explainx.ainewsletter3.4k
Productivity

grimoire-uniswap▌

franalgaba/grimoire · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/franalgaba/grimoire --skill grimoire-uniswap
0 commentsdiscussion
summary

Retrieve Uniswap router metadata, token lists, and pool snapshots via CLI commands.

  • ›Four command categories: info (adapter overview), routers (by chain), tokens (by symbol or address), and pools (with fee and liquidity filtering)
  • ›Supports Uniswap V3 (SwapRouter02) and V4 (Universal Router with Permit2) adapters across multiple chains
  • ›Output formats include JSON, table, and spell (a params snapshot block for agent workflows)
  • ›Pools can query via The Graph API or onchain factory look
skill.md

Grimoire Uniswap Skill

Use this skill to inspect Uniswap metadata and produce token/pool snapshots for spells.

Preferred invocations:

  • grimoire venue uniswap ...
  • npx -y @grimoirelabs/cli venue uniswap ... (no-install)
  • bun run packages/cli/src/index.ts venue uniswap ... (repo-local)
  • grimoire-uniswap ... (direct binary from @grimoirelabs/venues)

Recommended preflight:

  • grimoire venue doctor --adapter uniswap --chain 1 --rpc-url <rpc> --json

Commands

  • grimoire venue uniswap info — adapter metadata
  • grimoire venue uniswap routers [--chain <id>] — router addresses per chain
  • grimoire venue uniswap tokens [--chain <id>] [--symbol <sym>] [--address <addr>] [--source <url>] — token list lookup
  • grimoire venue uniswap tokens-snapshot [--chain <id>] [--symbol <sym>] [--address <addr>] [--source <url>] — generate spell params: block for tokens (agent-only)
  • grimoire venue uniswap pools --token0 <address|symbol> --token1 <address|symbol> [--chain <id>] [--fee <bps>] [--limit <n>] [--source <url>] [--endpoint <url>] [--graph-key <key>] [--subgraph-id <id>] [--rpc-url <url>] [--factory <address>] — find pools for a token pair
  • grimoire venue uniswap pools-snapshot --token0 <address|symbol> --token1 <address|symbol> [--chain <id>] [--fee <bps>] [--limit <n>] [--source <url>] [--endpoint <url>] [--graph-key <key>] [--subgraph-id <id>] [--rpc-url <url>] [--factory <address>] — generate spell params: block for pools (agent-only)

Pool Data Sources

Pools can be fetched from The Graph (subgraph) or directly from on-chain factory contracts:

  • Subgraph (default when GRAPH_API_KEY is set): queries The Graph decentralized network. Built-in subgraph IDs for Ethereum, Optimism, Polygon, Base, Arbitrum.
  • RPC (fallback): if no usable graph config is present, pools uses on-chain factory lookups (with --rpc-url/RPC_URL when provided, otherwise chain default RPC where available).
  • To force RPC mode: provide --rpc-url and omit --graph-key.

Environment Variables

Variable Description
GRAPH_API_KEY The Graph API key for subgraph queries (get one at https://thegraph.com/studio/apikeys/)
RPC_URL Fallback RPC URL for on-chain pool lookups

Examples

grimoire venue uniswap info --format table
grimoire venue uniswap routers
grimoire venue uniswap routers --chain 1
grimoire venue uniswap tokens --chain 1 --symbol USDC --format spell
grimoire venue uniswap pools --chain 1 --token0 USDC --token1 WETH --fee 3000 --format spell
grimoire venue uniswap pools --chain 8453 --token0 USDC --token1 WETH --fee 500 --rpc-url $RPC_URL --format table
grimoire venue uniswap pools --chain 8453 --token0 USDC --token1 WETH --fee 500 --graph-key $GRAPH_API_KEY --subgraph-id <id>
grimoire venue uniswap tokens-snapshot --chain 1 --symbol USDC
grimoire venue uniswap pools-snapshot --chain 1 --token0 USDC --token1 WETH --rpc-url $RPC_URL

Use tokens-snapshot or pools-snapshot to emit a params: block for spell inputs. These are agent-only commands (output suppressed in interactive mode).

