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Internal Comms

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borghei
internal-comms

Plan, sequence, and pressure-test internal announcements before they send. Use when announcing a reorg, policy, or product change, drafting an all-hands or exec update, or deciding who hears what and in which order.

Overview

Publisherborghei
RepositoryClaude-Skills
Skill nameinternal-comms
Stars
856
Forks
154
Bundled files
10
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by borghei on GitHub. Read the source before you install it.

Installation

Install the Internal Comms AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/borghei/Claude-Skills/tree/main/business-operations/internal-comms
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/business-operations/internal-comms .claude/skills/internal-comms
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Internal Comms in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Internal Comms on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Internal Comms is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Internal Communications

Internal communication fails in predictable ways: the wrong people hear it first, the message explains the decision but not the consequence, and nobody tests the draft before it reaches 2,000 inboxes. This skill treats an announcement as an artifact with a blast radius, a sequence, and a pass/fail quality bar — not as a writing exercise.

The three levers are who hears it in what order, what the message must contain, and which channel carries it. Get those right and tone matters far less than people assume.

When to use this skill

  • Announcing a reorg, layoff, or leadership change where sequencing errors are unrecoverable
  • Rolling out a policy change (RTO, expenses, security, performance process) that people must act on
  • Communicating a product or system migration with a deadline and a required user action
  • Structuring a recurring all-hands or weekly exec update that currently reads as a status dump
  • Pressure-testing a draft before send: reading level, jargon density, missing elements
  • Deciding channel and cadence for a multi-week change programme rather than a one-shot email

Inputs the skill expects

  • The change itself: what is changing, effective date, whether it is reversible
  • Audience list with impact level (high / medium / low) and rough headcount per group
  • Draft text, if one exists (plain markdown or text is fine)
  • Constraints: embargo, legal review, regulatory disclosure, market-sensitivity
  • Available channels and which ones your org actually reads
  • Who can answer questions after send, and where

Clarify First

Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Blast radius — who is materially affected vs merely informed — this decides whether you need a cascade (manager-first) or a single broadcast, and cascades cost 3-5 days
  • Reversibility of the decision — reversible changes can be announced as proposals with a feedback window; irreversible ones must never be, because inviting input you will ignore is the fastest way to lose trust
  • Effective date and the required user action — sets every T-offset in the plan and determines whether the message is informational or instructional
  • Whether anything is legally or market-sensitive — embargo constraints override the ideal sequence and force simultaneous rather than cascaded delivery

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Workflows

Workflow 1 — Audit a draft before it sends

Run this on every announcement that reaches more than ~50 people. It takes 30 seconds and catches the failure modes that generate the most follow-up questions.

  1. Save the draft as JSON with title, body, audience, and channel.
  2. Run the auditor. It scores five required elements (what changed, why, who is affected, what to do, where to ask), reading grade, jargon density, and hedging.
  3. Fix every FAIL element. Treat WARN on reading grade as advisory unless the audience includes non-native speakers or frontline staff, in which case treat it as FAIL.
  4. Re-run until the score clears 75.
bash
python3 business-operations/internal-comms/scripts/announcement_auditor.py \
  --input business-operations/internal-comms/assets/sample_announcement.json \
  --min-score 75 --format text

Workflow 2 — Sequence a change communication

  1. Describe the change and list audiences with impact and headcount.
  2. Run the sequencer. It computes blast radius, orders audiences by a impact-then-influence rule, and assigns T-offsets in days relative to broadcast.
  3. Review the manager-enablement step — if the plan says you need one and you skip it, managers learn about the change from their own reports, which is the single most common reorg comms failure.
  4. Export the plan and assign an owner per step.
bash
python3 business-operations/internal-comms/scripts/comms_sequencer.py \
  --input business-operations/internal-comms/assets/sample_change.json \
  --format text

Workflow 3 — Pick the channel

  1. Characterise the message on six dimensions: urgency, complexity, audience size, sensitivity, whether it needs two-way discussion, and whether it needs a durable record.
  2. Run the scorer to rank channels and see which are actively disqualified.
  3. Use the top-ranked channel as the primary, and the highest-ranked durable channel as the system of record. Never let a chat message be the record.
bash
python3 business-operations/internal-comms/scripts/channel_fit_scorer.py \
  --input business-operations/internal-comms/assets/sample_message_profile.json \
  --top 4 --format json

Decision frameworks

Blast radius → sequence pattern [PROVEN]

Blast radius is the count of people whose work or employment changes, not the count who receive the email.

RadiusPatternLead time before broadcastManager enablement
1-10Direct 1:1 conversations, then quiet team noteSame dayNot needed
11-50Manager brief → team meetings → written follow-up1-2 daysRequired, 60-min session
51-250Exec brief → manager brief + FAQ → all-hands → written3-5 daysRequired, with talk track + FAQ
250+Add a pre-brief for informal influencers and a 2-week reinforcement cadence5-10 daysRequired, plus a manager Q&A channel

Escape hatch: legal embargo or market sensitivity collapses this to a simultaneous broadcast. When that happens, say so in the message — "we could not brief managers first because of disclosure rules" — rather than letting people infer carelessness.

