Daily Featured Skills Count
5,117
5,165
5,205
5,241
5,288
5,316
5,330
05/10
05/11
05/12
05/13
05/14
05/15
05/16
♾️ Free & Open Source 🛡️ Secure & Worry-Free
Import Skills
Upload skills archive (zip/.skill)
▾
Import
MindOS 是用户的本地知识助手,也是跨会话、跨 Agent 共享的知识库。它保存决策记录、会议纪要、SOP、 排错经验、架构选型、调研结论和偏好设置。 仅 mindRoot 知识库内任务。不用于:改代码仓库、项目源码、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。 触发场景:保存或记录任何内容、搜索历史笔记或上下文、更新或编辑文件、整理或重组文件结构、 执行SOP或工作流、捕获对话中的决策、复盘或总结经验、追加表格或CSV数据、跨Agent交接上下文、 提炼经验教训、同步关联文档、查找之前是否讨论过某事、查询历史决策、查找模板或SOP、 为会议准备上下文、快速暂存到暂存台、整理暂存台、知识健康检查、检测知识冲突或矛盾、 查找过期内容。 触发词:帮我记下来、搜一下我的笔记、更新知识库、整理文件、执行工作流、保存到知识库、 记录一下、整理笔记、复盘、提炼经验、同步文档、查一下之前的记录、有没有相关的笔记、 我之前写过什么、把这个存起来、总结一下保存、交接给其他Agent、追加到表格、 放到暂存台、整理暂存台、知识健康检查、检测知识冲突。 主动行为——不要等用户提到 MindOS: (1) 用户的问题暗示可能存在历史记录(过去的决策、之前的讨论、会议纪要)→ 先搜 MindOS, 即使没有明确提到知识库。 (2) 完成有价值的工作后(修了 bug、做了决策、总结了经验、选定了架构、开完了会)→ 主动提议保存到 MindOS,方便以后查阅。 (3) 经历了较长或多主题的对话后 → 建议把关键决策和上下文持久化。 --- # MindOS 技能 <!-- version: 3.2.0 — 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
Creator Leaderboard
1
No data
--
2
No data
--
3
No data
--
4
No data
--
5
No data
--
6
No data
--
7
No data
--
8
No data
--
9
No data
--
10
No data
--
11
No data
--
12
No data
--
13
No data
--
14
No data
--
15
No data
--
16
No data
--
Skill File Structure Sample (Reference)
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
SKILL.md Requirements
├─ ⭐ 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
Why SkillWink?
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.
Keyword Search
Version Updates
Multi-Metric Ranking
Open Standard
Discussion
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.
FAQ
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
1. What are Agent Skills?
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.
2. How do Skills work?
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.
3. How can I quickly find the right skill?
Use these three together:
Semantic search: describe your goal in natural language.
Multi-filtering: category/tag/author/language/license.
Sort by downloads/likes/comments/updated to find higher-quality skills.
4. Which import methods are supported?
Upload archive: .zip / .skill (recommended)
Upload skills folder
Import from GitHub repository
Note: file size for all methods should be within 10MB.
5. How to use in Claude / Codex?
Typical paths (may vary by local setup):
Claude Code:~/.claude/skills/
Codex CLI:~/.codex/skills/
One SKILL.md can usually be reused across tools.
6. Can one skill be shared 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.
7. Are these skills safe to use?
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
8. Why does it not work after import?
Most common reasons:
Wrong folder path or nested one level too deep
Invalid/incomplete SKILL.md fields or format
Dependencies missing (Python/Node/CLI)
Tool has not reloaded skills yet
9. Does SkillWink include duplicates/low-quality skills?
We try to avoid that. Use ranking + comments to surface better skills:
Duplicate skills: compare differences (speed/stability/focus)
Low quality skills: regularly cleaned up