coding-skill intermediate active

Codingagent

Coding one function at a time is slow. A coding agent plans and builds entire features.

What breaks without openclaw coding agent zaycv

Generated code auto-run in production without sandboxing. One-shot generation failing on large projects. Debugging done manually.

Multi-step code generation with chain-of-thought reasoning × 245-star active skill ÷ 15–25 minutes ÷ LLM key only = autonomous code production.

openclaw coding agent zaycv — what it actually does

01
Generates, debugs, and refactors code via OpenClaw coding agent
02
Plans complex features with multi-step chain-of-thought reasoning
03
Runs /code build a CLI todo app in Python on command
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Always sandboxes code execution — never auto-runs in production
05
Uses iterative prompting for large projects — not one-shot generation

Security check — openclaw coding agent zaycv

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.0 compatibility.

Quick start — openclaw coding agent zaycv in 15–25 minutes

Setup time: 15–25 minutes

!
You need:
  • OpenClaw core
  • LLM API key

Install the package:

clawhub install zaycv/codingagent
1
Set LLM_API_KEY in .env
2
Install skill
3
Run /code build a CLI todo app in Python
4
Review generated files

Troubleshooting openclaw coding agent zaycv

1
1. Always sandbox code execution — never auto-run generated code in production
2
2. Large projects need iterative prompting, not one-shot generation

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.0 intermediate Last updated: Oct 2025 ★ 245 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw coding agent zaycv

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Every feature built line by line is time a coding agent should have claimed. Install before the next prototype sprint starts from scratch.

Get it on GitHub →