Anthropic Skills

FenokValue v9.6.4 - Korea Discount Reason Code fix. Critical bug fixes. Data contract validation. Global Scouter v2.2.0 integration.

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Aggregate-only summarizer for K18 QC artifacts; produces summary outputs and appends manifest rows when format is confirmed.

Optimizes Grafana Jsonnet dashboard content for observability and SRE best practices (RED/USE/Golden Signals). Use when auditing dashboard quality, improving monitoring effectiveness, enhancing diagnostic capabilities, or reviewing observability coverage. Focuses on content-level improvements without code structure refactoring.

Extracts structured, chart-ready JSON data from medical analysis for visualization, including diagnoses, timeline, prognosis, and supplement schedules.

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Analyze datasets using pandas, generate reports, and create visualizations

Analyzes business metrics, KPIs, revenue, and growth patterns for BookInk. Use for cohort analysis, unit economics, investor reporting, and data-driven decisions. Triggers on "business metrics", "KPIs", "revenue analysis", "cohort".

Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.

Aggregate and merge data from multiple sources including App Store sales, GitHub commits, Skillz events, and more. Use when combining data for reports, dashboards, or analysis.

Create concise executive summaries from detailed analysis. Use when preparing board decks, executive briefings, or condensing complex analysis into decision-ready formats.

テスト結果報告書を作成する。テスト完了後の結果報告、品質レビュー時に使う。

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Use when calling APEX MCP tools (apex_patterns_lookup, apex_patterns_overview, apex_task_create, apex_reflect, etc.) for pattern intelligence, task tracking, or submitting reflections. Reference guide for all 13 MCP tools with schemas, trust score interpretation (★ ratings), workflow integration, and common error fixes.

Activate when user needs custom Google Ads data analysis, advanced reporting, or specific metric queries. Provides GAQL query building and execution guidance.

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Autonomously audit business and financial performance weekly. Analyzes revenue, expenses, completed tasks, bottlenecks, and generates executive briefing with proactive suggestions. Use when generating weekly report, business audit, or when user mentions "briefing", "ceo report", "performance summary", "weekly audit", "business review".

SQL query review and validation for correctness, performance, and best practices. Use when reviewing queries for logical errors, optimizing query performance, checking for SQL anti-patterns, or validating business logic implementation in SQL.

Plan explainable AI (XAI) requirements including SHAP, LIME, attention visualization, and regulatory explainability needs.

Garante padrões consistentes para relatórios no Easy Budget (filtros, exportação, visualização).

Tracks financial transactions, categorizes expenses, monitors budgets, and audits subscriptions. Use when processing bank transactions, categorizing expenses, tracking revenue, or analyzing financial data.

Create reactive marimo notebooks for data analysis and visualization. Use when the user asks to create a marimo notebook, work with reactive notebooks, or build interactive data visualizations. User-invocable with /marimo command.

Explore Hive tables and datasets in the Wellcome Collection data warehouse. Use this skill to query tables, understand schemas, or analyze data distributions. Invoke with /data-explore.

Exploratory Data Analysis for tabular data. Use this skill when analyzing value distributions, checking for missing data, computing correlations, examining class balance, or generating data quality reports.

Generate the social value report from CSV inputs by detecting CSVs, anonymising them, and producing a month-by-month markdown report.

Use when performing meta-analysis, pooling study data, generating forest plots, funnel plots, assessing heterogeneity, or conducting subgroup and sensitivity analyses. Invoke for any statistical synthesis of multiple studies.

This skill should be used when the user asks "Chart.js plugin", "custom Chart.js plugin", "Chart.js plugin hooks", "Chart.js beforeDraw", "Chart.js afterDraw", "custom chart type", "extend Chart.js", "Chart.js API", "Chart.js update", "Chart.js destroy", "Chart.js methods", "Chart.js events", "Chart.js canvas", "Chart.js TypeScript", "custom scale", "Chart.js DatasetController", "Chart.js Scale", or needs help creating custom Chart.js v4.5.1 plugins, extensions, custom chart types, custom scales

Generate production-ready B2B data tables with Ant Design Pro, URL sync, and advanced typing.

Generate comprehensive PySpark-based data quality validation tests for Databricks tables. Use when creating automated tests for data completeness, accuracy, consistency, and conformity, or when user mentions test generation, data validation, quality monitoring, or PySpark test frameworks.

Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.

Create tiered reports (micro/standard/comprehensive) based on task complexity. Tier 1 (200-500 words) for Level 1 tasks, Tier 2 (500-1500 words) for Level 2, Tier 3 (1500-5000 words) for Level 3 epics. Synthesizes agent outputs into concise, scannable reports without duplication. Uses density over volume, actionable over descriptive. Triggers ONLY after multi-agent completion (2+ agents) or complex investigations. NOT for single-agent trivial tasks.

Interactive data exploration and visualization skill. Use when users ask to visualize data, analyze datasets, create charts, or explore data files (CSV, Excel, Parquet, JSON). This skill guides through data exploration, proposes visualization strategies based on data characteristics, creates interactive Plotly charts in marimo notebooks, and generates analytical conclusions.

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Automated QA testing for Radulator's 18 medical calculators across radiology, hepatology/liver, and urology specialties. Tests accuracy, collects browser diagnostics, generates Playwright tests, and manages three-branch Git workflow (dev1→test1→main). Use when testing Radulator calculators, reviewing PRs with qa label, verifying medical formulas, generating test reports, or creating comprehensive test suites.

Specialized assistant for working with Jupyter notebooks (.ipynb files). Use for analyzing, editing, debugging, or executing code in notebooks. Helps with data analysis, machine learning, deep learning, data visualization, and scientific computing workflows. Can read notebook contents, modify cells, execute Python code in the kernel, add documentation, and troubleshoot errors.

This skill should be used when creating or modifying frontend dashboard components in the ClaudeCode Sentiment Monitor project. Specifically trigger this skill for tasks involving React 19 components, Next.js 15 App Router pages, shadcn/ui components, Recharts visualizations, SWR data fetching, or Tailwind CSS styling.

Generates professional technical reports from performance analysis data. Creates investor and client-ready documents with executive summaries, visualizations, and actionable recommendations.

Executes structured, factual research runs across any domain (e.g., algorithms, competitors, AI models, audience behavior). Creates timestamped, reproducible artifacts with inline citations, confidence scoring, and adaptive freshness control.

Drive quantitative analysis, factor diagnostics, and reporting for ATFT-GAT-FAN outputs.