Market Context Refresh

Refresh crypto market context and rewrite market-context.md with a decision-ready Take.

6|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill market-context-refresh-anajuliabit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Market Context Refresh
Source: https://github.com/anajuliabit/aeon/tree/main/skills/market-context-refresh
Command: npx skills add https://github.com/anajuliabit/aeon --skill market-context-refresh-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual effort of gathering scattered crypto market signals by automatically refreshing a single decision-ready source of truth for the agent’s strategy and memory.

Core Features & Use Cases

  • Decision-ready market take: Produces a concise regime call (risk-on/risk-off/rotation/chop/capitulation-squeeze) with conviction and a single strongest evidence datum.
  • Live multi-source signal consolidation: Pulls macro/market breadth (CoinGecko), DeFi TVL and flow proxies (DeFiLlama), sentiment (Fear & Greed), and prediction-market positioning (Polymarket Gamma).
  • Delta-first updates with preservation: Computes changes vs the prior snapshot and uses explicit fallbacks to avoid overwriting with broken/empty data.
  • Narrative phase classification: Outputs 3–5 meta-narratives with evidence and a phase (emerging/rising/peak/fading) for downstream token selection.

Quick Start

Run the scheduled Market Context Refresh to overwrite memory/topics/market-context.md with a fresh Take, deltas, narratives, and updated token picks history.

Frequently Asked Questions about Market Context Refresh

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate daily crypto market intelligence gathering for autonomous agents?

Automated crypto market intelligence gathering is done by running a scheduled refresh that fetches live prices, DeFi TVL, sentiment, and prediction-market signals, then overwrites a market context file with a decision-ready take for downstream autonomous agents.

What is the best way to consolidate crypto sentiment and DeFi TVL data into a single market regime classification?

Consolidating crypto sentiment and DeFi TVL into a market regime classification involves pulling live data from CoinGecko, DeFiLlama, Fear & Greed, and Polymarket to output a concise risk-on, risk-off, rotation, or capitulation-squeeze regime call with conviction.

How do I track emerging crypto narrative phases using prediction market positioning?

Tracking emerging crypto narratives with prediction market data involves fetching positioning signals from Polymarket Gamma and classifying 3–5 meta-narratives into phases like emerging, rising, peak, or fading for downstream token selection.

Can I use scheduled market context refreshes in unattended cron workflows without losing prior data on API failure?

Scheduled market context refreshes support unattended cron workflows by using explicit per-source fallbacks and preserve-on-failure safeguards, ensuring broken or empty API data does not overwrite the prior valid market snapshot.

How do I compute deterministic snapshot deltas for crypto portfolio guidance?

Deterministic snapshot deltas for crypto portfolio guidance are computed by comparing live multi-source market signals against the prior snapshot to generate delta-first updates, ensuring accurate tracking of price and DeFi flow changes over time.

Does crypto market context refresh work with memory-driven narrative tracking and token-pick selection?

Crypto market context refresh works with narrative tracking and token-pick selection by rewriting memory topics with a fresh take, narrative phases, and a non-truncated token picks history table for downstream monitoring actions.