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Claude Skills by Manoj-11-Dahal
github.com/Manoj-11-Dahal15,860 skills0 installs0 views
- Deepresearch Source Discovery Rapidly Changing Evidence Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Deep research and evidence synthesis: source discovery for rapidly changing evidence. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Time-stamp the search and state how updates will be identified when relevant evidence may change quickly. Success means requirements have priorities, evidence, owners, and measurable acceptance ...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Rapidly Changing Evidence Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Deep research and evidence synthesis: source discovery for rapidly changing evidence. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Time-stamp the search and state how updates will be identified when relevant evidence may change quickly. Success means the owner, constraints, baseline, and acceptance signal are explicit. Use permissioned inputs, ...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Rapidly Changing Evidence Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Deep research and evidence synthesis: source discovery for rapidly changing evidence. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Time-stamp the search and state how updates will be identified when relevant evidence may change quickly. Success means the review names relevant hazards, permissions, controls...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Rapidly Changing Evidence Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Deep research and evidence synthesis: source discovery for rapidly changing evidence. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Time-stamp the search and state how updates will be identified when relevant evidence may change quickly. Success means material claims are linked to current primary sources with dates and limitations. Use permissioned inputs, pre...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Rapidly Changing Evidence Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Deep research and evidence synthesis: source discovery for rapidly changing evidence. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Time-stamp the search and state how updates will be identified when relevant evidence may change quickly. Success means each critical requirement maps to a reproducible check and ...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means the prepared result is reproducible, reviewable, and withi...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Design BlueprintUse when a solution needs a coherent structure before implementation or production for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means interfaces, dependencies, constraints, and review points are testable before buil...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means the failure is bounded by observations, one testab...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means options are compared on user-approved criteria with uncertainty...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means requirements have priorities, evidence, owners, and measurab...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means the owner, constraints, baseline, and acceptance signal are explicit. Use permiss...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means the review names relevant hazards, permiss...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means material claims are linked to current primary sources with dates and limitations. Use permission...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Reproducibility And Audit Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Deep research and evidence synthesis: source discovery for reproducibility and audit. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Preserve protocol, search strings, screening decisions, extraction definitions, versions, and analysis steps for audit. Success means each critical requirement maps to a reproduci...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Build Configuration RunbookUse when an authorized implementation needs repeatable steps and a visible change boundary for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a bounded build or configuration runbook with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means the prepared result is reproducible, reviewable, and within the appro...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Design BlueprintUse when a solution needs a coherent structure before implementation or production for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a staged design blueprint with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means interfaces, dependencies, constraints, and review points are testable before build. Use perm...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Failure Triage And RecoveryUse when an unexpected result needs diagnosis without widening risk or losing evidence for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a failure-triage record and reversible recovery plan with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means the failure is bounded by observations, one testable hypothes...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Option Comparison MatrixUse when several tools, designs, methods, or workflows could satisfy the same need for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce an evidence-backed option-comparison matrix with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means options are compared on user-approved criteria with uncertainty and trade-...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Requirements And Decision BriefUse when a request must be converted into testable constraints and an owned decision for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a reviewable requirements and decision brief with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means requirements have priorities, evidence, owners, and measurable acceptan...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Scope And Baseline RecordUse when the work needs a verified goal, authorized boundary, and starting state for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a scope-and-baseline record with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means the owner, constraints, baseline, and acceptance signal are explicit. Use permissioned input...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Security Rights And Safety ReviewUse when the workflow could affect people, systems, confidential data, intellectual property, or physical outcomes for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a scoped risk-and-control review with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means the review names relevant hazards, permissions, contr...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Source Research And Provenance LedgerUse when a decision depends on current, source-grounded information for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a source-and-claim ledger with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means material claims are linked to current primary sources with dates and limitations. Use permissioned inputs, ...Votes: 0GitHub stars: 2
- Deepresearch Source Discovery Small Or Sparse Evidence Bases Verification And Acceptance Test PlanUse when a result must be checked against explicit behavior, safety, or quality conditions for Deep research and evidence synthesis: source discovery for small or sparse evidence bases. Produce a risk-weighted verification plan with saved evidence with scope, versions, decisions, and evidence for this task-specific gate: Report the amount and quality of available evidence and avoid strong generalization from a sparse base. Success means each critical requirement maps to a reproducible check a...Votes: 0GitHub stars: 2
- Admet Screening WorkflowUse when a task involves organizing in-silico ADMET screening results for a compound set with provenance and uncertainty 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 clinical ...Votes: 0GitHub stars: 2
