Research

Aggregate balances, DeFi positions, and allocation across all supported chains.

Interactively author one clean, complete perps ticket — bug, EPIC, or initiative — that states intent and expected outcome without implementation. Use when a PM (or a Claude acting for one) has a raw perps observation, feature idea, or strategic goal and wants a single well-formed ticket ready for engineering to break down. This is the first (product) pass; the engineering split + layer routing is a separate pass (perps-breakdown-tickets). Captures what/expected/repro, makes the ticket surfac...

Interactively break a perps product requirement into split, dispatch-ready technical tickets across MetaMask Core, its release, Mobile, and Extension. Use when a product manager (or a codebase-aware Claude acting for one) has a perps bug or feature and needs engineering-grade tickets, correctly routed now that @metamask/perps-controller is the Core source of truth. Triages where the change actually lives, emits only the applicable layer tickets with dependency links, and enforces token-effici...

Generate an Acceptance Criteria (AC) live Confluence doc for a Jira epic, following the Assets team's standard structure (Overview, Documentation table, Testing Scenarios table with Given/When/Then criteria and QA sign-off checkboxes), then link it from the epic and its stories. Use this whenever the user asks to create acceptance criteria, ACs, an "AC doc", testing scenarios, or QA sign-off criteria for an epic or feature — even if they only paste a Jira epic link and say "create the ACs for...

🏆 AI交易复盘教练 — 把你的券商CSV变成可执行的改进洞察！ 自动FIFO配对持仓，8维度质量评分(入场/出场/趋势/风险...)，10维度AI洞察。 支持富途(中/英)、老虎、中信、华泰等主流券商。 触发条件: 用户提供交易CSV、要求分析交易表现、评估交易质量、生成复盘报告、 计算盈亏统计、识别交易模式问题、"帮我复盘"、"分析我的交易"。

AI Agent Portfolio Manager built for crypto with 2000+ stars, scanning vaults, crunching yields, and finding alpha opportunities.

Schedule transactions when gas hits target price with multicall bundling.

Track funding rates, open interest, and liquidations across major exchanges.

Trading agent from debot.ai enabling smarter multi-chain trading with AI-driven insights on BSC.

Automated crypto market intelligence - prices, sentiment, trending coins, and Polymarket hot markets. Zero dependencies, 100% reliability. Perfect for alpha channels and market monitoring.

Mine, stake, claim, and manage LITCOIN end-to-end through Bankr. Hosted mining via @bankrbot: 'start a research miner for me' deploys a server-side Sentinel that uses the Bankr key as the LLM key against llm.bankr.bot, so no other AI provider is needed. Stake at one of four tiers (Spark, Circuit, Conduit, Architect), claim accumulated rewards, delegate LITCOIN to one of six Nen archetype boost pools, opt into the miner boost program, open vaults, mint LITCREDIT, manage mining guilds, check or...

The most comprehensive MCP server for Polymarket — 48 tools spanning direct trading, market discovery, smart money tracking, copy trading, backtesting, risk management, and portfolio optimization. Wor

AI prediction market trading agent scanning Polymarket for alpha using microstructure research, regime detection, and sentiment analysis.

Funding intelligence workflow using Messari x402. Scans recent rounds, M&A activity, venture funds, and organizations, then synthesizes a VC landscape brief via Messari AI. Total cost ~$0.75–$1.25 USDC per run.

Use when the user asks to "fix false positives", "check FP stats", "triage autofixer false positives", "why is rule X getting dismissed", or wants to reduce dismissal rates in the program_autofixer. Queries live dismissal telemetry from Databricks, ranks rules by false-positive burden, diagnoses the root cause in the rule's visitor, and implements a fix with the user approving each step.

Paper-trade on CoinRithm via the coinrithm-trading MCP server. Use when the user wants to paper trade, check their CoinRithm portfolio, get a price/quote, open or close a position (spot, futures, or prediction markets), set a stop-loss/take-profit, place or cancel an order, check balances/PnL, or see the public Agent Arena leaderboard on CoinRithm. All trading is simulated virtual funds — never real money.

Validate review findings about an implementation plan against the codebase and repo rules, fix the valid ones in the plan, and write a feedback file noting what changed and what was rejected (and why). For plan-review findings, not code-review findings.

Search and discover 43k+ AI agents registered via ERC-8004. Find agents by skill, chain, or reputation. View leaderboards, ecosystem stats, and monitor metadata changes.

Use this skill for meme/打狗/alpha token research on pump.fun and similar launchpads: scanning new token launches, checking developer reputation/开发者信息/dev launch history/has this dev rugged before/开发者跑路记录, bundle/sniper detection/捆绑狙击, bonding curve status/bonding curve progress, finding similar tokens by the same dev/相似代币, and wallets that co-invested (同车/aped) into a token. Use when the user asks about 'new meme coins', 'pump.fun launches', 'trenches', 'trench', '扫链', 'developer launch histor...

Use this skill for token-level data: cluster overview, search tokens, trending/hot tokens (热门, 代币榜单), liquidity pools, holder distribution (whale/巨鲸, sniper, bundler percent), token safety and honeypot risk (貔貅盘, 'is this token a honeypot', 'is this safe to buy', 'rugged?', 'can I sell this'), who created a token, recent buy/sell activity, top profit addresses, trade history by wallet type, or holder cluster analysis (持仓集中度, rug pull probability/跑路风险, new wallet percentage/新钱包持仓比例, suspicious...

Use this skill for token-level data: search tokens, trending/hot tokens (热门, 代币榜单), liquidity pools, holder distribution (whale/巨鲸, sniper, bundler-tagged holder %), token risk metadata (riskControlLevel, tokenTags, dev stats, suspicious/bundle holding % via advanced-info), recent buy/sell activity, trade feed/逐笔成交/每笔交易/stream trades, top profit addresses, token trade history, detailed price info with market cap volume liquidity and holder count (price-info), or holder cluster analysis (持仓集中度...

Analyze a crypto trade before or after execution to identify risk, leverage, sizing, liquidity, volatility, timing, and execution problems using Binance market data.

MCP server for Lighter Protocol — graded safety gates (readonly/paper/live/funds), audit log, two-step confirmations.

Example driver: drive a portfolio-rebalance hypothesis into a recorded session.