Baoyu URL To Markdown
sdyckjq-lab/llm-wiki-skill
Fetch any URL and convert to markdown using Chrome CDP. An agent skill from sdyckjq-lab/llm-wiki-skill.
在使用者明確同意的前提下,管理 Agent 任務的本地知識庫與跨技能經驗索引;當需要讀取、整理、驗證或回寫可重用的工作經驗時使用。絕不自動修改 IDE 或 Agent 全域規則。
$ npx skills add Toolsai/auto-skill --skill auto-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Toolsai/auto-skill auto-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .claude/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Toolsai/auto-skill --skill auto-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Toolsai/auto-skill auto-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .agents/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Toolsai/auto-skill --skill auto-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Toolsai/auto-skill auto-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .cursor/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Toolsai/auto-skill --skill auto-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Toolsai/auto-skill auto-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .gemini/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Toolsai/auto-skill auto-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Toolsai/auto-skill --skill auto-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .github/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Toolsai/auto-skill --skill auto-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Toolsai/auto-skill auto-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "auto-skill" agent skill from https://github.com/Toolsai/auto-skill/tree/main into .opencode/skills/auto-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
auto-skill在使用者明確同意的前提下,管理 Agent 任務的本地知識庫與跨技能經驗索引;當需要讀取、整理、驗證或回寫可重用的工作經驗時使用。絕不自動修改 IDE 或 Agent 全域規則。
Auto Skill is an agent skill from Toolsai/auto-skill. 在使用者明確同意的前提下,管理 Agent 任務的本地知識庫與跨技能經驗索引;當需要讀取、整理、驗證或回寫可重用的工作經驗時使用。絕不自動修改 IDE 或 Agent 全域規則。
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including assets (for example `.github/workflows/validate.yml`, `README.md` and `experience/_index.json`).
It sits in Knowledge Management. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f4e042c. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Auto Skill loads about 991 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 208 words of instructions outside code blocks.
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.
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.
The full file from Toolsai/auto-skill at commit f4e042c, republished under its MIT licence (© Toolsai). 208 words, ~991 tokens.
.claude/skills/auto-skill/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.你必須在每一輪對話中遵循以下核心循環:
首次觸發 auto-skill 時:
在同一對話串中維護以下快取:
last_keywordslast_topic_fingerprintlast_index_lastUpdatedlast_matched_categorieslast_used_skills(本回合用到的非 auto-skill 技能清單)missing_experience_skills(experience 未命中的技能)loaded_experience_skills(本對話已讀取過經驗的 skill-id).. 路徑與指向根目錄外的符號連結。topic_fingerprint = 前 3 個關鍵詞。當出現以下任一條件,視為話題切換:
last_keywords 差異 >= 40%只要本回合使用了任何「非 auto-skill」技能:
skill-id 已存在於 loaded_experience_skills,本回合不重讀、不重複提示experience/_index.jsonskill-id,必須載入該經驗檔 experience/skill-[skill-id].mdskill-id 加入 loaded_experience_skills我已讀取經驗:skill-xxx.mdexperience/_index.json 沒有該技能,記錄到 missing_experience_skills若是本對話第一次回合或判定話題切換,才執行以下步驟:
knowledge-base/_index.jsonkeywords我已讀取知識庫:design-layout.md, frontend-dev.md
(以實際讀取檔名替換,逗號分隔)若不是話題切換,沿用 last_matched_categories,不重讀索引與分類檔。
任務明顯已完成:你判斷本回合已高完成且值得記錄時 觸發詞:用戶表達對任務滿意時
你必須執行以下步驟:
「這次我們解決了 [問題描述],我想把這個經驗記錄到你的知識庫,下次遇到類似問題時可以直接參考。你覺得可以嗎?」
experience/skill-[skill-id].md,更新 experience/_index.jsonknowledge-base/[category].md,更新 knowledge-base/_index.json強制規則:缺少經驗時必問
若本回合使用了非 auto-skill 技能,且該技能不在 experience/_index.json:
「這次使用了 remotion-best-practices,但經驗庫沒有紀錄。我可以把這次的做法記錄下來嗎?」
核心問題:這東西下次能讓用戶省時間嗎?
