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AI Agent Workflow Collection

Skill pack
5 skills0 selected
mangrovetechnologiesSkills in this pack

Check if a proposed change aligns with mangrove-agent's stated principles, architecture, and trading-bot safety invariants. Use when the user describes a change and asks "does this fit", "check alignment", "review this approach", or "/check-alignment ". Read-only analysis — does NOT modify anything. Adapted from the Mangrove workspace check-alignment skill with trading-bot-specific documents.

English

Use when the user wants to build a new trading strategy — "build me a momentum play on ETH", "find a strategy for BTC", "I want to trade X", "make a strategy", or after Stage 0 greeter when the wallet is ready and the user is moving into Stage 2 (Author) of trading-bot-workflow.md. Drives the author → backtest path using reference strategies (Mechanism 2) and KB-grounded parameter choices (Mechanism 1) so parameters are evidence-backed, not library-default guesses. Wraps searchreferencestrategies + buildstrategyfromreference + createstrategyautonomous + createstrategymanual + kbsearch.

English

Build a custom signal stack (entry and/or exit) for a trading strategy by composing atomic signals from the Mangrove signal library. Use when the user describes a rule in natural language that doesn't match a curated reference — "buy when RSI is low and volume spikes", "exit when price drops below 20 EMA", "only enter when ADX > 25 filter is true" — OR when /create-strategy Phase C territory is hit. Outputs a createstrategymanual-compatible entry and/or exit payload ready to hand off to /backtest.

English

Use when the user has MANY candidate strategies (or wants to try many parameter variations) and needs to know which are worth the cost of a backtest — "score these", "which of these should I test", "pre-filter my candidates", "rank these MACD variations". Also the natural next step after /create-strategy or /custom-signal produces a candidate set. Scores up to 99 candidates in ONE millisecond-cheap call through the Mangrove SIEVE classifier, drops the dead-on-arrival ones (binary head), and ranks the survivors by P(winning) (4-class head) — a cheap SCREEN, never a verdict. Wraps sievescore + oraclelistsignals, hands the shortlist to /backtest (one winner) or /backtest/bulk (several). This screens a FIXED candidate list; for a parameter-space SEARCH that generates its own candidates, use /sweep instead.

English

백테스트를 실행하고 전략 성과를 분석합니다. 날짜 범위와 초기 자본을 지정할 수 있습니다.

Korean

Includes Check Alignment, Create Strategy, Custom Signal, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills5CategorygeneralStars0

What’s included

Check Alignment

Check if a proposed change aligns with mangrove-agent's stated principles, architecture, and trading-bot safety invariants. Use when the user describes a change and asks "does this fit", "check alignment", "review this approach", or "/check-alignment ". Read-only analysis — does NOT modify anything. Adapted from the Mangrove workspace check-alignment skill with trading-bot-specific documents.

Create Strategy

Use when the user wants to build a new trading strategy — "build me a momentum play on ETH", "find a strategy for BTC", "I want to trade X", "make a strategy", or after Stage 0 greeter when the wallet is ready and the user is moving into Stage 2 (Author) of trading-bot-workflow.md. Drives the author → backtest path using reference strategies (Mechanism 2) and KB-grounded parameter choices (Mechanism 1) so parameters are evidence-backed, not library-default guesses. Wraps searchreferencestrategies + buildstrategyfromreference + createstrategyautonomous + createstrategymanual + kbsearch.

Custom Signal

Build a custom signal stack (entry and/or exit) for a trading strategy by composing atomic signals from the Mangrove signal library. Use when the user describes a rule in natural language that doesn't match a curated reference — "buy when RSI is low and volume spikes", "exit when price drops below 20 EMA", "only enter when ADX > 25 filter is true" — OR when /create-strategy Phase C territory is hit. Outputs a createstrategymanual-compatible entry and/or exit payload ready to hand off to /backtest.

Sieve

Use when the user has MANY candidate strategies (or wants to try many parameter variations) and needs to know which are worth the cost of a backtest — "score these", "which of these should I test", "pre-filter my candidates", "rank these MACD variations". Also the natural next step after /create-strategy or /custom-signal produces a candidate set. Scores up to 99 candidates in ONE millisecond-cheap call through the Mangrove SIEVE classifier, drops the dead-on-arrival ones (binary head), and ranks the survivors by P(winning) (4-class head) — a cheap SCREEN, never a verdict. Wraps sievescore + oraclelistsignals, hands the shortlist to /backtest (one winner) or /backtest/bulk (several). This screens a FIXED candidate list; for a parameter-space SEARCH that generates its own candidates, use /sweep instead.

Backtest

백테스트를 실행하고 전략 성과를 분석합니다. 날짜 범위와 초기 자본을 지정할 수 있습니다.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Check Alignment skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas