Agent skill

Multi Pane Analysis

by FerroxLabs in FerroxLabs/wayland

Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence.

AGPL-3.0Auto-check passed

Install Multi Pane Analysis

skills CLI
$ npx skills add FerroxLabs/wayland --skill multi-pane-analysis -a claude-code

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

GitHub CLI
$ gh skill install FerroxLabs/wayland multi-pane-analysis --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/FerroxLabs/wayland.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/process/resources/skills/multi-pane-analysis .claude/skills/multi-pane-analysis && 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
multi-pane-analysis
GitHub stars
608
Token cost
~1k tokens
SKILL.md length
469 words
Files
1
Skills in repo
1,194
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence.

  • Works in 7 steps: Choose the Layout → Assign Symbols → Align Timeframes → …
  • The user asks to compare indices
  • SKILL.md covers Step 1: Choose the Layout, Step 2: Assign Symbols, Step 3: Align Timeframes and Step 4: Stream or Poll, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Multi Pane Analysis is an agent skill from FerroxLabs/wayland. Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence. Use when the user asks to "compare indices", "watch the complex", or wants correlated-asset reasoning.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves. The licence is AGPL-3.0.

When your agent uses it

  • The user asks to compare indices
  • Watch the complex
  • Wants correlated-asset reasoning

Example prompts

  • “compare indices”
  • “watch the complex”
  • “/multi-pane-analysis”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Choose the Layout
  2. Assign Symbols
  3. Align Timeframes
  4. Stream or Poll
  5. Compute Relative Moves
  6. Annotate Divergences
  7. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 4c030c7. 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

Multi Pane Analysis loads about 1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 469 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~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 FerroxLabs/wayland at commit 4c030c7, republished under its AGPL-3.0 licence (© FerroxLabs). 469 words, ~1,002 tokens.

Download SKILL.mdSave it as .claude/skills/multi-pane-analysis/SKILL.md (or your agent's skills folder).
name
multi-pane-analysis
description
Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence. Use when the user asks to "compare indices", "watch the complex", or wants correlated-asset reasoning.

Multi-Pane Cross-Asset Analysis

You are using TradingView's pane layouts to reason across several correlated instruments at once.

Power-toolkit shortcuts: snapshot the current layout with state_snapshot before mutating it (so the user can state_restore afterwards). Use chart_vision_read per active pane to grab everything (image + indicators + Pine graphics) in one call.

Step 1: Choose the Layout

  1. pane_set_layout — typical choices:
    • "2x2" for four symbols (e.g., the index complex)
    • "1x2" / "2x1" for two
    • "1x3" / "3x1" for three

Example — index complex: pane_set_layout({ layout: "2x2" }).

Step 2: Assign Symbols

Use pane_set_symbol once per pane. The pane argument is index (0-based), not pane. Common correlated baskets:

  • US Index complex: ES1! (SP500), NQ1! (Nasdaq), YM1! (Dow), RTY1! (Russell)
  • Energy: CL1! (WTI), BZ1! (Brent), NG1! (Nat Gas), XLE
  • Metals: GC1! (Gold), SI1! (Silver), HG1! (Copper), PL1! (Platinum)
  • Crypto majors: BTCUSD, ETHUSD, SOLUSD, TOTAL
  • Risk-on/off: SPY, TLT, DXY, VIX
pane_set_symbol({ index: 0, symbol: "ES1!" })
pane_set_symbol({ index: 1, symbol: "NQ1!" })
pane_set_symbol({ index: 2, symbol: "YM1!" })
pane_set_symbol({ index: 3, symbol: "RTY1!" })

If a pane errors with CHART_LOADING, wait ~2s before querying that pane.

Step 3: Align Timeframes

pane_set_symbol takes only index and symbol, so it cannot set a timeframe. Loop through the panes calling chart_set_timeframe after pane_focus. All panes should match (e.g., all 15m) for valid comparison.

Step 4: Stream or Poll

Poll: pane_list to enumerate panes, then quote_batch with every pane's symbol in one call, plus per-pane data_get_ohlcv with summary: true.

