Query Aave V3 market data, reserve snapshots, and health metrics across supported chains.
Works with
Provides six command categories: health checks, chain listings, market metadata, individual market details, reserve information, and bulk reserve queries
Supports Ethereum and Base with automatic RPC configuration via preflight doctor command
Outputs JSON, table, or spell format (for direct strategy input); reserves command can emit params: blocks for downstream consumption
Read-only metadata
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongrimoire-aaveExecute the skills CLI command in your project's root directory to begin installation:
Fetches grimoire-aave from franalgaba/grimoire and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate grimoire-aave. Access via /grimoire-aave in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Use this skill to query Aave V3 metadata and reserve snapshots for strategy inputs.
Preferred invocations:
grimoire venue aave ...npx -y @grimoirelabs/cli venue aave ... (no-install)bun run packages/cli/src/index.ts venue aave ... (repo-local)grimoire-aave ... (direct binary from @grimoirelabs/venues)Recommended preflight:
grimoire venue doctor --adapter aave --chain 1 --rpc-url <rpc> --jsongrimoire venue aave health — check Aave protocol healthgrimoire venue aave chains — list supported chainsgrimoire venue aave markets --chain <id> [--user <address>] — list markets on a chain (optionally with user positions)grimoire venue aave market --chain <id> --address <market> [--user <address>] — single market detailsgrimoire venue aave reserve --chain <id> --market <address> --token <address> — single reserve detailsgrimoire venue aave reserves --chain <id> [--market <address>] [--asset <symbol|address>] — list reserves with optional filtersgrimoire venue aave reserves-snapshot --chain <id> [--market <address>] [--asset <symbol|address>] — generate spell params: block for reserves (agent-only)grimoire venue aave health
grimoire venue aave health --format table
grimoire venue aave chains
grimoire venue aave markets --chain 1 --format table
grimoire venue aave market --chain 1 --address 0x87870Bca3F3fD6335C3F4ce8392D69350B4fA4E2
grimoire venue aave reserve --chain 1 --market 0x87870Bca3F3fD6335C3F4ce8392D69350B4fA4E2 --token 0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48
grimoire venue aave reserves --chain 1 --asset USDC --format table
grimoire venue aave reserves --chain 1 --asset USDC --format spell
grimoire venue aave reserves-snapshot --chain 1 --asset USDC
Use reserves-snapshot to emit a params: block for spell inputs. This is an agent-only command (output suppressed in interactive mode).
| Chain | Market Address |
|---|---|
| Ethereum (1) | 0x87870Bca3F3fD6335C3F4ce8392D69350B4fA4E2 |
| Base (8453) | 0xA238Dd80C259a72e81d7e4664a9801593F98d1c5 |
Aave V3 actions do not currently support runtime constraints (max_slippage, min_output, etc.). The adapter handles approvals and amount conversion automatically.
aave_v3.lend(USDC, params.amount)
aave_v3.withdraw(USDC, params.amount)
aave_v3.borrow(USDC, params.amount)
aave_v3.repay(USDC, params.amount)
Aave exposes the apy metric surface for comparisons:
aave_apy = apy(aave, USDC)
aave_apy_generic = metric("apy", aave, USDC)
Use this in conditional logic (for example, compare against Morpho APY before reallocating).
The @aave/client SDK uses different amount formats per action:
| Action | Format | Example (0.1 USDC) |
|---|---|---|
| supply | value: "0.1" |
Human-readable BigDecimal |
| borrow | value: "0.1" |
Human-readable BigDecimal |
| withdraw | value: { exact: "100000" } |
Raw amount in exact wrapper |
| repay | value: { exact: "100000" } |
Raw amount in exact wrapper |
The adapter handles this conversion automatically.
reserves also supports --format spell.--format json in automation; use table for quick interactive checks.Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for grimoire-aave matched our evaluation — installs cleanly and behaves as described in the markdown.
grimoire-aave is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
grimoire-aave reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in grimoire-aave — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
grimoire-aave has been reliable in day-to-day use. Documentation quality is above average for community skills.
grimoire-aave reduced setup friction for our internal harness; good balance of opinion and flexibility.
grimoire-aave fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for grimoire-aave matched our evaluation — installs cleanly and behaves as described in the markdown.
We added grimoire-aave from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: grimoire-aave is focused, and the summary matches what you get after install.
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