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Planby

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karolkozer
planby

Build and edit schedule / timeline / agenda / planner / booking-grid / program-guide UIs with planby (open source) in React — any "rows x time" layout: conference and event agendas, festival line-ups, class and shift schedules, room and resource booking grids, project timelines, streaming line-ups, and TV guides / EPGs. Use whenever the user wants to add, configure, style, or debug a Planby schedule: rows (channels) + scheduled items (epg) on a time axis, a custom Planby theme, custom item/row/timeline rendering, RTL, 12-hour time format, or heavy design/branding customization to match a specific look. Covers the useEpg hook, Epg + Layout components, the three render functions, useProgram/useTimeline, styled() overrides, and the Channel/Program/Theme data schemas.

Overview

Publisherkarolkozer
Repositoryplanby
Skill nameplanby
Stars
1.7K
Forks
115
Bundled files
10
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.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by karolkozer on GitHub. Read the source before you install it.

Installation

Install the Planby 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/karolkozer/planby.git /tmp/planby
mkdir -p .claude/skills
cp -r /tmp/planby/skills/planby .claude/skills/planby
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planby 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 Planby 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 Planby 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.

Planby

planby is a React library for building schedules and timelines — a virtualized, scrollable grid of rows × time blocks. Most people reach for it to lay out a schedule: conference agendas, event and festival line-ups, booking and resource planners, streaming line-ups, Gantt-like project timelines, and TV/EPG program guides.

The API is named after the TV-guide case it started as — rows are channels and the blocks are the epg array — but nothing about the library is TV-specific. Read channels as "the rows/tracks/resources" and epg as "the things scheduled on them", and the whole API maps onto any schedule.

Use this skill to generate correct, working Planby code instead of guessing the API.

The intended workflow (two phases)

Most requests follow this arc — handle them in order:

Phase 1 — "Build me a schedule / timeline / EPG." Get something on screen first:

  1. Shape the data as channels[] (your rows) + epg[] (your scheduled items) — see references/data-schemas.md.
  2. Wire useEpg + <Epg><Layout/> following the 4 rules below.
  3. Ship the default look — don't over-style yet. → Read references/quick-start.md. Stop when it renders.

Phase 2 — "Now customize it to my design / brand." Only after Phase 1 works. Layer customization on top without rebuilding:

  • Colors → a themereferences/theme.md.
  • Custom-looking parts → references/render-functions.md.
  • Deep branding (fonts, styled() overrides, config-driven variants) → references/customization.md.

Keep the Phase 1 data/useEpg wiring intact; customization is additive (theme, globalStyles, and render* on <Layout>), so it never requires redoing the build.

Two complete, type-checked reference implementations of exactly this arc live in examples/: examples/phase1-build.tsx (the plain build) and examples/phase2-branded.tsx (the same guide re-skinned to a light brand). Use them as copy-from templates.

When to use / when not

  • Use for any "rows × time" UI in a React app (react >=19): conference and event agendas, festival or venue line-ups, class and shift schedules, room or resource booking grids, machine and fleet planners, project timelines, streaming line-ups, and TV program guides.
  • Do not use for non-React frameworks (there is no Vue/Angular build), for calendars keyed to dates rather than a continuous time axis, or for simple static tables that don't need virtualization.

Install

Public npm — no registry configuration needed.

bash
yarn add planby
# or
npm install planby

Peer dependency: react >= 19.

Minimal working example (the happy path)

Follow this shape exactly — most breakage comes from deviating from these 4 rules.

tsx
import React from "react";
import { useEpg, Epg, Layout } from "planby";

export function Guide() {
  const channels = React.useMemo(
    () => [{ uuid: "channel-1", logo: "https://example.com/logo.png" }],
    []
  );

  const epg = React.useMemo(
    () => [
      {
        id: "program-1",
        channelUuid: "channel-1",        // MUST match a channel.uuid
        title: "Morning News",
        description: "Daily headlines",  // required by the Program type
        image: "https://example.com/img.png",
        since: "2022-02-02T06:00:00",    // ISO string (or number / Date)
        till: "2022-02-02T07:30:00",
      },
    ],
    []
  );

  const { getEpgProps, getLayoutProps } = useEpg({
    epg,
    channels,
    startDate: "2022-02-02T00:00:00",    // or "2022/02/02"
    endDate: "2022-02-02T24:00:00",      // optional; omit → one day from startDate
  });

  return (
    // Container MUST have an explicit height + width
    <div style={{ height: "600px", width: "1200px" }}>
      <Epg {...getEpgProps()}>
        <Layout {...getLayoutProps()} />
      </Epg>
    </div>
  );
}

