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Claude Skills by charlieviettq

github.com/charlieviettq
224 skillsA× 216B× 5D× 314 installs191 views
Product Analytics ExperimentsA

Product analytics and experimentation—event design, funnel metrics, tracking plans, and A/B test setup with statistical and operational gates. Use when defining metrics, launch experiments, or reviewing growth/DS product work. Triggers: "A/B test", "experiment", "funnel", "tracking plan", "product analytics".

data-ai
0
12
Product Offer DesignA

Package workflows and capabilities into clear product offers—audience, outcome, scope, and delivery format. Neutral framing without fixed pricing dogma. Triggers: "product offer", "package this", "what to sell", "positioning", "service productization".

data-ai
0
12
Ci Cd Quality GatesA

Design lightweight CI quality gates—lint, test tiers, security scans, and merge policies. Use when setting up or improving pipelines without tying to one stack only. Triggers: "CI", "quality gate", "pipeline", "GitHub Actions", "pre-merge checks".

data-aitestinggit
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12
Cross Platform Error HandlingA

Design consistent error handling across web, mobile, and React Native—central handlers, user-facing copy, retry, and logging. Triggers: "error handling", "error boundary", "toast", "React Native errors", "global handler".

developmentreactnextjs
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12
Dynamic Config ManagementA

Manage application configuration—schemas, validation, .env.example, placeholder detection, fail-fast startup. Use when adding env vars or centralizing config. Triggers: "config", "environment variables", ".env", "settings", "fail fast", "config schema".

developmentdebuggingapi
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12
Observability SloA

Lightweight observability and SLO practice—SLIs, SLO targets, error budgets, logs, metrics, traces, and alerting for apps and data pipelines. Use when defining monitoring, on-call alerts, or reliability targets. Triggers: "SLO", "SLI", "observability", "alerting", "error budget", "monitoring".

data-aiapi
0
12
Postmortem WritingA

Write blameless incident postmortems—timeline, impact, root cause, contributing factors, and actionable follow-ups. Use after outages, SEV incidents, or significant near-misses. Triggers: "postmortem", "incident review", "RCA", "blameless", "SEV".

developmenttesting
0
12
Serverless DebuggingA

Debug serverless and edge functions—limited logs, cold starts, timeouts, env/config mismatches. Use for Lambda, Cloud Functions, Workers, Vercel/Netlify functions. Triggers: "serverless", "Lambda", "edge function", "cold start", "function timeout".

developmentshelldebugging
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12
Shipping Launch ChecklistA

Pre-launch and rollout checklist—feature flags, thresholds, rollback, monitoring, and comms. Use before production releases or risky deploys. Triggers: "launch", "ship to prod", "rollout", "release checklist", "go live".

developmentgo
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12
Api Security TestingA

Security testing checklist for HTTP APIs—authn/z, input validation, rate limits, sensitive data exposure, and common OWASP API issues. Use when reviewing or testing REST/GraphQL endpoints before release. Triggers: "API security", "pen test API", "OWASP API", "auth test", "security test".

developmentsqltesting
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12
Secure Api DesignA

Design and implement secure APIs—authentication patterns, authorization models, input validation, secrets handling, and safe defaults. Use when designing new endpoints, auth flows, or reviewing API contracts. Triggers: "secure API", "auth design", "JWT", "OAuth", "API best practices".

developmenttestingapi
0
12
Skill Supply Chain AuditD

Audit third-party agent skills before install—metadata, triggers, scripts, network/exfil patterns, and overlap with existing skills. Use before importing skills from external catalogs or vendoring new SKILL.md files. Triggers: "audit skill", "import skill", "skill security", "third-party skill".

data-aishellbash
0
12
Data Viz Storytelling HealyA

Chọn đúng biểu đồ, kể chuyện với số liệu, và tránh误导 — dựa trên nguyên tắc từ Kieran Healy (Data Visualization, Princeton 2019) và taxonomy từ AntV chart-visualization-skills. Dùng khi cần quyết định loại chart, trình bày insight cho stakeholder, hoặc kiểm tra xem figure có gây hiểu lầm không. Để vẽ Python thực tế, chuyển sang matplotlib / seaborn / scientific-visualization.

data-aipythongo
0
12
InfographicsA

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

data-aipythongo
0
12
MatplotlibA

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

data-aipythongo
0
12
Scientific VisualizationA

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

data-aipythongo
0
12
SeabornA

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

data-aipythongo
0
12
VoltagentA

Cursor skills converted from VoltAgent awesome-claude-code-subagents (DS/ML/AI/ research, product, orchestration). Use when you want role-based playbooks aligned with data science and stakeholder workflows.

data-aigit
0
12
DocxA

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comment...

developmentjavascriptpython
0
12
PdfA

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

developmentjavascriptpython
0
12
PptxA

Create and edit PowerPoint presentations (.pptx)—slides, layouts, speaker notes, and export. Use when the deliverable is a deck for stakeholders, workshops, or model readouts. Complements docx/pdf/xlsx skills. Triggers: "PowerPoint", "pptx", "slides", "deck", "presentation".

data-aipython
0
12
Prose PolishA

Polish technical and stakeholder prose—clarity, tone, structure, and reducing generic AI-writing patterns. Use for blog posts, knowledge-base pages, READMEs, exec summaries, and user-facing copy before publish. Triggers: "edit prose", "polish writing", "sounds like AI", "copy edit", "tone".

developmentgo
0
12
Scientific WritingA

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

data-aipythongo
0
12
SympyA

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rath...

data-aipythongo
0
12