Protocol Reverse Engineering
protocol-reverse-engineering
Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocol...
SKILL.md
Full skill instructions
Protocol Reverse Engineering
Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
Use this skill when
- Working on protocol reverse engineering tasks or workflows
- Needing guidance, best practices, or checklists for protocol reverse engineering
Do not use this skill when
- The task is unrelated to protocol reverse engineering
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
<!-- AGI-INTEGRATION-START -->
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.
# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Protocol Reverse Engineering"
Storing Results
After completing work, store workflow/automation decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
--type technical --project <project> \
--tags protocol-reverse-engineering workflow
Multi-Agent Collaboration
Share workflow state with other agents so they can trigger, monitor, or extend the automation.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
--project <project>
Playbook Engine
Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.
