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fabioc-alohafabioc-aloha/Alex_ACT_ONE/skills/spike/SKILL.md

spike

Skill0 starsChanged 9 days agoMITView on GitHub

Use when the user wants to feel out an idea before committing to a real build — "spike this out", "try it", "is this even possible?", "compare A vs B". Throwaway experiments that decompose into 2-5 feasibility questions, build minimal observable prototypes, and return VALIDATED / PARTIAL / INVALIDATED verdicts. Disposable by design. Adapted from Hermes Agent / GSD.

57 other projects use a version of this.

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Projects with it also use competitor-news-monitor, blocked-page-recovery and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 53 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use a spike for a real feasibility uncertainty before a production commitment.

    line 9

“Common” is measured: kept by at least 6 in 10 of the 53 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Spike

Use a spike for a real feasibility uncertainty before a production commitment. Native planning, isolated workspaces, and task execution provide mechanics; the contract is a bounded disposable experiment.

State the hypothesis, observable success/failure conditions, smallest representative input, and what decision the result will change. With the required approval, build only the experiment needed to test it; do not silently graduate throwaway code into production.

For performance, use a timed harness on the same input, repeat measurements, and report the median and run count from tool output. Separate measured timings from subjective quality judgments.

Load the matching method/template in execution details. Preserve privacy and authority: do not install dependencies, provision services, spend credits, publish, or perform destructive cleanup without the applicable consent.

Return VALIDATED, PARTIAL, or INVALIDATED against the stated conditions, with evidence, limitations, and the next decision. Keep source/worktree changes isolated and clean up only the resolved temporary resources this task owns.

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