Agent skill · Data & Analytics

prediction-markets-dome

Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill prediction-markets-dome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 19 KB
Bundled scripts: none
Path: skills/research-tools/capabilities/prediction-markets-dome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Fetches data from prediction markets (Polymarket, Kalshi) including prices, orderbooks, trades, positions, wallets, activity, candlesticks, and related market mappings.

How it works

  • Sets up access via credentials from ~/.gooseworks/credentials.json and uses Bearer auth with the API key.
  • Provides endpoints for: market price by token_id and by market_ticker; orderbook history for Kalshi markets and assets; trade history with filtering; sport/date and matching markets across platforms; positions for a Polymarket proxy wallet; Binance and Chainlink price histories; wallet information with optional metrics; candlesticks by condition_id; crypto prices history; activity data for a user; market searches with multiple filters; polymarket/wallet and polymarket/markets and polymarket/orderbooks requests.
  • Each usage example shows a curl POST to $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run with api set to "dome" and specific path such as "/kalshi/orderbooks", "/polymarket/markets", "/polymarket/trades", etc., and a JSON query payload.

When to use it

Use when you need historical or current data for prediction-market instruments and related analytics, such as price histories, orderbook snapshots, trades, market listings, and user activity, across Polymarket and Kalshi.

What it can touch

  • Tools: "claude-code", "codex", "cursor" (as declared in the skill).
  • API: Dome endpoints under "/kalshi/", "/polymarket/", "/crypto-prices/", "/polymarket/" for markets, trades, orders, wallets, activity, candlesticks, and prices.

Caveats

  • Credentials are read from a local file and Bearer auth is used for all endpoints.
  • All timestamps are specified in seconds or milliseconds depending on endpoint; ensure correct unit when filtering.
  • Some endpoints have optional parameters (start_time, end_time, limit, offset) and defaults are noted in the usage sections.
From the SKILL.md

# Dome - Prediction Markets API ## Setup Read your credentials from ~/.gooseworks/credentials.json: ```bash export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])") export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))") ``` If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login` All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"` Access data from Polymarket and Kalshi prediction markets. ## Capabilities - **Orderbook History**: Fetches historical orderbook snapshots for a specific Kalshi market (ticker) over a specified time range - **Market Price**: Fetches the current market price for a market by token_id - **Market Price**: Fetches the current market price for a Kalshi market by market_ticker - **Trade History**: Fetches historical trade data for Kalshi markets with optional filtering by ticker and time range - **Sport by Date**: Find equivalent markets across different prediction market platforms (Polymarket, Kalshi, etc - **Sports**: Find e

What's inside
Steps it walks through
  1. Setup
  2. Capabilities
  3. Usage
  4. Orderbook History
  5. Market Price
  6. Trade History
  7. Sport by Date
  8. Sports
  9. Positions
  10. Binance Prices
  11. Activity
  12. Markets
  13. Wallet
  14. Candlesticks
Ships with 1 file
  • skill.meta.json
Commands it runs
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
More from goose-skills
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About this skill
What does the prediction-markets-dome skill do?

Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill prediction-markets-dome --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going