Regime
jackson-video-resources/markov-hedge-fund-method
Detect the market regime (Bull / Bear / Sideways) for ANY asset and turn it into a tradeable signal or a risk filter.
Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
$ npx skills add ruvnet/ruflo --skill trader-train -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo trader-train --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .claude/skills/trader-train && rm -rf skills-srcUse ~/.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/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .claude/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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 install https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-trainType 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.
$ npx skills add ruvnet/ruflo --skill trader-train -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo trader-train --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .agents/skills/trader-train && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .agents/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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.
$ npx skills add ruvnet/ruflo --skill trader-train -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo trader-train --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .cursor/skills/trader-train && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .cursor/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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 https://github.com/ruvnet/ruflo.git --path plugins/ruflo-neural-trader/skills/trader-train--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill trader-train -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo trader-train --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .gemini/skills/trader-train && rm -rf skills-srcUse ~/.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/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .gemini/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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.
$ gh skill install ruvnet/ruflo trader-trainInstalls 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).
$ npx skills add ruvnet/ruflo --skill trader-train -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .github/skills/trader-train && rm -rf skills-srcUse ~/.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/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .github/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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.
$ npx skills add ruvnet/ruflo --skill trader-train -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo trader-train --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruflo-neural-trader/skills/trader-train .opencode/skills/trader-train && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trader-train" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-train into .opencode/skills/trader-train/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-train", 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.
trader-trainTrain neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
Trader Train is an agent skill from ruvnet/ruflo. Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
Its SKILL.md is about 400 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 Business, Finance & HR, covering Statistics and Stock and market analysis. 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.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadmcp__plugin_ruflo-core_ruflo__memory_storemcp__plugin_ruflo-core_ruflo__memory_searchmcp__plugin_ruflo-core_ruflo__neural_trainFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx and npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Trader Train loads about 398 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 84 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search,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.
The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 84 words, ~398 tokens.
.claude/skills/trader-train/SKILL.md (or your agent's skills folder).Train neural prediction models using neural-trader's ML engine.
Steps:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-tradernpx neural-trader --model lstm --symbol TICKER --confidence 0.95
npx neural-trader --model transformer --symbol TICKER --predict
npx neural-trader --model nbeats --symbol TICKER --decomposenpx neural-trader --model MODEL --symbol TICKER --predict --horizon 5dnpx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats"trading-analysis namespace per ADR-126 Phase 1 — was previously stored to undeclared trading-models):
mcp__plugin_ruflo-core_ruflo__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-analysis" })mcp__plugin_ruflo-core_ruflo__neural_train({ patternType: "trading-model", epochs: 10 })© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/ruflo-neural-trader/skills/trader-train of ruvnet/ruflo.
Open the folder on GitHubat commit de590e1
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Trader Train 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trader Train this skillruvnet/ruflo | 74k | 1 repos | ~398 | Automated safety check: Notes | MIT | |
| Regimejackson-video-resources/markov-hedge-fund-method | 483 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| One-Line Stock Analysis Reportsmingli30119/stock-analysis | 619 | — | ~8.6k | Automated safety check: Warn | MIT | |
| Fin Guru Quant AnalysisAojdevStudio/Finance-Guru | 322 | — | ~838 | Automated safety check: Pass | Custom licence | |
| Tradingviewgauss314/skills | 245 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Manussanjay3290/ai-skills | 430 | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 |
jackson-video-resources/markov-hedge-fund-method
Detect the market regime (Bull / Bear / Sideways) for ANY asset and turn it into a tradeable signal or a risk filter.
mingli30119/stock-analysis
Turns a single request like 'analyze this stock' into a full research report, pulling 30-plus data sources into an interactive HTML page with charts.
AojdevStudio/Finance-Guru
Quantitative analysis of tickers or the portfolio through the engine's calculators.
gauss314/skills
Datos de mercado de TradingView via APIs publicas internas sin auth: Scanner (~300 columnas con quote/indicadores tecnicos/financials/earnings/ratings/targets), Symbol Search v3 (ISIN/CUSIP/CIK)…
sanjay3290/ai-skills
Delegate complex, long-running tasks to Manus AI agent for autonomous execution.
gauss314/skills
Scraper de CompaniesMarketCap: rankings (marketcap, earnings, revenue, employees, ratios), stock history y ETF holdings.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Categories
Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals. Trader Train is an agent skill from ruvnet/ruflo.
Trader Train fits situations like: tasks that involve Statistics; tasks that involve Stock and market analysis.
Run `npx skills add ruvnet/ruflo --skill trader-train -a claude-code`. Or copy the skill folder (plugins/ruflo-neural-trader/skills/trader-train in ruvnet/ruflo) into .claude/skills/trader-train in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill trader-train -a codex`. Or copy the skill folder (plugins/ruflo-neural-trader/skills/trader-train in ruvnet/ruflo) into .agents/skills/trader-train in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill trader-train -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trader-train, .gemini/skills/trader-train, .github/skills/trader-train and .opencode/skills/trader-train in your project.
Going by SKILL.md and its folder, Trader Train needs the command-line tools its instructions call (npx and npm). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash, Read, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__neural_train.
SKILL.md contains no URLs. Its commands use npx and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Trader Train is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 398 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Trader Train: Regime (jackson-video-resources/markov-hedge-fund-method, 483 stars), One-Line Stock Analysis Reports (mingli30119/stock-analysis, 619 stars), Fin Guru Quant Analysis (AojdevStudio/Finance-Guru, 322 stars) and Tradingview (gauss314/skills, 245 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.