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Claude Skills by Manoj-11-Dahal
github.com/Manoj-11-Dahal15,860 skills0 installs0 views
- Ai Content Rights And ProvenanceUse when a task involves reviewing rights, consent, attribution, and disclosure for AI-assisted text, image, audio, or video deliverables to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domain; do ...Votes: 0GitHub stars: 2
- Contrast Token Change Visual RecheckUse when color tokens or theme variables changed across a UI surface to create or update a token-to-component contrast result list. Use the configured search, fetch, read, browser, and test capabilities only when available and authorized. Success criterion: affected combinations meet the project’s chosen contrast criteria in each supported theme. Preserve evidence and a run record, limit rework to three meaningful passes, and obtain approval before externally visible or irreversible writes.Votes: 0GitHub stars: 2
- DrawioUse when a task involves creating or revising an editable draw.io diagram that accurately communicates a process, architecture, or data flow to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domain; ...Votes: 0GitHub stars: 2
- Foundry Pdk Release Compatibility AuditUse when a task involves checking design and verification artifacts against a specific process design kit release 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, ...Votes: 0GitHub stars: 2
- Google Slides Presentation ReviewUse when a task involves reviewing a Google Slides presentation for narrative flow, chart clarity, accessibility, and factual consistency to identify the research or operational question, target population or system, relevant version, sensitive data, and approval boundary before acting. Use current primary sources, produce a traceable artifact, and verify it against explicit criteria. Trigger for planning, analysis, review, or troubleshooting in this focused domain; do not execute external wr...Votes: 0GitHub stars: 2
- High End Visual DesignUse when a task involves crafting a polished visual direction for a premium digital experience with deliberate composition and material choices to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domai...Votes: 0GitHub stars: 2
- Place Route Congestion TriageUse when a task involves diagnosing congestion in a digital physical-design result 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, financial, hardware-control, de...Votes: 0GitHub stars: 2
- Visual Baseline Environment Provenance RecordUse when visual regressions are reported across browsers, machines, or deployment previews to create or update a screenshot manifest with browser, viewport, scale, theme, build, and fixture metadata. Use the configured search, fetch, read, browser, and test capabilities only when available and authorized. Success criterion: the baseline and candidate were captured under comparable conditions. Preserve evidence and a run record, limit rework to three meaningful passes, and obtain approval befo...Votes: 0GitHub stars: 2
- Visual Recognition System DevelopmentUse when building or modifying a system that classifies, detects, segments, tracks, or otherwise interprets images or video to define the task, dataset rights, evaluation slices, and operating limits before choosing a model, and test against held-out data without overstating accuracy. Trigger for camera, image, or visual perception workflows.Votes: 0GitHub stars: 2
- Copy EditingUse when a task involves editing existing prose for clarity, grammar, consistency, and audience fit while preserving the author's meaning to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domain; do ...Votes: 0GitHub stars: 2
- CopywritingUse when a task involves drafting original audience-specific copy for a page, message, email, or campaign from an approved brief to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domain; do not insta...Votes: 0GitHub stars: 2
- Risk Of Bias AssessmentUse when a task involves assessing risk of bias in a study using a design-appropriate framework and evidence from the paper to identify the research or operational question, target population or system, relevant version, sensitive data, and approval boundary before acting. Use current primary sources, produce a traceable artifact, and verify it against explicit criteria. Trigger for planning, analysis, review, or troubleshooting in this focused domain; do not execute external writes or clinic...Votes: 0GitHub stars: 2
- Adobe Analytics Executive BriefingUse when a task involves turning Adobe Analytics findings into a concise executive briefing with traceable KPIs and calibrated claims to identify the intended outcome, affected account or artifact, exact product version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive details, produce a reviewable result, and verify it against explicit criteria. Trigger for planning, configuration, implementation, or troubleshooting in this focuse...Votes: 0GitHub stars: 2
- Adobe Analytics Kpi AnalysisUse when a task involves analyzing Adobe Analytics KPIs over a defined time period with metric definitions and segment context to identify the intended outcome, affected account or artifact, exact product version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive details, produce a reviewable result, and verify it against explicit criteria. Trigger for planning, configuration, implementation, or troubleshooting in this focused area;...Votes: 0GitHub stars: 2
- Adobe Cja Funnel DiagnosticsUse when a task involves diagnosing a customer-journey funnel in Adobe Customer Journey Analytics using explicit event and fallout definitions to identify the intended outcome, affected account or artifact, exact product version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive details, produce a reviewable result, and verify it against explicit criteria. Trigger for planning, configuration, implementation, or troubleshooting in th...Votes: 0GitHub stars: 2
- Adobe Cja Segment ComparisonUse when a task involves comparing Adobe Customer Journey Analytics segments with aligned metrics, time windows, and eligibility rules to identify the intended outcome, affected account or artifact, exact product version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive details, produce a reviewable result, and verify it against explicit criteria. Trigger for planning, configuration, implementation, or troubleshooting in this focus...Votes: 0GitHub stars: 2
- Arize DatasetUse when a task involves preparing a traceable dataset for model evaluation, observability analysis, or experiment comparison to identify the intended outcome, relevant inputs, platform or version, sensitive data, and permission boundary before acting. Use current primary documentation for version-sensitive behavior, produce a reviewable artifact, and verify it against stated criteria. Trigger for planning, implementation, evaluation, or troubleshooting in this focused domain; do not install ...Votes: 0GitHub stars: 2
- Camera Analytics Incident Evidence PreservationUse when a task involves preserving authorized video-analytics evidence for a defined operational incident 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
- Chart Series Source Row Value TraceUse when a chart is revised or a reported figure is questioned to create or update a chart-point ledger with series, category, source row, and transformation. Use the configured search, fetch, read, browser, and test capabilities only when available and authorized. Success criterion: sampled chart points match source values and the documented transform. Preserve evidence and a run record, limit rework to three meaningful passes, and obtain approval before externally visible or irreversible wr...Votes: 0GitHub stars: 2
- Dashboard Filter Query State ReplayUse when filters, date ranges, or segments change on an analytics dashboard to create or update a control-to-query replay record with result identifiers. Use the configured search, fetch, read, browser, and test capabilities only when available and authorized. Success criterion: copied state reconstructs the same filters and visible aggregate. Preserve evidence and a run record, limit rework to three meaningful passes, and obtain approval before externally visible or irreversible writes.Votes: 0GitHub stars: 2
