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Import Skills

fakechris fakechris
from GitHub Data & AI
  • 📄 SKILL.md

obsidian-vault-pipeline

使用 Obsidian Vault Pipeline 自动化整理知识库。 **触发场景:** - 用户说 "运行 WIGS 流程"、"整理 Obsidian Vault"、"处理知识库" - 用户说 "提取 Evergreen"、"更新 MOC"、"运行 Pipeline" - 用户提到 "整理笔记"、"知识管理"、"处理书签" - 用户说 "质检"、"质量检查"、"检查一致性" **Vault 位置设置:** 默认使用当前工作目录作为 vault 根目录,或通过 `--vault-dir` 参数指定。 只要用户提到 Obsidian、知识管理、WIGS、Pipeline、Evergreen、MOC 等关键词,就立即使用此 skill。 --- # Obsidian Vault Pipeline Skill ## 概述 此 skill 用于帮助用户运行 Obsidian Vault Pipeline 自动化知识管理流程。 ## 安装 ```bash pip install obsidian-vault-pipeline ``` ## Vault 位置设置 Pipeline 自动检测 vault 位置(按优先级): 1. **当前工作目录** - 默认使用 `cwd` 2. ** `--vault-dir` 参数** - 显式指定 3. **环境变量** - `VAULT_DIR` **最佳实践:** ```bash cd /path/to/my-vault # 进入 vault 目录 ovp --check # 检查环境 ovp --full # 运行完整 pipeline ``` ## 可用命令 | 命令 | 说明 | |------|------| | `ovp --check` | 检查环境配置 | | `ovp --init` | 初始化配置(交互式) | | `ovp --full` | 运行完整 pipeline | | `ovp-article --process-inbox` | 处理 50-Inbox/01-Raw/ 中的文章 | | `ovp-evergreen --recent 7` | 提取最近7天的 Evergreen 笔记 | | `ovp-moc --scan` | 扫描并更新 MOC 索引 | | `ovp-quality --recent 7` | 质量检查 | ## 标准操作流程 ### 1. 首次使用 ```bash # 进入 vault 目录 cd my-vault # 检查环境 ovp --check # 如果提示未配置,运行初始化 ovp --init ``` ### 2. 日常处理 ```bash # 放入新文章到 50-Inbox/01-Raw/ cp article.md my-vault/50-Inbox/01-Raw/ # 运行 pipeline ovp --full ``` ### 3. WIGS 完整性检查 ```bash # 5层一致性检查 ./60-Logs/scripts/check-consistency.sh # 自动修复低风险问题 ./60-Logs/scripts/repair.sh --auto ``` ## 配置文件 在 vault 根目录创建 `.env`: ```bash AUTO_VAULT_API_KEY=your_api_key AUTO_VAULT_API_BASE=https://api.minimaxi.com/anthropic AUTO_VAULT_MODEL=minimax/MiniMax-M2.5 ``` ## 触发词映射 | 用户说 | 执行命令 | |--------|----------| | "运行 WIGS 流程" | `./60-Logs/scripts/check-consistency.sh` | | "整理 Obsidian" | `ovp --full` | | "处理文章" | `ovp-article --process-inbox` | | "提取 Evergreen" | `ovp-evergreen --recent 7` | | "更新 MOC" | `ovp-moc --scan` | | "质量检查" | `ovp-quality --recent 7` | | "检查一致性" | `./60-Logs/scripts/check-consistency.sh` | ## 处理流程 ``` 50-Inbox/01-Raw/ → ovp-article → 20-Areas/深度解读 20-Areas/ →

0 87 7 days ago · Uploaded Detail →
kv0906 kv0906
from GitHub Testing & Security
  • 📄 SKILL.md

ask

Fast vault Q&A — quick lookups, decision history, blocker status, doc search. Uses QMD hybrid search when available, falls back to vault grep. Use for "/ask what did we decide about auth?" or "/ask who's blocked?".

0 75 6 days ago · Uploaded Detail →
vieiraae vieiraae
from GitHub Development & Coding
  • 📄 SKILL.md

obsidian-cli

Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.

