Repository
CliMA/EnsembleKalmanProcesses.jl agent skills
- skills
- 5
- GitHub stars
- 127
GitHub description: “Derivative-free parameter calibration and uncertainty quantification for expensive models using ensemble Kalman methods”
- Stars
- 127 (23 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Nov 2020
- bayesian-inference
- calibration
- data-assimilation
- derivative-free-optimization
- ensemble-kalman-filter
- ensemble-kalman-inversion
- inverse-problems
- julia
- machine-learning
- optimization
- parameter-estimation
- scientific-computing
- uncertainty-quantification
Install all skills
npx skills add CliMA/EnsembleKalmanProcesses.jlAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in CliMA/EnsembleKalmanProcesses.jl, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Scaffold and maintain a SLURM/HPC job-dependency tree for an EnsembleKalmanProcesses.jl (EKP) calibration pipeline. | CliMA/ | 127 | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Run an adversarial mathematical-accuracy review of a Julia package's src/ and test/ directories, producing a dated markdown report plus concise, self-contained fix-prompt markdowns suitable for… | CliMA/ | 127 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Add concise Base.show and Base.summary methods to Julia types whose default REPL representation is unhelpful or overwhelming. | CliMA/ | 127 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Add or normalise Julia docstrings on public symbols (exported types, functions, and constants) so the package's public API is fully self-documenting and the Documenter.jl docs build passes its… | CliMA/ | 127 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Rewrite vague, delayed, or low-context Julia error messages into structured, actionable diagnostics. | CliMA/ | 127 | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | today |
Questions, answered from the data.
What is the best skill in CliMA/EnsembleKalmanProcesses.jl?
Slurm Pipeline Manager from CliMA/EnsembleKalmanProcesses.jl ranks first of the 5 skills in CliMA/EnsembleKalmanProcesses.jl listed here, with the highest score: its repository has 127 GitHub stars, its SKILL.md loads about 3.4k tokens and it passes the automated safety check with no findings. Next come Math Auditor and Base Show.
Are the skills in CliMA/EnsembleKalmanProcesses.jl official?
None yet. All 5 skills in CliMA/EnsembleKalmanProcesses.jl listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from CliMA/EnsembleKalmanProcesses.jl?
Run npx skills add CliMA/EnsembleKalmanProcesses.jl in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.