# Internal Comms

> Write internal communications such as status reports, leadership updates, 3P updates, newsletters, FAQs, incident reports, and project updates using repeatable internal formats.

- Skill: `techwavedev/internal-comms` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add techwavedev/internal-comms`
- Raw SKILL.md: https://api.skillmd.com/api/skills/techwavedev/internal-comms/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Complete terms in LICENSE.txt
- Author: techwavedev (https://skillmd.com/u/techwavedev)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/techwavedev/internal-comms

---


## 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-INTEGRATION-START -->

## 🧠 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)

### Qdrant Memory Integration

Before executing complex tasks with this skill:
```bash
python3 execution/memory_manager.py auto --query "<task summary>"
```
- **Cache hit?** Use cached response directly — no need to re-process.
- **Memory match?** Inject `context_chunks` into your reasoning.
- **No match?** Proceed normally, then store results:
```bash
python3 execution/memory_manager.py store \\
  --content "Description of what was decided/solved" \\
  --type decision \\
  --tags internal-comms <relevant-tags>
```

### Agent Team Collaboration

- This skill can be invoked by the `orchestrator` agent via intelligent routing.
- In **Agent Teams mode**, results are shared via Qdrant shared memory for cross-agent context.
- In **Subagent mode**, this skill runs in isolation with its own memory namespace.

### Local LLM Support

When available, use local Ollama models for embedding and lightweight inference:
- Embeddings: `nomic-embed-text` via Qdrant memory system
- Lightweight analysis: Local models reduce API costs for repetitive patterns

<!-- AGI-INTEGRATION-END -->