Agent skill

Liteyuki Backend

by LiteyukiStudio in LiteyukiStudio/LiteyukiBot

Build, review, refactor, or release LiteyukiBot v7 backend code and first-party Python packages.

Custom licenceAuto-check passedFrontend & Design

Install Liteyuki Backend

skills CLI
$ npx skills add LiteyukiStudio/LiteyukiBot --skill liteyuki-backend -a claude-code

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

GitHub CLI
$ gh skill install LiteyukiStudio/LiteyukiBot liteyuki-backend --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/LiteyukiStudio/LiteyukiBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/liteyuki-backend .claude/skills/liteyuki-backend && 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
liteyuki-backend
GitHub stars
157
Token cost
~630 tokens
SKILL.md length
248 words
Files
6 (incl. references)
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Build, review, refactor, or release LiteyukiBot v7 backend code and first-party Python packages.

  • Works in 3 steps: Run git status -sb and inspect the code,… → Keep the checked Alpha13 implementation… → Run the smallest relevant validation…
  • Runtime migration
  • SKILL.md covers Start With Evidence and Non-Negotiable Boundaries
  • Calls git

What it does

Liteyuki Backend is an agent skill from LiteyukiStudio/LiteyukiBot. Build, review, refactor, or release LiteyukiBot v7 backend code and first-party Python packages. Use for kernel, Broker, daemon, Cordis, plugins, adapters, runtime migration, package boundaries, backend contracts, documentation governance, CI, or release work in this repository. Do not use for WebUI-only frontend work.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/architecture-direction.md` and `references/current-state.md`).

It sits in Frontend & Design. It works with Python. The repository describes itself as: 一个综合,All in One,轻量的机器人应用程式.

When your agent uses it

  • Runtime migration
  • Package boundaries
  • Backend contracts
  • Documentation governance

Example prompts

  • “/liteyuki-backend”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Run git status -sb and inspect the code, tests, metadata, workflow, and
  2. Keep the checked Alpha13 implementation separate from the approved
  3. Run the smallest relevant validation while editing, then expand validation

What it can do on your machine

Read from SKILL.md and the folder at commit 2ccd25a. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Liteyuki Backend loads about 630 tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~630
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 248 words (~630 tokens).

“canonical document that own the requested boundary.”

— opening of SKILL.md by LiteyukiStudio, Custom licence
name
liteyuki-backend

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in .agents/skills/liteyuki-backend of LiteyukiStudio/LiteyukiBot.

  • SKILL.md
  • agents/openai.yaml
  • references/architecture-direction.md
  • references/current-state.md
  • references/engineering-workflow.md
  • references/release-and-prs.md

Open the folder on GitHubat commit 2ccd25a

Compare with similar skills

Liteyuki Backend 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.

Liteyuki Backend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Liteyuki Backend this skillLiteyukiStudio/LiteyukiBot157—~630Automated safety check: PassCustom licence
Claude Desktop Chinese Localizationjavaht/claude-desktop-zh-cn7.5k—~1.6kAutomated safety check: PassMIT
DocsPrefectHQ/fastmcp28k—~1kAutomated safety check: PassApache-2.0
Language Injectionmicrosoft/data-formulator18k—~1.2kAutomated safety check: PassMIT
Jarvis Setupethanplusai/jarvis846—~2.5kAutomated safety check: NotesCustom licence
Ibm A11y Route Scanlangflow-ai/langflow155k—~1.6kAutomated safety check: PassMIT

Similar skills

  • Claude Desktop Chinese Localization

    javaht/claude-desktop-zh-cn

    Adds missing Simplified and Traditional Chinese translations to the Claude Desktop Chinese patch across three layers, then checks how many mappings actually hit.

    7.5k GitHub stars~1.6k tokensUpdated 5 days ago
    Frontend & DesignAuto-check passed
  • Docs

    PrefectHQ/fastmcp

    Write or revise a page under docs/ for gofastmcp.com. An agent skill from PrefectHQ/fastmcp.

