returns clean readable text, not just snippets. Use when the user needs web search, research, current events, news, factual lookups, product comparisons, technical documentation, or any question requiring up-to-date information from the internet.
| name | coding-agent |
| description | Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control. |
| metadata | {"clawdbot":{"emoji":"🧩","requires":{"anyBins":["claude","codex","opencode","pi"]}}} |
Use bash background mode for non-interactive coding work. For interactive coding sessions, use the tmux skill (always, except very simple one-shot prompts).
# Create temp space for chats/scratch work
SCRATCH=$(mktemp -d)
# Start agent in target directory ("little box" - only sees relevant files)
bash workdir:$SCRATCH background:true command:"<agent command>"
# Or for project work:
bash workdir:~/project/folder background:true command:"<agent command>"
# Returns sessionId for tracking
# Monitor progress
process action:log sessionId:XXX
# Check if done
process action:poll sessionId:XXX
# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"
# Kill if needed
process action:kill sessionId:XXX
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
# --full-auto: sandboxed but auto-approves in workspace
bash workdir:~/project background:true command:"codex exec --full-auto \"Build a snake game with dark theme\""
# --yolo: NO sandbox, NO approvals (fastest, most dangerous)
bash workdir:~/project background:true command:"codex --yolo \"Build a snake game with dark theme\""
# Note: --yolo is a shortcut for --dangerously-bypass-approvals-and-sandbox
⚠️ CRITICAL: Never review PRs in Clawdbot's own project folder!
# Option 1: Review in the actual project (if NOT clawdbot)
bash workdir:~/Projects/some-other-repo background:true command:"codex review --base main"
# Option 2: Clone to temp folder for safe review (REQUIRED for clawdbot PRs!)
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/clawdbot/clawdbot.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
bash workdir:$REVIEW_DIR background:true command:"codex review --base origin/main"
# Clean up after: rm -rf $REVIEW_DIR
# Option 3: Use git worktree (keeps main intact)
git worktree add /tmp/pr-130-review pr-130-branch
bash workdir:/tmp/pr-130-review background:true command:"codex review --base main"
Why? Checking out branches in the running Clawdbot repo can break the live instance!
# Fetch all PR refs first
git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'
# Deploy the army - one Codex per PR!
bash workdir:~/project background:true command:"codex exec \"Review PR #86. git diff origin/main...origin/pr/86\""
bash workdir:~/project background:true command:"codex exec \"Review PR #87. git diff origin/main...origin/pr/87\""
bash workdir:~/project background:true command:"codex exec \"Review PR #95. git diff origin/main...origin/pr/95\""
# ... repeat for all PRs
# Monitor all
process action:list
# Get results and post to GitHub
process action:log sessionId:XXX
gh pr comment <PR#> --body "<review content>"
git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'git diff origin/main...origin/pr/XXgh pr comment to post reviews to GitHubbash workdir:~/project background:true command:"claude \"Your task\""
bash workdir:~/project background:true command:"opencode run \"Your task\""
# Install: npm install -g @mariozechner/pi-coding-agent
bash workdir:~/project background:true command:"pi \"Your task\""
--print / -p: non-interactive; runs prompt and exits.--provider <name>: pick provider (default: google).--model <id>: pick model (default: gemini-2.5-flash).--api-key <key>: override API key (defaults to env vars).Examples:
# Set provider + model, non-interactive
bash workdir:~/project background:true command:"pi --provider openai --model gpt-4o-mini -p \"Summarize src/\""
Use the tmux skill for interactive coding sessions (always, except very simple one-shot prompts). Prefer bash background mode for non-interactive runs.
For fixing multiple issues in parallel, use git worktrees (isolated branches) + tmux sessions:
# 1. Clone repo to temp location
cd /tmp && git clone git@github.com:user/repo.git repo-worktrees
cd repo-worktrees
# 2. Create worktrees for each issue (isolated branches!)
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main
# 3. Set up tmux sessions
SOCKET="${TMPDIR:-/tmp}/codex-fixes.sock"
tmux -S "$SOCKET" new-session -d -s fix-78
tmux -S "$SOCKET" new-session -d -s fix-99
# 4. Launch Codex in each (after pnpm install!)
tmux -S "$SOCKET" send-keys -t fix-78 "cd /tmp/issue-78 && pnpm install && codex --yolo 'Fix issue #78: <description>. Commit and push.'" Enter
tmux -S "$SOCKET" send-keys -t fix-99 "cd /tmp/issue-99 && pnpm install && codex --yolo 'Fix issue #99: <description>. Commit and push.'" Enter
# 5. Monitor progress
tmux -S "$SOCKET" capture-pane -p -t fix-78 -S -30
tmux -S "$SOCKET" capture-pane -p -t fix-99 -S -30
# 6. Check if done (prompt returned)
tmux -S "$SOCKET" capture-pane -p -t fix-78 -S -3 | grep -q "❯" && echo "Done!"
# 7. Create PRs after fixes
cd /tmp/issue-78 && git push -u origin fix/issue-78
gh pr create --repo user/repo --head fix/issue-78 --title "fix: ..." --body "..."
# 8. Cleanup
tmux -S "$SOCKET" kill-server
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99
Why worktrees? Each Codex works in isolated branch, no conflicts. Can run 5+ parallel fixes!
Why tmux over bash background? Codex is interactive — needs TTY for proper output. tmux provides persistent sessions with full history capture.
When submitting PRs to external repos, use this format for quality & maintainer-friendliness:
## Original Prompt
[Exact request/problem statement]
## What this does
[High-level description]
**Features:**
- [Key feature 1]
- [Key feature 2]
**Example usage:**
```bash
# Example
command example
```
## Feature intent (maintainer-friendly)
[Why useful, how it fits, workflows it enables]
## Prompt history (timestamped)
- YYYY-MM-DD HH:MM UTC: [Step 1]
- YYYY-MM-DD HH:MM UTC: [Step 2]
## How I tested
**Manual verification:**
1. [Test step] - Output: `[result]`
2. [Test step] - Result: [result]
**Files tested:**
- [Detail]
- [Edge cases]
## Session logs (implementation)
- [What was researched]
- [What was discovered]
- [Time spent]
## Implementation details
**New files:**
- `path/file.ts` - [description]
**Modified files:**
- `path/file.ts` - [change]
**Technical notes:**
- [Detail 1]
- [Detail 2]
---
*Submitted by Razor 🥷 - Mariano's AI agent*
Key principles: