Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information supersedes old, or when building knowledge graph connections.
Curate and expand the awesome-autoresearch repository. Use when adding new autoresearch cases, collecting discussion evidence from X/Reddit/HN/blogs, promoting discussion items into main categories, refreshing README counts, or running periodic evidence sweeps.
Read, create, search, and manage notes in Obsidian vaults using the napkin CLI. Works directly on markdown files and canvas files — no Obsidian app required. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, work with tasks, tags, properties, daily notes, templates, bases, bookmarks, aliases, or canvas files from the command line.
Research topics by verifying actual source content. Use when asked to research or study links and documentation.
新闻站点内容提取。支持微信公众号、今日头条、网易新闻、搜狐新闻、腾讯新闻。当用户需要提取新闻内容、抓取公众号文章、爬取新闻、或获取新闻JSON/Markdown时激活。
Process raw inbound content (emails, voice memos, notes) into structured Obsidian vault records with proper frontmatter, wikilinks, and file placement.
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.
Interactive documentation guide - helps users explore and understand project documentation. Use when user asks about features, APIs, configuration, or wants to learn how something works. Retrieves focused docs and guides through them interactively.
Organizes repository documentation and keeps new docs in the correct location.
操作 MindOS 知识库：更新笔记, 搜索知识库, 整理文件, 执行SOP/工作流, 复盘, 追加CSV, 跨Agent交接, 路由非结构化输入到对应文件, 提炼经验, 同步关联文档. update notes, search knowledge base, organize, SOP, retrospective, CSV, handoff, route notes, distill experience. 仅 mindRoot 知识库内任务。不用于：改代码仓库/项目文档/KB 外路径。 核心概念：空间、指令(INSTRUCTION.md)、技能(SKILL.md)；笔记可承载指令与技能。 --- # MindOS 技能 <!-- version: 3.0.0 — CLI 优先，MCP 可选 --> ## CLI 命令 使用 `mindos file <子命令>` 完成所有知识库操作。加 `--json` 获取结构化输出。 | 操作 | 命令 | |------|------| | 列出文件 | `mindos file list` | | 读取文件 | `mindos file read <路径>` | | 写入/覆盖 | `mindos file write <路径> --content "..."` | | 创建新文件 | `mindos file create <路径> --content "..."` | | 追加内容 | `mindos file append <路径> --content "..."` | | 编辑段落 | `mindos file edit-section <路径> -H "## 标题" --content "..."` | | 标题后插入 | `mindos file insert-heading <路径> -H "## 标题" --content "..."` | | 追加 CSV 行 | `mindos file append-csv <路径> --row "列1,列2,列3"` | | 删除文件 | `mindos file delete <路径>` | | 重命名/移动 | `mindos file rename <旧> <新>` | | 搜索 | `mindos search "关键词"` | | 反向链接 | `mindos file backlinks <路径>` | | 最近文件 | `mindos file recent --limit 10` | | Git 历史 | `mindos file history <路径>` | | 列出空间 | `mindos space list` | | 创建空间 | `mindos space create "名称"` | > **MCP 用户：** 如果只有 MCP 工具（`mindos_*`），直接使用——工具的 schema 已自带说明。有 CLI 时优先用 CLI（更省 token）。 ### CLI 安装 ```bash npm install -g @geminilight/mindos # 远程模式：mindos config set url http://<IP>:<端口> && mindos config set authToken <token> ``` --- ## 规则 1. **先了解结构** — 列出知识库目录树，再搜索或写入。 2. **默认只读。** 只有用户明确要求保存、记录、整理、编辑时才写入。 3. **规则优先级**（从高到低）：用户当前指令 → `.mindos/user-preferences.md` → 最近目录 `INSTRUCTION.md` → 根 `INSTRUCTION.md` → 本技能默认。 4. **多文件编辑先出方案。** 展示完整变更列表，获批后再执行。 5. 创建/删除/移动/重命名后 → **自动同步相关 README**。 6. **写入前先读取。** 不基于假设写入。 --- ## 禁止事项（血泪教训） - **禁止写入知识库根目录**（除非明确要求）。根目录仅放治理文件，新内容放最合适的子目录。 - **禁止假设目录名。** 从实际目录树推断——知识库可能用中文名或扁平结构。 - **禁止用整文件覆盖做小修改。** 用 `mindos file edit-section` 或 `mindos file insert-heading` 做精准修改，整文件覆盖破坏 git diff。 - **禁止单关键词搜索。** 至少 2-4 个并行搜索（同义词、缩写、中英文变体）。 - **禁止未确认就修改 `INSTRUCTION.md` 或 `README.md`。**
Convert PDF, DOCX, XLSX, and text files to clean, structured Markdown. CJK-friendly, table-friendly, privacy-first.
Query and sync YApi interface documentation. Use when user mentions "yapi 接口文档", YAPI docs, asks for request/response details, or needs docs sync. Also triggers when user pastes a YApi URL that matches the configured base_url.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
