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Defi yield strategy designer

Skill auralshin/agent-skills/skills/defi-yield-strategy-designer

DEFI-focused skill pack for agentic assistants

Install
npx -y skills add auralshin/agent-skills --skill defi-yield-strategy-designer

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Use this skill to design risk-aware DeFi yield strategies and allocation plans based on user constraints, target returns, and downside tolerance.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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DeFi Yield Strategy Designer

Purpose

Design diversified yield strategies that balance return targets with liquidity, drawdown tolerance, and protocol risk.

Use this skill when

  • The user asks for strategy ideas across staking, lending, LPs, and vaults.
  • The user wants allocation weights under explicit risk constraints.
  • The user wants rebalance triggers and downside playbooks.

Workflow

  1. Capture constraints:
    • Capital size and base currency
    • Acceptable drawdown
    • Liquidity needs
    • Chain/protocol restrictions
  2. Choose candidate archetypes from references/strategy-archetypes.md.
  3. For each candidate, score risk/return and run stress scenarios from references/stress-framework.md.
  4. Build allocation proposal with rebalancing and risk limits.
  5. Return a decision-ready plan with explicit assumptions.

Rules

  • Distinguish base yield from token incentive yield.
  • Penalize strategies with high mercenary-capital dependency.
  • Include a no-incentive yield floor estimate.
  • Reference defi-risk-evaluator output if protocol-level risk scoring is needed.

Required output format

{
  "constraints": {
    "capital_usd": 0,
    "target_apy": 0,
    "max_drawdown_pct": 0,
    "liquidity_needs": "daily|weekly|monthly",
    "chain_constraints": ["string"]
  },
  "candidate_strategies": [
    {
      "name": "string",
      "allocation_pct": 0,
      "expected_apy_base": 0,
      "expected_apy_incentives": 0,
      "yield_floor_apy": 0,
      "key_risks": ["string"],
      "stress_case_apy": 0
    }
  ],
  "portfolio_expected_apy": 0,
  "portfolio_yield_floor_apy": 0,
  "rebalance_triggers": ["string"],
  "risk_controls": ["string"],
  "summary": "2-4 sentence summary"
}

Bundled resources

  • references/strategy-archetypes.md
  • references/stress-framework.md

No default script is required for this skill; strategy design is scenario-specific and benefits from flexible reasoning.

Gives 0 of the 12 instructions most design frontend skills give in 471 tokens

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Said here and by no other author read

  • capture capital size and base currency
  • capture acceptable drawdown and liquidity needs
  • capture chain and protocol restrictions
  • choose candidate archetypes
  • score risk and return for each candidate
  • run stress scenarios for each candidate

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