What problem it solves

The project provides a structured workflow for market review, risk management, trade planning, journaling, and continuous improvement. It is designed for investors who use long-term investing, ETFs, and dividend stocks as their core, while using disciplined swing trading as a satellite strategy when market conditions are favorable.

Key features

• Workflow manifests for routine trading routines — Each operational routine is expressed as a machine-readable manifest that names the exact skills, decision gates, and artifacts in order, from a 15-minute daily market check to monthly performance review.

  Source: README, workflows

• Market regime and posture analysis — Skills such as market-breadth-analyzer, uptrend-analyzer, and exposure-coach turn breadth and regime inputs into a one-page Market Posture summary with an exposure ceiling and a new-entry-allowed versus cash-priority recommendation for human review.

  Source: README

• Screeners for dividends, growth, and swing setups — Screeners cover dividend growth and value-dividend criteria, CANSLIM and VCP patterns, and undervalued-growth ranking, each with explicit integration requirements listed in the canonical skill index.

  Source: README, skills-index.yaml

• Risk gates, position sizing, and trade journaling — A position sizer, an account-level drawdown circuit breaker, an offline pre-trade discipline gate, and local YAML journaling skills enforce risk limits and record closed trades so rules can be adjusted from evidence.

  Source: README

• A starter path that needs no paid data API — Five skills can be run manually using public CSVs, chart screenshots, and local files, so market review, sizing, journaling, and outcome review are possible without a paid market-data subscription.

  Source: README, skillsets

Who it may suit

Inference: this may suit time-constrained individual investors who hold ETFs and dividend stocks, want disciplined swing-trading upside, and prefer to manage risk before searching for candidates. It may also suit traders who want to journal and improve their decision process, but it is not aimed at fully automated trading, signal outsourcing, or short-term scalping.

Topics to discuss

• Which workflow from the manifest set best fits a given investor's available time and existing holdings, and how should the Navigator decide between them?

• What structure should the canonical skills index enforce so that skills, workflows, and documentation stay consistent as new skills are added?

• How should the risk gates and journaling schema evolve so that monthly reviews produce concrete rule changes without encouraging overfitting to past outcomes?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/tradermonty/claude-trading-skills#readme

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