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Claude Skills by Manoj-11-Dahal
github.com/Manoj-11-Dahal15,860 skills0 installs0 views
- Patternlab Time Series Analysis Reproducibility 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: time-series analysis for reproducibility. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Record data version, feature steps, parameters, random state, software version, and reproducible evaluation method. Success means each critical requirement maps to a reprodu...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means the prepared result is reproducible, reviewable, and within the ...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means interfaces, dependencies, constraints, and review points are testable before build. Use...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means the failure is bounded by observations, one testable hyp...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples 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: time-series analysis for small samples. Produce a versioned improvement proposal and handoff packet with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means the proposed change is compared with a b...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means options are compared on user-approved criteria with uncertainty and t...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means requirements have priorities, evidence, owners, and measurable acc...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means the owner, constraints, baseline, and acceptance signal are explicit. Use permissioned ...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples 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: time-series analysis for small samples. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means the review names relevant hazards, permissions, ...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: time-series analysis for small samples. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means material claims are linked to current primary sources with dates and limitations. Use permissioned inp...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Small Samples 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: time-series analysis for small samples. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Report sample count, unit of analysis, uncertainty range, and the limits of generalizing from a small sample. Success means each critical requirement maps to a reproducible ch...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means the prepared result is reproducible, reviewable, and ...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Design BlueprintUse when a solution needs a coherent structure before implementation or production for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means interfaces, dependencies, constraints, and review points are testable before...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means the failure is bounded by observations, one t...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement 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: time-series analysis for source disagreement. Produce a versioned improvement proposal and handoff packet with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means the proposed change is compar...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means options are compared on user-approved criteria with uncert...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means requirements have priorities, evidence, owners, and mea...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means the owner, constraints, baseline, and acceptance signal are explicit. Use pe...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement 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: time-series analysis for source disagreement. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means the review names relevant hazards, pe...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Pattern recognition and applied machine learning: time-series analysis for source disagreement. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means material claims are linked to current primary sources with dates and limitations. Use permi...Votes: 0GitHub stars: 2
- Patternlab Time Series Analysis Source Disagreement 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: time-series analysis for source disagreement. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Compare labels, collection procedures, and subgroup composition before interpreting disagreement as a real effect. Success means each critical requirement maps to a repr...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Approval Evidence PacketUse when a CSV formula injection prevention result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the spreadsheet-safe export test containing options, evidence, risks, and open questions. Success means the decision owner, requested decision, source evidence, alternatives, uncertainty, and consequence of no action are all visible; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, ...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Change Impact TraceUse when a version, rule, source, or stakeholder change may affect CSV formula injection prevention to produce a before/after change record and impact map for the spreadsheet-safe export test. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, and write capabilities only wh...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Closeout Handoff LedgerUse when a CSV formula injection prevention work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the spreadsheet-safe export test with status, evidence, owner, and retention state. Success means all deliverables, unresolved items, approvals, and next owners are recorded, and the stop reason is explicit; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, an...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Completeness ReconciliationUse when the CSV formula injection prevention workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the spreadsheet-safe export test with matched, unmatched, and unresolved rows. Success means counts and key fields reconcile or every variance is quantified, sourced, and left unresolved for an owner; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, bro...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Exception Triage QueueUse when the CSV formula injection prevention workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the spreadsheet-safe export test with evidence, owner, and next action. Success means every exception has a severity rationale, source, owner or explicit unassigned state, and a bounded next step; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, a...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Recovery Readiness DrillUse when the CSV formula injection prevention workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the spreadsheet-safe export test with starting state, test, and observed outcome. Success means the dry-run or approved non-production drill meets the predeclared recovery target and leaves the baseline intact; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, brows...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Scenario Sensitivity MatrixUse when the CSV formula injection prevention team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the spreadsheet-safe export test with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, and wri...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Scope Intake GateUse when a new CSV formula injection prevention request needs a bounded work scope to produce a scoped intake card for the spreadsheet-safe export test. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refinement...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Source Provenance LedgerUse when a decision about CSV formula injection prevention depends on facts from several records or public sources to produce a source-to-claim provenance ledger for the spreadsheet-safe export test. Success means each material claim has a source, version/date, location, and confidence note; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Recor...Votes: 0GitHub stars: 2
- Aas Data Csv Formula Threshold Rule CheckUse when a CSV formula injection prevention decision depends on a limit, eligibility rule, policy, or target to produce a rule-check record for the spreadsheet-safe export test showing source, units, boundary case, and outcome. Success means the rule source and effective date are verified, units and scope match, and borderline cases are flagged rather than auto-approved; exported values remain data and do not execute formulas when opened in supported viewers. Use configured search, fetch, rea...Votes: 0GitHub stars: 2
