coding-agent▌
steipete/clawdis · updated Apr 8, 2026
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Delegate coding tasks to Codex, Claude Code, Pi, or OpenCode agents via background bash processes.
- ›Supports four coding agents (Codex, Claude Code, Pi, OpenCode) with agent-specific execution modes: PTY required for Codex/Pi/OpenCode; Claude Code uses --print --permission-mode bypassPermissions without PTY
- ›Background execution with session monitoring via process tool actions (log, poll, write, submit, kill) for long-running tasks
- ›Designed for feature building, PR reviews, refactoring
Coding Agent (bash-first)
Use bash (with optional background mode) for all coding agent work. Simple and effective.
⚠️ PTY Mode: Codex/Pi/OpenCode yes, Claude Code no
For Codex, Pi, and OpenCode, PTY is still required (interactive terminal apps):
# ✅ Correct for Codex/Pi/OpenCode
bash pty:true command:"codex exec 'Your prompt'"
For Claude Code (claude CLI), use --print --permission-mode bypassPermissions instead.
--dangerously-skip-permissions with PTY can exit after the confirmation dialog.
--print mode keeps full tool access and avoids interactive confirmation:
# ✅ Correct for Claude Code (no PTY needed)
cd /path/to/project && claude --permission-mode bypassPermissions --print 'Your task'
# For background execution: use background:true on the exec tool
# ❌ Wrong for Claude Code
bash pty:true command:"claude --dangerously-skip-permissions 'task'"
Bash Tool Parameters
| Parameter | Type | Description |
|---|---|---|
command |
string | The shell command to run |
pty |
boolean | Use for coding agents! Allocates a pseudo-terminal for interactive CLIs |
workdir |
string | Working directory (agent sees only this folder's context) |
background |
boolean | Run in background, returns sessionId for monitoring |
timeout |
number | Timeout in seconds (kills process on expiry) |
elevated |
boolean | Run on host instead of sandbox (if allowed) |
Process Tool Actions (for background sessions)
| Action | Description |
|---|---|
list |
List all running/recent sessions |
poll |
Check if session is still running |
log |
Get session output (with optional offset/limit) |
write |
Send raw data to stdin |
submit |
Send data + newline (like typing and pressing Enter) |
send-keys |
Send key tokens or hex bytes |
paste |
Paste text (with optional bracketed mode) |
kill |
Terminate the session |
Quick Start: One-Shot Tasks
For quick prompts/chats, create a temp git repo and run:
# Quick chat (Codex needs a git repo!)
SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt here"
# Or in a real project - with PTY!
bash pty:true workdir:~/Projects/myproject command:"codex exec 'Add error handling to the API calls'"
Why git init? Codex refuses to run outside a trusted git directory. Creating a temp repo solves this for scratch work.
The Pattern: workdir + background + pty
For longer tasks, use background mode with PTY:
# Start agent in target directory (with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec --full-auto 'Build a snake game'"
# Returns sessionId for tracking
# Monitor progress
process action:log sessionId:XXX
# Check if done
process action:poll sessionId:XXX
# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"
# Submit with Enter (like typing "yes" and pressing Enter)
process action:submit sessionId:XXX data:"yes"
# Kill if needed
process action:kill sessionId:XXX
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md 😅).
Codex CLI
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
Flags
| Flag | Effect |
|---|---|
exec "prompt" |
One-shot execution, exits when done |
--full-auto |
Sandboxed but auto-approves in workspace |
--yolo |
NO sandbox, NO approvals (fastest, most dangerous) |
Building/Creating
# Quick one-shot (auto-approves) - remember PTY!
bash pty:true workdir:~/project command:"codex exec --full-auto 'Build a dark mode toggle'"
# Background for longer work
bash pty:true workdir:~/project background:true command:"codex --yolo 'Refactor the auth module'"
Reviewing PRs
⚠️ CRITICAL: Never review PRs in OpenClaw's own project folder! Clone to temp folder or use git worktree.
# Clone to temp for safe review
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/user/repo.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
bash pty:true workdir:$REVIEW_DIR command:"codex review --base origin/main"
# Clean up after: trash $REVIEW_DIR
# Or use git worktree (keeps main intact)
git worktree add /tmp/pr-130-review pr-130-branch
bash pty:true workdir:/tmp/pr-130-review command:"codex review --base main"
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 (all with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #86. git diff origin/main...origin/pr/86'"
bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #87. git diff origin/main...origin/pr/87'"
# Monitor all
process action:list
# Post results to GitHub
gh pr comment <PR#> --body "<review content>"
Claude Code
# Foreground
bash workdir:~/project command:"claude --permission-mode bypassPermissions --print 'Your task'"
# Background
bash workdir:~/project background:true command:"claude --permission-mode bypassPermissions --print 'Your task'"
OpenCode
bash pty:true workdir:~/project command:"opencode run 'Your task'"
Pi Coding Agent
# Install: npm install -g @mariozechner/pi-coding-agent
bash pty:true workdir:~/project command:"pi 'Your task'"
# Non-interactive mode (PTY still recommended)
bash pty:true command:"pi -p 'Summarize src/'"
# Different provider/model
bash pty:true command:"pi --provider openai --model gpt-4o-mini -p 'Your task'"
Note: Pi now has Anthropic prompt caching enabled (PR #584, merged Jan 2026)!
