coding-skill intermediate active

Coding Agent

Describing code tasks to an agent that can't write code wastes the whole conversation. The openclaw coding agent skill plans, writes, and tests end-to-end.

What breaks without openclaw coding agent skill

Half-finished code from generic LLM calls. Hallucinated package names. No plan-write-test loop.

Autonomous end-to-end code generation × 490-star skill ÷ 15–30 minute setup ÷ human review required = development velocity multiplied.

openclaw coding agent skill — what it actually does

01
Delegate coding tasks to an autonomous OpenClaw agent.
02
Agent plans, writes, tests, and iterates on code end-to-end.
03
Generate, refactor, debug, and document code in one workflow.
04
Always review generated code before running in production.
05
Works best with Claude or GPT-4 class models.

Security check — openclaw coding agent skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.1 compatibility.

Quick start — openclaw coding agent skill in 15–30 minutes

Setup time: 15–30 minutes

!
You need:
  • OpenClaw core
  • LLM API key (Claude or GPT-4 class recommended)
  • code execution environment

Install the package:

clawhub install steipete/coding-agent
1
Install skill
2
Set LLM_API_KEY in .env
3
Run /code build a REST endpoint for user login in Node.js
4
Agent plans, writes, and tests the code
5
Review output files

Troubleshooting openclaw coding agent skill

1
1. Always review generated code before running — never auto-execute in production
2
2. Agent may hallucinate package names — always verify imports exist

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.1 intermediate Last updated: Nov 2025 ★ 490 on GitHub MIT

Official docs →

View on GitHub →

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Coding tasks delegated without a proper agent waste LLM calls. Install the openclaw coding agent skill before the next feature build.

Get it on GitHub →