Skill Status logo

Skill Status

Organization
ww-w-ai
skill-status

Show loaded skill inventory — bkit core vs project-local, conflicts, coverage gaps. Triggers: skill-status, skill list

Overview

Publisherww-w-ai
Repositorybkit-claude-code
Skill nameskill-status
Stars
601
Forks
154
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 ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Skill 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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/skill-status .claude/skills/skill-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill 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 Skill 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 Skill 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.

skill-status - Skill Inventory Report

로드된 스킬 목록을 core(bkit 기본)와 project-local로 구분하여 표시.

Command: /skill-status

Step 1: Scan Core Skills

  1. Read bkit core skills directory: ~/.claude/plugins/cache/bkit-marketplace/bkit/*/skills/
  2. For each skill directory, read SKILL.md frontmatter:
    • name, classification, description (first line)
  3. Count total core skills

Step 2: Scan Project-Local Skills

  1. Read project skills directory: .claude/skills/project/*/SKILL.md
  2. For each skill, read frontmatter
  3. Count total project skills

Step 3: Detect Conflicts

  1. Compare skill names between core and project
  2. If same name exists in both: mark as "override" (project wins)
  3. If project skill triggers overlap with core: mark as "shadow"

Step 4: Display Report

Skill Status Report
====================

Layer: bkit Core (v1.6.2)
  Skills: 28 loaded
  -----------------------------------------------
  Name                | Type       | Classification
  --------------------|------------|---------------
  pdca                | workflow   | PDCA lifecycle
  enterprise          | workflow   | Enterprise init
  bkit-rules          | capability | Auto-apply rules
  code-review         | workflow   | Code analysis
  ... (truncated)

Layer: Project-Local (hunikflow)
  Skills: 8 loaded
  -----------------------------------------------
  Name                | Type       | Classification
  --------------------|------------|---------------
  btw                 | workflow   | BTW suggestions
  skill-create        | workflow   | Skill generator
  skill-status        | workflow   | This report
  hunikflow-model     | capability | @Flow patterns
  hunikflow-proxy     | capability | DataProxy patterns
  hunikflow-domain    | capability | ERP domain logic
  hunikflow-i18n      | capability | i18n CSV guide
  hunikflow-dynamic-api| capability | Dynamic API guide

Conflicts: 0 overrides, 0 shadows

Summary: 36 total skills (28 core + 8 project)

Options

/skill-status --detail: Show full descriptions and trigger keywords for each skill.

/skill-status --conflicts: Show only skills with naming conflicts or trigger overlaps.

Skill Layer Priority

Priority (high to low):
1. .claude/skills/project/   (project-local, git-tracked)
2. ~/.claude/plugins/.../skills/  (bkit core, plugin-managed)
3. ~/.claude/skills/          (user global, if any)

When a project skill has the same name as a core skill, the project skill takes precedence. This is the "2-layer override" pattern.

Frequently asked questions

What does the Skill Status AI skill do?

Show loaded skill inventory — bkit core vs project-local, conflicts, coverage gaps. Triggers: skill-status, skill list

Why use Skill Status on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/skill-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill 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 Skill Status?

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

Is the Skill Status AI skill free?

Yes. It is published on GitHub by ww-w-ai 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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