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rubenmarcusrubenmarcus/agent-skills/skills/gauntlet-loop/SKILL.md

gauntlet-loop

Skill2 starsChanged 12 days agoMITView on GitHub

Improve a product or artifact through repeated construction, independent critique, measured comparison, and regression checks. Use for sustained iteration when a single implementation pass cannot establish the required quality.

20 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use codebase-design, research and 3 more.

Other files people use alongside this one.

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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    Also in 3 projects that use this

  • NVIDIASkill

    research

    Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.

    Also in 4 projects that use this

  • MicrosoftSkill

    handoff

    Compact the current conversation into a handoff document for another agent to pick up.

    Also in 5 projects that use this

  • GoogleSkill

    grilling

    Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

    Also in 3 projects that use this

  • +1 more from google

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 7

    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:

    Start with a baseline and explicit quality bar.

    line 8
  2. Distinctive:

    Keep technical correctness, runtime evidence, visual judgment, and user acceptance distinct.

    line 14
  3. Distinctive:

    Ask an independent critic to compare raw artifacts against the specification.

    line 20
  4. Distinctive:

    Check for regressions and metric gaming.

    line 21
  5. Distinctive:

    Keep, revise, or reject the candidate using evidence.

    line 22
  6. Distinctive:

    Use a round record to preserve the comparison and next hypothesis.

    line 32
  7. Distinctive:

    Stop when the objective is met, the user stops work, an agreed limit is reached, or an actual blocker prevents meaningful progress.

    line 36

“Common” is measured: kept by at least 6 in 10 of the 20 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

Gauntlet loop

Start with a baseline and explicit quality bar. The builder produces candidates; independent evaluation determines whether the evidence supports keeping them.

Establish the bar

Translate the desired outcome into observable behavior. Record the input, environment, baseline artifact, measurement method, and budgets. Explain where thresholds come from.

Keep technical correctness, runtime evidence, visual judgment, and user acceptance distinct. A green suite establishes only the contracts it exercises.

Run one useful round

  1. Give a builder a bounded change and ownership of affected files.
  2. Capture the actual result in the same scenario as the baseline.
  3. Ask an independent critic to compare raw artifacts against the specification.
  4. Check for regressions and metric gaming.
  5. Keep, revise, or reject the candidate using evidence.

Parallel builders need separate worktrees or non-overlapping ownership. Sequence work with dependent outputs. Use the user's selected browser and environment for visual verification; coordinate captures so competing sessions do not distort results.

An expensive result should survive a cheaper diagnostic first. Do not broaden work merely because another iteration is possible.

Decide the next round

Fix regressions before adding polish. Compare the same inputs, viewport, load, revision, and measurement window. Record unavoidable differences.

Use a round record to preserve the comparison and next hypothesis. Retain a failed candidate's useful evidence without mixing its changes into the accepted result.

Continue toward acceptance within the agreed scope and budget. If progress stalls, change the hypothesis or run a discriminating experiment.

Stop when the objective is met, the user stops work, an agreed limit is reached, or an actual blocker prevents meaningful progress. Report missing evidence explicitly.

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