Short
sickn33/agentic-awesome-skills
Rewrite the previous response more briefly while preserving the substance.
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters…
MITAuto-check passed
Install Stockbee Momentum Burst Screener
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-momentum-burst-screener --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/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .claude/skills/stockbee-momentum-burst-screener && 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 "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .claude/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screenerType 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 tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-momentum-burst-screener --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .agents/skills/stockbee-momentum-burst-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .agents/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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 tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-momentum-burst-screener --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .cursor/skills/stockbee-momentum-burst-screener && 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 "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .cursor/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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/tradermonty/claude-trading-skills.git --path skills/stockbee-momentum-burst-screener--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 tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-momentum-burst-screener --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .gemini/skills/stockbee-momentum-burst-screener && 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 "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .gemini/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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 tradermonty/claude-trading-skills stockbee-momentum-burst-screenerInstalls 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 tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .github/skills/stockbee-momentum-burst-screener && 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 "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .github/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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 tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-momentum-burst-screener --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stockbee-momentum-burst-screener .opencode/skills/stockbee-momentum-burst-screener && 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 "stockbee-momentum-burst-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-momentum-burst-screener into .opencode/skills/stockbee-momentum-burst-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-momentum-burst-screener", 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-momentum-burst-screener- GitHub stars
- 3k
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 410 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- MIT
At a glance
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters…
- Works in 4 steps: Choose Input Mode → Run the Screening Pass → Review Output → …
- The user asks for Stockbee
- SKILL.md covers When to Use, Prerequisites, Workflow and Output, plus 1 more section
- Runs Python scripts from its folder; calls python3; needs FMP_API_KEY
What it does
Stockbee Momentum Burst Screener is an agent skill from tradermonty/claude-trading-skills. Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.
Its SKILL.md is about 1k 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/entry_exit_rules.md`, `references/momentum_burst_methodology.md` and `references/scoring_system.md`).
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 asks for Stockbee
- Range expansion
- Dollar breakout
- Short-term swing momentum candidates
Example prompts
- “/stockbee-momentum-burst-screener”
Requirements
- Python 3
- A credential in FMP_API_KEY
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c8d58f0. 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 these keys or tokens, usually read from environment variables:
FMP_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Stockbee Momentum Burst Screener loads about 1k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 410 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.
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 c8d58f0, republished under its MIT licence (© tradermonty). 410 words, ~1,049 tokens.
Download SKILL.mdSave it as
.claude/skills/stockbee-momentum-burst-screener/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- stockbee-momentum-burst-screener
- description
- Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.
Stockbee Momentum Burst Screener
Screen US equities for Stockbee-style short-term Momentum Burst candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.
When to Use
- User asks for Stockbee / Pradeep Bonde style Momentum Burst screening
- User wants 4% breakout, dollar breakout, or range expansion candidates
- User asks for short-term 3-5 day swing momentum setups
- User wants to review whether a daily breakout has A/B/C setup quality
- User provides a symbol list, universe file, or historical OHLCV JSON for screening
- User wants candidate outputs to feed into
technical-analyst,position-sizer, ortrader-memory-core
Prerequisites
- FMP API key for live universe and historical OHLCV screening:
bash export FMP_API_KEY=your_api_key_here - Optional no-API path: provide
--prices-jsoncontaining daily OHLCV bars by symbol. - Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only.
Workflow
Step 1: Choose Input Mode
Use one of three modes:
Mode A: FMP universe scan
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--fmp-universe \
--max-symbols 300 \
--output-dir reports/Mode B: Explicit symbols
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--symbols NVDA SMCI PLTR TSLA \
--output-dir reports/Mode C: Offline OHLCV JSON
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
--prices-json data/daily_ohlcv.json \
--output-dir reports/Step 2: Run the Screening Pass
The script detects these trigger families:
- 4% Breakout:
close / previous_close >= 1.04, volume above previous day, and volume above the liquidity floor - Dollar Breakout:
close - open >= 0.90, volume above the liquidity floor - Range Expansion: current daily range exceeds the prior three daily ranges while the prior day was not already extended
It then scores setup quality using:
- Trigger strength
- Volume expansion
- Prior base / range contraction quality
- Close location near the high of day
- Risk distance to the trigger-day low
- Failure filters such as prior 3-day run-up or recent 4% breakdown
- Market gate alignment
Show full SKILL.md (153 more words)Show less
Step 3: Review Output
Read the generated JSON and Markdown reports. For each candidate, present:
- Trigger type and all matched trigger tags
- Day gain, dollar gain, volume ratio, and close-location percentage
- Prior base length and base width
- Entry reference, stop reference, and risk percentage to stop
- Setup score, rating, state, and reject reasons
- Suggested downstream action
Step 4: Send Survivors to Trade Planning
Use the output conservatively:
- A / A- candidates: send to
technical-analystfor manual chart validation, thenposition-sizer - B candidates: watchlist or smaller-risk review only
- Watch-only candidates: keep in model book; do not plan a trade unless chart review upgrades the setup
- Rejected candidates: retain for post-analysis, not for execution
Output
stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json- Structured candidate list, metadata, thresholds, score components, and rejectsstockbee_momentum_burst_YYYY-MM-DD_HHMMSS.md- Human-readable report grouped by rating/state
Resources
references/momentum_burst_methodology.md- Stockbee-style method summary and implementation boundariesreferences/scoring_system.md- Component weights, state thresholds, and failure filtersreferences/entry_exit_rules.md- Entry reference, stop, sizing handoff, and exit template
© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/stockbee-momentum-burst-screener of tradermonty/claude-trading-skills.
