A specialized AI agent skill designed to turn SRS documentation into hands-on learning sessions through real-world code implementation and unit testing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install srs-learn
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 srs-learn 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 SRS Learn?
The SRS Learn skill is a developer-centric training tool designed to bridge the gap between static documentation and active codebase contribution. Part of the Openclaw Skills ecosystem, it guides users through the intricate architecture of the Simple Realtime Server (SRS), covering modules like State Threads (ST), protocols, and media processing.
By leveraging a "learning by doing" approach, it transforms knowledge base files into structured, interactive sessions where developers create, build, and debug unit tests to verify their understanding of the underlying media architecture. This skill ensures that users don't just read about SRS internals but actually execute and validate the code logic in a local environment.
SRS Learn Use Cases
- New contributors needing to understand the SRS codebase structure and media protocols.
- Developers wanting to master the State Threads (ST) coroutine library used within SRS.
- Engineers looking to extend SRS functionality by learning how to write and run standalone unit tests.
- Deep-diving into specific media architecture modules through hands-on debugging workflows.
How SRS Learn Works
- Identify the target knowledge base from available memory/srs-*.md files.
- Extract and summarize concrete learning sections for the user to choose from.
- Dynamically resolve the SRS_ROOT path and verify the presence of required specialized skills like st-develop.
- Walk through the code path and implement a new, standalone unit test for the chosen topic.
- Build and execute the test, ensuring a successful run before proceeding.
- Conduct a mastery check and provide a debugging walkthrough to solidify technical understanding.
SRS Learn Setup
To use this within Openclaw Skills, ensure you have the SRS repository cloned locally. Set the environment variable SRS_ROOT or ensure the workspace contains the trunk/src directory.
# Example: Set SRS root path
export SRS_ROOT=~/git/srs
# Ensure knowledge base files are present
ls memory/srs-*.md
Note: Ensure specialized skills like st-develop are also configured to handle specific module builds and verification steps.
SRS Learn Data Schema & Taxonomy
The skill organizes its educational content and tracking using the following structure:
| Component | Description |
|---|---|
| Knowledge Base | Markdown files located in memory/srs-*.md containing the core theory. |
| Unit Tests | Standalone .cpp files created within the SRS unit test directory for hands-on practice. |
| Metadata | Tracks session goals (overview, deep internals, debugging) and learning depth. |
| Build Artifacts | Binary outputs generated and verified during the build and run phases. |
SRS Learn Advanced Features
- Dynamic SRS_ROOT resolution for flexible workspace environments across different developer setups.
- Seamless integration with specialized module skills to handle complex build requirements.
- Automated debugging checklists that teach users how to isolate regressions and set breakpoints.
- Support for custom unit test creation or modification of existing test files based on user preference.
- Interactive mastery checks that verify conceptual understanding before moving to the next module.
SKILL.md
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