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Get Started Free →Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.
.claude/skills/mise-configurator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | — | — |
| case-03 | ✗→✓ | ▲ Improved | — | — |
| case-09 | ✗→✓ | ▲ Improved | — | — |
| case-04 | ✗→✓ | ▲ Improved | — | — |
| case-07 | ✗→✓ | ▲ Improved | — | — |
This skill generates clean, production-ready mise.toml configurations for local development environments and CI/CD pipelines.
It helps standardize runtime versions, simplify onboarding, replace legacy version managers like asdf, nvm, and pyenv, and create reproducible multi-language environments with minimal setup effort.
mise.toml.tool-versions, asdf, nvm, or pyenvInspect available repository files such as:
package.jsonpnpm-lock.yamlpyproject.tomlrequirements.txtgo.modCargo.toml.tool-versionsDockerfileInfer languages, package managers, and pinned versions.
mise.tomlCreate a minimal, valid, copy-paste-ready configuration using:
Provide setup commands such as:
bashmise trust mise install
If requested, generate pipeline examples using mise with caching and runtime installation.
toml[tools] node = "22.11.0" pnpm = "9.15.0"
toml[tools] python = "3.12.7" poetry = "1.8.4"
yamlsteps: - uses: actions/checkout@v4 - uses: jdx/mise-action@v2 - run: poetry install - run: pytest
latest or lts aliases in shared production configs unless explicitly requestedSolution: Check repository lockfiles and pinned versions first.
Solution: Enable cache layers and reuse mise cache directories.
Solution: Verify plugin support or install manually.
@docker-expert - Use when building containerized development environments@github-actions-templates - Use for advanced workflow automation@monorepo-architect - Use for large multi-package repositories| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +30 percentage points is the difference between those two pass rates over the 23 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.