Agent Skill that makes your AI crypto-native with an understanding of onchain capital markets: vaults, curators, yield decomposition, oracle classes, RWAs, stablecoins. Evergreen mental models plus li
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Agent Skill that makes your AI crypto-native with an understanding of onchain capital markets: vaults, curators, yield decomposition, oracle classes, RWAs, stablecoins. Evergreen mental models plus live-data discipline: every number dated, every yield decomposed, read-only always.
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A skill that makes your AI crypto-native. Give it an understanding of capital markets. Use it to assess any vault or yield down to its lowest layer, decompose any APY into what you would actually earn, monitor what changed this week, write accurate DeFi content, and learn key financial concepts.
Works with Claude Code, Cursor, Codex, and any agent that reads the Agent Skills format. MIT licensed.
Built by @emilylai as a way to deepen my own capital markets and market microstructure understanding, as crypto increasingly becomes finance on new rails.
This skill gives your agent two things:檢視完整 README ↗A skill that makes your AI crypto-native. Give it an understanding of capital markets. Use it to assess any vault or yield down to its lowest layer, decompose any APY into what you would actually earn, monitor what changed this week, write accurate DeFi content, and learn key financial concepts.
Works with Claude Code, Cursor, Codex, and any agent that reads the Agent Skills format. MIT licensed.
Built by @emilylai as a way to deepen my own capital markets and market microstructure understanding, as crypto increasingly becomes finance on new rails.
This skill gives your agent two things:
For example, if you want to break down a DeFi vault strategy, an agent with this skill names the five layers, looks through to the real collateral, names the oracle class, splits base from incentives, points at first loss, and says whether liquidations can fire on the tape humans see.
Over 6,000 pages and hundreds of corpus files. Books on banking, finance, and money. Transcripts from the latest industry conferences: TokenizeThis NYC 2026, Vault Summit 2026, Stablecoin Summit, the Aug 20 CFTC advisory committee meeting. Multiple podcasts from curators, asset managers, founders, and builders. Multiple reports, academic papers, X articles, and essays. SEC filings and regulatory primaries. A 90+ source protocol docs manifest (Morpho, Aave, Euler, Ethena, Pendle, Midas, EtherFi, Veda, Securitize, Chainlink, and more), every URL liveness-checked.
Before release, every load-bearing claim was re-verified against live primary sources, the skill was audited adversarially by a panel of independent models, and it was eval-gated: paired runs with and without the skill, graded on structure, not memorized numbers. Dated figures inside are calibration examples; the skill re-verifies at use time by design.
flowchart TD
Q[User asks about DeFi:<br/>a vault, a yield, an options play,<br/>a trade, a curator, a market] --> S[SKILL.md<br/>9 prime directives, routing, the loop]
S --> C{Classify the ask}
C -->|learn| AN[analogs.md<br/>TradFi Rosetta stone +<br/>baseline chapters]
C -->|learn / create| TP[task-playbooks.md]
C -->|assess / recommend| PB[defi-opportunities-playbook.md<br/>12-step assessment, recommendation<br/>protocol, composed positions,<br/>the depth floor]
C -->|options / LP| OL[options-and-liquidity.md<br/>options from zero;<br/>every CL position is a<br/>short option]
C -->|trades / blowups| TA[trade-anatomy.md<br/>order types, what is this<br/>book short, OTC locked tokens]
C -->|rate a manager| CF[curation-frameworks.md<br/>eleven frameworks,<br/>one scoreable anatomy]
C -->|RWA mint/redeem, APY print| RM[rwa-fund-mechanics.md<br/>settlement classes, forward pricing,<br/>APY formulas, issuer fee map]
C -->|tokens| TV[tokens-and-value-accrual.md]
C -->|perps / funding| PF[perps-and-funding.md]
C -->|monitor| MP[market-pulse.md<br/>weekly pulse, ToS diffing]
S --> K[concepts.md<br/>18 evergreen sections:<br/>balance sheets, yield, oracles,<br/>look-through, failure shapes]
PB --> CH[checklist.md<br/>unanswered items are findings]
PB --> CS[credit-cycles-and-history.md]
S --> R[api-routes.json<br/>question-to-API router:<br/>MCP, then keyed, then keyless;<br/>the key offer]
R --> D[data-sources.md<br/>recipes, pitfalls,<br/>freshness rules]
R --> M[manifest.json<br/>140 verified doc sources,<br/>priority tiers, llms.txt]
R --> P[scripts/pulse.py<br/>keyless live pulls]
K --> G[glossary.md<br/>136 entries]
PB --> OUT[Output: dated numbers, decomposed yield,<br/>named risks and seats with their numbers,<br/>exit engineering, watch plan,<br/>research-not-advice close]
Progressive disclosure: only the description is always loaded. SKILL.md loads when a DeFi question fires it; references load only when the task routes there; the manifest is an address book the agent fetches 4 to 6 rows from, never whole.
