A structured AI coding methodology that transforms AI agents into disciplined engineers through systematic planning and execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apollo-overview
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 apollo-overview 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 Apollo Methodology Suite?
The Apollo Methodology Suite is a comprehensive framework designed to bring engineering discipline to AI coding agents. Instead of jumping straight into code generation, Apollo enforces a structured workflow that guides the agent from initial brainstorming to final verification. It ensures that every step of the development process is intentional, documented, and validated, making it an essential addition to your Openclaw Skills library.
By leveraging specialized modules for brainstorming, planning, and debugging, the Apollo Methodology Suite turns a standard AI assistant into a robust engineering partner. It emphasizes a spec-first approach and test-driven development (TDD), ensuring that the resulting code is not only functional but also meets rigorous technical standards. It is the ultimate roadmap for navigating the journey from a raw idea to a production-ready product.
Apollo Methodology Suite Use Cases
- Developing new software features from scratch with high architectural integrity using Openclaw Skills.
- Debugging complex system issues using a structured four-stage root-cause analysis.
- Planning large-scale project migrations or refactors using automated task decomposition.
- Implementing test-driven development workflows where verification evidence is required before task completion.
How Apollo Methodology Suite Works
- Initiates the core pipeline starting with a Socratic brainstorming session to define project requirements and clear goals.
- Breaks down the high-level design into small, manageable tasks (2-5 minutes each) via the dedicated planning module.
- Dispatches subagents to execute tasks in parallel, maximizing efficiency through specialized Openclaw Skills automation.
- Enforces an engineering mode where evidence-based verification and TDD must be completed before any task is marked as finished.
- Synchronizes states via a robust state machine and synthesizes research results to provide a final, cohesive output.
Apollo Methodology Suite Setup
To integrate the Apollo Methodology Suite into your environment, ensure your agent has access to the relevant Openclaw Skills repository.
# Initialize the Apollo suite within your workspace
openclaw install apollo-methodology-suite
# Activate the engineering mode for your project
# This ensures all workflows follow the Apollo structure
apollo-mode --enable
Apollo Methodology Suite Data Schema & Taxonomy
The Apollo Methodology Suite organizes its operational data into a clear taxonomy to ensure transparency and recoverability across Openclaw Skills workflows:
| Component | Role | Primary Data Output |
|---|---|---|
| Brainstorming | Requirement Analysis | Functional specification markdown files |
| Planning | Task Decomposition | Granular task lists with 5-minute time estimates |
| Verification | TDD & Validation | Test logs, terminal output, and verification evidence |
| State Machine | Lifecycle Management | Session checkpoints for interrupted workflows |
| Research Synthesis | Knowledge Gathering | Consolidated documentation from multi-agent research |
Apollo Methodology Suite Advanced Features
- Parallel task dispatching allowing multiple subagents to work on independent modules simultaneously.
- Four-stage structured debugging workflow: Root Cause Analysis -> Pattern Identification -> Hypothesis Generation -> Verification.
- State-machine driven persistence allowing long-running tasks to be interrupted and resumed without loss of context.
- Dream-mode memory synthesis which optimizes project context for long-term development stability using Openclaw Skills.
- Timeout fault tolerance to prevent process hanging during complex multi-round agent interactions.
SKILL.md
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