Analytics
Data analysis and visualization
dashboard-build
by mckinsey
A skill that should be invoked whenever a user wants to build a Dashboard or simple app. This skill is Phase 2 of an e2e process that covers the actual build and testing. For Phase 1 (requirements, layout design, visualization selection), use the dashboard-design skill.
infographic-creator
by antvis
基于给定文字内容创建精美信息图。当用户请求创建信息图时使用。
review-rust-docs
by RediSearch
Review the documentation of a Rust crate to ensure it meets our requirements and standards. Use this when you have done changes to Rust code.
dart-architecture
by dartsim
"DART Architecture: the DART 7 multi-physics, multi-solver, multi-backend simulation pipeline and where each abstraction is owned"
dart-architecture
by dartsim
"DART Architecture: the DART 7 multi-physics, multi-solver, multi-backend simulation pipeline and where each abstraction is owned"
kimi-xlsx
by thvroyal
"Specialized utility for advanced manipulation, analysis, and creation of spreadsheet files, including (but not limited to) XLSX, XLSM, CSV formats. Core functionalities include formula deployment, complex formatting (including automatic currency formatting for financial tasks), data visualization, and mandatory post-processing recalculation. "
executive-dashboard-generator
by OneWave-AI
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
intent-signal-aggregator
by OneWave-AI
Monitor buyer intent signals across the web including job postings, tech changes, funding rounds, and leadership changes. Alerts when prospects show buying signals and prioritizes "hot" accounts. Use for timing-based prospecting.
swarm
by cursor
"Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration."
ascii-mini-charts
by partme-ai
Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal + annotated variants and normalization notes.
chat-export-report
by Innei
Use when user provides exported chat history (WeChat / Telegram / iMessage / QQ exports as .md / .txt / .json) and asks "我和 X 聊了啥"、"看完整个 md"、"细说 XX"、"是不是有 Y"、"what did I and X talk about", wants topical breakdown, requests detail on specific themes (relationships / work / health / events), or seeks honest interpretation of conversation dynamics. Triggers on large chat dumps (>1000 lines) where direct full read is impractical.
injury-report-tracker
by OneWave-AI
Monitor injury news across leagues. Fantasy impact analysis, backup player analysis, return timeline estimates.
setup-webhook
by VapiAI
Configure Vapi server URLs and webhooks to receive real-time call events, transcripts, tool calls, and end-of-call reports. Use when setting up webhook endpoints, building tool servers, or integrating Vapi events into your application.
developer-growth-analysis
by CoWork-OS
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
r-econometrics
by meleantonio
Run IV, DiD, and RDD analyses in R with proper diagnostics
check-links
by ballred
Find broken wiki-links in the vault. Read-only analysis — scans for [[links]] and verifies target files exist. No writes, no dependencies.
sap-sac-scripting
by secondsky
Comprehensive SAC scripting skill for SAP Analytics Cloud Analytics Designer and Optimized Story Experience. This skill should be used when the user asks to "create SAC script", "debug Analytics Designer", "optimize SAC performance", "planning operations in SAC", "filter data in SAC", "use DataSource API", "chart scripting", "table manipulation", "SAC event handlers", "version management", "data locking", or works with SAC widgets, planning models, or analytics applications.
sap-sac-custom-widget
by secondsky
SAP Analytics Cloud (SAC) Custom Widget development skill. Use when building custom visualizations, interactive components, extending SAC with Web Components, or creating Widget Add-Ons to customize built-in widgets. Covers JSON metadata configuration, JavaScript Web Components, lifecycle functions, data binding with feeds, styling panels, builder panels, property/event/method definitions, custom types, script API data types, third-party library integration, hosting options, security, performance optimization, and debugging. Includes Widget Add-On feature (QRC Q4 2023+) for extending built-in widgets without creating from scratch. Provides templates for basic widgets, data-bound charts, styling panels, and KPI cards. Supports Optimized Story Experience and Analytics Designer. Prevents common errors: missing lifecycle functions, incorrect JSON schema, integrity warnings, CORS failures, property type mismatches, data binding issues, and performance anti-patterns. Keywords: sap analytics cloud, sac custom widget, custom widget development, web component sac, json metadata widget, widget lifecycle functions, onCustomWidgetBeforeUpdate, onCustomWidgetAfterUpdate, onCustomWidgetResize, onCustomWidgetDestroy, sac data binding, widget data binding, dataBindings feeds, getDataBinding, getResultSet, styling panel widget, builder panel widget, widget properties events methods, propertiesChanged event, dispatchEvent custom widget, sac echarts integration, sac d3js integration, third party library sac, widget hosting sac, sac hosted widget, integrity hash widget, sha256 integrity, widget security cors, sac widget debugging, custom visualization sac, sac analytics designer widget, optimized story experience widget, sac widget api, widget add-on, sac script api widget, custom types enumeration, MemberInfo ResultMemberInfo Selection, widget installation admin, sac performance optimization, shadow dom web component, sac tooltip customization, plot area addon
sap-hana-ml
by secondsky
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
sap-hana-cloud-data-intelligence
by secondsky
Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
unit-test-generator
by JackyST0
Automatically generate unit tests based on source code, supporting multiple languages and testing frameworks.
executing-plans
by pedronauck
Use when you have a written implementation plan to execute in a separate session with review checkpoints
econ-visualization
by meleantonio
Create publication-quality charts and graphs for economics papers.
user-research-cookiy
by cookiy-ai
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study or survey, analyze interview data, run AI-moderated interviews, or collect survey responses. Covers the full lifecycle: planning studies, creating discussion guides, running AI-moderated interviews (real or synthetic) via Cookiy, designing and distributing surveys, and synthesizing results into reports.