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Claude Skills by Manoj-11-Dahal
github.com/Manoj-11-Dahal15,860 skills0 installs0 views
- Patternlab Statistical Evidence Assessment Dataset Shift Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means the failure is bounded by observati...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Measured Improvement And HandoffUse when a measured result or recurring failure suggests a change worth testing and handing to an owner for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a versioned improvement proposal and handoff packet with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means the proposed change...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means options are compared on user-approved criteria w...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means requirements have priorities, evidence, owner...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means the owner, constraints, baseline, and acceptance signal are explic...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means the review names relevant h...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means material claims are linked to current primary sources with dates and limitations....Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Dataset Shift Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Pattern recognition and applied machine learning: statistical evidence assessment for dataset shift. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Separate training and evaluation by time/source where appropriate and test for drift against the baseline distribution. Success means each critical requirement maps...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means the prepared result is reproducible, r...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means interfaces, dependencies, constraints, and review points are ...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means the failure is bounded by obse...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means options are compared on user-approved crite...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means requirements have priorities, evidence, ...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means the owner, constraints, baseline, and acceptance signal are e...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means the review names relev...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means material claims are linked to current primary sources with dates and limitat...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment External Validation Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Pattern recognition and applied machine learning: statistical evidence assessment for external validation. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Hold out an independent source or sample before evaluation and report performance variability, not just a point score. Success means each critical requirement...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means the prepared result is reprodu...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means interfaces, dependencies, constraints, and review poi...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means the failure is bounded...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means options are compared on user-approv...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means requirements have priorities, ev...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means the owner, constraints, baseline, and acceptance sign...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means material claims are linked to current primary sources with dates and...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Measurement Uncertainty Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Pattern recognition and applied machine learning: statistical evidence assessment for measurement uncertainty. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Carry sensor, annotation, sampling, and preprocessing error into the interpretation rather than reporting false precision. Success means each critical req...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means the prepared result is reproduci...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means interfaces, dependencies, constraints, and review point...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means the failure is bounded b...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means options are compared on user-approved...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means requirements have priorities, evid...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means the owner, constraints, baseline, and acceptance signal...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means the review names...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means material claims are linked to current primary sources with dates and l...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Missing Observations Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Pattern recognition and applied machine learning: statistical evidence assessment for missing observations. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Describe missingness by field/group and show sensitivity to treatment; do not impute silently or label absence as a signal. Success means each critical requi...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means the prepared result is reproducible, reviewa...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means interfaces, dependencies, constraints, and review points are testab...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means the failure is bounded by observatio...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means options are compared on user-approved criteria wi...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means requirements have priorities, evidence, owners...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means the owner, constraints, baseline, and acceptance signal are explici...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means the review names relevant ha...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means material claims are linked to current primary sources with dates and limitations. ...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Multiple Comparisons Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Pattern recognition and applied machine learning: statistical evidence assessment for multiple comparisons. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Predeclare comparisons or adjust for multiplicity; distinguish exploratory patterns from confirmatory evidence. Success means each critical requirement maps ...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means the prepared result is reproducible, revi...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means interfaces, dependencies, constraints, and review points are tes...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means the failure is bounded by observa...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means options are compared on user-approved criteria...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means requirements have priorities, evidence, own...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means the owner, constraints, baseline, and acceptance signal are expl...Votes: 0GitHub stars: 2
- Patternlab Statistical Evidence Assessment Privacy Constraints Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Pattern recognition and applied machine learning: statistical evidence assessment for privacy constraints. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Minimize personal data, document lawful/approved access, and report subgroup results only where disclosure is safe. Success means the review names relevant...Votes: 0GitHub stars: 2