Bkit Explore

Organization

ww-w-ai

bkit-explore

Browse installed bkit skills, agents, and evals via lib/discovery/explorer.js (filesystem scan, no subprocess). Triggers: bkit explore, list skills, skill discovery, browse skills

Overview

Publisher	ww-w-ai
Repository	`bkit-claude-code`
Skill name	`bkit-explore`
Stars	601
Forks	154
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 Bkit Explore AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/bkit-explore .claude/skills/bkit-explore

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bkit Explore 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 Bkit Explore 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 Bkit Explore 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.

bkit Explore — Skill / Agent / Eval Discovery

v2.1.11 Sprint β FR-β1. Wraps lib/discovery/explorer.js to give Yuki + first-run users a single-command surface that answers "what's actually installed and how do I find it?"

Arguments

Argument	Description	Example
(none)	Show all categories with counts + first-line description	`/bkit-explore`
`<category>`	One of `starter`, `dynamic`, `enterprise`, `pdca-core`, `utility`	`/bkit-explore dynamic`
`evals`	List skills with an `evals/{cls}/{skill}/eval.yaml` definition	`/bkit-explore evals`
`--level <L>`	Filter by Starter / Dynamic / Enterprise (cumulative)	`/bkit-explore --level Starter`

Behavior

Default (no args) — full tree

Call explorer.listAll() to read skills/*/SKILL.md + agents/*.md.
Render category-grouped table: skill name + first-sentence description.
Footer: Total: N skills · M agents · K evals.

`<category>` — single bucket

Validate category against explorer.CATEGORIES.
Render skill table + agent table for that bucket only.
Suggest /bkit-explore --level Starter if user looks lost.

`evals` — eval coverage

Call explorer.listEvals() and group by classification (workflow, capability, hybrid).
Render counts + skill names per group.
Tip: /bkit-evals run <skill> to execute one.

`--level <L>` — Starter / Dynamic / Enterprise filter

Starter returns starter + pdca-core + utility.
Dynamic adds dynamic (cumulative).
Enterprise adds enterprise.

Output Layout (Design §5.1)


bkit Explore — 39 Skills · 36 Agents · K Evals
─────────────────────────────────────────────────
📂 starter (1 skill / 2 agents)
   /starter         — Static web kit
   🤖 starter-guide — Beginner agent
   🤖 pipeline-guide — Phase walk-through

📂 dynamic (8 skills / 2 agents)
   /dynamic           — bkend.ai fullstack
   /bkend-auth        — Authentication patterns
   ...
─────────────────────────────────────────────────
Footer: Try /bkit-explore --level Starter

Security

Pure filesystem scan — no child_process, no network.
category argument is validated against explorer.CATEGORIES (5-tuple whitelist); anything else returns null and renders a usage hint.
--level <L> validated against explorer.LEVELS (Starter / Dynamic / Enterprise).
Agent/skill descriptions read from local *.md files only — no remote fetch.

Module Dependencies

Module	Function	Usage
`lib/discovery/explorer.js`	`listAll()`	Default tree
`lib/discovery/explorer.js`	`listByCategory(cat)`	Single bucket
`lib/discovery/explorer.js`	`listByLevel(level)`	Cumulative filter
`lib/discovery/explorer.js`	`listEvals()`	`evals/` scan

Categories (Design §3.2)

Category	Scope
`starter`	Static web + beginner-onboarding skills/agents
`dynamic`	bkend.ai fullstack + Phase 1~6 build pipeline
`enterprise`	Architecture + Phase 7~9 deployment + audit
`pdca-core`	PDCA cycle + QA + PM agents
`utility`	Cross-cutting (bkit, control, audit, evals)

Examples

bash
# Full tree
/bkit-explore

# One category
/bkit-explore dynamic

# Cumulative level filter
/bkit-explore --level Starter

# Evals coverage
/bkit-explore evals

/bkit-evals run <skill> — execute eval suite for one skill
/control trust — trust score informs which categories you can self-serve
/pdca status — find your active feature

ARGUMENTS:

Frequently asked questions

What does the Bkit Explore AI skill do?

Browse installed bkit skills, agents, and evals via lib/discovery/explorer.js (filesystem scan, no subprocess). Triggers: bkit explore, list skills, skill discovery, browse skills

Why use Bkit Explore on TypingMind?

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

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

Which AI models can use Bkit Explore?

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 Bkit Explore?

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

Is the Bkit Explore 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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Bkit Explore

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

bkit Explore — Skill / Agent / Eval Discovery

Arguments

Behavior

Default (no args) — full tree

`<category>` — single bucket

`evals` — eval coverage

`--level <L>` — Starter / Dynamic / Enterprise filter

Output Layout (Design §5.1)

Security

Module Dependencies

Categories (Design §3.2)

Examples

Related

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

bkit Explore — Skill / Agent / Eval Discovery

Arguments

Behavior

Default (no args) — full tree

<category> — single bucket

evals — eval coverage

--level <L> — Starter / Dynamic / Enterprise filter

Output Layout (Design §5.1)

Security

Module Dependencies

Categories (Design §3.2)

Examples

Related

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

`<category>` — single bucket

`evals` — eval coverage

`--level <L>` — Starter / Dynamic / Enterprise filter