0 39 5 days ago · Uploaded Detail →
eugeniughelbur eugeniughelbur
from GitHub Docs & Knowledge
  • 📁 commands/
  • 📁 hooks/
  • 📁 references/
  • 📄 architecture.md
  • 📄 install.sh
  • 📄 LICENSE

obsidian-second-brain

Operate any Obsidian vault as a living second brain. Use this skill whenever the user asks Claude to read, write, update, search, or manage their Obsidian vault — including saving notes from conversation, creating daily entries, updating kanban boards, logging dev work, managing people notes, capturing decisions, tracking deals, or maintaining any vault structure. Also triggers when the user wants to bootstrap a new vault from scratch, run a vault health check, or drop a _CLAUDE.md into their vault so all Claude surfaces share the same operating rules. Use proactively whenever the conversation produces information worth preserving (decisions, people met, projects started, tasks completed, lessons learned). --- # Obsidian Second Brain > Claude operates your Obsidian vault as a living OS — not a note-taking app. > Everything worth remembering gets saved. Every update propagates everywhere it belongs. --- ## Quick Start ### 0. Verify MCP is available This skill uses the [`mcp-obsidian`](https://github.com/calclavia/mcp-obsidian) MCP server. The tool names below (`get_file_contents`, `list_files_in_vault`, `search`, `append_content`, `write_file`) are specific to that package. If you are using a different Obsidian MCP server, tool names may differ — check that server's documentation. **If MCP vault tools are unavailable:** fall back to reading and writing files directly via the filesystem using standard file tools (Read, Write, Edit, Glob). The vault is plain markdown files — all operations can be done without MCP, just more verbosely. Tell the user: > "The obsidian-vault MCP server isn't connected — I'll read/write vault files directly instead. To enable MCP for faster vault access, run: `claude mcp add obsidian-vault -s user -- npx -y mcp-obsidian \"/path/to/your/vault\"`" ### 1. First time in a vault → read `_CLAUDE.md` Before doing anything in a vault, check if `_CLAUDE.md` exists at the vault root: ``` get_file_contents("_CLAUDE.md") ```

0 5 5 days ago · Uploaded Detail →
pifpof pifpof
from GitHub Research & Analysis
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md

ISO 42001 Gap Assessment

Conducts a structured gap assessment of an organization's readiness against ISO 42001:2023 (AI Management System standard). Runs an interview-style evaluation across all mandatory clauses (4-10) and applicable Annex A controls. Produces a scored gap assessment report saved to the vault, a draft Statement of Applicability, and a prioritized list of gaps to address before certification. Requires a vault created by /setup-iso42001-vault.

0 6 11 days ago · Uploaded Detail →
bloooi bloooi
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md

obsidian-cli

Interact with the Obsidian vault using only the `obsidian` CLI command via Bash. Use this skill when the user wants to read, create, edit, search, append, or manage notes in their Obsidian vault.

0 5 8 days ago · Uploaded Detail →
adrozdenko adrozdenko
from GitHub Tools & Productivity
  • 📄 SKILL.md

soleri-agent-dev

Use when the user says "add a facade", "new tool", "extend vault", "add brain feature", "new skill", or "extend agent". For extending the agent's own internals with vault-first knowledge gathering. --- # Agent Dev — Vault-First Internal Development Develop the agent's own internals with the vault as the primary source of truth. The vault knows more about the agent than any code scan or model training data. Always search the vault first, extract maximum context, and only then touch code. ## When to Use Any time the work target is the agent's own codebase: adding tools, extending facades, modifying vault operations, brain features, skills, or transport. Not for projects that merely _use_ the agent. ## Core Principle **Vault first. Before code. Before training data. Always.** The vault is the authoritative source for how the agent works. Do not rely on general knowledge from training data — it is outdated and lacks project-specific decisions. Do not scan the codebase to understand architecture — the vault already has it. ## Orchestration Sequence ### Step 1: Search the Vault (MANDATORY — before anything else) Before reading any source file, before making any plan, before offering any advice: ```

0 5 12 days ago · Uploaded Detail →

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