Learning:
Due diligence and opportunity:
Content and marketing:
Monitoring:
Full worked outputs: examples/assessment-example.md (the minimum-bar skeleton, fictional product) and evals/sample-output-2026-08-28.md (a full real run under the recommendation protocol).
| File | What it is |
|---|---|
| SKILL.md | The brain: 9 prime directives, routing, and the working loop |
| analogs.md | The TradFi Rosetta stone: every onchain object mapped to its ancestor, plus the baseline chapters (money hierarchy, duration, settlement, claim types) |
| concepts.md | The evergreen foundation: 18 sections from balance sheets to oracle classes to legal classification |
| defi-opportunities-playbook.md | The flagship workflow: 12-step assessment, recommendation protocol, composed positions, the depth floor |
| options-and-liquidity.md | Options from zero, and the identity that every concentrated liquidity position is a short option |
| trade-anatomy.md | Order types, what every "neutral" book is short, and the locked-token OTC trade decomposed with real 2026 prints |
| market-microstructure.md | Depth, squeezes, manipulation fingerprints, and tokenized stocks: three prices, two clocks, and the mint/redeem rail |
| launch-microstructure.md | Launch factories vs storefronts, bonding curves vs live pools, hook locks, amp floor, Doppler / Clanker / Bankr / Pons / pump.fun |
| curation-frameworks.md |
Easiest: ask your agent to do it. If you use Claude Code (or another coding agent), paste this into it and it will install the skill for you:
Install the skill from github.com/emlai/defi-native-skill by running: npx skills add emlai/defi-native-skill
Or run one command yourself. This goes in your computer's terminal, not in a chat window:
npx skills add emlai/defi-native-skill
If step 2 says command not found: npx, install Node.js first from nodejs.org (the LTS download), then repeat step 2. The skills CLI works for Claude Code, Cursor, Codex, and other Agent Skills hosts.
Updating: installed skills do not update themselves, but this one checks: during monitoring tasks it compares its version against this repo and tells you when an update exists. To update, run npx skills update (or git pull in the cloned folder). The skill never loads or follows remote files at runtime; what you reviewed is what runs.
Manual (for developers):
git clone https://github.com/emlai/defi-native-skill.git
ln -s "$(pwd)/defi-native-skill" ~/.claude/skills/defi-native
Other Agent Skills hosts: same folder into that host's skills directory (.agents/skills/ for the cross-agent standard).
Optional keys for deeper data (none required): see the bring-your-own-keys table in references/data-sources.md. Everything core works keyless.
Issues and pull requests welcome. Read CONTRIBUTING.md first: the conventions are strict (dated numbers, no em dashes, decomposition discipline) and PRs that add undated figures or recommendations without the full view will be asked to revise. The highest-value contributions: new verified manifest sources with llms.txt endpoints, postmortem-sourced failure shapes, corrections with primary sources, and eval cases that catch a real failure.
MIT. See LICENSE. This skill produces research, not financial advice; DeFi carries total-loss tails, and the skill says so in every assessment.
| Eleven published curator and allocator frameworks distilled into one scoreable anatomy |
| data-sources.md | Where to get live data: keyless APIs, fallbacks, and the bring-your-own-keys table |
| checklist.md | The full pre-verdict checklist; unanswered items are findings |
| task-playbooks.md | How to teach the space and how to write accurate DeFi content |
| market-pulse.md | The monitoring discipline: weekly pulse, leading indicators, structural signals |
| rwa-fund-mechanics.md | The RWA primary market: mint/redeem settlement classes, forward pricing and stale-rate arbitrage, the APY print taxonomy, the issuer fee map, and the audited take-rate print |
| tokens-and-value-accrual.md | Is this token worth anything: rights, accrual mechanisms, launch supply mechanics |
| perps-and-funding.md | Perpetual futures, funding rates, basis strategies, venue due diligence |
| credit-cycles-and-history.md | Cycle classification and the historical rhyme table |
| glossary.md | The vocabulary, one line each |
| pulse.py | A small script for keyless live data pulls: stablecoin float, TVL, yields |
| api-routes.json | The question-to-API router: which endpoint answers this question, keyless or keyed, and what your own key unlocks |
| manifest.json | The address book: 140 verified doc sources with priority tiers and llms.txt endpoints |
| evals/ | Test cases plus a full real sample output |
| examples/ | Worked examples, including a failure autopsy |