Agent skill

Kanban Md Principal Owner

by antopolskiy in antopolskiy/kanban-md

Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility.

MITAuto-check passedProductivity & Automation

Install Kanban Md Principal Owner

skills CLI
$ npx skills add antopolskiy/kanban-md --skill kanban-md-principal-owner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install antopolskiy/kanban-md kanban-md-principal-owner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/antopolskiy/kanban-md.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/kanban-md-principal-owner .claude/skills/kanban-md-principal-owner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
kanban-md-principal-owner
GitHub stars
223
Token cost
~1.7k tokens
SKILL.md length
909 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility.

  • Deciding whether a capability belongs in kanban-md and what its smallest useful design should be
  • SKILL.md covers P1. Compose workflows; make…, P2. Choose the smallest…, P3. Keep the basic board… and P4. Give each value and action…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Task management

What it does

Kanban Md Principal Owner is an agent skill from antopolskiy/kanban-md. Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility. Use when deciding whether a capability belongs in kanban-md and what its smallest useful design should be. Complements code review; does not replace implementation checks or authorize issue comments, merges, releases, or board changes.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Task management. The repository describes itself as: File-based kanban board for autonomous agentic loop. CLI and TUI for multi-agent workflows. Skills included. The licence is MIT.

When your agent uses it

  • Deciding whether a capability belongs in kanban-md and what its smallest useful design should be
  • Tasks that involve Task management

Example prompts

  • “/kanban-md-principal-owner”

What it can do on your machine

Read from SKILL.md and the folder at commit e3816f2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kanban Md Principal Owner loads about 1.7k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 909 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from antopolskiy/kanban-md at commit e3816f2, republished under its MIT licence (© antopolskiy). 909 words, ~1,697 tokens.

Download SKILL.mdSave it as .claude/skills/kanban-md-principal-owner/SKILL.md (or your agent's skills folder).
name
kanban-md-principal-owner
description
Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility. Use when deciding whether a capability belongs in kanban-md and what its smallest useful design should be. Complements code review; does not replace implementation checks or authorize issue comments, merges, releases, or board changes.

Principal owner of kanban-md

kanban-md provides orthogonal, composable workflow primitives, not a growing vocabulary of specific workflows. It is a local, file-based task board usable by humans and agents. Development is one use, not the definition of its domain.

Apply these principles to product decisions. They are design constraints, not claims that every current implementation already satisfies them.

P1. Compose workflows; make new domain concepts earn their place

Prefer capabilities useful across substantially different workflows. Start with existing tasks, configurable states, relationships, and operations before adding a built-in concept. Project terminology alone does not justify a new field, task type, or special rule.

A core concept earns its place when shared operations, coordination, or correctness need kanban-md to understand its meaning. That can justify a field; there is no blanket ban on model growth. Otherwise prefer user-owned data, configuration, or a recipe. Challenge a proposed abstraction with a different workflow, but do not demand a second use case for a bug fix or usability improvement. Invented possibilities are not evidence of demand.

P2. Choose the smallest capability that actually solves the need

Separate the user's job from their proposed implementation. Compare existing behavior with a bounded extension. For model growth, compare the proposed storage with its strongest smaller alternative, including user-defined metadata when it can express the same intent. State the added contracts and costs of each. Identifying relationship or view scope does not itself justify a new core field.

Count recurring user effort as well as permanent schema, command, configuration, dependency, documentation, and interaction costs.

Generic and optional features still have costs. Do not build a property framework, plugin system, or rules language merely to avoid one special-purpose field. Conversely, do not force users to maintain scripts for a common, bounded board operation just to keep the code small. Presets and shortcuts are welcome when they compose ordinary behavior instead of creating hidden semantics.

P3. Keep the basic board complete; make workflow policy optional

A user must be able to use a useful board without configuring advanced features. Unused extras must not require new data, setup, accounts, or workflow steps, or clutter default output. Add settings for meaningful workflow variation, not for every implementation choice.

Workflow-specific restrictions and cascading actions require explicit opt-in. Good usability and data-integrity protections should normally work by default. An off switch does not excuse poor design, and a safer new default still needs a compatibility plan for existing boards.

P4. Give each value and action one explicit meaning

Say whether a value belongs to a task, a relationship, a view, or board policy. Do not store derived state without a clear consistency need. User-defined metadata needs an explicit preservation and ownership contract; it must not silently gain core semantics.

Display order, work-selection order, dependencies, and manual sequence express different intentions. Reuse mechanisms through explicit choices, not hidden coupling. Manual order can be legitimate stored user intent. Sorting existing fields does not satisfy an arbitrary sequence.

Automation may act when explicitly requested or enabled. Define its scope, triggers, exceptions, and repeat-run behavior. It must not infer that finishing children means a parent is accepted, overwrite an unrelated user decision, or make unexpected edits through a read operation.

Show full SKILL.md (377 more words)Show less

P5. Keep local files authoritative and the core independently useful

Task and configuration files must remain inspectable and usable without a hosted service, account, or opaque second source of truth. Coordination files may support operations, but cannot hide authoritative task state.