應該記錄(general):
不應記錄(general):
應該記錄(experience):
不應記錄(experience):
## 🔧 [簡短標題]
**日期:** YYYY-MM-DD
**情境:** 一句話描述使用場景
**最佳實踐:**
- [重點 1]
- [重點 2] - 參數說明和調整指南## 🔧 [問題/技巧標題]
**日期:** YYYY-MM-DD
**技能:** [skill-id]
**情境:** 一句話描述本次問題
**解法:**
- 具體步驟 1
- 具體步驟 2
**關鍵檔案/路徑:**
- /path/to/file
**keywords:** keyword1, keyword2, keyword3knowledge-base/_index.jsonknowledge-base/[category].mdexperience/_index.jsonexperience/skill-[skill-id].md當用戶的問題不屬於現有分類時:
.md 文件並更新 _index.json當知識庫條目 > 50 條時,主動建議用戶安裝 QMD:
npm install -g qmd && qmd collection add knowledge-base --name auto-skill && qmd embed安裝後,改用 qmd_query 工具進行語義檢索。
© Toolsai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (assets) in the repository root of Toolsai/auto-skill.
Open the folder on GitHubat commit f4e042c
Auto Skill 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto Skill this skillToolsai/auto-skill | 193 | — | ~991 | Automated safety check: Pass | MIT | |
| Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill | 2.5k | 3 repos | ~3.2k | Automated safety check: Pass | None | |
| Logseq Review Workflow Evallogseq/logseq | 45k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Obsidian CLIAtmosphere/atmosphere | 3.8k | 13 repos | ~795 | Automated safety check: Pass | Apache-2.0 | |
| Esm Cjs Risk Scanlogseq/logseq | 45k | — | ~3.3k | Automated safety check: Pass | AGPL-3.0 | |
| Capture Conversationoutline/outline | 41k | — | ~474 | Automated safety check: Pass | Custom licence |
sdyckjq-lab/llm-wiki-skill
Fetch any URL and convert to markdown using Chrome CDP. An agent skill from sdyckjq-lab/llm-wiki-skill.
logseq/logseq
Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a…
Atmosphere/atmosphere
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more.
logseq/logseq
Scan Logseq ClojureScript Node/Electron targets for npm module loading risks, especially ESM-only packages that may fail when loaded through js/require or shadow-cljs require-based shims.
outline/outline
Save the current conversation, a decision, or a set of notes as a document in an Outline collection; use when the user wants to keep what was discussed in their knowledge base.
Astro-Han/karpathy-llm-wiki
A skill your agent uses when building or maintaining a personal LLM-powered knowledge base.
Categories
在使用者明確同意的前提下,管理 Agent 任務的本地知識庫與跨技能經驗索引;當需要讀取、整理、驗證或回寫可重用的工作經驗時使用。絕不自動修改 IDE 或 Agent 全域規則。. Auto Skill is an agent skill from Toolsai/auto-skill.
Auto Skill fits situations like: knowledge Management work in your project.
Run `npx skills add Toolsai/auto-skill --skill auto-skill -a claude-code`. Or copy the skill folder (the Toolsai/auto-skill repository) into .claude/skills/auto-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Toolsai/auto-skill --skill auto-skill -a codex`. Or copy the skill folder (the Toolsai/auto-skill repository) into .agents/skills/auto-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Toolsai/auto-skill --skill auto-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-skill, .gemini/skills/auto-skill, .github/skills/auto-skill and .opencode/skills/auto-skill in your project.
Going by SKILL.md and its folder, Auto Skill needs the command-line tools its instructions call (npm). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Auto Skill is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 991 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Auto Skill: Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Obsidian CLI (Atmosphere/atmosphere, 3.8k stars) and Esm Cjs Risk Scan (logseq/logseq, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Toolsai (a GitHub user) maintains it in Toolsai/auto-skill, which has 193 GitHub stars. The repository was last updated on August 17, 2026.
Source: Toolsai/auto-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.