Agent skill

Stockbee Setup Fluency Trainer

by tradermonty in tradermonty/claude-trading-skills

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics.

MITAuto-check passedData & Analytics

Install Stockbee Setup Fluency Trainer

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a claude-code

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

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer --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/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .claude/skills/stockbee-setup-fluency-trainer && 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/

Paste into Claude Code

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .claude/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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

$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer

Type 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .agents/skills/stockbee-setup-fluency-trainer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .agents/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .cursor/skills/stockbee-setup-fluency-trainer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .cursor/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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

$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/stockbee-setup-fluency-trainer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .gemini/skills/stockbee-setup-fluency-trainer && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .gemini/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer

Installs 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).

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .github/skills/stockbee-setup-fluency-trainer && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .github/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-setup-fluency-trainer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stockbee-setup-fluency-trainer .opencode/skills/stockbee-setup-fluency-trainer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "stockbee-setup-fluency-trainer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-setup-fluency-trainer into .opencode/skills/stockbee-setup-fluency-trainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-setup-fluency-trainer", 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.

Facts

Skill name: stockbee-setup-fluency-trainer
GitHub stars: 3k
Used in: 1 other repo
Token cost: ~1.2k tokens
SKILL.md length: 414 words
Files: 7 (incl. scripts, references)
Skills in repo: 74
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics.

Works in 4 steps: Ingest Momentum Burst Candidates → Update 3-Day and 5-Day Outcomes → Summarize Cohorts → …
The user wants to study Stockbee Momentum Burst examples
SKILL.md covers When to Use, Prerequisites, Workflow and Model Book Fields, plus 3 more sections
Runs Python scripts from its folder; calls python3

What it does

Stockbee Setup Fluency Trainer is an agent skill from tradermonty/claude-trading-skills. Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/model_book_schema.md`, `references/outcome_tags.md` and `references/review_workflow.md`).

It sits in Data & Analytics, covering Statistics. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

The user wants to study Stockbee Momentum Burst examples
Track failed candidates
Build setup fluency
Review A/B setup quality

Example prompts

“/stockbee-setup-fluency-trainer”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Ingest Momentum Burst Candidates
Update 3-Day and 5-Day Outcomes
Summarize Cohorts
Convert Evidence Into Practice

What it can do on your machine

Read from SKILL.md and the folder at commit eab8d5c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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

Stockbee Setup Fluency Trainer loads about 1.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 414 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~112
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.8k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit eab8d5c, republished under its MIT licence (© tradermonty). 414 words, ~1,217 tokens.

Download SKILL.mdSave it as .claude/skills/stockbee-setup-fluency-trainer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: stockbee-setup-fluency-trainer
description: Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.

Stockbee Setup Fluency Trainer

Build and maintain a model book for Stockbee-style Momentum Burst setups. This skill turns daily screener candidates into structured study records, updates them after the 3-day and 5-day windows mature, and summarizes which setup features are working or failing.

When to Use

User wants to study Stockbee Momentum Burst setups systematically
User asks to build a model book from stockbee-momentum-burst-screener output
User wants to review failed candidates, missed trades, or A/B setup quality
User wants 3-day / 5-day forward returns, MFE, MAE, and stop-hit outcomes
User wants to improve setup recognition before increasing position size
User asks which Stockbee tags should be promoted, downgraded, or filtered

Prerequisites

Python 3.10+
A stockbee-momentum-burst-screener JSON report, or compatible candidate JSON
Optional: FMP API key for outcome updates when offline OHLCV JSON is not supplied
Recommended local state path: state/stockbee/model_book.jsonl

Workflow

Step 1: Ingest Momentum Burst Candidates

Run after the Stockbee Momentum Burst screener has produced a JSON report.

bash

python3 skills/stockbee-setup-fluency-trainer/scripts/build_model_book.py ingest \
  --screener-json reports/stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json \
  --model-book state/stockbee/model_book.jsonl \
  --output-dir reports/

Use --include-rejects when intentionally building a negative-example set. Otherwise rejected candidates are skipped.

Step 2: Update 3-Day and 5-Day Outcomes

Use FMP:

bash

python3 skills/stockbee-setup-fluency-trainer/scripts/build_model_book.py update \
  --model-book state/stockbee/model_book.jsonl \
  --horizons 3,5 \
  --output-dir reports/

Use offline OHLCV JSON:

bash

python3 skills/stockbee-setup-fluency-trainer/scripts/build_model_book.py update \
  --model-book state/stockbee/model_book.jsonl \
  --prices-json data/daily_ohlcv.json \
  --horizons 3,5 \
  --output-dir reports/

The update step records:

Forward close return for each horizon
MFE and MAE over each horizon
Stop-hit status and first stop-hit date
Outcome tags such as STRONG_WINNER, WORKED, FAILED_STOP, FAILED_FADE, CHOPPY_FAILURE, or NEUTRAL

Step 3: Summarize Cohorts

bash

python3 skills/stockbee-setup-fluency-trainer/scripts/build_model_book.py summarize \
  --model-book state/stockbee/model_book.jsonl \
  --group-by rating,primary_trigger,setup_tags \
  --min-sample 5 \
  --output-dir reports/

Review the generated Markdown and JSON reports. Treat rule_candidates as evidence prompts, not automatic rule changes.

