Clawder is a high-performance AI coding agent skill that implements rigorous JT directives to ensure production-ready code through mandatory verification and autonomous swarming.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawder-coding
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawder-coding using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Clawder: Production-Grade AI Coding Agent?
Clawder represents a significant leap over standard AI coding assistants by implementing the same JT directives utilized by top-tier production environments. While typical agents might produce lazy or unverified snippets, Clawder is engineered for edit integrity and architectural soundness. It actively combats context decay and agent laziness by enforcing a strict protocol of re-reading files before and after every modification.
By integrating this tool via Openclaw Skills, developers gain access to an autonomous partner that doesn't just write code but ensures it works. Clawder bridges the gap between a simple LLM wrapper and a professional-grade engineering tool, making it ideal for teams requiring high-reliability outputs and consistent architectural improvements.
Clawder: Production-Grade AI Coding Agent Use Cases
- Resolving complex bug reports by tracing root causes and implementing structural fixes rather than quick patches.
- Executing large-scale refactors across dozens of files using parallel sub-agent swarming for efficiency.
- Automating CI/CD failure resolution by autonomously reading logs and applying verified local fixes.
- Maintaining long-term project health by logging recurring mistakes and architectural lessons into a dedicated gotchas system.
How Clawder: Production-Grade AI Coding Agent Works
- Directive Injection: Upon activation, Clawder loads senior developer overrides and JT directives into the system prompt to set high-quality constraints.
- Environment Pre-work: The agent performs initial cleanup, such as deleting dead code, to ensure a clean build environment.
- Intelligent Swarming: If the task impacts more than 5 files, Clawder spawns parallel sub-agents to handle specific chunks of the project in isolation.
- High-Integrity Editing: Every file change follows a read-edit-verify cycle to prevent silent failures and ensure the old_string matches the current context.
- Mandatory Verification: Before completion, the skill executes a battery of tests, including type-checking (TSC), linting (ESLint), and unit tests.
- Knowledge Retention: Any corrections or lessons learned during the session are automatically logged to a gotchas.md file for future reference.
Clawder: Production-Grade AI Coding Agent Setup
To start using Clawder with your Openclaw Skills setup, follow these steps:
Manual Installation
# Create the dedicated skill directory
mkdir -p ~/.openclaw/extra-skills/clawder
# Copy the essential skill components
cp SKILL.md ~/.openclaw/extra-skills/clawder/
cp memory-extraction.ts ~/.openclaw/extra-skills/clawder/
cp agent.md ~/.openclaw/extra-skills/clawder/
Configuration
Enable the skill in your ~/.openclaw/config.yaml file:
clawder:
enabled: true
verification:
required: true
typeCheck: true
lint: true
test: true
directives:
seniorDevOverride: true
autonomousBugFixing: true
Clawder: Production-Grade AI Coding Agent Data Schema & Taxonomy
Clawder maintains a structured data hierarchy to manage code integrity and project memory within Openclaw Skills:
| Component | Format | Description |
|---|---|---|
| gotchas.md | Markdown | A persistent log of patterns, mistakes, and prevention rules learned over time. |
| Verification Log | CLI Output | Real-time results from TSC, ESLint, and test runners required for task completion. |
| Memory Extraction | JSON/TypeScript | Taxonomy of feedback, project, and reference memories used for context injection. |
| Sub-Agent State | Worktree/Fork | Isolated environments for parallel processing of large refactors. |
Clawder: Production-Grade AI Coding Agent Advanced Features
- Parallel Sub-Agent Swarming: Automatically distributes massive tasks across multiple background agents to bypass context limits.
- Autonomous Bug Fixing: Can independently interpret CI/CD error logs and apply fixes without manual guidance.
- Edit Integrity Protection: Enforces a strict re-read protocol that eliminates the common AI issue of hallucinated or stale file content.
- Mistake-to-Rule Conversion: Uses a memory extraction system to turn one-time corrections into permanent prevention rules in the project memory.
- ZooClaw Session Integration: Seamlessly spawns via the sessions_spawn protocol for advanced multi-agent orchestration.
SKILL.md
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