# Internal Comms Anthropic > Use when working with a set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal ... - Skill: `tomevault-io/internal-comms-anthropic` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/internal-comms-anthropic` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/internal-comms-anthropic/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/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](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency. ```bash # 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: ```bash python3 execution/memory_manager.py store \ --content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \ --type decision --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. ```bash python3 execution/cross_agent_context.py store \ --agent "" \ --action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \ --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. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.