
Coding Agent
FreeDelegate coding tasks to AI agents efficiently.
Free · Opens the source repo
What Coding Agent does
The Coding Agent skill allows developers to delegate complex coding tasks to AI agents like Codex, Claude Code, or OpenCode, enabling background processing for feature builds, pull request reviews, and large refactors. This skill is specifically designed for tasks that require more than simple edits or read-only code lookups, making it ideal for those looking to streamline their coding workflow. By utilizing AI agents as background workers, developers can focus on higher-level tasks while the agents handle the intricate details of coding.
When using the Coding Agent, it is crucial to follow specific guidelines to ensure proper execution. For instance, all launches must include background:true, and for Codex or OpenCode, pty:true must be specified. The skill emphasizes the importance of isolating the coding environment by requiring the creation of separate worktrees and avoiding any operations in the primary checkout directory. This isolation helps maintain a clean and organized development environment, reducing the risk of conflicts and errors.
The skill also includes a mandatory Git preparation process for tasks that modify Git-backed projects. This preparation involves verifying the target repository, establishing the canonical remote, and ensuring that the worktree is correctly set up before any modifications are made. By adhering to these guidelines, developers can leverage the power of AI agents while maintaining control over their codebase and ensuring compliance with best practices.
Overall, the Coding Agent skill is a valuable tool for developers who want to enhance their productivity by effectively utilizing AI for complex coding tasks. It is particularly suited for teams engaged in large-scale projects or those who regularly conduct code reviews and refactorings, making it a practical addition to any developer's toolkit.
When to use it
Use this skill when you need to delegate large coding tasks, such as feature builds or PR reviews, to AI agents.
When not to use it
Avoid this skill for simple edits or read-only tasks, as it is designed for more complex coding operations.
What you can build with it
Feature Development
Use the Coding Agent to handle the implementation of new features while you focus on architecture and design.
Pull Request Reviews
Delegate the review process of pull requests to AI agents, allowing for faster feedback and integration.
Large Refactorings
Manage extensive code refactorings by utilizing AI agents to execute the changes in the background.
How to install Coding Agent
View source1. Install with the skills CLI
npx skills add openclaw/openclaw/coding-agent --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by openclawCoding Agent
Use for background feature builds, PR reviews, large refactors, and issue-to-PR loops. Do not use for simple edits, read-only lookup, ACP thread-bound work, or any run inside ~/.openclaw, $OPENCLAW_STATE_DIR, or active OpenClaw state dirs.
Hard rules
- Always launch with
background:true. - Codex and OpenCode: use
pty:true. - Codex: never inherit ambient
CODEX_HOMEor the default~/.codex. Use a separately authenticated coding-agent home and scope it to each Codex command. - Claude Code: no PTY; use
claude --permission-mode bypassPermissions --print. - Capture a real notification route before spawning.
- Worker must send completion/failure via
openclaw message send. - Do not rely on heartbeat, system events, or notify-on-exit.
- Monitor with
process; do not kill slow workers without cause. - If user asked for a specific agent, use that agent.
- If worker fails/hangs, respawn or ask; do not silently hand-code instead.
- Never checkout branches or run background coding agents in
~/Projects/openclaw; use an isolated checkout. - Classify the source ref as trusted or untrusted before any checkout or worktree creation. Never materialize a contributor-controlled ref outside the repository's approved untrusted-PR sandbox/review workflow, and never launch a permission-bypassed worker in it.
- For tasks that modify a Git-backed project, prepare and verify the Git worktree before launch, then include the exact Git preparation block below in the worker prompt.
Mandatory Git preparation
Before launching Codex, Claude Code, or OpenCode for work that modifies a Git-backed project:
- Establish the intended target repository, then select its canonical remote. Prefer
upstreamwhen it exists and matches that target; otherwise verifyorigin. Resolve the selected remote's default branch dynamically. Determine the target base from an explicit task branch or authoritative existing-PR metadata; for other shared branches, prove the configured/tracked base or ask. Use the canonical default only for new work with no other specified base. Stop if the repository, remote, or target base cannot be proven. - Classify the source ref as trusted or untrusted before any checkout or worktree creation. For contributor-controlled refs, use the repository's approved untrusted-PR sandbox/review workflow, which must own ref materialization inside the sandbox, or stop. The remaining steps and launch forms are for trusted refs only.
