Individual skill
matlab-engineer-tabular-features
Use when engineering or selecting the best features for single-response classification or regression in MATLAB, whatever the data's modality — for non-tabular data it routes extraction to a domain skill, then selects, assesses, and delivers on the resulting table. Not for multi-response problems, model training, or raw data acquisition.
skills-catalog/ai-and-statistics/matlab-engineer-tabular-features/SKILL.md
Source commit 032b4b605999b1f4adecaac1efa1c9faad41adf6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,273
- Repository last updated
- Nov 5, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- claude-code Repository topic
- codex-plugin Repository topic
- github-copilot Repository topic
- matlab Repository topic
- matlab-mcp-server Repository topic
- engineering-agents Repository topic
- codex Repository topic
- codex-skills Repository topic
- engineering Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 19,303 bytesSKILL.mdcore · 19,303 bytesmanifest.yamlasset · 570 bytesreferences/assess.mddoc · 17,134 bytesreferences/deliver.mddoc · 13,329 bytesreferences/domain-routing.mddoc · 18,498 bytesreferences/feature-pool.mddoc · 11,178 bytesreferences/intake.mddoc · 17,349 bytesreferences/internal-helpers.mddoc · 12,485 bytesreferences/provider-protocol.mddoc · 12,558 bytesreferences/report.mddoc · 9,894 bytesreferences/reproduce-pool.mddoc · 7,296 bytesreferences/select.mddoc · 7,235 bytesscripts/BordaVoter.masset · 2,379 bytesscripts/ConsensusVoter.masset · 2,601 bytesscripts/MajorityVoter.masset · 2,050 bytesscripts/RRFVoter.masset · 1,986 bytesscripts/assessGenerationStability.masset · 12,228 bytesscripts/assessKFold.masset · 21,070 bytesscripts/assessSelectionStability.masset · 10,076 bytesscripts/baselineComparison.masset · 19,327 bytesscripts/buildRecipe.masset · 8,446 bytesscripts/chooseNumBins.masset · 5,148 bytesscripts/chooseStandardization.masset · 4,608 bytesscripts/computeNSelect.masset · 2,997 bytesscripts/createConsensusVoter.masset · 2,222 bytesscripts/describeFeatures.masset · 5,266 bytesscripts/expandBlockMap.passet · 440 bytesscripts/featureSetQuality.masset · 12,565 bytesscripts/generateFeatureReport.masset · 68,776 bytesscripts/generateFeatureReportPdf.masset · 66,455 bytesscripts/generateFeatures.masset · 14,965 bytesscripts/hasReportGenerator.masset · 630 bytesscripts/isDomainRecipe.masset · 1,419 bytesscripts/isStringEmpty.masset · 577 bytesscripts/lambdaSequence.passet · 637 bytesscripts/lassoFeatureRanking.passet · 971 bytesscripts/macroF1Score.masset · 931 bytesscripts/mrmrFeatureRanking.passet · 239 bytesscripts/mutualInformationPanel.passet · 1,090 bytesscripts/ncaFeatureRanking.passet · 464 bytesscripts/nogueiraStability.masset · 3,932 bytesscripts/oobFeatureRanking.passet · 414 bytesscripts/plotSelectionConsensus.masset · 2,806 bytesscripts/plotSelectionDecision.masset · 6,422 bytesscripts/plotSelectionStability.masset · 10,401 bytesscripts/plotValidationBaseline.masset · 6,230 bytesscripts/printSummary.masset · 18,737 bytesscripts/profileForSplit.masset · 6,308 bytesscripts/rankAgreement.masset · 1,306 bytesscripts/rankFeatures.masset · 6,305 bytesscripts/reserveHoldoutForUser.masset · 5,582 bytesscripts/runConsensusSelection.masset · 9,636 bytesscripts/sampleSkewness.masset · 600 bytesscripts/saveResults.masset · 2,135 bytesscripts/scoreFeaturePanel.passet · 1,685 bytesscripts/screenPredictors.masset · 13,614 bytesscripts/selectFeatures.masset · 2,397 bytesscripts/splitStrategy.masset · 5,524 bytesscripts/stratifiedDownsampleRows.masset · 2,270 bytesscripts/stratifiedSubsampleIndices.masset · 3,489 bytesscripts/transformFeatures.masset · 6,263 bytesscripts/validateRecipe.masset · 12,557 bytesscripts/writeInferenceScript.masset · 10,785 bytes
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