Requirement Processor standardizes how Openclaw Skills turns unclear feature requests into validated, phased implementation plans and reusable project documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install requirement-processor
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 requirement-processor 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 Requirement Processor?
Requirement Processor is a process-focused Openclaw Skills tool for handling new feature requests and change requests with discipline, clarity, and traceability. It prevents premature coding by enforcing a "understand first, build later" workflow, ensuring every request is clarified, surveyed against the current codebase, and captured in a structured requirements document before implementation begins.
This Openclaw Skills workflow is designed for developer teams and AI coding agents that need a repeatable method for scoping work, prioritizing by P0/P1/P2, validating direction with the user, and closing the loop after delivery. The result is cleaner planning, fewer misunderstandings, stronger documentation, and a better foundation for phased execution.
Requirement Processor Use Cases
- New feature requests that are vague, incomplete, or open to interpretation
- Change requests that need impact analysis before any code is written
- Projects that require structured requirements documentation before implementation
- Teams that want phased delivery planning using P0 / P1 / P2 priority tiers
- AI coding workflows that must survey existing code, APIs, config, and architecture first
- Iterative product development where documentation must be updated after each implementation cycle
- Local, documentation-only planning workflows with no system command execution
How Requirement Processor Works
- Clarify the request: gather the minimum critical context, including current state, core goal, constraints, priorities, and target users.
- Survey the project: inspect existing features, data models, APIs, architecture, deployment style, and related files to capture current design decisions.
- Document the requirements: produce a structured
requirements.mdfile using the provided template, including background, goals, architecture, feature requirements, data model, APIs, security, phases, and deployment notes. - Validate with the user: present the document, confirm scope, check priorities, and identify omissions or misunderstandings.
- Plan implementation: break work into concrete steps based on the approved document, estimate workload, define the current session scope, and begin coding only after alignment.
- Iterate and close the loop: after implementation, record lessons learned, update the requirements document, log completed work, and carry insights into the
references/knowledge base.
Requirement Processor Setup
- Add the skill to your Openclaw Skills workspace or agent skill directory.
- Ensure the agent has read access to the project files it needs to inspect and write access to the working directory for documentation output.
- Confirm the project has a place to store requirements artifacts and references, such as
references/requirement-templates/,references/experience-notes/, andreferences/decision-log/. - Use the skill by asking the agent to process a new request through the clarification, survey, documentation, validation, and planning loop.
- When a requirements document is needed, save it using the recommended naming format:
project-name-requirements.md.
# Example repository layout for documentation artifacts
mkdir -p references/requirement-templates
mkdir -p references/experience-notes
mkdir -p references/decision-log
- No external services, package installation, or command execution is required; this is a document-first, local workflow skill.
Requirement Processor Data Schema & Taxonomy
Requirement Processor organizes information as a documentation-centric workflow rather than a runtime data model. Its primary artifact is a structured Markdown requirements file, supported by reusable reference notes.
| Artifact | Location | Purpose | Notes |
|---|---|---|---|
| Requirements document | project-name-requirements.md |
Main output for scoping and planning | Includes background, goals, architecture, features, data model, APIs, security, phases, and deployment |
| Requirement templates | references/requirement-templates/ |
Reusable document patterns | Useful for standardizing future requirement intake |
| Experience notes | references/experience-notes/ |
Post-implementation learnings | Captures lessons learned and process improvements |
| Decision log | references/decision-log/ |
Architecture and design decisions | ADR-style record of tradeoffs and rationale |
Requirements document structure
- Date and version header
- Background and current state
- Pain points and goals
- Overall architecture and key decisions
- Functional requirements with IDs and priorities
- Data model and ER/DDL notes
- API design table
- Frontend change overview
- Security considerations
- Implementation phases
- Deployment plan
- Open questions / unresolved items
Requirement Processor Advanced Features
- Enforces a no-code-before-clarity workflow that reduces implementation risk
- Supports phased delivery planning with P0, P1, and P2 prioritization
- Produces a reusable requirements.md template for consistent project intake
- Encourages closed-loop iteration by updating documentation after implementation
- Captures architectural decisions and experience notes in dedicated reference folders
- Designed for AI coding agents that need structured project context before writing code
- Purely local and documentation-first, with no network access or command execution
SKILL.md
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