How do I install the Chain Ecosystem skill?

Run npx skillmds@latest add defillama/chain-ecosystem in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Chain Ecosystem safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Chain Ecosystem?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Chain Ecosystem free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Chain Ecosystem?

defillama (@defillama) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Chain Ecosystem by defillama — Agent Skill

Name: Chain Ecosystem
Rating: 4.2 (5 reviews)
Author: defillama

Chain Ecosystem

Full blockchain ecosystem analysis covering TVL, top protocols, bridge flows, stablecoin supply, DEX volume, fees, and user activity on a chain. Use when the user asks about a blockchain's ecosystem, "what's happening on Solana", chain health, or a chain-level overview.

defillama 76243c1 2.7 KB Updated Sep 9, 2026

File contents

Chain Ecosystem Analysis

Produce a comprehensive overview of a blockchain ecosystem by combining chain-level metrics with protocol, bridge, stablecoin, and user data.

Workflow

Step 1 - Resolve the chain entity

If the chain slug is unknown or ambiguous, resolve it first.

defillama:resolve_entity
  entity_type: "chain"
  name: "<user-provided name>"

Step 2 - Chain-level metrics

Fetch aggregate TVL, fees, revenue, DEX volume, and trends.

defillama:get_chain_metrics
  chain: "<slug>"

Key fields: tvl_base, chain_fees_1d, chain_revenue_1d, app_fees_1d, volume_dexs_1d, tvl_base_7d_pct_change, tvl_base_30d_pct_change.

Step 3 - Top protocols on the chain

Identify the largest protocols by TVL on this chain.

defillama:get_protocol_metrics
  chain: "<slug>"

Step 4 - Bridge flows

Measure capital entering and leaving the chain.

defillama:get_bridge_flows
  chain: "<slug>"

Positive net flow = capital inflow (bullish). Negative = outflow.

Step 5 - Stablecoin supply

Assess stablecoin liquidity available on the chain.

defillama:get_stablecoin_supply
  chain: "<slug>"

Step 6 - User activity

Fetch active addresses and transaction counts.

defillama:get_user_activity
  chain: "<slug>"

Output Format

Present the report with these sections in order:

Chain Overview - Summary paragraph: what the chain is known for, current positioning in the market.
Key Metrics - Table of TVL, fees, revenue, DEX volume, and percentage changes.
Top Protocols - Top 5-10 protocols by TVL with category and TVL.
Bridge Activity - Net flows, top bridges, inflow vs outflow breakdown.
Stablecoin Liquidity - Total stablecoin supply on chain, top stablecoins, and trend direction.
User Activity - Active addresses, transaction counts, growth trends.

Tips

Rising stablecoin supply + positive bridge flows = capital accumulating on chain (bullish signal).
Compare chain metrics to the previous period to identify momentum.
If a single protocol dominates TVL (>50%), note the concentration risk.
DEX volume relative to TVL indicates capital efficiency.
Use start_date / end_date for custom date ranges when analyzing specific periods (e.g., start_date: "2025-01-01", end_date: "2025-03-31").

---name: chain-ecosystemdescription: Full blockchain ecosystem analysis covering TVL, top protocols, bridge flows, stablecoin supply, DEX volume, fees, and user activity on a chain. Use when the user asks about a blockchain's ecosystem, "what's happening on Solana", chain health, or a chain-level overview.--- # Chain Ecosystem Analysis Produce a comprehensive overview of a blockchain ecosystem by combining chain-level metrics with protocol, bridge, stablecoin, and user data. ## Workflow ### Step 1 - Resolve the chain entity If the chain slug is unknown or ambiguous, resolve it first. ``` defillama:resolve_entity entity_type: "chain" name: "<user-provided name>" ``` ### Step 2 - Chain-level metrics Fetch aggregate TVL, fees, revenue, DEX volume, and trends. ``` defillama:get_chain_metrics chain: "<slug>" ``` Key fields: `tvl_base`, `chain_fees_1d`, `chain_revenue_1d`, `app_fees_1d`, `volume_dexs_1d`, `tvl_base_7d_pct_change`, `tvl_base_30d_pct_change`. ### Step 3 - Top protocols on the chain Identify the largest protocols by TVL on this chain. ``` defillama:get_protocol_metrics chain: "<slug>" ``` ### Step 4 - Bridge flows Measure capital entering and leaving the chain. ``` defillama:get_bridge_flows chain: "<slug>" ``` Positive net flow = capital inflow (bullish). Negative = outflow. ### Step 5 - Stablecoin supply Assess stablecoin liquidity available on the chain. ``` defillama:get_stablecoin_supply chain: "<slug>" ``` ### Step 6 - User activity Fetch active addresses and transaction counts. ``` defillama:get_user_activity chain: "<slug>" ``` ## Output Format Present the report with these sections in order: 1. **Chain Overview** - Summary paragraph: what the chain is known for, current positioning in the market. 2. **Key Metrics** - Table of TVL, fees, revenue, DEX volume, and percentage changes. 3. **Top Protocols** - Top 5-10 protocols by TVL with category and TVL. 4. **Bridge Activity** - Net flows, top bridges, inflow vs outflow breakdown. 5. **Stablecoin Liquidity** - Total stablecoin supply on chain, top stablecoins, and trend direction. 6. **User Activity** - Active addresses, transaction counts, growth trends. ## Tips - Rising stablecoin supply + positive bridge flows = capital accumulating on chain (bullish signal). - Compare chain metrics to the previous period to identify momentum. - If a single protocol dominates TVL (>50%), note the concentration risk. - DEX volume relative to TVL indicates capital efficiency. - Use `start_date` / `end_date` for custom date ranges when analyzing specific periods (e.g., `start_date: "2025-01-01", end_date: "2025-03-31"`).

Frequently asked questions