Agent skill

Lattice

Analyze large files (500 lines) using handle-based Nucleus queries for 97% token savings.

Apache-2.0Auto-check passedAgent Workflows

Install Lattice

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a claude-code

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

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice --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/yogthos/Matryoshka.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lattice .claude/skills/lattice && 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/

Paste into Claude Code

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .claude/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/yogthos/Matryoshka/tree/main/skills/lattice

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yogthos/Matryoshka.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lattice .agents/skills/lattice && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .agents/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yogthos/Matryoshka.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lattice .cursor/skills/lattice && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .cursor/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/yogthos/Matryoshka.git --path skills/lattice

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yogthos/Matryoshka.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lattice .gemini/skills/lattice && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .gemini/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/yogthos/Matryoshka.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lattice .github/skills/lattice && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .github/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add yogthos/Matryoshka --skill lattice -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install yogthos/Matryoshka lattice --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/yogthos/Matryoshka.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lattice .opencode/skills/lattice && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lattice" agent skill from https://github.com/yogthos/Matryoshka/tree/main/skills/lattice into .opencode/skills/lattice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lattice", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: lattice
GitHub stars: 150
Token cost: ~1.1k tokens
SKILL.md length: 375 words
Files: 1
Skills in repo: 1
Repo updated: May 17, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Analyze large files (500 lines) using handle-based Nucleus queries for 97% token savings.

Works in 4 steps: lattice_load — Open the file (starts a… → lattice_query — Run Nucleus S-expression… → lattice_expand — Inspect actual data… → …
You need to search
SKILL.md covers When to Use, Core Workflow, Nucleus Command Reference and Variable Bindings, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lattice is an agent skill from yogthos/Matryoshka. Analyze large files (500 lines) using handle-based Nucleus queries for 97% token savings. Use when you need to search, filter, aggregate, or explore documents too large for direct context.

Its SKILL.md is about 1.1k 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 Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server for token-efficient large document analysis via the use of REPL state. The licence is Apache-2.0.

When your agent uses it

You need to search
Explore documents too large for direct context

Example prompts

“/lattice”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

lattice_load — Open the file (starts a session)
lattice_query — Run Nucleus S-expression commands (returns handle stubs like $res1)
lattice_expand — Inspect actual data from a handle when you need to see contents
lattice_close — End the session when done

What it can do on your machine

Read from SKILL.md and the folder at commit ccf3ca0. 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 (its code samples are scheme).
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

Lattice loads about 1.1k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 375 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~49
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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 yogthos/Matryoshka at commit ccf3ca0, republished under its Apache-2.0 licence (© yogthos). 375 words, ~1,118 tokens.

Download SKILL.mdSave it as .claude/skills/lattice/SKILL.md (or your agent's skills folder).

name: lattice
description: Analyze large files (>500 lines) using handle-based Nucleus queries for 97% token savings. Use when you need to search, filter, aggregate, or explore documents too large for direct context.

Lattice - Large File Analysis

Use the Lattice MCP tools to analyze files that are too large to read directly. Lattice stores query results server-side and returns compact handle stubs, achieving 97%+ token savings.

When to Use

File is larger than 500 lines (for smaller files, use Read directly)
You need multiple searches on the same file
You're extracting or aggregating structured data (counts, sums, patterns)
You're doing exploratory analysis and don't know what you're looking for
You want to avoid hallucination on factual queries about file contents

Core Workflow

The standard workflow is: load → query → expand → close

lattice_load — Open the file (starts a session)
lattice_query — Run Nucleus S-expression commands (returns handle stubs like $res1)
lattice_expand — Inspect actual data from a handle when you need to see contents
lattice_close — End the session when done

Efficiency Tips

Chain operations in sequence rather than making many independent queries. Use RESULTS to refer to the previous result and build a pipeline in a single query session.
Start broad, then narrow: grep first, then filter, then count/sum.
Only expand when needed: Handle stubs give you counts and previews — expand only when you need to see actual data for decision-making.
Prefer (count RESULTS) or (sum RESULTS) over expanding and counting client-side.