- Edge Video Analytics False Alarm TriageUse when a task involves triaging false alerts from an edge video analytics system 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, financial, device-control, depl...Votes: 0GitHub stars: 2
- Market Data Corporate Action Integrity ReviewUse when a task involves checking price and position series for splits, dividends, symbol changes, and delistings 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, ...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Approval Evidence PacketUse when a model baseline comparison result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, a...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Change Impact TraceUse when a version, rule, source, or stakeholder change may affect model baseline comparison to produce a before/after change record and impact map for the baseline comparison table. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and author...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Closeout Handoff LedgerUse when a model baseline comparison work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities o...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Completeness ReconciliationUse when the model baseline comparison workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write ...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Exception Triage QueueUse when the model baseline comparison workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities ...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Recovery Readiness DrillUse when the model baseline comparison workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write ca...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Scenario Sensitivity MatrixUse when the model baseline comparison team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the baseline comparison table with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities only w...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Scope Intake GateUse when a new model baseline comparison request needs a bounded work scope to produce a scoped intake card for the baseline comparison table. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refinement to three focused pass...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Source Provenance LedgerUse when a decision about model baseline comparison depends on facts from several records or public sources to produce a source-to-claim provenance ledger for the baseline comparison table. Success means each material claim has a source, version/date, location, and confidence note; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refi...Votes: 0GitHub stars: 2
- Ml Data Ops Baseline Comparison Threshold Rule CheckUse when a model baseline comparison decision depends on a limit, eligibility rule, policy, or target to produce a rule-check record for the baseline comparison table 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; the model is compared to an appropriate baseline on the same data and metric. Use configured search, fetch, read, browser, test, and ...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Approval Evidence PacketUse when a prediction calibration review result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read,...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Change Impact TraceUse when a version, rule, source, or stakeholder change may affect prediction calibration review to produce a before/after change record and impact map for the calibration evidence brief. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and write capabilities only when re...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Closeout Handoff LedgerUse when a prediction calibration review work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and wri...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Completeness ReconciliationUse when the prediction calibration review workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser,...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Exception Triage QueueUse when the prediction calibration review workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and wr...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Recovery Readiness DrillUse when the prediction calibration review workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, t...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Scenario Sensitivity MatrixUse when the prediction calibration review team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the calibration evidence brief with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and write ca...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Scope Intake GateUse when a new prediction calibration review request needs a bounded work scope to produce a scoped intake card for the calibration evidence brief. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refinement to t...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Source Provenance LedgerUse when a decision about prediction calibration review depends on facts from several records or public sources to produce a source-to-claim provenance ledger for the calibration evidence brief. Success means each material claim has a source, version/date, location, and confidence note; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evi...Votes: 0GitHub stars: 2
- Ml Data Ops Calibration Review Threshold Rule CheckUse when a prediction calibration review decision depends on a limit, eligibility rule, policy, or target to produce a rule-check record for the calibration evidence brief 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; calibration claims are bounded to the evaluation sample and no threshold is auto-applied. Use configured search, fetch, read, br...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Approval Evidence PacketUse when a tabular model input-drift monitoring result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the drift-monitor definition 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; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, ...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Change Impact TraceUse when a version, rule, source, or stakeholder change may affect tabular model input-drift monitoring to produce a before/after change record and impact map for the drift-monitor definition. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, test, and write capabilities only when rel...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Closeout Handoff LedgerUse when a tabular model input-drift monitoring work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the drift-monitor definition 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; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, test, and writ...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Completeness ReconciliationUse when the tabular model input-drift monitoring workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the drift-monitor definition 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; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, ...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Exception Triage QueueUse when the tabular model input-drift monitoring workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the drift-monitor definition 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; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, test, and wri...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Recovery Readiness DrillUse when the tabular model input-drift monitoring workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the drift-monitor definition 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; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, te...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Scenario Sensitivity MatrixUse when the tabular model input-drift monitoring team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the drift-monitor definition with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, test, and write cap...Votes: 0GitHub stars: 2
- Ml Data Ops Drift Monitoring Scope Intake GateUse when a new tabular model input-drift monitoring request needs a bounded work scope to produce a scoped intake card for the drift-monitor definition. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; alerts distinguish data-contract breaks from population movement and have an owner. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refinement to th...Votes: 0GitHub stars: 2