The five required elements [PROVEN]

Every announcement of consequence answers these, in this order. A message missing any one of them generates a predictable class of follow-up question.

ElementMissing it producesMinimum bar
What changed"Wait, is this happening now or later?"One sentence, in the first paragraph, with the effective date
WhyRumour and worst-case theoryThe actual reason, including the constraint that forced it
Who is affectedEvery reader assumes it is themNamed groups, plus an explicit "if you are not in these groups, nothing changes for you"
What to doNothing happensAn action with a deadline, or the words "no action needed"
Where to askQuestions go to the wrong peopleA named human or channel, plus when they will respond

Message-type → structure [RECOMMENDED]

TypeLead withLengthFeedback window
Irreversible decision (reorg, layoff, shutdown)The decision300-500 wordsNone — do not solicit input
Reversible policyThe problem being solved400-700 words5-10 business days
Migration / deadlineThe action and the date200-350 wordsQuestions only
Celebratory / milestoneThe outcome and who did it150-250 wordsNone
Bad news (incident, miss)What happened, in plain words250-400 wordsPost-mortem link

Cadence for a multi-week change [RECOMMENDED]

Announce once and people forget; announce weekly and they tune out. The pattern that holds: T-0 announcement, T+3 days FAQ update, T+1 week manager check-in, T+2 weeks progress note, T+4 weeks close-out. Five touches, decreasing in length. See references/change-comms-cadence.md for the full grid including reinforcement channels.

Anti-Patterns

The Broadcast Ambush

Mistake: Sending a reorg or policy announcement to all-staff without briefing managers first. Why it happens: Leadership fears leaks, and a simultaneous send feels "fair" and egalitarian. Instead: Brief managers 24-48 hours ahead with a talk track and an FAQ, and tell them explicitly what they may and may not repeat. A manager who cannot answer their team's first question loses standing that takes months to rebuild. If leak risk is genuinely severe, compress the window to 2 hours rather than eliminating it.

Burying the Decision Under the Reasoning

Mistake: Opening with three paragraphs of market context before stating what is changing. Why it happens: The author wants the reader to reach the same conclusion they did, so they reconstruct their own reasoning path. Instead: State the decision in sentence one, then the reasoning. Readers who disagree will read the reasoning more carefully, not less. Context-first structure reads as though you are building a case, which signals defensiveness.

The Fake Consultation

Mistake: Announcing a settled decision with "we'd love your feedback" attached. Why it happens: It softens the delivery and feels more collaborative than a flat directive. Instead: If the decision is settled, say so: "This is decided. Here is what we considered." If input can genuinely change the outcome, say what specifically is still open and by when. Solicited-then-ignored feedback is measurably worse for trust than no consultation at all.

Jargon as Cushioning

Mistake: "We are realigning our operating model to better leverage synergies across pods." Why it happens: Abstraction makes uncomfortable news feel less blunt to the person writing it. Instead: Write the sentence a person would say out loud. The auditor flags jargon density above 2% of words; anything above that on a high-impact message means the draft is hiding something, and readers will assume the worst thing it could be hiding.

No Named Owner for Questions

Mistake: Ending with "reach out with any questions." Why it happens: Nobody wants to volunteer their calendar. Instead: Name a person or a specific channel and a response commitment ("#change-rto, answered within one business day"). Unrouted questions become hallway conversations, and hallway conversations become the version of the message people remember.

Files

FilePurpose
scripts/announcement_auditor.pyScores a draft on required elements, reading grade, jargon, hedging, and structure
scripts/comms_sequencer.pyBuilds an ordered, T-offset communication plan from a change description and audience list
scripts/channel_fit_scorer.pyRanks communication channels against a six-dimension message profile
references/announcement-archetypes.mdEight announcement archetypes with structure, length, and worked openings
references/change-comms-cadence.mdTiming grids, reinforcement schedules, and manager-enablement content
assets/announcement-template.mdFill-in template enforcing the five required elements
assets/comms-plan-template.mdSequencing plan table with owner, channel, and T-offset columns
assets/sample_announcement.jsonRunnable input for announcement_auditor.py
assets/sample_change.jsonRunnable input for comms_sequencer.py
assets/sample_message_profile.jsonRunnable input for channel_fit_scorer.py

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Internal Comms AI skill do?

Plan, sequence, and pressure-test internal announcements before they send. Use when announcing a reorg, policy, or product change, drafting an all-hands or exec update, or deciding who hears what and in which order.

Why use Internal Comms on TypingMind?

Because you install it once and use it with any model. Internal Comms is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Internal Comms in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/business-operations/internal-comms. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Internal Comms?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Internal Comms?

As many as you like. As long as a model supports skills, you can use Internal Comms with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Internal Comms AI skill free?

It is published on GitHub by borghei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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