A skill your agent uses when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

ISCAuto-check passedAI & LLM Engineering

Install Index

skills CLI
$ npx skills add thoreinstein/gemini-obsidian --skill index -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thoreinstein/gemini-obsidian index --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thoreinstein/gemini-obsidian.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/index .claude/skills/index && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
index
GitHub stars
102
Token cost
~184 tokens
SKILL.md length
76 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
ISC

At a glance

A skill your agent uses when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

  • The user wants to index their vault for semantic search
  • SKILL.md covers Default Action, Force Reindex, Single File and After Indexing
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Rebuild the RAG index

What it does

Index is an agent skill from thoreinstein/gemini-obsidian. Use when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

Its SKILL.md is about 180 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. It works with Obsidian. The repository describes itself as: A Gemini CLI extension for interfacing with an Obsidian vault with local first RAG capabilities. The licence is ISC.

When your agent uses it

  • The user wants to index their vault for semantic search
  • Rebuild the RAG index

Example prompts

  • “reindex”
  • “rebuild index”
  • “/index”

What it can do on your machine

Read from SKILL.md and the folder at commit 9156cba. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Index loads about 184 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 76 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~184

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from thoreinstein/gemini-obsidian at commit 9156cba, republished under its ISC licence (© thoreinstein). 76 words, ~184 tokens.

Download SKILL.mdSave it as .claude/skills/index/SKILL.md (or your agent's skills folder).
name
index
description
Use when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

Index Vault

Trigger vault indexing for semantic search (RAG).

Default Action

Call obsidian_rag_index with no special arguments. This runs an incremental index — only changed files are re-embedded.

Force Reindex

If the user says "force" or "rebuild from scratch":

  • Call obsidian_rag_index with force_reindex: true

Single File

If the user specifies a file:

  • Call obsidian_rag_index with file_path set to the relative path

After Indexing

Report the result: how many chunks were indexed, whether it was incremental or full.

© thoreinstein, ISC. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/index of thoreinstein/gemini-obsidian.

Open the folder on GitHubat commit 9156cba

Compare with similar skills

Index 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.

Index compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Index this skillthoreinstein/gemini-obsidian102—~184Automated safety check: PassISC
Vault Contextual RetrievalAgriciDaniel/claude-obsidian15k—~1.4kAutomated safety check: PassMIT
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Youtube FetcherJimmySadek/youtube-fetcher-to-markdown485—~3.1kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence

Similar skills

  • Vault Contextual Retrieval

    AgriciDaniel/claude-obsidian

    Builds and queries a local contextual BM25 index over an Obsidian vault, with optional Nomic reranking through Ollama and strict consent rules before any text leaves the machine.

    15k GitHub stars~1.4k tokensUpdated 28 days ago
    Knowledge ManagementAuto-check passed
  • Chroma Vector Database

    Orchestra-Research/AI-Research-SKILLs

    Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

    13k GitHub starsUsed in 8 repos~2.3k tokens
    AI & LLM EngineeringAuto-check passed
  • LLM Application Dev

    MoizIbnYousaf/ai-agent-skills

    Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.

    1.1k GitHub starsUsed in 2 repos~1.3k tokens
    AI & LLM EngineeringAuto-check passed
  • Youtube Fetcher

    JimmySadek/youtube-fetcher-to-markdown

    Retrieve transcripts from YouTube, Instagram, TikTok, X, Vimeo and other video sites, summarize or analyze what was said (and shown on screen), or save an Obsidian-ready Markdown knowledge-base note…

    485 GitHub stars~3.1k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Senior Prompt Engineer

    maslennikov-ig/claude-code-orchestrator-kit

    Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

    260 GitHub starsUsed in 4 repos~1.4k tokens
    AI & LLM EngineeringAuto-check passed
  • MCP Local RAG

    shinpr/mcp-local-rag

    Searches, saves, and maintains a local document index through a local RAG MCP server.

    407 GitHub stars~4.4k tokensUpdated yesterday
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More from thoreinstein/gemini-obsidian

All 12 skills in this repo
  • Cross Linker

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants to find and insert missing wikilinks across vault notes.

    102 GitHub stars~878 tokensUpdated 2 mo ago
    Auto-check passed
  • Vault Lint

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants a health audit of the vault — stale content, provenance drift, frontmatter compliance, or MOC coverage gaps.

    102 GitHub stars~920 tokensUpdated 2 mo ago
    Auto-check passed
  • Wiki Ingest

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants to ingest external sources into the vault — PDFs, markdown files, transcripts, Readwise exports, or any document.

    102 GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed
  • Compound

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants to promote cross-project knowledge to the global Engineering/ folder, or says "promote knowledge", "compound notes", "knowledge synthesis", or "find…

    102 GitHub stars~454 tokensUpdated 2 mo ago
    Auto-check passed
  • Journal

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants to work with their daily note — view today's entry, add a log, do a daily review, or capture quick thoughts.

    102 GitHub stars~283 tokensUpdated 2 mo ago
    Auto-check passed
  • Link Audit

    thoreinstein/gemini-obsidian

    A skill your agent uses when the user wants to audit vault link health, find broken wikilinks, orphaned notes, or semantic clusters.

    102 GitHub stars~408 tokensUpdated 2 mo ago
    Auto-check passed

Works with

Questions about Index

What does Index do?

A skill your agent uses when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index". Index is an agent skill from thoreinstein/gemini-obsidian. Use when the user wants to index their vault for semantic search, rebuild the RAG index, or says "index", "reindex", or "rebuild index".

When should I use Index?

Index fits situations like: the user wants to index their vault for semantic search; rebuild the RAG index.

How do I install Index in Claude Code?

Run `npx skills add thoreinstein/gemini-obsidian --skill index -a claude-code`. Or copy the skill folder (skills/index in thoreinstein/gemini-obsidian) into .claude/skills/index in your project. Claude Code loads it when a task matches its description.

How do I install Index in Codex?

Run `npx skills add thoreinstein/gemini-obsidian --skill index -a codex`. Or copy the skill folder (skills/index in thoreinstein/gemini-obsidian) into .agents/skills/index in your project. Codex loads it when a task matches its description.

Can I use Index in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thoreinstein/gemini-obsidian --skill index -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/index, .gemini/skills/index, .github/skills/index and .opencode/skills/index in your project.

What does Index need to run?

SKILL.md names no scripts, command-line tools or credentials: Index is instructions for the agent only.

Does Index access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Index safe to install?

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.

What licence does Index use?

Index is published under the ISC licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Index use?

About 184 tokens (SKILL.md is roughly 736 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Index?

Skills that share tags, products or a category with Index: Vault Contextual Retrieval (AgriciDaniel/claude-obsidian, 15k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars) and Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Index?

thoreinstein (a GitHub user) maintains it in thoreinstein/gemini-obsidian, which has 102 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on July 31, 2026.

Source: thoreinstein/gemini-obsidian on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.