Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Detect institutional whale activity in options for a given underlying.
$ npx skills add staskh/trading_skills --skill whale-hunting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install staskh/trading_skills whale-hunting --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/staskh/trading_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/whale-hunting .claude/skills/whale-hunting && 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 "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .claude/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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/staskh/trading_skills/tree/main/.claude/skills/whale-huntingType 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 staskh/trading_skills --skill whale-hunting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install staskh/trading_skills whale-hunting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/whale-hunting .agents/skills/whale-hunting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .agents/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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 staskh/trading_skills --skill whale-hunting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install staskh/trading_skills whale-hunting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/whale-hunting .cursor/skills/whale-hunting && 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 "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .cursor/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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/staskh/trading_skills.git --path .claude/skills/whale-hunting--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 staskh/trading_skills --skill whale-hunting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install staskh/trading_skills whale-hunting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/whale-hunting .gemini/skills/whale-hunting && 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 "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .gemini/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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 staskh/trading_skills whale-huntingInstalls 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 staskh/trading_skills --skill whale-hunting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/whale-hunting .github/skills/whale-hunting && 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 "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .github/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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 staskh/trading_skills --skill whale-hunting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install staskh/trading_skills whale-hunting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/whale-hunting .opencode/skills/whale-hunting && 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 "whale-hunting" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/whale-hunting into .opencode/skills/whale-hunting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whale-hunting", 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.
whale-huntingDetect institutional whale activity in options for a given underlying.
Whale Hunting is an agent skill from staskh/trading_skills. Detect institutional whale activity in options for a given underlying. Use when the user asks about unusual options activity, large block trades, whale trades, or institutional options flow for a specific symbol.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/whale_hunting.py`).
It sits in Business, Finance & HR. The repository describes itself as: Claude powered advisor system for option traders. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b71a74f. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
MASSIVE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Whale Hunting loads about 1.1k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 384 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.
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.
The full file from staskh/trading_skills at commit b71a74f, republished under its MIT licence (© staskh). 384 words, ~1,057 tokens.
.claude/skills/whale-hunting/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Scans option chains for a given underlying to identify institutional-sized trades using a two-step approach:
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py SYMBOL [--months N] [--date YYYY-MM-DD] [--sigma F] [--sigma-z F] [--summary]SYMBOL — Underlying ticker (e.g. AAPL, NVDA, SPY)--months — Max months until option expiration to consider (default: 2)--date — Trading date to analyze in YYYY-MM-DD format (default: latest trading day)--sigma — Std-deviation multiplier for crude outlier threshold (default: 3.0)--sigma-z — Modified Z-Score threshold for per-second small-sample detection (default: 3.5)--summary — Also compute per-ticker summary and include it in the JSON outputReturns JSON with:
underlying — The scanned symboltrading_date — Date analyzedsource — "massive" (per-second data) or "yahoo only" (daily chain data)total_whales — Total whale events foundtotal_call_invested — Sum of invested dollars in call whale eventstotal_put_invested — Sum of invested dollars in put whale eventscall_put_ratio — Call invested / put invested (null if no puts)whales — List of whale events:timestamp, ticker, type, strike, expiryclose, volume, transactions, invested, break_evensummary (present only when --summary is passed) — List of per-ticker aggregates:ticker, type, strike, expiry, whale_count, total_invested, break_even# Hunt whales for AAPL (latest trading day)
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py AAPL
# Hunt whales for NVDA on a specific date
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py NVDA --date 2026-03-13
# With per-ticker summary
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py HOOD --months 3 --summary
# Looser detection threshold
uv run python .claude/skills/whale-hunting/scripts/whale_hunting.py SPY --sigma 2.0After running the script, present the results as follows.
Header line:
Whale activity for {underlying} on {trading_date} — source: {source} Call flow: ${total_call_invested:,.0f} | Put flow: ${total_put_invested:,.0f} | C/P ratio: {call_put_ratio:.2f}
When --summary was requested, render the summary array as a table:
| Time (ET) | Ticker | Type | Strike | Expiry | # Events | Total Invested | Break Even |
|---|---|---|---|---|---|---|---|
| {timestamp} | {ticker} | {type} | {strike} | {expiry} | {whale_count} | ${total_invested:,.0f} | {break_even} |
Sort by total_invested descending. For multi-event rows use the time range of first–last event (e.g. 11:46–12:33).
Interpretation guidance:
source: "massive" — High-confidence; per-second block trade data from Massive APIsource: "yahoo only" — Fallback; daily-level data (Massive API key missing or no intraday data)transactions: 1 — Single block trade; strongest whale signalMASSIVE_API_KEY environment variable for per-second data. Without it, falls back to Yahoo Finance daily data.All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
© staskh, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in .claude/skills/whale-hunting of staskh/trading_skills.
Open the folder on GitHubat commit b71a74f
Whale Hunting 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 |
|---|---|---|---|---|---|---|
| Whale Hunting this skillstaskh/trading_skills | 376 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
tradermonty/claude-trading-skills
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staskh/trading_skills
Get fundamental financial data including financials, earnings, and key metrics.
staskh/trading_skills
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staskh/trading_skills
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staskh/trading_skills
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staskh/trading_skills
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staskh/trading_skills
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Categories
Detect institutional whale activity in options for a given underlying. Whale Hunting is an agent skill from staskh/trading_skills. Detect institutional whale activity in options for a given underlying.
Whale Hunting fits situations like: the user asks about unusual options activity; large block trades; institutional options flow for a specific symbol.
Run `npx skills add staskh/trading_skills --skill whale-hunting -a claude-code`. Or copy the skill folder (.claude/skills/whale-hunting in staskh/trading_skills) into .claude/skills/whale-hunting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add staskh/trading_skills --skill whale-hunting -a codex`. Or copy the skill folder (.claude/skills/whale-hunting in staskh/trading_skills) into .agents/skills/whale-hunting in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staskh/trading_skills --skill whale-hunting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whale-hunting, .gemini/skills/whale-hunting, .github/skills/whale-hunting and .opencode/skills/whale-hunting in your project.
Going by SKILL.md and its folder, Whale Hunting needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named MASSIVE_API_KEY. Our summary lists: Python 3; A credential in MASSIVE_API_KEY.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Whale Hunting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k 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.
Skills that share tags, products or a category with Whale Hunting: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
staskh (a GitHub user) maintains it in staskh/trading_skills, which has 376 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 28, 2026.
Source: staskh/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.