convex-agent
Deposit Curve LP tokens for boosted CRV/CVX rewards and claim extra incentives.
Best use case
convex-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deposit Curve LP tokens for boosted CRV/CVX rewards and claim extra incentives.
Teams using convex-agent should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/convex-agent/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How convex-agent Compares
| Feature / Agent | convex-agent | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Deposit Curve LP tokens for boosted CRV/CVX rewards and claim extra incentives.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Convex Finance Boosted Rewards Agent Deposit Curve LP tokens for boosted CRV/CVX rewards and claim extra incentives. ## Source - **Discovered via**: AltLLM web search (2026-03-22) - **URL**: https://github.com/convex-eth
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