Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Track large cryptocurrency transactions and whale wallet movements across multiple blockchains.
$ npx skills add aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team monitoring-whale-activity --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/whale-alert-monitor .claude/skills/monitoring-whale-activity && 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 "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .claude/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitorType 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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team monitoring-whale-activity --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/whale-alert-monitor .agents/skills/monitoring-whale-activity && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .agents/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team monitoring-whale-activity --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/whale-alert-monitor .cursor/skills/monitoring-whale-activity && 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 "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .cursor/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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/aAAaqwq/AGI-Super-Team.git --path skills/whale-alert-monitor--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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team monitoring-whale-activity --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/whale-alert-monitor .gemini/skills/monitoring-whale-activity && 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 "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .gemini/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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 aAAaqwq/AGI-Super-Team monitoring-whale-activityInstalls 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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/whale-alert-monitor .github/skills/monitoring-whale-activity && 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 "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .github/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team monitoring-whale-activity --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/whale-alert-monitor .opencode/skills/monitoring-whale-activity && 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 "monitoring-whale-activity" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/whale-alert-monitor into .opencode/skills/monitoring-whale-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-whale-activity", 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.
monitoring-whale-activityTrack large cryptocurrency transactions and whale wallet movements across multiple blockchains.
Monitoring Whale Activity is an agent skill from aAAaqwq/AGI-Super-Team. Track large cryptocurrency transactions and whale wallet movements across multiple blockchains. Monitor exchange inflows/outflows, manage watchlists, Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `ARD.md`, `PRD.md` and `config/settings.yaml`).
It sits in Business, Finance & HR, covering Crypto and DeFi analysis. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(python:*whale*)From allowed-tools in the SKILL.md frontmatter.
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
whale-alert.ioetherscan.iocoingecko.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Monitoring Whale Activity loads about 945 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 219 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 aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 219 words, ~945 tokens.
.claude/skills/monitoring-whale-activity/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Track large cryptocurrency transactions and whale wallet movements across multiple blockchains. Monitor exchange inflows/outflows, manage watchlists, and identify known wallets (exchanges, funds, bridges).
Before using this skill, ensure you have:
cd {baseDir}/scriptsRecent Whale Transactions:
python whale_monitor.py recent # All chains
python whale_monitor.py recent --chain ethereum # Specific chain
python whale_monitor.py recent --min-value 10000000 # $10M+ onlyExchange Flow Analysis:
python whale_monitor.py flows # Overall exchange flows
python whale_monitor.py flows --chain ethereum # Chain-specificWatchlist Management:
python whale_monitor.py watchlist # View watchlist
python whale_monitor.py watch 0x123... --name "My Whale" # Add to watchlist
python whale_monitor.py unwatch 0x123... # Remove from watchlistTrack Specific Wallet:
python whale_monitor.py track 0x123... # Track wallet activitySearch Known Labels:
python whale_monitor.py labels --query binance # Search by name
python whale_monitor.py labels --type exchange # List by typeTransaction Types:
Flow Analysis:
See {baseDir}/references/errors.md for:
View $10M+ whale transactions on Ethereum:
python whale_monitor.py recent --chain ethereum --min-value 10000000Analyze if whales are selling (depositing to exchanges):
python whale_monitor.py flows --chain ethereumTrack a known whale wallet:
python whale_monitor.py watch 0x28c6c... --name "Binance Cold"
python whale_monitor.py track 0x28c6c...Export to JSON for further analysis:
python whale_monitor.py recent --format json > whales.jsonSee {baseDir}/references/examples.md for more usage patterns.
© aAAaqwq, 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 11 other files (scripts, references) in skills/whale-alert-monitor of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 7cefd81
Monitoring Whale Activity 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 |
|---|---|---|---|---|---|---|
| Monitoring Whale Activity this skillaAAaqwq/AGI-Super-Team | 105 | — | ~945 | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Stock Analysis24mlight/StockClaw | 101 | 2 repos | ~2k | Automated safety check: Notes | MIT | |
| Swapper Depositswapperfinance/swapper-toolkit | 852 | — | ~1.8k | Automated safety check: Pass | MIT |
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
24mlight/StockClaw
Analyze stocks and cryptocurrencies using Yahoo Finance data.
swapperfinance/swapper-toolkit
Deposit and bridge funds into a wallet or protocol using Swapper Finance.
okx/agent-skills
Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI.
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Transaction-verified trading signals on Base blockchain. An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents).
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
Categories
Track large cryptocurrency transactions and whale wallet movements across multiple blockchains. Monitoring Whale Activity is an agent skill from aAAaqwq/AGI-Super-Team. Track large cryptocurrency transactions and whale wallet movements across multiple blockchains.
Monitoring Whale Activity fits situations like: tracking large holder movements; wallet activity; with phrases like track whales; monitor large transfers.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a claude-code`. Or copy the skill folder (skills/whale-alert-monitor in aAAaqwq/AGI-Super-Team) into .claude/skills/monitoring-whale-activity in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a codex`. Or copy the skill folder (skills/whale-alert-monitor in aAAaqwq/AGI-Super-Team) into .agents/skills/monitoring-whale-activity 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 aAAaqwq/AGI-Super-Team --skill monitoring-whale-activity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monitoring-whale-activity, .gemini/skills/monitoring-whale-activity, .github/skills/monitoring-whale-activity and .opencode/skills/monitoring-whale-activity in your project.
Going by SKILL.md and its folder, Monitoring Whale Activity needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(python:*whale*).
SKILL.md names 3 domains. As links in the text: whale-alert.io, etherscan.io and coingecko.com. 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.
Monitoring Whale Activity is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 945 tokens (SKILL.md is roughly 3.8k 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 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Monitoring Whale Activity: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Polyclaw (chainstacklabs/polyclaw, 359 stars), Longbridge Research (helsome/folio, 271 stars) and Stock Analysis (24mlight/StockClaw, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.