Home / starchild-ai-agent / official-skills · market-structure-ta/SKILL.md · GitHub

market-structure-ta skillA

market-structure-ta is agent-read markdown (skill) from starchild-ai-agent/official-skills: Market structure analysis with Wyckoff, SMC/ICT, Al Brooks, and classical price action — outputs structured trade scripts with levels, entry, stop, R:R. Use when the user wants real technical analysis on a ticker (e.g. "market structure analysis on NVDA", "Wyckoff phase for BTC", "where's the order block on SOL", "SMC analysis")..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

## What This Skill Is For

Price action analysis = **read the chart itself, not derivatives of it**. Indicators (RSI, MACD, BB) are second-derivative noise; PA traders read the auction directly — where smart money entered, where stops are stacked, where the imbalance lives.

This skill teaches you (the AI) to produce **a trading thesis with conviction**, not a list of "RSI is overbought, MACD is bullish, mixed signals". Every output must have:
1. A narrative (what's the market doing and why)
2. Key levels (numerical, not vibes)
3. An entry plan (trigger, entry, stop, target, R:R)
4. An invalidation level (where the thesis dies)

If you can't produce all four, say so — don't fake it.

## Mental Model — Four Lenses

You combine four frameworks. Each lens answers a different question:

| Lens | Question it answers | When dominant |
|---|---|---|
| **Wyckoff** | What phase of the cycle? (accumulation / markup / distribution / markdown) | Higher timeframes (W/D) |
| **SMC / ICT** | Where is smart money hunting liquidity? Where are the order blocks and FVGs? | Mid timeframes (4H/1H), entry timing |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add starchild-ai-agent/official-skills/market-structure-ta@v1.0.1
Exact content
mdr add starchild-ai-agent/official-skills/market-structure-ta@sha256:0b2faf57b0dc42f2

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_x7yworiwssz4qygr.svg)](https://markdownregistry.com/a/art_x7yworiwssz4qygr)

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Versions

versioncommittedcommitsizeaudit
v1.0.1 latest2026-05-25 36319eb 11,772 BA view · diff
v1.0.02026-05-24 e8d21bd 11,350 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11772 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

starchild-ai-agent/official-skills · 28 stars · license none · pushed 2026-09-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_x7yworiwssz4qygr
GET https://markdownregistry.com/api/v1/resolve?ref=starchild-ai-agent/official-skills/market-structure-ta
GET https://markdownregistry.com/api/v1/blob/0b2faf57b0dc42f2a914a3b16d7b3f0ef63ecb101fa0f191128243a3a53fd330

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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