Use quote_batch here, not a quote_get per pane. quote_get for a symbol that is not the active chart symbol briefly switches the chart and switches it back, so polling it per pane visibly thrashes the user's layout on a timer. quote_batch reads the scanner API, touches nothing, and is unaffected by a dropped chart data connection.

There is no push/stream tool on this connector, so re-poll on a timer for live monitoring rather than waiting for updates that will never arrive.

Show full SKILL.md (177 more words)Show less

Step 5: Compute Relative Moves

For each pane, pull:

  • quote_batch — current price + change% for every pane symbol at once (see Step 4 for why this is not a per-pane quote_get)
  • data_get_ohlcv with summary: true, count: 20 — recent range

Compute normalized % moves since session open (or since any anchor bar). The leader is the one with the largest % change in the dominant direction; the laggard is the smallest; divergence is when one pane goes opposite the rest.

Example output:

ES1!  +0.42%  (laggard)
NQ1!  +0.91%  (LEADER — tech leading risk-on)
YM1!  +0.18%
RTY1! -0.35%  (DIVERGENCE — small caps down while indices up)

Step 6: Annotate Divergences

If you spot a divergence:

  1. pane_focus on the divergent pane
  2. draw_shape with text marking the divergence bar
  3. capture_screenshot with region: "full" so all four panes are in frame

Step 7: Report

Provide the cross-asset read:

  • Leader / laggard / divergent with % moves
  • Correlation check — are the normally-correlated pairs still in sync? (e.g., ES/NQ typically correlated; if they split, note it)
  • Actionable interpretation — e.g., "RTY1! weakness while ES1!/NQ1! rally = narrow breadth, fade long setups on indices"

Cleanup

If the user wanted a single-pane view back:

  • pane_set_layout with "1x1"
  • Or state_restore if a prior snapshot exists

© FerroxLabs, AGPL-3.0. 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 src/process/resources/skills/multi-pane-analysis of FerroxLabs/wayland.

Open the folder on GitHubat commit 4c030c7

Compare with similar skills

Multi Pane Analysis 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.

Multi Pane Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multi Pane Analysis this skillFerroxLabs/wayland608—~1kAutomated safety check: PassAGPL-3.0
Deepseek Reasonruvnet/ruflo74k—~626Automated safety check: NotesMIT
Game Asset AuditDonchitos/Claude-Code-Game-Studios26k—~2kAutomated safety check: PassMIT
3D Asset Generationcalesthio/OpenMontage65k—~1.2kAutomated safety check: PassAGPL-3.0
Cumulative Layout Shiftthedaviddias/Front-End-Checklist74k—~438Automated safety check: PassMIT
Tabler Page Layoutstabler/tabler42k—~1.5kAutomated safety check: PassMIT

Similar skills

  • Deepseek Reason

    ruvnet/ruflo

    Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.

    74k GitHub stars~626 tokensUpdated today
    AI & LLM EngineeringAuto-check: notes
  • Game Asset Audit

    Donchitos/Claude-Code-Game-Studios

    Audits game assets against naming conventions, file size budgets and format standards, and finds orphaned assets and missing references.

    26k GitHub stars~2k tokensUpdated 8 days ago
    Game DevelopmentAuto-check passed
  • 3D Asset Generation

    calesthio/OpenMontage

    Generate, reconstruct, inspect, and route production 3D assets for OpenMontage worlds using Atlas Cloud, fal.ai, licensed catalogs, and Blender.

    65k GitHub stars~1.2k tokensUpdated 4 days ago
    Game DevelopmentAuto-check passed
  • Cumulative Layout Shift

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Minimize cumulative layout shift.

    74k GitHub stars~438 tokensUpdated yesterday
    Frontend & DesignAuto-check passed
  • Tabler Page Layouts

    tabler/tabler

    Picks and configures the right layout for a Tabler preview page and covers changing or adding layouts in shared/layouts, including DefaultLayout props and the page-header slot.

    42k GitHub stars~1.5k tokensUpdated today
    Frontend & DesignAuto-check passed
  • Game Asset Spec Writer

    Donchitos/Claude-Code-Game-Studios

    Writes per-asset visual specs and AI image-generation prompts for a game's characters, enemies and screens, driven by the GDD, art bible and an entity inventory.

