A workflow-oriented skill that mandates defining success criteria and verification methods before any code is written by the AI agent.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sw-output-driven-dev
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 sw-output-driven-dev 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 Output-Driven Development Skill?
The Output-Driven Development skill is a foundational methodology for AI agents within the Openclaw Skills ecosystem. It shifts the focus from writing code to proving success by requiring agents to define clear, measurable criteria and verification plans before starting any implementation. This ensures that the agent fully understands the task and provides tangible evidence of completion rather than vague assurances.
By integrating this skill, developers can reduce hallucination and logic errors in AI-driven workflows. The skill enforces a rigorous discipline where a task is only considered complete once specific, reproducible verification steps—such as logs, test outputs, or CLI results—have been provided and validated.
Output-Driven Development Skill Use Cases
- Defining clear acceptance criteria for complex software features to avoid scope creep.
- Verifying API integrations by expecting specific response structures before declaring success.
- Ensuring system configurations meet technical requirements through automated check commands.
- Automating bug fixes where the agent must prove the fix works with reproducible test logs.
How Output-Driven Development Skill Works
- Define Output: The agent identifies exactly what the final result should look like through measurable criteria.
- Write Verification: A specific plan is created detailing how to prove the work is correct via commands, URL checks, or file audits.
- Build Phase: The agent implements the solution based on the established success criteria.
- Verify Results: The agent runs the verification plan and captures raw evidence or logs.
- Ship: The task is marked as finished only after all verification steps pass successfully.
Output-Driven Development Skill Setup
To activate this workflow, ensure your Openclaw Skills directory contains the skill definition. You can manually initialize the template in your workspace:
mkdir -p .ai/skills/odd-development
touch .ai/skills/odd-development/SKILL.md
Trigger the skill naturally by using phrases such as define success criteria or prove it works during your interaction with the agent.
Output-Driven Development Skill Data Schema & Taxonomy
This skill utilizes a structured Markdown template to organize task lifecycle data and maintain accountability:
| Section | Purpose |
|---|---|
| Success Criteria | A checklist of specific, measurable goals for the task. |
| Verification Plan | A numbered list of technical steps (e.g., shell commands) to validate criteria. |
| Build Log | A record of implementation details and changes made. |
| Verification Results | A final status report (PASS/FAIL) accompanied by raw evidence or logs. |
Output-Driven Development Skill Advanced Features
- Multi-step verification loops where failed checks trigger an automatic fix-and-reverify cycle.
- Evidence-based reporting that prioritizes raw logs and test output over natural language descriptions.
- Support for cross-agent validation within the Openclaw Skills framework to ensure consistency.
- Integration with CI/CD triggers to verify local changes before pushing to remote repositories.
SKILL.md
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