Llm Wiki Upgrade logo

Llm Wiki Upgrade

CommunityPopular
sdyckjq-lab
llm-wiki-upgrade

升级 llm-wiki 到最新版本。从 GitHub 拉取最新代码并通过官方 install.sh 升级核心主线。 网页、X、微信公众号、YouTube、知乎自动提取依赖默认不刷新;需要时再显式开启。 触发词:upgrade llm-wiki、更新 llm-wiki、llm-wiki 升级、llm-wiki update

Overview

Publishersdyckjq-lab
Repositoryllm-wiki-skill
Skill namellm-wiki-upgrade
Stars
2.5K
Forks
288
Bundled files
Instructions only
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 sdyckjq-lab on GitHub. Read the source before you install it.

Installation

Install the Llm Wiki Upgrade 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/sdyckjq-lab/llm-wiki-skill.git /tmp/llm-wiki-skill
mkdir -p .claude/skills
cp -r /tmp/llm-wiki-skill/platforms/claude/companions/llm-wiki-upgrade .claude/skills/llm-wiki-upgrade
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Llm Wiki Upgrade 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 Llm Wiki Upgrade 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 Llm Wiki Upgrade 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.

/llm-wiki-upgrade

升级 llm-wiki skill 到最新版本。

升级流程

Step 1:探测实际安装目录并读取当前版本

llm-wiki 可能装在 user 级($HOME/.claude/skills/llm-wiki)或 project/vault 级(<项目根>/.claude/skills/llm-wiki,如 Obsidian 仓库、团队共享仓库)。这里自适应探测真实路径,后续所有步骤都基于它。CLAUDE_PROJECT_DIR 在 agent 的 Bash 工具里通常为空,所以用「从当前工作目录逐级向上查找」兜底,找不到再回退 user 级。

bash
SKILL_DIR=""
# 1) Claude Code 注入的项目根(hooks/MCP 等场景)优先
if [ -n "$CLAUDE_PROJECT_DIR" ] && [ -f "$CLAUDE_PROJECT_DIR/.claude/skills/llm-wiki/CHANGELOG.md" ]; then
  SKILL_DIR="$CLAUDE_PROJECT_DIR/.claude/skills/llm-wiki"
fi
# 2) 从当前工作目录逐级向上查找最近的 .claude/skills/llm-wiki(覆盖会话在 vault 子目录的场景)
if [ -z "$SKILL_DIR" ]; then
  _d="$PWD"
  while [ "$_d" != "/" ]; do
    if [ -f "$_d/.claude/skills/llm-wiki/CHANGELOG.md" ]; then
      SKILL_DIR="$_d/.claude/skills/llm-wiki"
      break
    fi
    _d="$(dirname "$_d")"
  done
fi
# 3) 回退 user 级
if [ -z "$SKILL_DIR" ] && [ -f "$HOME/.claude/skills/llm-wiki/CHANGELOG.md" ]; then
  SKILL_DIR="$HOME/.claude/skills/llm-wiki"
fi
OLD_VERSION=$(grep -m1 "^## v" "$SKILL_DIR/CHANGELOG.md" 2>/dev/null | grep -oE 'v[0-9]+\.[0-9]+\.[0-9]+' | head -1 || echo "unknown")
echo "CURRENT_VERSION=$OLD_VERSION"
echo "SKILL_DIR=$SKILL_DIR"

如果 SKILL_DIR 为空(三个候选都没找到带 CHANGELOG.md 的 llm-wiki),告知用户尚未安装 llm-wiki,停止流程。

Step 2:Clone 最新版本到临时目录

bash
TMP_DIR=$(mktemp -d)
git clone --depth 1 https://github.com/sdyckjq-lab/llm-wiki-skill.git "$TMP_DIR/llm-wiki-skill" 2>&1
echo "CLONE_EXIT=$?"

如果 clone 失败(CLONE_EXIT 非 0),告知用户网络问题,停止流程。

Step 3:读取新版本号

bash
NEW_VERSION=$(grep -m1 "^## v" "$TMP_DIR/llm-wiki-skill/CHANGELOG.md" 2>/dev/null | grep -oE 'v[0-9]+\.[0-9]+\.[0-9]+' | head -1 || echo "unknown")
echo "NEW_VERSION=$NEW_VERSION"

如果 OLD_VERSION == NEW_VERSION,告知用户已是最新版本,清理临时目录后结束:

bash
rm -rf "$TMP_DIR"

Step 4:执行官方升级

从临时目录(带 .git)执行 install.sh --upgrade

注意:默认升级只更新知识库核心主线,不主动刷新网页、X、微信公众号、YouTube、知乎自动提取所需的可选依赖。

bash
bash "$TMP_DIR/llm-wiki-skill/install.sh" --upgrade --target-dir "$SKILL_DIR" --platform claude 2>&1
echo "UPGRADE_EXIT=$?"

如果 UPGRADE_EXIT 非 0,告知用户升级失败,展示关键信息,清理临时目录后停止流程。

Step 5:清理临时目录

bash
rm -rf "$TMP_DIR"

Step 6:展示更新内容

读取 $SKILL_DIR/CHANGELOG.md,提取 OLD_VERSIONNEW_VERSION 之间的变更,提炼 3-5 条用户最关心的变化。

如果新版包含“默认只装核心主线 / 可选提取器显式开启”这类变化,要明确告诉用户:

  • 现在默认升级不会主动刷新网页、X、微信公众号、YouTube、知乎自动提取能力
  • 如果用户需要这些自动提取能力,可以继续执行:
bash
bash "$SKILL_DIR/install.sh" --upgrade --target-dir "$SKILL_DIR" --platform claude --with-optional-adapters

输出格式:

text
llm-wiki $NEW_VERSION 升级完成(从 $OLD_VERSION)

更新内容:
- [变化1]
- [变化2]
- ...

如果需要开启或刷新网页 / X / 微信公众号 / YouTube / 知乎自动提取功能,可以告诉我执行带 --with-optional-adapters 的升级。

Frequently asked questions

What does the Llm Wiki Upgrade AI skill do?

升级 llm-wiki 到最新版本。从 GitHub 拉取最新代码并通过官方 install.sh 升级核心主线。 网页、X、微信公众号、YouTube、知乎自动提取依赖默认不刷新;需要时再显式开启。 触发词:upgrade llm-wiki、更新 llm-wiki、llm-wiki 升级、llm-wiki update

Why use Llm Wiki Upgrade on TypingMind?

Because you install it once and use it with any model. Llm Wiki Upgrade 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 Llm Wiki Upgrade in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sdyckjq-lab/llm-wiki-skill/tree/main/platforms/claude/companions/llm-wiki-upgrade. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Llm Wiki Upgrade?

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 Llm Wiki Upgrade?

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

Is the Llm Wiki Upgrade AI skill free?

It is published on GitHub by sdyckjq-lab. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