    26k GitHub stars~5k tokensUpdated 8 days ago
    Game DevelopmentAuto-check passed

More from FerroxLabs/wayland

All 1,194 skills in this repo
  • Star Office Helper

    FerroxLabs/wayland

    Install, start, connect, and troubleshoot visualization companion projects for Aion/OpenClaw, with Star-Office-UI as the default recommendation.

    608 GitHub stars~2.2k tokensUpdated yesterday
    Auto-check: notes
  • Openclaw Setup

    FerroxLabs/wayland

    OpenClaw usage expert: Helps you install, deploy, configure, and use OpenClaw personal AI assistant.

    608 GitHub stars~1.9k tokensUpdated yesterday
    Auto-check passed
  • Tvcontrol Setup

    FerroxLabs/wayland

    Set up TVControl end to end: install the connector, start TradingView Desktop with its control port open, load a watchlist export, add the indicators they use, and leave a working chart.

    608 GitHub stars~5.7k tokensUpdated yesterday
    Auto-check passed
  • Ab Testing Specialist

    FerroxLabs/wayland

    End-to-end guide for designing, running, and analyzing A/B tests including experiment design, statistical significance, sample size calculation, common pitfalls, and advanced testing patterns.

    608 GitHub stars~3.7k tokensUpdated yesterday
    Auto-check passed
  • Academic Writer

    FerroxLabs/wayland

    Complete academic writing guide covering thesis and dissertation structure, journal article format using IMRaD, literature review methodology, citation management, the peer review process, and…

    608 GitHub stars~4.5k tokensUpdated yesterday
    Auto-check passed
  • Accessibility Auditor

    FerroxLabs/wayland

    Web accessibility expertise covering WCAG 2.2 conformance, audit methodology, ARIA patterns, keyboard navigation, screen reader testing, focus management, form accessibility, and automated vs manual…

    608 GitHub stars~4.1k tokensUpdated yesterday
    Auto-check passed

Questions about Multi Pane Analysis

What does Multi Pane Analysis do?

Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence. Multi Pane Analysis is an agent skill from FerroxLabs/wayland. Cross-asset reasoning across a multi-pane layout — set a 2x2 grid, assign correlated symbols to each pane, and identify leader/laggard/divergence.

When should I use Multi Pane Analysis?

Multi Pane Analysis fits situations like: the user asks to compare indices; watch the complex; wants correlated-asset reasoning.

How do I install Multi Pane Analysis in Claude Code?

Run `npx skills add FerroxLabs/wayland --skill multi-pane-analysis -a claude-code`. Or copy the skill folder (src/process/resources/skills/multi-pane-analysis in FerroxLabs/wayland) into .claude/skills/multi-pane-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Multi Pane Analysis in Codex?

Run `npx skills add FerroxLabs/wayland --skill multi-pane-analysis -a codex`. Or copy the skill folder (src/process/resources/skills/multi-pane-analysis in FerroxLabs/wayland) into .agents/skills/multi-pane-analysis in your project. Codex loads it when a task matches its description.

Can I use Multi Pane Analysis 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 FerroxLabs/wayland --skill multi-pane-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-pane-analysis, .gemini/skills/multi-pane-analysis, .github/skills/multi-pane-analysis and .opencode/skills/multi-pane-analysis in your project.

What does Multi Pane Analysis need to run?

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

Does Multi Pane Analysis 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 Multi Pane Analysis 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 Multi Pane Analysis use?

Multi Pane Analysis is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi Pane Analysis use?

About 1k tokens (SKILL.md is roughly 4k 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 Multi Pane Analysis?

Skills that share tags, products or a category with Multi Pane Analysis: Deepseek Reason (ruvnet/ruflo, 74k stars), Game Asset Audit (Donchitos/Claude-Code-Game-Studios, 26k stars), 3D Asset Generation (calesthio/OpenMontage, 65k stars) and Cumulative Layout Shift (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Pane Analysis?

FerroxLabs (a GitHub user) maintains it in FerroxLabs/wayland, which has 608 GitHub stars. The repository holds 1,194 skills in this directory. The repository was last updated on October 6, 2026.

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