hill-climb
Skill0 starsChanged 51 days agoMITView on GitHub
Use when the user says "hill climb", "climb until", or asks to keep improving something until it reaches a score. Works for any work with a result that can be scored: UI, writing, speed, token use, test pass rate, eval results.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- Enjoyoer/loadouttheir own version, first seen Nov 8, 2026
- niksavis/basiclytheir own version, first seen Nov 8, 2026
- Bil0000/Hill-Climbtheir own version, first seen Nov 8, 2026
- skillberry-ai/cap-evolvetheir own version, first seen Jun 16, 2026
- jpoindexter/ai-agent-skillstheir own version, first seen Jun 9, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- skillberry-ai/cap-evolve★ 69same name
- niksavis/basicly★ 2same name
- Bil0000/Hill-Climb★ 1same name
- jpoindexter/ai-agent-skills★ 1same name
- Enjoyoer/loadout★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. 0 are common, 12 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Before any change, write down:
- Distinctive: line 15
How it's scored: Prefer a number a program produces: tests passing, an eval, a benchmark, bundle size, token count, response time.
- Distinctive: line 18
The target: Default 9/10 for judged work.
- Distinctive: line 19
The budget: Default 8 rounds or 4 hours, whichever comes first.
- Distinctive: line 21
If the scoring isn't clear, ask the user before starting.
- Very specific: line 27
Keep a running log outside the repo (~/.cache/hill-climb/<slug>/log.txt): each round's change, scores and decision.
- Distinctive: line 32
Commit, so every round can be undone.
- Distinctive: line 34
If the score rose by more than the noise, keep the change.
- Distinctive: line 35
Check that nothing that must not get worse did: tests, other categories, earlier gains.
- Distinctive: line 45
never change the scorer, tests or rubric to raise the score.
- Distinctive: line 46
stop and say so if the score rises but the work looks worse to you, for example a design that turns gray and lifeless.
- Distinctive: line 50
Stop at whichever comes first:
- Distinctive: line 52
Target reached: every judge scores every category at or above the target.
- Very specific: line 59
Never raise the target yourself.
“Common” is measured: kept by at least 6 in 10 of the 5 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.
Files
Hill climb
Improve something in rounds. Each round: change it, score it, keep the change if the score went up, undo it if not. Stop when the target is reached, when progress stalls, or when the budget runs out.
1. Agree on the score first
Before any change, write down:
- What's being improved, and what must not get worse ("send less data, with no visible UI change").
- How it's scored. Prefer a number a program produces: tests passing, an eval, a benchmark, bundle size, token count, response time. Programs give the same answer every time.
- If no program can score it (design, writing, UX), use judge models: Codex
gpt-6.1-soland Claude Opus. Give each the same short rubric, 4–6 categories, each out of 10. Show them the work directly: screenshots for UI, the text for writing. - Something to compare against. Judges score honestly only when they see the work next to something else: the version before, competing products, or the best example available. Always include at least one.
- The target. Default 9/10 for judged work. For program scores, use the user's number.
- The budget. Default 8 rounds or 4 hours, whichever comes first.
If the scoring isn't clear, ask the user before starting. The agent will push hard on whatever score it's given, even a bad one.
2. Score the starting point
Score the current version and the comparison examples. For judged work, score the same thing twice and note the difference between the two scores. That difference is the noise: a change smaller than it doesn't count as progress.
Keep a running log outside the repo (~/.cache/hill-climb/<slug>/log.txt): each round's change, scores and decision.
3. Each round
- Pick the biggest weakness from the last scores and fix it.
- Commit, so every round can be undone.
- Re-score. Use the cheapest judge first, and add the next judge only after the first one reaches the target.
- If the score rose by more than the noise, keep the change. Otherwise revert it, note what didn't work, and try something else.
- Check that nothing that must not get worse did: tests, other categories, earlier gains.
Judges:
- are read-only, and never edit anything.
- are never told the target. Knowing it pulls their scores toward it.
- get the same rubric and comparison examples every round.
You:
- never change the scorer, tests or rubric to raise the score. If the scorer seems wrong, stop and tell the user.
- stop and say so if the score rises but the work looks worse to you, for example a design that turns gray and lifeless.
4. When to stop
Stop at whichever comes first:
- Target reached: every judge scores every category at or above the target.
- Stalled: two rounds in a row each improved by less than the noise (judged work: under ~0.2 points; program scores: under 1%, or no new passing cases). Report where it got stuck and suggest a different approach rather than more of the same.
- Budget spent.
- Getting worse: two rounds in a row lowered the score. Go back to the best version.
5. Going past the target
Never raise the target yourself. When it's reached, ask the user (AskUserQuestion in Claude Code, request_user_input in Codex):
- Stop here (recommended)
- Push to 9.5: expect at least as many rounds again as it took to get here.
- Push to 10
Say it plainly: the last half point usually costs more than everything before it, and part of the rise may be judges drifting, not real improvement.
6. Report
- A score table: each round, each judge, each category, plus the comparison examples.
- What helped (one line each) and what was tried and undone.
- Why it stopped: target reached, stalled, budget spent, or getting worse.
- Time and usage spent, if known.
- The final commit or PR.
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