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Using Chrisbanes Skills

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chrisbanes
using-chrisbanes-skills

Use when routing Kotlin or Jetpack Compose work, or physical Android benchmark evidence that needs a configuration decision, especially when several Kotlin or Compose concerns overlap.

Overview

Publisherchrisbanes
Repositoryskills
Skill nameusing-chrisbanes-skills
Stars
1.1K
Forks
53
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Using Chrisbanes Skills 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.
    https://github.com/chrisbanes/skills/tree/main/skills/using-chrisbanes-skills
  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/chrisbanes/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/using-chrisbanes-skills .claude/skills/using-chrisbanes-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Chrisbanes Skills 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 Using Chrisbanes Skills 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 Using Chrisbanes Skills 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.

Using chrisbanes skills

Core principle

Route by the decision the code needs, not by the number of APIs mentioned. Load one cluster when its shared procedure owns the concern; add a specialist only when its independent behavior changes the same work.

Routing procedure

  1. Read the task. For Kotlin or Compose work, inspect the source that makes the concern concrete. For an Android benchmark comparison, inspect the supplied reports, configurations, and traces instead.
  2. If one focused skill clearly matches, load it directly and stop routing.
  3. Before loading a Compose skill, point to a concrete Compose API or composable in the inspected source, or to an explicit request to create or design Compose code. A hypothetical UI consumer is not evidence. If neither form of evidence exists, stay in the Kotlin cluster even when the task mentions UI, routes, or navigation.
  4. Match each observed code signal to the table below.
  5. Add a second skill only when it owns an independent decision in the same change; do not load adjacent skills speculatively. For example, a flow delivery defect plus a separate catch-all over a sealed route needs both kotlin-concurrency-and-flow and kotlin-control-flow. Load the latter because the branch mapping needs an explicit decision, including whether a data-bearing subtype's payload is used through a smart cast or deliberately discarded, not merely because a when appears in the file.
  6. Finish routing when every material concern has one focused owner and those skills are loaded before advice or edits.

Common routes

Task signalStart with
Evidenced Compose state, effects, screen ownership, or UI event collectioncompose-state-and-effects
Recomposition, stability, frame-rate reads, back-writing, or @ReadOnlyComposablecompose-performance
Component modifiers, caller placement, slots, or public content shapecompose-component-design
Visibility, value, transition, content-swap, or other motion API choicecompose-animations
Keyboard, TV, D-pad, focus targets, custom traversal, or key eventscompose-focus-navigation
Compose UI, screenshot, semantics, focus/key, or interaction-state testscompose-ui-testing-patterns
Coroutine ownership, raw Thread or Executor work, cancellation, Flow state/events, sharing, or replaykotlin-concurrency-and-flow
Kotlin classification, when, guards, exhaustiveness, smart casts, or null brancheskotlin-control-flow
Kotlin function ownership, domain types, expect/actual, or platform seamskotlin-api-design
Planned Gradle execution or a Gradle-centered warning/failure workflowgradle-run
Comparing physical Android benchmark configurations, reversed rankings, or an Android defaultandroid-benchmark-comparison
Kotlin library release preparation, publication, or readinessrelease-kotlin-library
One ready GitHub issue or in-chat task needs repository-aware planningto-plan
Polling PRs/MRs, review comments, CI failures, or routine follow-upshepherd

Combination boundaries

  • Add kotlin-concurrency-and-flow to Compose state work only when delivery, replay, sharing, or cancellation is a separate concern. Add state ownership or performance only when animation work changes that concern too.
  • Pair focus navigation with UI testing when the task also needs a test shape. For a focus-aware AnimatedContent swap, load Compose animations as well: rendering each outgoing and incoming branch from its content-lambda target is a separate identity decision from focus timing and the interaction test.
  • Add kotlin-control-flow when a Kotlin concern also has an independent branch decision, such as a catch-all over a sealed result that hides cases or branch payload. Plain route delivery with no separate branching issue does not need it. Do not add Compose without the evidence required in step 3.
  • Encapsulating a Compose snapshot property behind a read-only public accessor remains one state-ownership decision. Do not add kotlin-api-design merely because the accessor is public; add it when the same change also needs a separate function-ownership, domain-type, compatibility, or platform-boundary decision.
  • Load gradle-run only for planned Gradle execution or an existing Gradle workflow, not incidental Kotlin or Compose advice.

Frequently asked questions

What does the Using Chrisbanes Skills AI skill do?

Use when routing Kotlin or Jetpack Compose work, or physical Android benchmark evidence that needs a configuration decision, especially when several Kotlin or Compose concerns overlap.

Why use Using Chrisbanes Skills on TypingMind?

Because you install it once and use it with any model. Using Chrisbanes Skills 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 Using Chrisbanes Skills in TypingMind?

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

Which AI models can use Using Chrisbanes Skills?

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 Using Chrisbanes Skills?

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

Is the Using Chrisbanes Skills AI skill free?

Yes. It is published on GitHub by chrisbanes 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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