    28k GitHub stars~1k tokensUpdated yesterday
    Frontend & DesignAuto-check passed
  • Language Injection

    microsoft/data-formulator

    Official

    LLM Agent 多语言注入规范。在修改 Agent 提示词、添加新的 Agent 端点、处理用户可见的后端消息(messagecode)时使用。

    18k GitHub stars~1.2k tokensUpdated 3 days ago
    Frontend & DesignAuto-check passed
  • Jarvis Setup

    ethanplusai/jarvis

    A skill your agent uses when helping someone install, configure, or debug a fresh clone of JARVIS (this repo) — especially "the mic doesn't work", "JARVIS says his language systems are down", any…

    846 GitHub stars~2.5k tokensUpdated 1 mo ago
    Frontend & DesignAuto-check: notes
  • Ibm A11y Route Scan

    langflow-ai/langflow

    Batch-scan Langflow frontend routes for accessibility issues using the Python IBM Equal Access scanner (scripts/a11y/a11yscan.py) and produce JSON/Markdown/HTML reports.

    155k GitHub stars~1.6k tokensUpdated yesterday
    Frontend & DesignAuto-check passed
  • Build Fluentqt Gui

    calvinhxx/Fluent-Qt

    Create, integrate, redesign, or fix C++ and PySide6 GUIs using FluentQt, including component and Gallery work.

    160 GitHub stars~1.6k tokensUpdated 3 days ago
    Frontend & DesignAuto-check passed

More from LiteyukiStudio/LiteyukiBot

  • Benchmark Tests

    LiteyukiStudio/LiteyukiBot

    Maintain LiteyukiBot v7 performance benchmarks and their deterministic tests.

    157 GitHub stars~449 tokensUpdated 1 mo ago
    Auto-check passed
  • Liteyuki Webui Frontend

    LiteyukiStudio/LiteyukiBot

    Build, review, or test LiteyukiBot v7's React/Vite WebUI under webui/ and its packaged static delivery in packages/webui/.

    157 GitHub stars~2.5k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Liteyuki Backend

What does Liteyuki Backend do?

Build, review, refactor, or release LiteyukiBot v7 backend code and first-party Python packages. Liteyuki Backend is an agent skill from LiteyukiStudio/LiteyukiBot. Build, review, refactor, or release LiteyukiBot v7 backend code and first-party Python packages.

When should I use Liteyuki Backend?

Liteyuki Backend fits situations like: runtime migration; package boundaries; backend contracts; documentation governance.

How do I install Liteyuki Backend in Claude Code?

Run `npx skills add LiteyukiStudio/LiteyukiBot --skill liteyuki-backend -a claude-code`. Or copy the skill folder (.agents/skills/liteyuki-backend in LiteyukiStudio/LiteyukiBot) into .claude/skills/liteyuki-backend in your project. Claude Code loads it when a task matches its description.

How do I install Liteyuki Backend in Codex?

Run `npx skills add LiteyukiStudio/LiteyukiBot --skill liteyuki-backend -a codex`. Or copy the skill folder (.agents/skills/liteyuki-backend in LiteyukiStudio/LiteyukiBot) into .agents/skills/liteyuki-backend in your project. Codex loads it when a task matches its description.

Can I use Liteyuki Backend 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 LiteyukiStudio/LiteyukiBot --skill liteyuki-backend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/liteyuki-backend, .gemini/skills/liteyuki-backend, .github/skills/liteyuki-backend and .opencode/skills/liteyuki-backend in your project.

What does Liteyuki Backend need to run?

Going by SKILL.md and its folder, Liteyuki Backend needs the command-line tools its instructions call (git). Our summary lists: Python 3.

Does Liteyuki Backend access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Liteyuki Backend 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 Liteyuki Backend use?

Liteyuki Backend has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Liteyuki Backend use?

About 630 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.

What are the alternatives to Liteyuki Backend?

Skills that share tags, products or a category with Liteyuki Backend: Claude Desktop Chinese Localization (javaht/claude-desktop-zh-cn, 7.5k stars), Docs (PrefectHQ/fastmcp, 28k stars), Language Injection (microsoft/data-formulator, 18k stars) and Jarvis Setup (ethanplusai/jarvis, 846 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Liteyuki Backend?

LiteyukiStudio (a GitHub organization) maintains it in LiteyukiStudio/LiteyukiBot, which has 157 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 2, 2026.

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