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Alternatives explore

Skill yarlson/yarstack/plugins/yarstack/skills/alternatives-explore

Engineering workflows and standards for Codex and Claude Code: plan, implement, test, review, and deliver repository changes.

Install
npx -y skills add yarlson/yarstack --skill alternatives-explore

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Generate and evaluate genuinely different approaches to a product, workflow, or system problem. Use when the user explicitly wants a bold, contrarian, experimental, or non-incremental alternative and a testable recommendation.

SKILL.md

1.4 KB, as published. Nobody here has run it

Alternative Ideation

Recommend one useful abstraction shift and a bounded experiment without turning ideation into architecture or implementation.

Workflow

  1. State the core problem, current assumptions, constraints, and outcome that must remain valuable.
  2. Generate several materially different bets by changing ownership, workflow, abstraction, distribution, architecture, or a supposedly necessary component.
  3. Evaluate each bet for user value, distinctness, feasibility, reversibility, and testability.
  4. Select the strongest bet and explain which default assumption it rejects, why that matters, and where it could fail.
  5. Define the smallest experiment with bounded cost and a falsifiable success signal.

Do not produce cosmetic variants, settle final architecture, research unresolved technical facts, write an implementation plan, or implement the experiment. Use architecture-refine for architectural convergence, technical-spike for blocking technical evidence, and plan-create for implementation planning.

Finish after recommending one experiment and its success signal. A recommendation does not authorize implementation.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.