Menu
Manage your Obsidian knowledge vault through MCP (Model Context Protocol). Read, write, search notes, manage tags and frontmatter, and track relationships between ideas.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Create, update, close, and report on Jira tickets. Reads JIRA_URL and JIRA_TOKEN from environment variables or .env file. Provides comprehensive guidance for Jira ticket lifecycle management, API integration, and automation workflows.
AI-powered clarity engine for job seekers and founders. Not a resume fixer — a thinking partner. Helps you find your north star sentence: who you are, what you do, and why it matters to someone else. Produces one core version and targeted variations for different audiences. Use before interviews, investor conversations, networking events, or any moment where you need to introduce yourself under pressure.
Review code for bugs, security issues, and improvements. Use when the user asks to: (1) review code or a diff, (2) check code quality, (3) find bugs or issues, (4) audit for security problems. Trigger on phrases like 'review this', 'check my code', 'any issues with this', 'code review'.
Full-lifecycle career advisor — self-discovery through career growth. Use when the user wants to: (1) discover identity, values, ikigai, or skills inventory, (2) define dream job or analyze career gaps, (3) close gaps via learning, certifications, portfolio, or personal branding, (4) build narrative hats or role-specific positioning, (5) search for jobs, generate resumes, or prepare for interviews, (6) onboard into a new role, track achievements, or generate self-reviews, (7) backfill past roles, run weekly recall, or check career readiness. Proactively nudges users to document achievements NOW — not when they need a resume. Consolidates the former career-resume, career-tracker, portfolio-strategy, and github-profile skills.
Synthesizes professional accomplishments into high-converting landing page content. Triggers when a user wants to build a landing page, launch a consulting service, productize their career expertise, create a service page, or monetize their skills. Also triggers on: "freelance", "consulting offer", "offer page", "service offering", "turn my experience into a business". Uses career-advisor data as the foundation.
Query Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers. Use when user mentions NotebookLM, shares a notebooklm.google.com URL, asks to query their notebooks/docs, or says "ask my NotebookLM", "check my docs", "query my notebook". Provides browser automation, notebook library management, and persistent auth. Drastically reduced hallucinations through document-only responses from Gemini.
| name | obsidian-knowledge |
| description | Manage your Obsidian knowledge vault through MCP (Model Context Protocol). Read, write, search notes, manage tags and frontmatter, and track relationships between ideas. |
This skill enables AI agents to interact with your Obsidian vault for knowledge management, memory tracking, and relationship mapping between notes.
"Your knowledge vault is your second brain. Let AI help you capture, connect, and retrieve insights across your personal knowledge base."
Use this skill when you need to:
Choose one of these setup methods:
The fastest way to get started:
See MANUAL-SETUP.md for detailed instructions.
The Obsidian MCP server provides these capabilities:
| Tool | Purpose |
|---|---|
obsidian_read_note | Read note content and metadata |
obsidian_update_note | Append, prepend, or overwrite notes |
obsidian_search_replace | Find and replace within a note |
obsidian_global_search | Search entire vault with text/regex |
obsidian_list_notes | List notes and directories |
obsidian_manage_frontmatter | Get, set, or delete YAML metadata |
obsidian_manage_tags | Add, remove, or list tags |
obsidian_delete_note | Remove files from vault |
Reference: See MCP-TOOLS.md for detailed tool usage.
When you have a new insight or learning:
Create a note in my vault at ideas/new-idea.md with the content...
Search for related concepts across your vault:
Search my vault for notes mentioning "machine learning" and "product development"
Use frontmatter to link related notes:
---
related:
- people/john-smith.md
- projects/ai-incubator.md
tags:
- insight
- collaboration
---
Append to daily notes:
Append today's learnings to my daily note...
Reference: See WORKFLOWS.md for more examples.
Recommended folder structure for the Unicorn my_knowledge vault:
my_knowledge/
├── daily/ # Daily notes and reflections
├── ideas/ # Captured insights and inventions
├── people/ # Relationship notes
├── projects/ # Project-specific knowledge
├── learning/ # Study notes and courses
├── news/ # Industry news and trends
└── templates/ # Note templates
"Use frontmatter related fields and consistent tagging to build a knowledge graph. Ask the AI to find notes with shared tags or related links to discover unexpected connections between ideas."