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Close Status

Community
davekilleen
close-status

Use when reporting the evidence-backed status of a named month-end or quarter-end close, its blockers, counted completion, and dependency path. Not for explaining budget variances; use variance-analysis.

Overview

Publisherdavekilleen
RepositoryDex
Skill nameclose-status
Stars
481
Forks
130
Bundled files
Instructions only
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 davekilleen on GitHub. Read the source before you install it.

Installation

Install the Close Status 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.
  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/davekilleen/Dex.git /tmp/Dex
mkdir -p .claude/skills
cp -r /tmp/Dex/packages/dex-agent-plugin/skills/_available/finance/close-status .claude/skills/close-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Close Status 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 Close Status 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 Close Status 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.

When to use

Use when a finance or leadership user asks where a specified close period stands, what evidence supports completion, what is blocked, or which dependencies determine the sequence. Confirm the period, close deadline, and checklist scope before counting.

Do not use this skill to post journal entries, change the close checklist, certify completion, assign owners, or approve an accounting treatment. Not for budget-versus-actual explanation, forecasting, or audit sign-off.

Inputs and source discipline

  1. Identify the period, fiscal calendar/timezone, checklist version, and deadline. Use the controller- or process-owner-approved authoritative checklist as the denominator source; record its source, source date, date checked, and as-of date. Never invent a deadline or silently substitute a remembered checklist.
  2. For each checklist row, capture its stable label, required evidence, current evidence source, source date, date checked, named owner only if explicitly recorded, and confidence. Prefer system/close evidence and dated owner confirmation over meeting notes; use notes to locate evidence, not to override it. Preserve contradictory sources.
  3. Keep the checklist's scope and exclusions explicit. If the authoritative checklist is missing, partial, or stale, report the denominator as unknown rather than calculating a completion percentage.

Method

  1. Work read-only from the authoritative checklist and build one row per required item. Count an item complete only when its required evidence is present, dated, in scope, and reconciled; a statement that work is probably done is not completion evidence.
  2. Assign mutually exclusive states from evidence: complete, in progress, blocked, not started, or unknown. Use blocked only for a known impediment or dependency; use unknown when evidence is absent, stale, or contradictory; use not started only when the source supports that state. Never convert missing evidence into not started.
  3. Report completed rows as a counted numerator over the checklist denominator. Show a percentage only when both are known and the counting rule is stated. Calculate days remaining only from a supplied deadline and the stated as-of date.
  4. Build the dependency graph from explicit row dependencies, deadlines, and evidence. Call a chain the critical path only when the dependency evidence supports that claim; without durations or ordering evidence, report a dependency chain and say criticality is unknown.

Truth and uncertainty rules

Use observed for a row state supported by dated evidence, inferred for a suggested dependency or interpretation, unknown for missing or insufficient evidence, stale for evidence outside the relevant freshness or period, and contradictory when sources disagree. State confidence, source, date, and as-of for each conclusion. Never invent dates, metrics, owners, intent, money, percentages, causes, status, or evidence. Recommendations are not human decisions.

Output contract

Return a status snapshot containing:

  • period, checklist source/version, close deadline, as-of date, and scope;
  • a row-level authoritative checklist with state, counted evidence, source/date, confidence, and explicitly sourced owner/dependency fields;
  • numerator/denominator and completion percentage only when valid;
  • separate blocked, unknown, and not-started lists, with the evidence or missing evidence;
  • the dependency-derived critical path or an explicit unknown; and
  • source register, stale inputs, unresolved contradictions, and read-only recommendations for human review. Do not label the close complete unless the counted evidence supports it.

Safety and write boundaries

Remain read-only by default. Do not edit the checklist, statuses, owners, accounting systems, or close records. If a write, export, or other action is requested, preview the exact target, changes, and side effects; redact secrets or unapproved personal/confidential content; wait for explicit confirm from the responsible human authority; then perform only that approved action.

Verification and recovery

Read back the status output and reconcile every row state and counted numerator to the checklist denominator. Re-check deadline arithmetic, dependency edges, source dates, and as-of scope; fail closed when a check cannot be performed. If a checklist or evidence source fails, preserve the last draft, mark affected rows unknown or blocked, record the failure, and rerun after refresh. Do not overwrite evidence or silently promote an inferred state to complete.

Frequently asked questions

What does the Close Status AI skill do?

Use when reporting the evidence-backed status of a named month-end or quarter-end close, its blockers, counted completion, and dependency path. Not for explaining budget variances; use variance-analysis.

Why use Close Status on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davekilleen/Dex/tree/main/packages/dex-agent-plugin/skills/_available/finance/close-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Close Status?

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 Close Status?

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

Is the Close Status AI skill free?

It is published on GitHub by davekilleen. 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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