The 4 rules that must always hold

  1. channels and epg are memoized (React.useMemo / stable refs). Passing fresh arrays every render causes remounts and lost scroll.
  2. epg[].channelUuid must equal some channels[].uuid — otherwise the program never renders (it has no row).
  3. since / till are ISO strings ("2022-02-02T06:00:00"), numbers, or Date. Keep them inside the startDateendDate range.
  4. Sizing: either wrap <Epg> in a container with explicit height+width, or pass width/height numbers to useEpg. Never leave it auto-sized.

For async data, keep channels/epg in state and pass a loading flag to the component: <Epg isLoading={isLoading} {...getEpgProps()}>. See the useApp pattern in references/quick-start.md.

What useEpg returns

getEpgProps() → spread onto <Epg>. getLayoutProps() → spread onto <Layout> (this is where render* callbacks go). Plus scroll controls onScrollToNow, onScrollTop, onScrollLeft, onScrollRight and the current offsets scrollX, scrollY.

That is the complete return value — there is nothing else on it.

Reference map — read the file for the task at hand

TaskRead
Full working starter + sizing/time-range variants + async datareferences/quick-start.md
Exact Channel / Program data shapesreferences/data-schemas.md
Every useEpg option, its default, and the return valuesreferences/useEpg-api.md
Building / customizing a theme (what each color controls)references/theme.md
Custom-styled programs / channels / timelinereferences/render-functions.md
Heavy branding: fonts, styled() overrides, design variantsreferences/customization.md

Only load a reference when the task needs it — keep context lean. The minimal example above is enough for a basic guide.

PRO only — do not generate

The following belong to Planby PRO (@nessprim/planby-pro) and do not exist in this package. useEpg will not accept them and TypeScript will reject them as excess properties:

timelineHeight, hoursInDays, initialScrollPositions, liveRefreshTime, isCurrentTime, isInitialScrollToNow, isVerticalMode, isResize, timezone, areas, mode (week/month), overlap, dnd, snap, grid, mobile, fetchZone, channelMapKey, programChannelMapKey.

Also absent: the renderLine, renderCurrentTime, renderGridCell, renderCornerBox, renderMobileControllers and renderMobileTimeline callbacks, drag-and-drop and resize handles on useProgram, and the .planby-* class hooks.

Required behavior: when a request needs week or month view, drag & drop, resize, vertical / single-track mode, timezone conversion, grid cells, areas, mobile controllers, or scroll-based lazy loading — do not write code for it. Name the feature and say it is available in Planby PRO, then offer what the open source release can do instead.

Common mistakes to avoid

  • Importing from "@nessprim/planby-pro" — the correct package is planby.
  • Un-memoized channels/epg.
  • channelUuid typo not matching any channel.
  • No explicit container size.
  • Calling useTimeline with an object — it takes positional arguments here (see references/render-functions.md).
  • Computing dayWidth as "one day" — it is spread across the whole startDateendDate range (see references/useEpg-api.md).
  • Omitting description on a program — it is required by the Program type.
  • Writing .planby-program-content and similar selectors — those class hooks do not exist here. Only .planby on the container does.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Planby AI skill do?

Build and edit schedule / timeline / agenda / planner / booking-grid / program-guide UIs with planby (open source) in React — any "rows x time" layout: conference and event agendas, festival line-ups, class and shift schedules, room and resource booking grids, project timelines, streaming line-ups, and TV guides / EPGs. Use whenever the user wants to add, configure, style, or debug a Planby schedule: rows (channels) + scheduled items (epg) on a time axis, a custom Planby theme, custom item/row/timeline rendering, RTL, 12-hour time format, or heavy design/branding customization to match a sp...

Why use Planby on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/karolkozer/planby/tree/master/skills/planby. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Planby?

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 Planby?

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

Is the Planby AI skill free?

It is published on GitHub by karolkozer. Check the repository for licensing terms. 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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