Batch

Organization

ww-w-ai

batch

Process multiple features or tasks in parallel. Batch execution of PDCA commands across features. Triggers: batch, parallel, bulk, multiple features, 배치, 병렬, 대량 처리, バッチ, 並列, 一括処理, 批量, 并行, 批处理, lote, paralelo, procesamiento masivo, lot, parallèle, traitement en masse, Stapel, parallel, Massenverarbeitung, batch, parallelo, elaborazione di massa

Overview

Publisher	ww-w-ai
Repository	`bkit-gemini`
Skill name	`batch`
Stars	66
Forks	16
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 Batch 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-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/skills/batch .claude/skills/batch

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

Use it in TypingMind

Enable Batch 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 Batch 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 Batch 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.

Batch Skill

Process multiple features or tasks in parallel. Execute PDCA commands across multiple features in a single invocation.

Usage


/batch plan user-auth payment-system notification
/batch design user-auth payment-system
/batch analyze user-auth payment-system notification search
/batch report user-auth payment-system

Execution Model

Parse: Extract the command and feature list from arguments
Validate: Check that each feature has prerequisites for the requested command
Execute: Process each feature sequentially, tracking progress via Task Tracker
Report: Output a summary table showing status for each feature

Progress Tracking

Each feature creates a Task Tracker entry:

Task subject: [Batch {command}] {feature}
Status updates as each feature completes
Final summary shows pass/fail per feature

Error Handling

Fail-forward: If one feature fails, remaining features still execute
Error log: Failed features are collected and reported at the end
Retry option: Use --retry-failed to re-run only the failed features


/batch --retry-failed analyze user-auth payment-system

Output Format


Batch Execution Summary
----------------------------------------------
Command: plan
Features: 4 total | 3 success | 1 failed
----------------------------------------------
  user-auth        [OK]   docs/01-plan/features/user-auth.plan.md
  payment-system   [OK]   docs/01-plan/features/payment-system.plan.md
  notification     [OK]   docs/01-plan/features/notification.plan.md
  search           [FAIL] Missing prerequisite: project scope undefined
----------------------------------------------

Feature Discovery

If no features are specified, batch will auto-discover features from:

.pdca-status.json primary and secondary features
docs/01-plan/features/*.plan.md existing plan files
docs/02-design/features/*.design.md existing design files


/batch analyze          # auto-discovers all features
/batch report --all     # explicitly process all known features

Combination with Other Skills

Batch works with any PDCA subcommand and can be combined with loop:


/loop 1h batch analyze user-auth payment-system

Frequently asked questions

What does the Batch AI skill do?

Why use Batch on TypingMind?

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

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

Which AI models can use Batch?

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 Batch?

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

Is the Batch 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Batch Skill

Usage

Execution Model

Progress Tracking

Error Handling

Output Format

Feature Discovery

Combination with Other Skills

Frequently asked questions

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