Nucleus Command Reference

Search

scheme

(grep "pattern")              ; Regex search — returns handle to matching lines
(fuzzy_search "query" 10)     ; Fuzzy match — top N results by relevance
(lines 10 20)                 ; Get specific line range (start end)

Transform

scheme

(filter RESULTS (lambda x (match x "pattern" 0)))   ; Keep matching items
(map RESULTS (lambda x (match x "(\\d+)" 1)))       ; Extract regex group from each item

Aggregate

scheme

(count RESULTS)               ; Count items (returns scalar directly)
(sum RESULTS)                 ; Sum numeric values (auto-extracts numbers)

Extract

scheme

(match str "pattern" 1)       ; Extract regex capture group from a string

Code & Document Symbols (for .ts, .js, .py, .go, .rs, .md, etc.)

scheme

(list_symbols)                ; List all functions, classes, methods, headings, etc.
(list_symbols "function")     ; Filter by kind: "function", "class", "method", "interface", "type"
(get_symbol_body "funcName")  ; Get full source code of a symbol
(find_references "identifier"); Find all usages of an identifier

Show full SKILL.md (170 more words)Show less

Variable Bindings

RESULTS — Always points to the last array result. Use this in queries to chain operations.
_1, _2, _3, ... — Results from turn N. Use to reference older results in queries.
$res1, $res2, ... — Handle stubs. Use these ONLY with lattice_expand, NOT in queries.

Complete Workflow Example

Task: Find and count timeout errors in a log file

Load the document:
```
lattice_load("/path/to/server.log")
```
→ Loaded: 15,234 lines, 2.1 MB
Search for errors:
```
lattice_query('(grep "ERROR")')
```
→ $res1: Array(342) [2024-01-15 ERROR: Connection timeout...]
Filter for timeouts:
```
lattice_query('(filter RESULTS (lambda x (match x "timeout" 0)))')
```
→ $res2: Array(47) [2024-01-15 ERROR: Connection timeout...]
Count them:
```
lattice_query('(count RESULTS)')
```
→ Result: 47
Inspect a sample if needed:
```
lattice_expand("$res2", limit=5)
```
→ Shows first 5 actual timeout error lines
Close when done:
```
lattice_close()
```

Code Analysis Workflow

Task: Understand a large TypeScript file

Load and list symbols:
```
lattice_load("/path/to/large-module.ts")
lattice_query('(list_symbols)')
```
→ $res1: Array(45) [function handleRequest, class Router, ...]
Get a specific function:
```
lattice_query('(get_symbol_body "handleRequest")')
```
→ Returns full source code of the function
Find all references:
```
lattice_query('(find_references "handleRequest")')
```
→ $res2: Array(8) [line 45: handleRequest(req), ...]

Files

Just SKILL.md in skills/lattice of yogthos/Matryoshka.

Open the folder on GitHubat commit ccf3ca0

Compare with similar skills

Lattice 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.

Lattice compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lattice this skillyogthos/Matryoshka	150	—	~1.1k	Automated safety check: Pass	Apache-2.0	4 mo ago
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	yesterday
MCP Server BuildershareAI-lab/learn-claude-code	78k	5 repos	~1.2k	Automated safety check: Pass	MIT	11 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	yesterday
Crush Configurationcharmbracelet/crush	29k	—	~3.7k	Automated safety check: Pass	Custom licence	today
Context Mode Output Sandboxmksglu/context-mode	26k	—	~4.1k	Automated safety check: Pass	Custom licence	yesterday

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Works with

Model Context Protocol

Questions about Lattice

What does Lattice do?

Analyze large files (500 lines) using handle-based Nucleus queries for 97% token savings. Lattice is an agent skill from yogthos/Matryoshka. Analyze large files (500 lines) using handle-based Nucleus queries for 97% token savings.

When should I use Lattice?

Lattice fits situations like: you need to search; explore documents too large for direct context.

How do I install Lattice in Claude Code?

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

How do I install Lattice in Codex?

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

Can I use Lattice 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 yogthos/Matryoshka --skill lattice -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lattice, .gemini/skills/lattice, .github/skills/lattice and .opencode/skills/lattice in your project.

What does Lattice need to run?

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

Does Lattice 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 Lattice 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 Lattice use?

Lattice is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lattice use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Lattice?

Skills that share tags, products or a category with Lattice: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lattice?

yogthos (a GitHub user) maintains it in yogthos/Matryoshka, which has 150 GitHub stars. The repository was last updated on May 17, 2026.

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

Install Lattice

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Lattice - Large File Analysis

When to Use

Core Workflow

Efficiency Tips

Nucleus Command Reference

Search

Transform

Aggregate

Extract

Code & Document Symbols (for .ts, .js, .py, .go, .rs, .md, etc.)

Variable Bindings

Complete Workflow Example

Code Analysis Workflow

Files

Compare with similar skills

Similar skills

MCP Server Builder

MCP Server Builder

MCP Integration for Plugins

Crush Configuration

Context Mode Output Sandbox

Warp GUI to Agent CLI Migration

Related

Questions about Lattice