Chainlink Data Feeds Skill logo

Chainlink Data Feeds Skill

Organization
smartcontractkit
chainlink-data-feeds-skill

Helps developers read Chainlink price feeds with AggregatorV3Interface and latestRoundData. This is not a Data Streams report. REST and WebSocket report streams go to chainlink-data-streams-skill. It applies to price feed integration, feed address lookup, consumer contracts, multi-chain feeds, MVR bundle feeds, SVR and OEV feeds, feed monitoring, historical data, L2 sequencer checks, rates and volatility feeds, and SmartData and RWA feeds.

Overview

Publishersmartcontractkit
Repositorychainlink-agent-skills
Skill namechainlink-data-feeds-skill
Stars
126
Forks
26
Bundled files
16
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by smartcontractkit on GitHub. Read the source before you install it.

Installation

Install the Chainlink Data Feeds Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/smartcontractkit/chainlink-agent-skills/tree/main/chainlink-data-feeds-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/smartcontractkit/chainlink-agent-skills.git /tmp/chainlink-agent-skills
mkdir -p .claude/skills
cp -r /tmp/chainlink-agent-skills/chainlink-data-feeds-skill .claude/skills/chainlink-data-feeds-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chainlink Data Feeds Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chainlink Data Feeds Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chainlink Data Feeds Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Chainlink Data Feeds Skill

Progressive Disclosure

Request / triggersLoad
EVM read, consumer contract, off-chain read, address lookup/debuggingprice feeds
Working Foundry/Data Feeds projectLoad the starter README and every listed file; reply with their contents or a tailored derivative, never a local/absolute path alone. Preserve layout and include install/test/deploy commands, Sepolia ETH/USD or verified named-network lookup, unaudited/not-for-production warning, and L2 sequencer protection.
Multiple-Variable Response, multi-variable feed, BundleAggregatorProxyMVR
Smart Value Recapture, OEV/MEV recapture, searcher onboardingSVR
Feed categories/selection, SmartData/RWA, rates/volatility, tokenized equitytypes
Solana, StarkNet, Aptos, Tron, Move, Cairo, Anchor, TronBoxmulti-chain
L2 sequencer, deprecation, monitoring, registry, responsibilities, data sources, self-managed feedsoperations
Live addresses/schedules/parameters; interface/signature mismatch, proxy/aggregator source, GitHub exampleofficial sources, then docs index for facts the curated references do not have

Do not load references speculatively. Default EVM requests to price feeds; ask only when routing depends on missing context. Do not assume this skill is the only capability available. Hand CCIP/bridge, VRF, Automation, and Functions requests to their owning products exclusively, giving each product's standard next steps from general knowledge; emit no Data Feeds or weaker substitute and never improvise live constants. When a user requests Data Feeds code or operational steps, emit that deliverable in the response; never replace it with a status or completion summary. For MVR requests, choose the MVR route even when a live address, feed ID, or schema cannot be verified; use clearly marked placeholders for unverified values and continue with all requested design, consumer code, tests, and configuration instead of stopping at verification. Every SVR response must emit the exact standalone sentence Complete the Chainlink compatibility form before any onboarding or address-migration guidance. For a configuration-focused SVR protocol integration or migration, give concise configuration, onboarding, verification, and safety steps plus only the minimal address/configuration delta; do not emit a full consumer unless the user explicitly requests one. Keep auction mechanics high-level and exclude searcher-only selectors, WebSocket endpoints, signing instructions, and MEV-Share/Atlas bot implementation details unless the user explicitly asks to build or operate a searcher.

Safety rules

  1. Validate updatedAt against the feed heartbeat; reject incomplete or stale rounds.
  2. Call decimals() at runtime; never hardcode decimals.
  3. On L2, always use AggregatorV2V3Interface for the sequencer uptime feed—never AggregatorV3Interface; reject answer != 0 and enforce the 3600-second recovery grace period.
  4. Never use deprecated answeredInRound for freshness or other logic.
  5. For an implicit current-price Solidity getter, use the exact named-return form returns (int256 price, uint8 decimals); declare uint256 updatedAt; first, then assign (, price,, updatedAt,) = dataFeed.latestRoundData();. Do not substitute an unnamed-return or alternate compiling tuple form.
  6. Warn that examples are unaudited and not for production; mainnet integrators own audits, dependencies, monitoring, circuit breakers, contingencies, and user risk disclosure.

Freshness policy

  1. Use this skill's references first.
  2. If official-sources.md names the page, fetch that page's .md URL.
  3. If it does not, fetch https://docs.chain.link/data-feeds/llms.txt, pick one page, and fetch that page's .md URL.
  4. Fetch https://docs.chain.link/data-feeds/llms-full.txt only when the question is broad and no one page covers it.
  5. Use Context7 only when the .md fetch fails, the page is empty, or the page has under 1,000 useful characters and does not answer. Ask for the missing fact only.
  6. Stop when the page answers. Fetch at most three pages. Prefer the .md URL. Use Accept: text/markdown on the normal page URL only when the tool cannot open the .md URL and can set that header.
  7. Never improvise live facts or patterns. If a value is unverified, say so and name the URL.

Invariants

  • Read EVM proxies, not underlying aggregators.
  • Preserve the starter kit layout/README invariants; replace illustrations and tune heartbeat/mock values.
  • Use AggregatorV3Interface for single values, IBundleAggregatorProxy for MVR, and AggregatorV2V3Interface for sequencer uptime.
  • A live feed address in config must be copied from the official address page fetched in this turn. When that page lists more than one contract for the pair, use the contract for the product the user asked for. A normal price read uses the standard proxy, not an SVR, backup, or legacy proxy. If the page was not fetched, use a placeholder and say the address is unverified. Never present a remembered address as the verified current feed.
  • Verify unknown feed IDs, schemas, parameters, and support.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Chainlink Data Feeds Skill AI skill do?

Helps developers read Chainlink price feeds with AggregatorV3Interface and latestRoundData. This is not a Data Streams report. REST and WebSocket report streams go to chainlink-data-streams-skill. It applies to price feed integration, feed address lookup, consumer contracts, multi-chain feeds, MVR bundle feeds, SVR and OEV feeds, feed monitoring, historical data, L2 sequencer checks, rates and volatility feeds, and SmartData and RWA feeds.

Why use Chainlink Data Feeds Skill on TypingMind?

Because you install it once and use it with any model. Chainlink Data Feeds Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chainlink Data Feeds Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/smartcontractkit/chainlink-agent-skills/tree/main/chainlink-data-feeds-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Chainlink Data Feeds Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chainlink Data Feeds Skill?

As many as you like. As long as a model supports skills, you can use Chainlink Data Feeds Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chainlink Data Feeds Skill AI skill free?

Yes. It is published on GitHub by smartcontractkit under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