solana-dca_skill

This skill helps you create and manage Solana DCA investment strategies, forecasting automatic token purchases and monitoring progress across tokens.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill solana-dca

  • _meta.json274 B
  • SKILL.md2.6 KB

Overview

This skill creates and manages automated DCA (dollar-cost averaging) strategies for Solana ecosystem tokens. It supports step-by-step creation, listing, pausing, and resuming of recurring purchase plans. The skill records strategies in simulation mode and guides users through confirmations and parameter choices.

How this skill works

The skill interactively collects parameters (token, USDC amount, frequency) and requires user confirmation before creating a strategy. It uses simple CLI scripts to create, list, pause, or resume strategies for a given user ID. All operations are simulated: strategies are recorded but do not execute on-chain swaps unless explicitly connected to a live execution layer.

When to use it

  • Set up a new recurring purchase plan for SOL, JUP, BONK, RAY, etc.
  • Check current DCA strategies and view their status.
  • Pause an active strategy temporarily or resume a paused one.
  • Adjust or confirm details when you don’t have all parameters upfront.
  • When you want guided, stepwise onboarding for automated buys.

Best practices

  • Always confirm strategy parameters before creation to avoid unintended plans.
  • Inform first-time users that DCA runs in simulation mode and will not execute on-chain trades by default.
  • Recommend users choose amounts consistent with their risk tolerance; avoid suggesting specific amounts.
  • If a user omits parameters, prompt in small steps: token → amount → frequency → confirmation.
  • List strategies when IDs are required for pause/resume operations to prevent mistakes.

Example use cases

  • Create a weekly DCA plan: “Invest 100 USDC into SOL every week.”
  • List all strategies to review active and paused plans for a user account.
  • Pause a specific strategy after a market event, then resume it later.
  • Walk a new user through creating a DCA when they only specify token but not amount or frequency.
  • Switch frequency from daily to weekly by pausing and recreating or updating a strategy (guided workflow).

FAQ

No. By default the DCA functionality is simulated: strategies are recorded but do not perform on-chain swaps unless connected to a live execution component.

What frequencies are supported?

Supported schedules are daily, weekly, monthly, and every 6 hours. Confirm the choice during setup before creating the strategy.

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