- Bioacoustic Recording Quality ControlUse when a task involves checking field audio quality and metadata before species analysis 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-con...Votes: 0GitHub stars: 2
- Bioacoustic Species Detection EvaluationUse when a task involves evaluating an acoustic model that detects target species in field recordings 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, h...Votes: 0GitHub stars: 2
- Bioinformatics Sequence AnalysisUse when a task involves planning or reviewing a reproducible bioinformatics sequence-analysis workflow with data provenance and quality checks 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
- Biomarker Evidence LandscapeUse when a task involves organizing evidence for a biomarker by intended use, assay, population, validation stage, and clinical context 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 writ...Votes: 0GitHub stars: 2
- Biomedical Figure ProvenanceUse when a task involves reviewing provenance, labels, and reproducibility for figures generated from biomedical data or research images 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 wri...Votes: 0GitHub stars: 2
- Camera Trap Detection Model EvaluationUse when a task involves evaluating an object detector on camera-trap images from a defined survey 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, hard...Votes: 0GitHub stars: 2
- Conservation Sensitive Location Privacy ReviewUse when a task involves reviewing risks from publishing or sharing biodiversity observations and maps 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, ...Votes: 0GitHub stars: 2
- Drug Target Evidence ReviewUse when a task involves reviewing evidence for a proposed drug-target relationship across mechanism, genetics, pharmacology, and validation 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...Votes: 0GitHub stars: 2
- Genomic Data Privacy GovernanceUse when a task involves planning privacy controls for human genomic or multi-omics data used in research and agent workflows 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 clin...Votes: 0GitHub stars: 2
- Genomic Variant Annotation ReviewUse when a task involves reviewing a genomic variant-annotation workflow for reference build, transcript, evidence, and reproducibility 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 writ...Votes: 0GitHub stars: 2
- Mass Spectrometry Data QualityUse when a task involves reviewing mass-spectrometry data quality from acquisition metadata through identification and quantification outputs 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 externa...Votes: 0GitHub stars: 2
- Metabolic Modeling WorkflowUse when a task involves constructing or reviewing a metabolic model analysis with explicit organism, reaction database, constraints, and validation 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 ...Votes: 0GitHub stars: 2
- Molecular Docking Study PlanningUse when a task involves planning a molecular docking analysis with explicit receptor, ligand, preparation, scoring, and validation assumptions 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 exter...Votes: 0GitHub stars: 2
- Molecular Dynamics Simulation ReviewUse when a task involves reviewing a molecular dynamics simulation plan or result for system preparation, force field, equilibration, and sampling adequacy 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 e...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Approval Evidence PacketUse when a omics batch-effect identifiability result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch,...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Change Impact TraceUse when a version, rule, source, or stakeholder change may affect omics batch-effect identifiability to produce a before/after change record and impact map for the batch-confounding diagnostic. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, and write capabilities only w...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Closeout Handoff LedgerUse when a omics batch-effect identifiability work item is nearing completion, pause, or transfer to another owner to produce a closeout ledger for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, a...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Completeness ReconciliationUse when the omics batch-effect identifiability workflow receives records that must agree across sources, periods, or statuses to produce a reconciliation worksheet for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, br...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Exception Triage QueueUse when the omics batch-effect identifiability workflow has exceptions, missing evidence, or competing priorities to produce a prioritized exception queue for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, ...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Recovery Readiness DrillUse when the omics batch-effect identifiability workflow needs a safe recovery, rollback, replay, or continuity check to produce a recovery-drill record for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, brow...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Scenario Sensitivity MatrixUse when the omics batch-effect identifiability team needs to compare options under changing assumptions to produce a baseline-plus-scenarios matrix for the batch-confounding diagnostic with assumptions and ranges. Success means the baseline is reproducible, scenario inputs are explicit, comparable units are used, and conclusions state uncertainty; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, and wr...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Scope Intake GateUse when a new omics batch-effect identifiability request needs a bounded work scope to produce a scoped intake card for the batch-confounding diagnostic. Success means owner, objective, permitted sources, acceptance condition, exclusions, and deadline are explicit; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Record evidence, limit refinemen...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Source Provenance LedgerUse when a decision about omics batch-effect identifiability depends on facts from several records or public sources to produce a source-to-claim provenance ledger for the batch-confounding diagnostic. Success means each material claim has a source, version/date, location, and confidence note; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, read, browser, test, and write capabilities only when relevant and authorized. Reco...Votes: 0GitHub stars: 2
- Omics Data Batch Effect Threshold Rule CheckUse when a omics batch-effect identifiability decision depends on a limit, eligibility rule, policy, or target to produce a rule-check record for the batch-confounding diagnostic 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; confounded effects are reported as non-identifiable rather than corrected by assumption. Use configured search, fetch, re...Votes: 0GitHub stars: 2
- Omics Data Contrast Design Approval Evidence PacketUse when a RNA-sequencing contrast design result is ready for a human owner to approve, reject, or redirect to produce a decision packet for the contrast and covariate 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; the contrast is estimable under the recorded design or the limitation is explicit. Use configured search, fetch, read, br...Votes: 0GitHub stars: 2
- Omics Data Contrast Design Change Impact TraceUse when a version, rule, source, or stakeholder change may affect RNA-sequencing contrast design to produce a before/after change record and impact map for the contrast and covariate review. Success means each material difference is tied to affected dependencies, consumers, owners, and a test or explicitly unknown impact; the contrast is estimable under the recorded design or the limitation is explicit. Use configured search, fetch, read, browser, test, and write capabilities only when relev...Votes: 0GitHub stars: 2