Show full SKILL.md (177 more words)Show less

Step 4: Convert Evidence Into Practice

For cohorts with enough examples:

Promote tags with high win rate, positive 5-day expectancy, and acceptable average MAE
Downgrade or filter tags with weak 5-day expectancy, frequent stop hits, or repeated fade failures
Inspect representative charts manually before changing trade rules
Log accepted lessons in trader-memory-core or the monthly review process

Model Book Fields

Each JSONL record includes:

record_id, symbol, setup_date, primary_trigger
rating, setup_score, setup_tags
entry_reference, stop_reference, risk_pct_to_stop
human_label, human_decision, human_notes
outcomes.3d and outcomes.5d
overall_outcome, matured, raw_candidate

Interpretation Rules

STRONG_WINNER: 5-day close return >= 8% or MFE >= 12%, with no stop hit
WORKED: 5-day close return >= 4% or MFE >= 6%, with no stop hit
FAILED_STOP: Stop was touched within the horizon
FAILED_FADE: Forward return <= -2% without a recorded stop hit
CHOPPY_FAILURE: Adverse excursion was large and forward progress was poor
NEUTRAL: No decisive follow-through or failure
PENDING: Not enough future bars yet

Output

state/stockbee/model_book.jsonl - Durable setup model book
stockbee_setup_fluency_ingest_YYYY-MM-DD_HHMMSS.json/md
stockbee_setup_fluency_update_YYYY-MM-DD_HHMMSS.json/md
stockbee_setup_fluency_summary_YYYY-MM-DD_HHMMSS.json/md

Resources

references/model_book_schema.md - JSONL schema and lifecycle states
references/outcome_tags.md - Outcome classification and tag definitions
references/review_workflow.md - Daily, 3-day, 5-day, and monthly review routine

Files

SKILL.md and 6 other files (scripts, references) in skills/stockbee-setup-fluency-trainer of tradermonty/claude-trading-skills.

SKILL.md
references/model_book_schema.md
references/outcome_tags.md
references/review_workflow.md
requirements.txt
scripts/build_model_book.py
scripts/tests/test_build_model_book.py

Open the folder on GitHubat commit eab8d5c

Used in 1 other repository

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 tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

BaggaT236/AI-Trading-Skillsskills/stockbee-setup-fluency-trainer

Compare with similar skills

Stockbee Setup Fluency Trainer 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.

Stockbee Setup Fluency Trainer compared with similar skills
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Statistical Analysisspacering-net/codeg	3.9k	3 repos	~5k	Automated safety check: Pass	MIT	today
StatsmodelszLanqing/codex-claude-academic-skills	4.7k	15 repos	~4.9k	Automated safety check: Pass	BSD-3-Clause	4 mo ago
AI Daily DigestvigorX777/ai-daily-digest	1.6k	—	~1.3k	Automated safety check: Pass	None	7 mo ago
Statistical Powerspacering-net/codeg	3.9k	1 repos	~3.6k	Automated safety check: Notes	MIT	today

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Questions about Stockbee Setup Fluency Trainer

What does Stockbee Setup Fluency Trainer do?

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Stockbee Setup Fluency Trainer is an agent skill from tradermonty/claude-trading-skills. Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics.

When should I use Stockbee Setup Fluency Trainer?

Stockbee Setup Fluency Trainer fits situations like: the user wants to study Stockbee Momentum Burst examples; track failed candidates; build setup fluency; review A/B setup quality.

How do I install Stockbee Setup Fluency Trainer in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a claude-code`. Or copy the skill folder (skills/stockbee-setup-fluency-trainer in tradermonty/claude-trading-skills) into .claude/skills/stockbee-setup-fluency-trainer in your project. Claude Code loads it when a task matches its description.

How do I install Stockbee Setup Fluency Trainer in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a codex`. Or copy the skill folder (skills/stockbee-setup-fluency-trainer in tradermonty/claude-trading-skills) into .agents/skills/stockbee-setup-fluency-trainer in your project. Codex loads it when a task matches its description.

Can I use Stockbee Setup Fluency Trainer 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 tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stockbee-setup-fluency-trainer, .gemini/skills/stockbee-setup-fluency-trainer, .github/skills/stockbee-setup-fluency-trainer and .opencode/skills/stockbee-setup-fluency-trainer in your project.

What does Stockbee Setup Fluency Trainer need to run?

Going by SKILL.md and its folder, Stockbee Setup Fluency Trainer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Stockbee Setup Fluency Trainer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Stockbee Setup Fluency Trainer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Stockbee Setup Fluency Trainer use?

Stockbee Setup Fluency Trainer 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 Stockbee Setup Fluency Trainer use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Stockbee Setup Fluency Trainer?

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Who maintains Stockbee Setup Fluency Trainer?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,973 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 5, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Stockbee Setup Fluency Trainer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Stockbee Setup Fluency Trainer

When to Use

Prerequisites

Workflow

Step 1: Ingest Momentum Burst Candidates

Step 2: Update 3-Day and 5-Day Outcomes

Step 3: Summarize Cohorts

Step 4: Convert Evidence Into Practice

Model Book Fields

Interpretation Rules

Output

Resources

Files

Used in 1 other repository

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