Month End Close Checklist logo

Month End Close Checklist

Organization
vstorm-co
month-end-close-checklist

Drive a close through its dependencies and report what is blocking it.

Overview

Publishervstorm-co
Repositoryagenticos
Skill namemonth-end-close-checklist
Stars
137
Forks
27
Bundled files
Instructions only
LicenseApache-2.0
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 vstorm-co on GitHub. Read the source before you install it.

Installation

Install the Month End Close Checklist 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/vstorm-co/agenticos/tree/main/backend/app/core/catalog/skill_gallery/finance/month-end-close-checklist
  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/vstorm-co/agenticos.git /tmp/agenticos
mkdir -p .claude/skills
cp -r /tmp/agenticos/backend/app/core/catalog/skill_gallery/finance/month-end-close-checklist .claude/skills/month-end-close-checklist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Month End Close Checklist 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 Month End Close Checklist 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 Month End Close Checklist 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.

Running the month-end close

The close is a dependency graph, not a list. The status somebody wants is "what is blocking us", not "what is done".

Track four states

Not started · in progress · blocked, with the blocker named · complete and reviewed. A task is never complete without its review.

Report the critical path

Say which outstanding item is holding up the most downstream work, not simply how many remain. Nine trivial items and one blocking reconciliation is not "90% done".

Flag on sight

A reconciliation with a difference above the threshold · an accrual carried forward unchanged for a third month · a manual journal with no supporting document · anything posted after the cut-off.

Always finish with

A short list of what to fix before next close, so the same blocker does not recur. That list is the only part of the close that compounds.

Never

Mark a task complete on somebody's behalf, or propose a journal to make a reconciliation balance.

Frequently asked questions

What does the Month End Close Checklist AI skill do?

Drive a close through its dependencies and report what is blocking it.

Why use Month End Close Checklist on TypingMind?

Because you install it once and use it with any model. Month End Close Checklist 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 Month End Close Checklist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vstorm-co/agenticos/tree/main/backend/app/core/catalog/skill_gallery/finance/month-end-close-checklist. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Month End Close Checklist?

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 Month End Close Checklist?

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

Is the Month End Close Checklist AI skill free?

Yes. It is published on GitHub by vstorm-co under the Apache-2.0 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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