Metric Surface (Spell Comparisons)

Uniswap V3 and V4 expose quote_out for protocol comparison:

v3_out = metric("quote_out", uni_v3, USDC, "asset_out=WETH,amount=1000000,fee_tier=3000")
v4_out = metric("quote_out", uni_v4, USDC, "asset_out=WETH,amount=1000000,fee_tier=3000,tick_spacing=60")

Selector fields:

  • required: asset_out
  • optional: amount (defaults to 1 unit of input asset), fee_tier
  • V4 optional: tick_spacing

Spell Constraints

When writing swap actions in .spell files targeting Uniswap, use with clauses to set constraints:

uniswap_v3.swap(USDC, WETH, params.amount) with (
  fee_tier=3000,
  max_slippage=50,
  min_output=900000000000000,
  deadline=300,
)

fee_tier is required. The adapter throws if fee_tier is not specified. It is an action parameter (not a constraint) and is extracted from the with() clause.

Common fee tiers: 500 (0.05%), 3000 (0.3%), 10000 (1%).

Parameter Type Description
fee_tier integer (bps) Required. Uniswap pool fee tier (e.g. 500, 3000, 10000)
Constraint Type Description
max_slippage integer (bps) Maximum slippage in basis points (e.g. 50 = 0.5%)
min_output integer (wei) Minimum output amount floor
max_input integer (wei) Maximum input amount cap
deadline integer (seconds) Transaction deadline from now
require_quote boolean Fail if on-chain quote fetch fails
require_simulation boolean Fail if simulation unavailable
max_gas integer (wei) Gas estimate cap

Always set both max_slippage and min_output for swaps to prevent unexpected losses.

Supported Adapters

Adapter Router Approval Flow
@uniswap_v3 SwapRouter02 Standard ERC20 approve
@uniswap_v4 Universal Router Permit2

Notes

  • CLI currently exposes V3 metadata. V4 adapter is available programmatically via createUniswapV4Adapter().
  • For metadata lookups (tokens, pools), use grimoire venue uniswap ... even when your spell venue is uniswap_v4.
  • Outputs JSON/table; tokens and pools also support --format spell.
  • Prefer --format json for automation and reproducible snapshots.
  • Only metadata is exposed (no on-chain quote endpoints).
how to use grimoire-uniswap

How to use grimoire-uniswap on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add grimoire-uniswap
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/franalgaba/grimoire --skill grimoire-uniswap

The skills CLI fetches grimoire-uniswap from GitHub repository franalgaba/grimoire and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/grimoire-uniswap

Reload or restart Cursor to activate grimoire-uniswap. Access the skill through slash commands (e.g., /grimoire-uniswap) or your agent's skill management interface.

⚠

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ 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.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.5★★★★★59 reviews
  • ★★★★★Shikha Mishra· Dec 16, 2024

    We added grimoire-uniswap from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★William Diallo· Dec 12, 2024

    I recommend grimoire-uniswap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Fatima Rahman· Dec 8, 2024

    grimoire-uniswap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Nikhil Reddy· Nov 27, 2024

    grimoire-uniswap has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Yash Thakker· Nov 7, 2024

    grimoire-uniswap fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Aarav Liu· Nov 3, 2024

    Useful defaults in grimoire-uniswap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Dhruvi Jain· Oct 26, 2024

    grimoire-uniswap is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Aarav Malhotra· Oct 22, 2024

    grimoire-uniswap has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Sakura Liu· Oct 18, 2024

    Useful defaults in grimoire-uniswap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Sakura Zhang· Sep 25, 2024

    grimoire-uniswap has been reliable in day-to-day use. Documentation quality is above average for community skills.

showing 1-10 of 59

1 / 6