Design Kanban Md Output

Community

antopolskiy

design-kanban-md-output

Preserve and evolve kanban-md table, compact, and JSON output contracts. Use when changing output defaults, format-selection flags or environment variables, renderers, fields, grouping, errors, or token efficiency. Do not use for TUI-only rendering or task/config YAML schemas.

Overview

Publisher	antopolskiy
Repository	`kanban-md`
Skill name	`design-kanban-md-output`
Stars	226
Forks	34
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 antopolskiy on GitHub. Read the source before you install it.

Installation

Install the Design Kanban Md Output 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.
https://github.com/antopolskiy/kanban-md/tree/main/.agents/skills/design-kanban-md-output
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/antopolskiy/kanban-md/tree/main/.agents/skills/design-kanban-md-output

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/antopolskiy/kanban-md.git /tmp/kanban-md
mkdir -p .claude/skills
cp -r /tmp/kanban-md/.agents/skills/design-kanban-md-output .claude/skills/design-kanban-md-output

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

Use it in TypingMind

Enable Design Kanban Md Output 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 Design Kanban Md Output 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 Design Kanban Md Output 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.

Design kanban-md output

CLI output serves humans, agents, and scripts. Treat the default, format selection, field names, record boundaries, and error shapes as user-facing contracts rather than incidental presentation.

Format roles

table is the default in both TTY and non-TTY environments. It is padded, readable output for interactive use.
compact is selected with --compact, --oneline, or KANBAN_OUTPUT=compact. It uses one record per line, avoids repeated JSON keys, and is optimized for agent context.
json is selected with --json or KANBAN_OUTPUT=json. It is the complete structured form for parsing, pipes, and integrations.

TTY auto-detection was intentionally removed because agents commonly execute in non-TTY environments and previously received verbose JSON by default. Do not restore implicit TTY-dependent selection without new evidence and an explicit compatibility decision.

Contract rules

Preserve explicit format flags and environment-variable behavior. Conflicting selectors must fail or resolve through the documented precedence, never silently vary with terminal state.
Keep compact output one-line-per-record and sufficiently self-describing for agents. Avoid repeated labels or decorative padding that materially increases token use.
Keep JSON complete and machine-oriented. Field removals, renames, type changes, and error-shape changes require compatibility analysis; additive fields still require documentation and tests.
Keep table output readable and stable enough for humans, while avoiding tests that prevent harmless spacing improvements unless alignment itself is the contract.
Do not publish precise token-savings claims without a current, reproducible measurement against the formats being compared.
Update README.md, command help, examples, and embedded skill references when output behavior changes.

Implementation and verification

Centralize semantic data before rendering so table, compact, and JSON surfaces do not drift. Test renderer behavior in internal/output/ and complete command selection in e2e/.

At minimum, cover:

the default format in non-TTY execution;
each explicit flag and supported KANBAN_OUTPUT value;
record contents and ordering for the changed command;
JSON fields/types and structured errors when affected;
compact one-record-per-line behavior;
--no-color or NO_COLOR when styling changes.

Follow test-kanban-md for the broader verification ladder. For the product and token-cost rationale, read docs/research/2026-08-25-kanban-md-design-principles-orientation.md.

Frequently asked questions

What does the Design Kanban Md Output AI skill do?

Why use Design Kanban Md Output on TypingMind?

Because you install it once and use it with any model. Design Kanban Md Output 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 Design Kanban Md Output in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antopolskiy/kanban-md/tree/main/.agents/skills/design-kanban-md-output. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Kanban Md Output?

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 Design Kanban Md Output?

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

Is the Design Kanban Md Output AI skill free?

Yes. It is published on GitHub by antopolskiy under the MIT 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

Design kanban-md output

Format roles

Contract rules

Implementation and verification

Frequently asked questions

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