OpenClaw user creates 'feelslikeclaude' skill to improve ChatGPT agent workflow behavior

✍️ OpenClawRadar📅 Published: April 16, 2026🔗 Source
OpenClaw user creates 'feelslikeclaude' skill to improve ChatGPT agent workflow behavior
Ad

Workflow differences between Claude and ChatGPT in OpenClaw

A developer recently switched their OpenClaw setup from Claude to ChatGPT and discovered the primary difference wasn't about writing style or tone, but about workflow behavior. After using ChatGPT for real work, they identified specific execution gaps compared to Claude.

What the developer missed from Claude

  • Doing the obvious next step without requiring babysitting
  • Giving cleaner progress updates
  • Not stopping at the first blocker
  • Saying "done" when actually finished
  • Asking fewer unnecessary confirmation questions

The developer described Claude as feeling more like a "competent operator" while ChatGPT required more steering despite being capable.

Ad

The 'feelslikeclaude' clawhub skill

Instead of trying to replicate Claude's wording, the developer created a clawhub skill called feelslikeclaude to address workflow behavior. The skill focuses on pushing the agent toward better working habits rather than different conversational styles.

Key characteristics of the skill:

  • Doesn't call external APIs
  • Doesn't install anything
  • Doesn't try to literally impersonate Claude
  • Nudges behavior in a more useful direction

The goal is: "Less filler. More initiative. Better follow-through. Clearer done / blocked / next."

The developer noted that while the underlying model matters, the behavior layer on top is what users actually feel day-to-day in agent workflows.

📖 Read the full source: r/openclaw

Ad

👀 See Also

Local PII Redaction Skill for OpenClaw Uses GLiNER Model
Tools

Local PII Redaction Skill for OpenClaw Uses GLiNER Model

A new OpenClaw skill intercepts outgoing responses and runs them through the local nvidia/gliner-PII model to detect and redact sensitive information like API keys and PII, replacing them with labels like [API_KEY] and adding removal notices.

OpenClawRadar
Orion: Bypassing CoreML to Run and Train LLMs Directly on Apple Neural Engine
Tools

Orion: Bypassing CoreML to Run and Train LLMs Directly on Apple Neural Engine

Orion is an open-source Objective-C system that bypasses Apple's CoreML to run and train LLMs directly on the Apple Neural Engine (ANE), achieving 170+ tokens/s for GPT-2 124M decode and stable multi-step training on a 110M parameter transformer.

OpenClawRadar
ThumbGate Implements Tsinghua's Natural-Language Agent Harness Pattern for AI Safety
Tools

ThumbGate Implements Tsinghua's Natural-Language Agent Harness Pattern for AI Safety

The open-source tool ThumbGate implements the Natural-Language Agent Harness pattern from Tsinghua's NLAH paper, mapping four components: contracts to prevention rules from thumbs-down feedback, verification gates to PreToolUse hooks, durable state to SQLite+FTS5 lesson database, and adapters to MCP server adapters for multiple AI coding agents.

OpenClawRadar
Project Ledger: Human-in-the-Loop Memory System for AI Coding Agents
Tools

Project Ledger: Human-in-the-Loop Memory System for AI Coding Agents

A GitHub project introduces a YAML-based ledger system where humans curate what AI agents remember about codebases. It includes a /ledger skill, UserPromptSubmit hook for automatic context injection, and Haiku auditor review.

OpenClawRadar