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Yeachan-HeoYeachan-Heo/oh-my-claude-sisyphus/skills/hillclimb/SKILL.md

hillclimb

Skill41k starsChanged 4 days agoMITView on GitHub

Sustained single-metric improvement loop — hypothesis, before/after measurement against a fixed baseline, decision log, one accepted commit per verified win. For targets climbed over multiple rounds; not one-off fixes.

12 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    no measurable baseline exists yet — build the measurement first (that is round zero, not skippable)

    line 30
  2. Distinctive:

    Never stack two hypotheses in one round.

    line 53
  3. Distinctive:

    Never move the baseline, relax the check, or cherry-pick the favorable run — a climb that cheats its measurement is worse than no climb.

    line 55
  4. Very specific:

    Every decision row names its measurement evidence.

    line 57

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

Hillclimb

Climb one metric scientifically: each round is a hypothesis, a measurement against a fixed baseline, and a decision — keep the win, revert the loss. One accepted commit per verified win; the log is the climb's memory.

When to use

  • a measurable target will take multiple rounds ("cut cold-start to <2s", "get flaky suite under 1%")
  • the user names a metric to improve, not a feature to build

When not to use

  • a one-off fix with a known cause — debug or execute
  • no measurable baseline exists yet — build the measurement first (that is round zero, not skippable)

The loop

  1. Fix the baseline: the metric's definition, the exact command that measures it, and the current value — measured, not estimated (benchmark-checklist discipline). The baseline command never changes mid-climb; if it must, the climb restarts.
  2. Log the target and the climb in .omc/state/decision-trail-{task-slug}.tsv via the show-me-your-work trail: one row per round.
  3. One hypothesis per round: what you believe will move the metric and why. State it before touching code.
  4. Implement on a branch, measure with the baseline command, and apply benchmark-checklist before believing any number.
  5. Decide: a verified win is committed alone (one commit per win, so any regression bisects to a single round); a loss or wash is reverted and logged with what was learned. Neither counts as failure — both are data.
  6. Repeat until the target is reached or the hypothesis space is exhausted — then report the plateau honestly instead of grinding.

Rules

  • Never stack two hypotheses in one round; a stacked win cannot be attributed.
  • Never move the baseline, relax the check, or cherry-pick the favorable run — a climb that cheats its measurement is worse than no climb.
  • Every decision row names its measurement evidence; every claim is labeled measured, inferred, or guess (principles skill, Explain the number).
  • The final reply reports: rounds run, wins kept, the measured delta from the original baseline, and what was tried and rejected.

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