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Install in OpenClaw
/install optimize-lp
Description
Get the optimal LP strategy for a token pair — recommends version (V2/V3/V4), fee tier, range width, and rebalance approach based on pair characteristics, historical data, and risk tolerance. Use when the user asks how to LP, what range to use, or which version/fee tier is best.
Usage Guidance
This skill is internally consistent: it only produces strategy recommendations and delegates analysis to an lp-strategist subagent. Before installing or using it, verify the following: (1) inspect the lp-strategist / pool-researcher / risk-assessor implementations or ask the author where they fetch on-chain data (which RPC providers or APIs) and whether any API keys or third-party services are used; (2) never supply private keys or wallet secrets to this skill — execution requires a separate manage-liquidity skill that will need explicit authorization; (3) if you use the README's npx/GitHub install command, review the remote repository contents before running network install commands; (4) treat recommendations as informational — confirm calculations independently before committing funds.
Capability Analysis
Type: OpenClaw Skill
Name: optimize-lp
Version: 0.1.0
The skill bundle is benign. The `SKILL.md` clearly defines the purpose of providing an LP strategy recommendation and delegates to internal OpenClaw subagents (`lp-strategist`, `pool-researcher`, `risk-assessor`) via the `Task` tool. There are no instructions for prompt injection, no direct execution of arbitrary commands, no attempts to exfiltrate data, or any other malicious behaviors. The skill explicitly states it provides a recommendation, not execution, further indicating benign intent.
Capability Assessment
Purpose & Capability
Name/description align with what the SKILL.md actually does: extract pair/capital/risk params and delegate to an lp-strategist agent to produce LP recommendations. Nothing in the manifest or SKILL.md asks for unrelated capabilities (no cloud keys, no system access).
Instruction Scope
The runtime instructions are narrowly scoped: parameter extraction and delegation to Task(subagent_type:lp-strategist). The only caveat is that the heavy work is done by subagents (lp-strategist -> pool-researcher, risk-assessor). Those subagents may fetch on-chain data or call external APIs; the SKILL.md itself does not request extra files/env or instruct reading local files, but you should verify the subagents' behaviors and data sources before trusting outputs.
Install Mechanism
No install spec and no code files (instruction-only) — low install risk. README shows example npx install commands that fetch a GitHub path; if you choose to run those, inspect the remote repo before executing network installs. The packaged skill here does not download or extract binaries.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a read-only recommendation skill. Note: executing trades or adding liquidity would require separate skills (manage-liquidity) that will need wallet keys — this skill explicitly states it does not execute.
Persistence & Privilege
always:false and no special privileges requested. Autonomous invocation is allowed (platform default) but the skill itself does not request permanent presence or modify other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install optimize-lp - After installation, invoke the skill by name or use
/optimize-lp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of the skill.
- Provides actionable LP strategy recommendations for any token pair.
- Analyzes pair volatility, fee tiers, pool versions, optimal range, and rebalance timing.
- Estimates returns and impermanent loss (IL) for different risk tolerances.
- Outputs clear, user-ready strategy and risk assessment.
- Handles errors for missing tokens, pools, or insufficient data.
Metadata
Frequently Asked Questions
What is Uniswap Optimize Lp?
Get the optimal LP strategy for a token pair — recommends version (V2/V3/V4), fee tier, range width, and rebalance approach based on pair characteristics, historical data, and risk tolerance. Use when the user asks how to LP, what range to use, or which version/fee tier is best. It is an AI Agent Skill for Claude Code / OpenClaw, with 745 downloads so far.
How do I install Uniswap Optimize Lp?
Run "/install optimize-lp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Uniswap Optimize Lp free?
Yes, Uniswap Optimize Lp is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Uniswap Optimize Lp support?
Uniswap Optimize Lp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Uniswap Optimize Lp?
It is built and maintained by wpank (@wpank); the current version is v0.1.0.
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