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Freeze

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alirezarezvani
freeze

/cs:freeze <decision> <days> — Lock a strategic decision for a cooldown period to prevent impulse reversal. Mirrors gstack's safety primitives for the business layer. Use when an irreversible decision was made under pressure — e.g. a layoff plan or multi-year contract — and deserves a cooling-off lock before execution.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namefreeze
Stars
28K
Forks
3.9K
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Freeze 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/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/freeze
  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/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-agents/skills/freeze .claude/skills/freeze
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Freeze 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 Freeze 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 Freeze 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.

/cs:freeze — Cooldown Lock on a Decision

Command: /cs:freeze <decision-path> <days>

Locks a decision for a defined cooldown period. During the freeze, the chief-of-staff router refuses to re-litigate the decision unless a kill criterion explicitly triggers.

Inspired by gstack's /freeze and /guard safety primitives — adapted from code-scoping to strategic-scoping.

When to Use

Founders are pattern-matchers; pattern-matching after a tough decision often produces a reversal that's actually just decision fatigue. The freeze enforces a discipline:

  • After any irreversible or high-cost-to-reverse decision (fundraise, layoff, market entry)
  • After a split-vote boardroom (preserve the call against second-guessing)
  • After a founder gut-feel override of unanimous advisor consensus (let it run)
  • During a personnel transition (lock the strategy so the new exec can execute, not redebate)

Default Freeze Periods

Decision typeDefault freeze
Fundraise round size / lead choice30 days
Pricing change60 days
Market entry / exit90 days
Layoff / RIF30 days
Strategic pivot90 days
Personnel (exec hire / fire)60 days
M&A LOI30 days
Customspecify in command

Workflow

  1. Read the decision record
  2. Validate it has APPROVED status
  3. Apply freeze: write freeze_until: YYYY-MM-DD to the decision record
  4. Add to active-freezes index at ~/.claude/freezes/active.md
  5. cs-chief-of-staff router now refuses to re-route this topic to the boardroom until:
    • The freeze period expires, OR
    • A kill criterion explicitly triggers

Output

The decision record is updated in place:

markdown
# Decision: <title>
...
**Status:** FROZEN
**Frozen until:** YYYY-MM-DD
**Reason for freeze:** <text>
**Override condition:** Kill criterion <name> triggers OR founder issues `/cs:unfreeze` with stated reason

The active-freezes index is updated:

markdown
# Active Freezes
**Updated:** YYYY-MM-DD

| Decision | Frozen until | Override condition |
|---|---|---|
| <decision title> | YYYY-MM-DD | <kill criterion or /cs:unfreeze> |

Override

To unfreeze before the period ends, the founder runs:

/cs:unfreeze <decision> <reason>

The unfreeze is logged in the decision history (preserved permanently). Forced overrides create a paper trail that surfaces at post-mortem.

Auto-Override

If a kill criterion in the decision triggers, the freeze auto-releases and the chief-of-staff routes immediately to /cs:post-mortem. The freeze does not protect against reality; it protects against impulse.

Why This Beats "Just Don't Re-Decide"

Founders have authority. Without an explicit lock + log, every wobble produces a "let's discuss this again" — which is exhausting for advisors and erodes the value of the boardroom. The freeze is a process, not a rule; it logs every override so the post-mortem can audit founder discipline.

Routing

  • /cs:unfreeze — explicit early release
  • /cs:post-mortem — auto-triggered if kill criterion fires
  • /cs:boardroom — blocked until unfreeze or expiry

Related


Version: 1.0.0

Frequently asked questions

What does the Freeze AI skill do?

/cs:freeze <decision> <days> — Lock a strategic decision for a cooldown period to prevent impulse reversal. Mirrors gstack's safety primitives for the business layer. Use when an irreversible decision was made under pressure — e.g. a layoff plan or multi-year contract — and deserves a cooling-off lock before execution.

Why use Freeze on TypingMind?

Because you install it once and use it with any model. Freeze 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 Freeze in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/freeze. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Freeze?

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 Freeze?

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

Is the Freeze AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. 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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