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Giga Coding Agent

Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.

skill openclawclawhub Free
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High Signal

Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Coding Agent (background-first)

Use bash background mode for non-interactive coding work. For interactive coding sessions, use the tmux skill (always, except very simple one-shot prompts).

The Pattern: workdir + background

# 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 ๐Ÿ˜…).

Codex CLI

Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)

Building/Creating (use --full-auto or --yolo)

# --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

Reviewing PRs (vanilla, no flags)

โš ๏ธ CRITICAL: Never review PRs in Clawdbot's own project folder! Either use the project where the PR is submitted (if it's NOT ~/Projects/clawdbot) Or clone to a temp folder first # 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!

Batch PR Reviews (parallel army!)

# 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>"

Tips for PR Reviews

Fetch refs first: git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*' Use git diff: Tell Codex to use git diff origin/main...origin/pr/XX Don't checkout: Multiple parallel reviews = don't let them change branches Post results: Use gh pr comment to post reviews to GitHub

Claude Code

bash workdir:~/project background:true command:"claude \"Your task\""

OpenCode

bash workdir:~/project background:true command:"opencode run \"Your task\""

Pi Coding Agent

# Install: npm install -g @mariozechner/pi-coding-agent bash workdir:~/project background:true command:"pi \"Your task\""

Pi flags (common)

--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/\""

tmux (interactive sessions)

Use the tmux skill for interactive coding sessions (always, except very simple one-shot prompts). Prefer bash background mode for non-interactive runs.

Parallel Issue Fixing with git worktrees + tmux

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 "โฏ" && 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 โ€” needs TTY for proper output. tmux provides persistent sessions with full history capture.

โš ๏ธ Rules

Respect tool choice โ€” if user asks for Codex, use Codex. NEVER offer to build it yourself! Be patient โ€” don't kill sessions because they're "slow" Monitor with process:log โ€” check progress without interfering --full-auto for building โ€” auto-approves changes vanilla for reviewing โ€” no special flags needed Parallel is OK โ€” run many Codex processes at once for batch work NEVER start Codex in ~/clawd/ โ€” it'll read your soul docs and get weird ideas about the org chart! Use the target project dir or /tmp for blank slate chats NEVER checkout branches in ~/Projects/clawdbot/ โ€” that's the LIVE Clawdbot instance! Clone to /tmp or use git worktree for PR reviews

PR Template (The Razor Standard)

  • 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 ๐Ÿฅท - Mariano's AI agent*
  • Key principles:
  • Human-written description (no AI slop)
  • Feature intent for maintainers
  • Timestamped prompt history
  • Session logs if using Codex/agent
  • Example: https://github.com/steipete/bird/pull/22
Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc