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Found 1,235 Skills
Guides DeFi protocol security review and rug-risk assessment from public chain data, verified source, and historical patterns—covering EVM and Solana-style deployments, liquidity and tokenomics, governance centralization, bridges, exploit pattern matching, and evidence-structured audit reports. Use when the user asks for a DeFi security audit, rug risk analysis, contract vulnerability triage, LP lock verification, governance or upgrade risk, or cross-chain bridge review from observable data only.
Cross-protocol DeFi position aggregator for Stacks wallets — 5 parallel scanners covering Bitflow HODLMM LP bins, Zest lending/borrowing (V2 pool-borrow-v2-3), ALEX pool shares, Styx bridge deposits, and Hiro wallet balances. Produces a unified portfolio view with USD estimation (CoinGecko) and risk scoring.
Analyze digital assets including cryptocurrency fundamentals, blockchain mechanics, DeFi protocols, and on-chain metrics. Use when the user asks about crypto investing, Bitcoin, Ethereum, staking yields, DeFi lending, impermanent loss, or on-chain valuation metrics. Also trigger when users mention 'blockchain', 'proof of stake', 'proof of work', 'smart contracts', 'NFTs', 'stablecoins', 'NVT ratio', 'TVL', 'crypto portfolio allocation', 'halving', or ask about risks and returns of cryptocurrency.
What DeFi positions does a wallet hold? Protocol-by-protocol breakdown of assets, debts, and rewards across chains.
Guide for querying DeFi flow data and events using DefiLlama MCP tools. Covers bridge flows, ETF inflows/outflows, stablecoin supply, institutional/DAT holdings with mNAV ratios, hacks and exploits, fundraising rounds, CEX volumes, open interest, and protocol treasuries. Use when users ask about bridge volume, ETF flows, stablecoin supply, MicroStrategy holdings, DeFi hacks, funding rounds, exchange volume, or treasury data.
Read-only crypto wallet insights via the Zerion CLI: portfolio value, token holdings, DeFi positions, transaction history, PnL, and watchlist management. Use whenever the user asks 'what's in this wallet', 'how is X doing', portfolio/PnL/positions/transactions for any address, ENS name, local wallet, or watched address. Supports x402 / MPP pay-per-call. Pair with `zerion-trading` for execution after analysis.
Broad DeFi market overview combining category rankings, chain comparison, total TVL trends, top protocols, and market events. Use when the user asks for a market summary, "what's happening in DeFi", weekly recap, overall market state, DeFi dashboard, or wants a high-level snapshot of the ecosystem.
Build, test, and deploy DeFi trading strategies using the Almanak SDK. ALWAYS use this skill when the user mentions almanak, DeFi strategy, trading strategy, yield farming, liquidity provision, token swap, borrowing, lending, perpetuals, staking, vault deposit, bridging tokens, backtesting, paper trading, or on-chain execution. Use for writing strategy.py files, composing intents (Swap, LP, Borrow, Supply, Perp, Bridge, Stake, Vault, Prediction), working with config.json strategy parameters, running almanak strat or almanak gateway CLI commands, or debugging strategy execution on Anvil forks. Do NOT use for general smart contract development, Solidity code, or non-strategy SDK internals.
Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).