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Claude Skills by nota-america

github.com/nota-america
3,475 skillsA× 3,419B× 49C× 3D× 40 installs177 views
Plugin SettingsA

This skill should be used when the user asks about "plugin

ai-agentsgobash
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63
Plugin StructureA

This skill should be used when the user asks to "create a plugin",

ai-agentspythongo
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63
Skill DevelopmentA

This skill should be used when the user wants to "create a skill",

ai-agentspythongo
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63
Command DevelopmentA

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

ai-agentstypescriptgo
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63
Session ReportA

Generate an explorable HTML report of Claude Code session usage

ai-agentsgonode
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63
Session ReportA

Generate an explorable HTML report of Claude Code session usage

ai-agentsgonode
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63
Session ReportA

Generate an explorable HTML report of Claude Code session usage

ai-agentsgonode
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63
Session ReportA

Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.

ai-agentsgonode
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63
Skill CreatorA

Create new skills, modify and improve existing skills, and measure

ai-agentspythonrust
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63
Skill CreatorA

Create new skills, modify and improve existing skills, and measure

ai-agentspythonrust
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63
Skill CreatorA

Create new skills, modify and improve existing skills, and measure

ai-agentspythonrust
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63
Instrument Data To AllotropeA

Convert laboratory instrument output files (PDF, CSV, Excel, TXT)

ai-agentspythongo
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63
Nextflow DevelopmentC

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on

ai-agentspythongo
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63
Scientific Problem SelectionA

This skill should be used when scientists need help with research

ai-agentsgodocumentation
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63
Scvi ToolsA

Deep learning for single-cell analysis using scvi-tools. This skill

ai-agentspythonbash
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63
Single Cell Rna QcA

Performs quality control on single-cell RNA-seq data (.h5ad or .h5

ai-agentspythonbash
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63
StartA

Set up your bio-research environment and explore available tools.

ai-agentsgonode
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63
Nextflow DevelopmentC

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.

ai-agentspythongo
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Single Cell Rna QcA

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.

ai-agentspythonbash
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StartA

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

ai-agentsgonode
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63
Customer EscalationA

Package an escalation for engineering, product, or leadership with

ai-agentsgoapi
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63
Customer ResearchA

Multi-source research on a customer question or topic with source

ai-agentsrustgo
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63
Draft ResponseA

Draft a professional customer-facing response tailored to the

ai-agentsrustgo
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63
Kb ArticleA

Draft a knowledge base article from a resolved issue or common

ai-agentsrustgo
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63
Ticket TriageA

Triage and prioritize a support ticket or customer issue. Use when

ai-agentsrustgo
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63
Customer EscalationA

Package an escalation for engineering, product, or leadership with

ai-agentsgoapi
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63
Customer ResearchA

Multi-source research on a customer question or topic with source

ai-agentsrustgo
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63
Draft ResponseA

Draft a professional customer-facing response tailored to the

ai-agentsrustgo
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63
Kb ArticleA

Draft a knowledge base article from a resolved issue or common

ai-agentsrustgo
0
63
Ticket TriageA

Triage and prioritize a support ticket or customer issue. Use when

ai-agentsrustgo
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63
Customer EscalationA

Package an escalation for engineering, product, or leadership with

ai-agentsgoapi
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63
Customer ResearchA

Multi-source research on a customer question or topic with source

ai-agentsrustgo
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63
Draft ResponseA

Draft a professional customer-facing response tailored to the

ai-agentsrustgo
0
63
Kb ArticleA

Draft a knowledge base article from a resolved issue or common

ai-agentsrustgo
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63
Ticket TriageA

Triage and prioritize a support ticket or customer issue. Use when

ai-agentsrustgo
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63
Customer EscalationA

Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.

ai-agentsgoapi
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Customer ResearchA

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

ai-agentsrustgo
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Draft ResponseA

Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.

ai-agentsrustgo
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63
Kb ArticleA

Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.

ai-agentsrustgo
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63
Ticket TriageA

Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.

ai-agentsrustgo
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63
AnalyzeA

Answer data questions -- from quick lookups to full analyses. Use

ai-agentspythongo
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63
Build DashboardA

Build an interactive HTML dashboard with charts, filters, and

ai-agentsjavascriptgo
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63
Create VizA

Create publication-quality visualizations with Python. Use when

ai-agentspythongo
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63
Data Context ExtractorA

Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill ...

ai-agentsgosql
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Data VisualizationA

Create effective data visualizations with Python (matplotlib,

ai-agentspythongo
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63
Explore DataA

Profile and explore a dataset to understand its shape, quality, and

ai-agentsgosql
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63
Sql QueriesA

Write correct, performant SQL across all major data warehouse

ai-agentsgosql
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Statistical AnalysisA

Apply statistical methods including descriptive stats, trend

ai-agentspythongo
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63
Validate DataA

QA an analysis before sharing -- methodology, accuracy, and bias

ai-agentspythongo
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63
Write QueryA

Write optimized SQL for your dialect with best practices. Use when

ai-agentsgosql
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63