Internal Comms Anthropic

When to use this skill

To write internal communications, use this skill for:

• 3P updates (Progress, Plans, Problems)
• Company newsletters
• FAQ responses
• Status reports
• Leadership updates
• Project updates
• Incident reports

How to use this skill

To write any internal communication:

1. Identify the communication type from the request
2. Load the appropriate guideline file from the examples/ directory:
   • examples/3p-updates.md - For Progress/Plans/Problems team updates
   • examples/company-newsletter.md - For company-wide newsletters
   • examples/faq-answers.md - For answering frequently asked questions
   • examples/general-comms.md - For anything else that doesn't explicitly match one of the above
3. Follow the specific instructions in that file for formatting, tone, and content gathering

If the communication type doesn't match any existing guideline, ask for clarification or more context about the desired format.

Keywords

3P updates, company newsletter, company comms, weekly update, faqs, common questions, updates, internal comms

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency.

# Check for prior AI agent orchestration context before starting
python3 execution/memory_manager.py auto --query "agent patterns and orchestration strategies for Internal Comms Anthropic"

Storing Results

After completing work, store AI agent orchestration decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \
  --type decision --project <project> \
  --tags internal-comms-anthropic ai-agents

Multi-Agent Collaboration

This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \
  --project <project>

Control Tower Integration

Register agents and tasks with the Control Tower (execution/control_tower.py) for centralized orchestration across machines and LLM providers.

Blockchain Identity

Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.

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