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Agent skill

Market Pattern

by ruvnet in ruvnet/ruflo

Detect and classify candlestick patterns from ingested OHLCV data

MITAuto-check: notes

Install Market Pattern

skills CLI
$ npx skills add ruvnet/ruflo --skill market-pattern -a claude-code

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

GitHub CLI
$ gh skill install ruvnet/ruflo market-pattern --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/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-market-data/skills/market-pattern .claude/skills/market-pattern && 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
market-pattern
GitHub stars
74k
Token cost
~668 tokens
SKILL.md length
224 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Detect and classify candlestick patterns from ingested OHLCV data

  • Works in 6 steps: Load candles -- call… → Scan for patterns -- iterate through… → Classify -- for each detection, assign:… → …
  • SKILL.md covers When to use, Steps and CLI alternative
  • Calls npx

What it does

Market Pattern is an agent skill from ruvnet/ruflo. Detect and classify candlestick patterns from ingested OHLCV data

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

Example prompts

  • “/market-pattern”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route, Bash

Workflow steps

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

  1. Load candles -- call mcpplugin_ruflo-core_ruflomemory_search (or memory_list) on the market-data namespace to retrieve normalized OHLCV…
  2. Scan for patterns -- iterate through candle sequences looking for
  3. Classify -- for each detection, assign: pattern name, type (reversal/continuation), direction (bullish/bearish), reliability score (0.0-1.0)
  4. Rank -- sort by reliability score descending
  5. Store -- two paths (per ruflo-cost-tracker ADR-0001 dual-path pattern)
  6. Report -- display: pattern name, date range, direction, reliability, suggested action

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • mcp__plugin_ruflo-core_ruflo__memory_search
    • mcp__plugin_ruflo-core_ruflo__memory_list
    • mcp__plugin_ruflo-core_ruflo__memory_store
    • mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store
    • mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search
    • mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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

Market Pattern loads about 668 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 224 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~668

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_

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 ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 224 words, ~668 tokens.

Download SKILL.mdSave it as .claude/skills/market-pattern/SKILL.md (or your agent's skills folder).
name
market-pattern
description
Detect and classify candlestick patterns from ingested OHLCV data
allowed-tools
mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route, Bash
argument-hint
<symbol> [--period 1D]

Market Pattern

Scan ingested OHLCV data for known candlestick patterns, classify them by type and reliability, and store for future reference.

When to use

When you need to identify candlestick patterns (doji, hammer, engulfing, head-shoulders, etc.) in market data. Requires data to be ingested first via market-ingest.

Steps

  1. Load candles -- call mcp__plugin_ruflo-core_ruflo__memory_search (or memory_list) on the market-data namespace to retrieve normalized OHLCV data for the symbol and period. The memory_* tool family routes by namespace; the agentdb_hierarchical-* family does NOT (it routes by tier), so use memory_* for namespaced reads.
  2. Scan for patterns -- iterate through candle sequences looking for:
    • Single-candle: doji (open ~= close), hammer (long lower wick), inverted hammer
    • Two-candle: bullish/bearish engulfing
    • Three-candle: morning star, evening star, three white soldiers, three black crows
    • Multi-candle: head & shoulders, double top/bottom, cup & handle
  3. Classify -- for each detection, assign: pattern name, type (reversal/continuation), direction (bullish/bearish), reliability score (0.0-1.0)
  4. Rank -- sort by reliability score descending
  5. Store -- two paths (per ruflo-cost-tracker ADR-0001 dual-path pattern):
    • Pattern-store (typed, recommended): mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store with type: 'market-pattern'. Don't pass a namespace arg — ReasoningBank routes it; on bridge unavailability the fallback writes to the reserved pattern namespace with controller: 'memory-store-fallback' (see ruflo-agentdb ADR-0001).
    • Plain store (namespace-routable): mcp__plugin_ruflo-core_ruflo__memory_store --namespace market-patterns — this DOES respect the market-patterns namespace because memory_* is namespace-routed.
  6. Report -- display: pattern name, date range, direction, reliability, suggested action

CLI alternative

bash
npx @claude-flow/cli@latest memory search --query "bullish reversal patterns" --namespace market-patterns
npx @claude-flow/cli@latest memory store --key "pattern-AAPL-2026-05-04-doji" --value '{...}' --namespace market-patterns

© ruvnet, MIT. 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 plugins/ruflo-market-data/skills/market-pattern of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

Compare with similar skills

Market Pattern 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.

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MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official37k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Works with

Questions about Market Pattern

What does Market Pattern do?

Detect and classify candlestick patterns from ingested OHLCV data. Market Pattern is an agent skill from ruvnet/ruflo.

How do I install Market Pattern in Claude Code?

Run `npx skills add ruvnet/ruflo --skill market-pattern -a claude-code`. Or copy the skill folder (plugins/ruflo-market-data/skills/market-pattern in ruvnet/ruflo) into .claude/skills/market-pattern in your project. Claude Code loads it when a task matches its description.

How do I install Market Pattern in Codex?

Run `npx skills add ruvnet/ruflo --skill market-pattern -a codex`. Or copy the skill folder (plugins/ruflo-market-data/skills/market-pattern in ruvnet/ruflo) into .agents/skills/market-pattern in your project. Codex loads it when a task matches its description.

Can I use Market Pattern 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 ruvnet/ruflo --skill market-pattern -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-pattern, .gemini/skills/market-pattern, .github/skills/market-pattern and .opencode/skills/market-pattern in your project.

What does Market Pattern need to run?

Going by SKILL.md and its folder, Market Pattern needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search, mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route, Bash.

Does Market Pattern access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Market Pattern safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Market Pattern use?

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

How many tokens does Market Pattern use?

About 668 tokens (SKILL.md is roughly 2.7k 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 Market Pattern?

Skills that share tags, products or a category with Market Pattern: 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, 37k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Pattern?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.

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