- For trusted new work, run
git fetch --prune <canonical>immediately before creating a new isolated worktree and branch from<canonical>/<targetBaseBranch>. - For trusted new work, verify the worktree's initial
HEADequals the fetched target-base SHA. Record the canonical remote, canonical default branch, target base branch, base SHA, worktree path, and branch. - For a trusted existing PR or shared branch, fetch the canonical target base and source branch immediately before creating an isolated worktree from the fetched source branch. Record that source ref and starting SHA, report its divergence from the refreshed target base, and do not automatically rebase, merge, reset, force-push, or otherwise rewrite shared history.
- Launch the worker in the isolated worktree, never the primary checkout. For OpenClaw, the primary checkout under
~/Projects/openclawremains forbidden.
For tasks that modify a Git-backed project, append this block to the worker prompt with real values:
Git preparation (mandatory before edits):
- canonical remote: <canonicalRemote>
- canonical default branch: <canonicalDefaultBranch>
- target base branch: <targetBaseBranch>
- fetched target base SHA: <targetBaseSha>
- preparation mode: <new work | existing PR/shared branch>
- checkout trust: trusted
- prepared source ref: <canonicalRemote/targetBaseBranch | fetched trusted source ref>
- prepared start SHA: <preparedStartSha>
- isolated worktree: <worktreePath>
- working branch: <branch>
- preparation receipt: <new work: `git fetch --prune <canonicalRemote>` ran immediately before creation from `<canonicalRemote>/<targetBaseBranch>` | existing branch: the canonical target base and trusted source ref were fetched immediately before the worktree was created from `<preparedSourceRef>` at `<preparedStartSha>`>
Before editing, verify the current directory is the isolated worktree and its initial HEAD equals <preparedStartSha>. For new work, that SHA must equal <targetBaseSha>. Never edit the primary checkout. For existing PR/shared-branch work, report divergence and do not rebase, merge, reset, force-push, or otherwise rewrite shared history unless explicitly asked.
Immediately before the final push or PR for newly authored work, run `git fetch --prune <canonicalRemote>` and `git merge-base --is-ancestor <canonicalRemote>/<targetBaseBranch> HEAD`. If the ancestry check fails, update the new branch onto the latest target base, rerun the relevant proof, and only then push without force. For existing PR/shared-branch work, report a failed ancestry check and follow the repository workflow without rewriting the branch.
For trusted refs, the launcher must create and verify the worktree before starting the editing worker; do not delegate worktree creation to that worker. The approved untrusted-PR workflow must instead own checkout and worktree materialization inside its sandbox. Never start a worker in ~/Projects/openclaw. Read-only tasks and non-project scratch work do not require the Git preparation block.
Notification block
Append this shape to every worker prompt with real values:
Notification route:
- channel: <notifyChannel>
- target: <notifyTarget>
- account: <notifyAccount or omit>
- reply_to: <notifyReplyTo or omit>
- thread_id: <notifyThreadId or omit>
When finished, send exactly one completion or failure message using:
openclaw message send --channel <channel> --target '<target>' --message '<brief result>'
Add --account, --reply-to, or --thread-id only when present above.
Do not use openclaw system event or heartbeat.
If no trustworthy route exists, say completion auto-notify is unavailable.
Launch forms
Write the worker prompt to a temp file first. This avoids shell quoting bugs when the required notification block contains quotes or newlines.
PROMPT=$(mktemp -t openclaw-worker-prompt.XXXXXX)
cat >"$PROMPT" <<'EOF'
Task.