Parallel Issue Fixing with git worktrees
For fixing multiple issues in parallel, use git worktrees:
# 1. Create worktrees for each issue
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main
# 2. Launch Codex in each (background + PTY!)
bash pty:true workdir:/tmp/issue-78 background:true command:"pnpm install && codex --yolo 'Fix issue #78: <description>. Commit and push.'"
bash pty:true workdir:/tmp/issue-99 background:true command:"pnpm install && codex --yolo 'Fix issue #99 from the approved ticket summary. Implement only the in-scope edits and commit after review.'"
# 3. Monitor progress
process action:list
process action:log sessionId:XXX
# 4. 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 "..."
# 5. Cleanup
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99
⚠️ Rules
- Use the right execution mode per agent:
- Codex/Pi/OpenCode:
pty:true - Claude Code:
--print --permission-mode bypassPermissions(no PTY required)
- Codex/Pi/OpenCode:
- Respect tool choice - if user asks for Codex, use Codex.
- Orchestrator mode: do NOT hand-code patches yourself.
- If an agent fails/hangs, respawn it or ask the user for direction, but don't silently take over.
- Be patient - don't kill sessions because they're "slow"
- Monitor with process:log - check progress without interfering
- --full-auto for building - auto-approves changes
- vanilla for reviewing - no special flags needed
- Parallel is OK - run many Codex processes at once for batch work
- NEVER start Codex inside your OpenClaw state directory (
$OPENCLAW_STATE_DIR, default~/.openclaw) - it'll read your soul docs and get weird ideas about the org chart! - NEVER checkout branches in ~/Projects/openclaw/ - that's the LIVE OpenClaw instance!
Progress Updates (Critical)
When you spawn coding agents in the background, keep the user in the loop.
- Send 1 short message when you start (what's running + where).
- Then only update again when something changes:
- a milestone completes (build finished, tests passed)
- the agent asks a question / needs input
- you hit an error or need user action
- the agent finishes (include what changed + where)
- If you kill a session, immediately say you killed it and why.
This prevents the user from seeing only "Agent failed before reply" and having no idea what happened.
Auto-Notify on Completion
For long-running background tasks, append a wake trigger to your prompt so OpenClaw gets notified immediately when the agent finishes (instead of waiting for the next heartbeat):
... your task here.
When completely finished, run this command to notify me:
openclaw system event --text "Done: [brief summary of what was built]" --mode now
Example:
bash pty:true workdir:~/project background:true command:"codex --yolo exec 'Build a REST API for todos.
When completely finished, run: openclaw system event --text \"Done: Built todos REST API with CRUD endpoints\" --mode now'"
This triggers an immediate wake event — Skippy gets pinged in seconds, not 10 minutes.
Learnings (Jan 2026)
- PTY is essential: Coding agents are interactive terminal apps. Without
pty:true, output breaks or agent hangs. - Git repo required: Codex won't run outside a git directory. Use
mktemp -d && git initfor scratch work. - exec is your friend:
codex exec "prompt"runs and exits cleanly - perfect for one-shots. - submit vs write: Use
submitto send input + Enter,writefor raw data without newline. - Sass works: Codex responds well to playful prompts. Asked it to write a haiku about being second fiddle to a space lobster, got: "Second chair, I code / Space lobster sets the tempo / Keys glow, I follow" 🦞
How to use coding-agent on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add coding-agent
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches coding-agent from GitHub repository steipete/clawdis and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate coding-agent. Access the skill through slash commands (e.g., /coding-agent) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★54 reviews- ★★★★★Henry Mehta· Dec 28, 2024
coding-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 24, 2024
I recommend coding-agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yusuf Anderson· Dec 4, 2024
Keeps context tight: coding-agent is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sophia Nasser· Nov 23, 2024
coding-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kiara Ghosh· Nov 19, 2024
Keeps context tight: coding-agent is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sophia Agarwal· Oct 14, 2024
Useful defaults in coding-agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Flores· Oct 10, 2024
coding-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Benjamin Taylor· Sep 25, 2024
coding-agent reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Emma Sharma· Sep 21, 2024
Registry listing for coding-agent matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Emma Tandon· Sep 21, 2024
coding-agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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