Use when profiling wallets, analyzing protocols or pools, inspecting token metrics, evaluating DEX liquidity or LP/vault performance, reading smart contract state, resolving proxy contracts and unknown interfaces, tracing exploit fund flows, or investigating on-chain incidents on EVM chains (Ethereum, Arbitrum, Base, BSC, Polygon, Katana).
/plugin marketplace add Omnis-Labs/defi-onchain-analytics
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
[](https://www.skillteca.com.br/skills/defi-onchain-analytics?utm_source=badge&utm_medium=readme&utm_campaign=badge)
Use this skill for any task involving spreadsheet files as primary input or output, such as opening, reading, editing, fixing, creating, or converting .xlsx, .xlsm, .csv, or .tsv files.
Searches claude-mem's persistent cross-session memory database. Use this to answer questions about previous solutions or retrieve work from past sessions.
Generates a week-by-week narrative digest of a project's Claude-mem timeline, splitting it into ISO-week files and using subagents to produce weekly chapters. Ideal for "weekly digests" or "narrative chapters" of a project's history.
This skill explains how claude-mem captures observations, when memory injection occurs, and where its data is stored.
Category alert
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Core Principle: 「先固定資料可信度與上下文，再做最小足夠的讀取，之後才做歸因與敘事。」 First fix data confidence and context, then do minimum sufficient reads, then do attribution and narrative.
Every analysis session serves this hierarchy: confidence > efficiency > interpretation.
Every step is tagged with its required tier:
| Tier | Tag | Requires | Free public RPC? |
|---|---|---|---|
| A | [CORE] | Standard JSON-RPC | Yes |
| B |
[Description truncada. Veja o README completo no GitHub.]
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