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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...

techwavedev/agi-agent-kit0installs4stars

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.md for detailed patterns and examples.

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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.

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