- SKILL.md
- references/entry_exit_rules.md
- references/momentum_burst_methodology.md
- references/scoring_system.md
- requirements.txt
- scripts/screen_momentum_burst.py
- scripts/tests/test_screen_momentum_burst.py
Open the folder on GitHubat commit c8d58f0
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.
Compare with similar skills
Stockbee Momentum Burst Screener 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 |
|---|---|---|---|---|---|---|
| Stockbee Momentum Burst Screener this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| Shortsickn33/agentic-awesome-skills | 47k | 1 repos | ~281 | Automated safety check: Pass | MIT | |
| Quality Screenxbtlin/ai-berkshire | 17k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Stock Screenernicepkg/ai-workflow | 285 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Undervalued Stock ScreenerGeeksfino/finskills | 282 | — | ~968 | Automated safety check: Pass | Apache-2.0 | |
| Terms Of Servicethedaviddias/Front-End-Checklist | 74k | — | ~585 | Automated safety check: Pass | MIT |
Similar skills
Quality Screen
xbtlin/ai-berkshire
Screens companies against seven hard financial tests and exemption rules to rule out clearly non-top-tier businesses, for single stocks, industries or indexes.
Stock Screener
nicepkg/ai-workflow
Filter and screen stocks by financial metrics like P/E ratio, market cap, dividend yield, and growth rates.
Undervalued Stock Screener
Geeksfino/finskills
Screen and identify undervalued stocks with strong fundamentals using professional equity research methodology.
Terms Of Service
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing whether a website or web application has a visible Terms of Service link accessible from every page.
Mx Stocks Screener
hiboys/ExploreFinance
基于东方财富数据库，支持通过自然语言输入筛选A港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。Natural language screener for investment assets across global markets, including…
More from tradermonty/claude-trading-skills
All 74 skills in this repoTechnical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Theme Detector
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
Trader Memory Core
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
Edge Strategy Reviewer
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
Sector Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
Stanley Druckenmiller Investment
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Questions about Stockbee Momentum Burst Screener
What does Stockbee Momentum Burst Screener do?
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters…. Stockbee Momentum Burst Screener is an agent skill from tradermonty/claude-trading-skills. Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring.
When should I use Stockbee Momentum Burst Screener?
Stockbee Momentum Burst Screener fits situations like: the user asks for Stockbee; range expansion; dollar breakout; short-term swing momentum candidates.
How do I install Stockbee Momentum Burst Screener in Claude Code?
Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a claude-code`. Or copy the skill folder (skills/stockbee-momentum-burst-screener in tradermonty/claude-trading-skills) into .claude/skills/stockbee-momentum-burst-screener in your project. Claude Code loads it when a task matches its description.
How do I install Stockbee Momentum Burst Screener in Codex?
Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -a codex`. Or copy the skill folder (skills/stockbee-momentum-burst-screener in tradermonty/claude-trading-skills) into .agents/skills/stockbee-momentum-burst-screener in your project. Codex loads it when a task matches its description.
Can I use Stockbee Momentum Burst Screener 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-momentum-burst-screener -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-momentum-burst-screener, .gemini/skills/stockbee-momentum-burst-screener, .github/skills/stockbee-momentum-burst-screener and .opencode/skills/stockbee-momentum-burst-screener in your project.
What does Stockbee Momentum Burst Screener need to run?
Going by SKILL.md and its folder, Stockbee Momentum Burst Screener needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FMP_API_KEY. Our summary lists: Python 3; A credential in FMP_API_KEY.
Does Stockbee Momentum Burst Screener 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 Momentum Burst Screener 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 Momentum Burst Screener use?
Stockbee Momentum Burst Screener 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 Momentum Burst Screener use?
About 1k tokens (SKILL.md is roughly 4.2k 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 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Stockbee Momentum Burst Screener?
Skills that share tags, products or a category with Stockbee Momentum Burst Screener: Short (sickn33/agentic-awesome-skills, 47k stars), Quality Screen (xbtlin/ai-berkshire, 17k stars), Stock Screener (nicepkg/ai-workflow, 285 stars) and Undervalued Stock Screener (Geeksfino/finskills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stockbee Momentum Burst Screener?
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 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.