An always-on autonomous development orchestrator that triages requests, decomposes complex tasks, and manages multi-model parallel execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claw-conductor
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 claw-conductor 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 Claw Conductor?
Claw Conductor is a sophisticated orchestration layer designed to streamline autonomous development within the ecosystem of Openclaw Skills. It acts as an intelligent intermediary that monitors communication channels, such as Discord, to automatically map user requests to specific project workspaces without requiring explicit invocation.
By utilizing an advanced triage system, Claw Conductor distinguishes between simple informational queries and intensive development tasks. For complex projects, it performs high-level decomposition, creates dependency graphs, and routes subtasks to the most capable AI models based on a proprietary scoring algorithm. This ensures that every part of a build, from database schemas to frontend components, is handled by the optimal agent.
Claw Conductor Use Cases
- Automating the end-to-end creation of complex software systems like dispatch portals or REST APIs via Discord.
- Managing multi-model development cycles where different subtasks require specialized AI capabilities.
- Implementing parallel execution for large codebases to reduce total build time.
- Maintaining project-specific context and automated git versioning across multiple concurrent workspaces.
How Claw Conductor Works
- The system detects an incoming message in a mapped Discord channel and identifies the associated project workspace.
- An intelligent triage phase determines if the request is a simple response mode query or a full development mode orchestration.
- Complex requests are decomposed into a series of independent subtasks, each assigned a category and complexity rating.
- The orchestrator builds a dependency graph and scores available AI models to route tasks to the best-fit provider.
- Up to five tasks are executed in parallel, respecting dependencies and avoiding file write conflicts.
- Outputs are merged, tested, and committed to git before being pushed to a remote GitHub repository.
Claw Conductor Setup
To integrate this tool into your environment for Openclaw Skills, follow these steps:
cd ~/.openclaw/skills
git clone https://github.com/johnsonfarmsus/claw-conductor.git
cd claw-conductor
./scripts/setup.sh
After installation, configure your config/agent-registry.json to define your available AI models, their capability ratings (0-5), and cost tracking preferences.
Claw Conductor Data Schema & Taxonomy
The skill organizes its operations through a centralized configuration and logging system:
| Component | Description |
|---|---|
| agent-registry.json | Defines model providers, context windows, cost per million tokens, and capability scores across 23 categories. |
| execution-log.json | Tracks the lifecycle of every task, including decomposition results, model selection, and success/failure logs. |
| Task Taxonomy | Categorizes work into specific types such as api-development, database-operations, and security-fixes. |
| Workspace Mapping | Maps Discord channel IDs to physical file paths on the host system (e.g., /root/projects/project-name). |
Claw Conductor Advanced Features
- Multi-project support for managing concurrent development requests across isolated workspaces.
- Dependency-aware scheduling that ensures foundational tasks (like database schema) complete before dependent features (like auth) begin.
- Intelligent file conflict detection that sequences tasks touching the same files while keeping others parallel.
- Automated result consolidation including conventional commit generation, test execution, and GitHub synchronization.
- Conservative fallback strategy that retries primary models before cascading to lower-priority runners-up.
SKILL.md
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