Design, critique, route, and implement Gantt charts and schedule visualizations. Use when the user mentions Gantt charts, project schedules, roadmaps with task spans, milestones, dependencies, predecessors, critical path, baselines, WBS, resource plans, capacity timelines, MS Project, Primavera P6, Jira Advanced Roadmaps, GitHub Projects, Smartsheet, monday.com, Asana, ClickUp, Azure DevOps iterations, or importing/exporting project-management data for a timeline chart.
npx skills add https://github.com/openai/plugins --skill gantt-chart-visualization
Use this skill when work is organized around time spans, milestones, dependencies, resources, or schedule risk. A Gantt chart is a product surface as much as a chart: it usually combines a task grid, a calendar axis, bars, milestones, dependency links, editing rules, and integration with a project-management source of truth.
Default assumption: recommend a Gantt chart only when the schedule itself is the evidence. If the user mainly needs flow state, task ownership, ranking, issue status, or calendar booking, consider Kanban, tables, milestone timelines, dependency graphs, resource timelines, or uncertainty views first.
Gantt charts are wide by nature. Use ../../references/foundations/mobile-first-responsive-visualization.md so mobile portrait gets a usable summary or focused slice, and mobile landscape is considered when horizontal schedule inspection matters.
references/gantt-chart-design-and-use-cases.md for chart-fit decisions, use cases, and alternatives.references/gantt-interaction-patterns.md for interactive product behavior and editing contracts.references/gantt-api-and-export-format-ingestion.md before mapping MS Project, Primavera, Jira, GitHub Projects, Smartsheet, monday.com, Asana, ClickUp, Azure DevOps, CSV, TSV, XLSX, JSON, PDF, or image exports.references/gantt-data-contracts-and-integrations.md when defining adapters, normalized schemas, source provenance, sync, or product API contracts.references/gantt-performance-and-rendering.md before choosing SVG, Canvas, hybrid rendering, virtualization, or enterprise libraries for large schedules.references/gantt-accessibility-export-and-testing.md for keyboard navigation, screen-reader fallbacks, export, fixtures, and release gates.../../references/foundations/mobile-first-responsive-visualization.mdExpert startup business analyst specializing in market sizing, financial modeling, competitive analysis, and strategic planning for early-stage companies. Use PROACTIVELY when the user asks about market opportunity, TAM/SAM/SOM, financial projections, unit economics, competitive landscape, team planning, startup metrics, or business strategy for pre-seed through Series A startups.
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and publication figures (scientific-visualization). Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g. "analyze my RNA-seq", "FASTQ to DESeq2", "run nf-core/rnaseq", "STAR/Salmon quantification", "build a counts matrix for DESeq2", or "go from reads to differentially expressed genes and enriched pathways". Routes between an nf-core/rnaseq (Nextflow) path and a standalone STAR/Salmon path, and covers experimental design, strandedness, and QC gates. For single-cell RNA-seq use the scanpy skill instead.
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Google Workflow: Today's meetings + open tasks as a standup summary.
Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.
Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Output is always a standalone .svg file.
Initialize the productivity system and open the dashboard. Use when setting up the plugin for the first time, bootstrapping working memory from your existing task list, or decoding the shorthand (nicknames, acronyms, project codenames) you use in your todos.
Take openai/gantt-chart-visualization from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.