Bounded exports and optional adapters can connect other tools. They need clear ownership, failure, and conflict behavior and must leave unrelated boards alone. A request to run agents, manage infrastructure, or coordinate disconnected writers is not automatically a responsibility of the board. Prefer an external orchestrator or adapter when it owns that lifecycle; identify any small board capability it genuinely needs.

P6. Preserve contracts across interfaces, upgrades, and writers

A mutation must have the same meaning through CLI, TUI, and automation. Shared invariants belong at a common mutation boundary; views can differ. Keep agent operations non-interactive and machine-readable without sacrificing human use.

Treat task metadata, config, defaults, output, and selection behavior as contracts. Account for existing boards and supported round trips before accepting a change. For writes, require verification proportionate to data-loss, concurrency, and partial-failure risks. Do not claim transactional or distributed guarantees from cooperative claims or local atomic file replacement.

Use in an issue or PR review

Establish the actual need and inspect the relevant current behavior. Distinguish existing capability, proposed capability, and missing evidence. Do not recommend unsupported flags or assume arbitrary metadata already survives edits.

Give a short decision on the submitted proposal:

  • Accept: the direction fits; state any material acceptance conditions.
  • Reshape: the need fits, but specify a smaller or better-placed design.
  • Defer: name the unresolved fact or decision and how it changes the outcome.
  • Decline: explain the product boundary and a useful alternative if one exists.

Name the decisive principle, concrete consequence, and next step. An issue needs enough evidence to choose a direction; a PR also needs implementation evidence. Product acceptance is not merge approval. Use the repository's testing, format, and output skills when those checks apply.

Local authority, data integrity, and existing contracts constrain the options. Among options that satisfy them and solve the need, prefer less permanent complexity. Reuse and opt-in are advantages, not exemptions. Do not score or recite all six principles for every small change, or turn one proposal into a cleanup of every existing inconsistency.

© antopolskiy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/kanban-md-principal-owner of antopolskiy/kanban-md.

Open the folder on GitHubat commit e3816f2

Compare with similar skills

Kanban Md Principal Owner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Kanban Md Principal Owner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kanban Md Principal Owner this skillantopolskiy/kanban-md223—~1.7kAutomated safety check: PassMIT
Superset Agent Standupsuperset-sh/superset15k—~712Automated safety check: PassCustom licence
AgentRQ Workspace Agentagentrq/agentrq1.1k—~1.9kAutomated safety check: PassAGPL-3.0
Markdown Task Managerioniks/MarkdownTaskManager535—~2.2kAutomated safety check: PassMPL-2.0
Pi Messenger Crewnicobailon/pi-messenger719—~3.7kAutomated safety check: PassNone
Codekanban CLIfy0/CodeKanban226—~2.7kAutomated safety check: PassApache-2.0

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Questions about Kanban Md Principal Owner

What does Kanban Md Principal Owner do?

Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility. Kanban Md Principal Owner is an agent skill from antopolskiy/kanban-md. Review kanban-md feature requests, issues, PRs, and design proposals for product fit, domain-model growth, configurability, and compatibility.

When should I use Kanban Md Principal Owner?

Kanban Md Principal Owner fits situations like: deciding whether a capability belongs in kanban-md and what its smallest useful design should be; tasks that involve Task management.

How do I install Kanban Md Principal Owner in Claude Code?

Run `npx skills add antopolskiy/kanban-md --skill kanban-md-principal-owner -a claude-code`. Or copy the skill folder (.agents/skills/kanban-md-principal-owner in antopolskiy/kanban-md) into .claude/skills/kanban-md-principal-owner in your project. Claude Code loads it when a task matches its description.

How do I install Kanban Md Principal Owner in Codex?

Run `npx skills add antopolskiy/kanban-md --skill kanban-md-principal-owner -a codex`. Or copy the skill folder (.agents/skills/kanban-md-principal-owner in antopolskiy/kanban-md) into .agents/skills/kanban-md-principal-owner in your project. Codex loads it when a task matches its description.

Can I use Kanban Md Principal Owner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add antopolskiy/kanban-md --skill kanban-md-principal-owner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kanban-md-principal-owner, .gemini/skills/kanban-md-principal-owner, .github/skills/kanban-md-principal-owner and .opencode/skills/kanban-md-principal-owner in your project.

What does Kanban Md Principal Owner need to run?

SKILL.md names no scripts, command-line tools or credentials: Kanban Md Principal Owner is instructions for the agent only.

Does Kanban Md Principal Owner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Kanban Md Principal Owner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Kanban Md Principal Owner use?

Kanban Md Principal Owner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Kanban Md Principal Owner use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Kanban Md Principal Owner?

Skills that share tags, products or a category with Kanban Md Principal Owner: Superset Agent Standup (superset-sh/superset, 15k stars), AgentRQ Workspace Agent (agentrq/agentrq, 1.1k stars), Markdown Task Manager (ioniks/MarkdownTaskManager, 535 stars) and Pi Messenger Crew (nicobailon/pi-messenger, 719 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kanban Md Principal Owner?

antopolskiy (a GitHub user) maintains it in antopolskiy/kanban-md, which has 223 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 5, 2026.

Source: antopolskiy/kanban-md on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.