- Csv Header Contract Drift ClassifierUse when a CSV producer or consumer starts receiving a changed header row to create or update a schema-diff report with compatibility classification. Use the configured search, fetch, read, browser, and test capabilities only when available and authorized. Success criterion: the observed header maps to the declared contract or triggers a clear migration action. Preserve evidence and a run record, limit rework to three meaningful passes, and obtain approval before externally visible or irrever...Votes: 0GitHub stars: 2
- Earth Observation Orbit Access AnalysisUse when a task involves estimating observation access windows from orbit, target, and payload constraints to define the target, lifecycle stage, controlling artifact, authoritative evidence, version or operating conditions, sensitivity, and approval boundary before applying the method. Separate observed facts from assumptions and model output. Verify the result with appropriate independent checks, preserve provenance, and report uncertainty and limitations. Do not perform production, financi...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Approval Evidence PacketUse when a field-survey schema and collection quality result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the field collection schema review containing options, evidence, risks, and open questions. Success means the decision owner, requested decision, source evidence, alternatives, uncertainty, and consequence of no action are all visible; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured ...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Closeout Handoff LedgerUse when a field-survey schema and collection quality work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the field collection schema review with status, evidence, owner, and retention state. Success means all deliverables, unresolved items, approvals, and next owners are recorded, and the stop reason is explicit; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fetch, read, br...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Completeness ReconciliationUse when the field-survey schema and collection quality workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the field collection schema review with matched, unmatched, and unresolved rows. Success means counts and key fields reconcile or every variance is quantified, sourced, and left unresolved for an owner; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, f...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Exception Triage QueueUse when the field-survey schema and collection quality workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the field collection schema review with evidence, owner, and next action. Success means every exception has a severity rationale, source, owner or explicit unassigned state, and a bounded next step; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fetch, read, b...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Recovery Readiness DrillUse when the field-survey schema and collection quality workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the field collection schema review with starting state, test, and observed outcome. Success means the dry-run or approved non-production drill meets the predeclared recovery target and leaves the baseline intact; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fet...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Scenario Sensitivity MatrixUse when the field-survey schema and collection quality team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the field collection schema review with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fetch, read, browser...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Scope Intake GateUse when a new field-survey schema and collection quality request needs a bounded work scope to produce a scoped intake card for the field collection schema review. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, l...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Source Provenance LedgerUse when a decision about field-survey schema and collection quality depends on facts from several records or public sources to produce a source-to-claim provenance ledger for the field collection schema review. Success means each material claim has a source, version/date, location, and confidence note; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and au...Votes: 0GitHub stars: 2
- Geo Ops Field Schema Threshold Rule CheckUse when a field-survey schema and collection quality decision depends on a limit, eligibility rule, policy, or target to produce a rule-check record for the field collection schema review showing source, units, boundary case, and outcome. Success means the rule source and effective date are verified, units and scope match, and borderline cases are flagged rather than auto-approved; records contain the needed fields without collecting unnecessary personal or sensitive data. Use configured sea...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Approval Evidence PacketUse when a GeoParquet packaging and partition review result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the geospatial package validation report containing options, evidence, risks, and open questions. Success means the decision owner, requested decision, source evidence, alternatives, uncertainty, and consequence of no action are all visible; package metadata and representative spatial queries are reproducible in the declared target environment...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Change Impact TraceUse when a version, rule, source, or stakeholder change may affect GeoParquet packaging and partition review to produce a before/after change record and impact map for the geospatial package validation report. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; package metadata and representative spatial queries are reproducible in the declared target environment. Use configured search, fetch, read, browser, test...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Closeout Handoff LedgerUse when a GeoParquet packaging and partition review work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the geospatial package validation report with status, evidence, owner, and retention state. Success means all deliverables, unresolved items, approvals, and next owners are recorded, and the stop reason is explicit; package metadata and representative spatial queries are reproducible in the declared target environment. Use configured search...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Completeness ReconciliationUse when the GeoParquet packaging and partition review workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the geospatial package validation report with matched, unmatched, and unresolved rows. Success means counts and key fields reconcile or every variance is quantified, sourced, and left unresolved for an owner; package metadata and representative spatial queries are reproducible in the declared target environment. Use con...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Exception Triage QueueUse when the GeoParquet packaging and partition review workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the geospatial package validation report with evidence, owner, and next action. Success means every exception has a severity rationale, source, owner or explicit unassigned state, and a bounded next step; package metadata and representative spatial queries are reproducible in the declared target environment. Use configured searc...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Recovery Readiness DrillUse when the GeoParquet packaging and partition review workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the geospatial package validation report with starting state, test, and observed outcome. Success means the dry-run or approved non-production drill meets the predeclared recovery target and leaves the baseline intact; package metadata and representative spatial queries are reproducible in the declared target environment. Use confi...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Scenario Sensitivity MatrixUse when the GeoParquet packaging and partition review team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the geospatial package validation report with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; package metadata and representative spatial queries are reproducible in the declared target environment. Use configured search, fet...Votes: 0GitHub stars: 2
- Geo Ops Geoparquet Scope Intake GateUse when a new GeoParquet packaging and partition review request needs a bounded work scope to produce a scoped intake card for the geospatial package validation report. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; package metadata and representative spatial queries are reproducible in the declared target environment. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. R...Votes: 0GitHub stars: 2