<mandatory Git preparation block>
<notification block>
EOF
printf 'prompt file: %s\n' "$PROMPT"
Use $PROMPT when launching from the same shell/session. If using a separate tool call, substitute the printed path. The launch forms below are for trusted checkouts only; untrusted contributor refs require the repository's approved sandbox/review workflow.
Before the first Codex worker on a host, prepare a dedicated auth home in the
foreground. Do not copy auth.json or other credentials from ambient
~/.codex; authorize this home separately. Codex scopes both file and keyring
credentials by CODEX_HOME.
CODEX_WORKER_HOME="$HOME/.codex-coding-agent"
mkdir -p "$CODEX_WORKER_HOME"
if ! env -u CODEX_API_KEY -u CODEX_ACCESS_TOKEN -u OPENAI_API_KEY \
CODEX_HOME="$CODEX_WORKER_HOME" codex login status >/dev/null 2>&1; then
printf 'Codex coding-agent login required for %s\n' "$CODEX_WORKER_HOME"
env -u CODEX_API_KEY -u CODEX_ACCESS_TOKEN -u OPENAI_API_KEY \
CODEX_HOME="$CODEX_WORKER_HOME" codex login --device-auth
fi
printf 'Codex worker home: %s\n' "$CODEX_WORKER_HOME"
The login is an interactive foreground setup step, not a background worker. The launch command repeats the fixed, quoted home and removes ambient Codex and OpenAI auth overrides. Never export the worker home into the OpenClaw Gateway environment.
Codex:
bash pty:true background:true workdir:/path/isolated-worktree command:"env -u CODEX_API_KEY -u CODEX_ACCESS_TOKEN -u OPENAI_API_KEY CODEX_HOME=\"$HOME/.codex-coding-agent\" codex exec - < \"$PROMPT\""
Claude Code:
bash background:true workdir:/path/isolated-worktree command:"claude --permission-mode bypassPermissions --print < \"$PROMPT\""
OpenCode:
bash pty:true background:true workdir:/path/isolated-worktree command:"opencode run < \"$PROMPT\""
Long issue-to-PR work
- Create/reuse a GitHub issue as durable spec.
- Include issue URL, repo, canonical remote/default branch, target base branch/SHA, isolated worktree, working branch, expected PR, proof, and notification route.
- Include the mandatory Git preparation block, then tell the worker to implement, test, run review until no accepted actionable findings, and open the PR.
- Return issue URL and
sessionIdimmediately. - Monitor with
process; cancel through Task Registry if mirrored there.
Scratch Codex
Codex needs a trusted git repo. This throwaway scaffold is not project work and has no canonical remote, so the Git preparation block does not apply:
SCRATCH=$(mktemp -d)
git -C "$SCRATCH" init
PROMPT=$(mktemp -t openclaw-worker-prompt.XXXXXX)
cat >"$PROMPT" <<'EOF'
Build X.
<notification block>
EOF
printf 'prompt file: %s\n' "$PROMPT"
bash pty:true background:true workdir:$SCRATCH command:"env -u CODEX_API_KEY -u CODEX_ACCESS_TOKEN -u OPENAI_API_KEY CODEX_HOME=\"$HOME/.codex-coding-agent\" codex exec - < \"$PROMPT\""
Process actions
list: running/recent sessions.poll: status.log: output.submit: send input + Enter.write: raw stdin.paste: paste text.kill: terminate.
Status to user
- Say what started, where, and
sessionId. - Update only on milestone, worker question, error, user action needed, or finish.
- If killed, say why.
Frequently asked questions about Coding Agent
Similar skills
Quality Playbook Generator
Run comprehensive quality audits on any codebase.
PR Draft Summary
Automate PR summary generation for openai-agents-python.
Final Release Review
Streamline your release candidate audits with ease.
Unit Test Vue Pinia
Efficiently write and review unit tests for Vue 3 applications.
Slang Shader Expert
Optimize and integrate Slang shaders with ease.
Telemetry Standards
Ensure consistent event tracking in Supabase Studio.
