Data & Analytics

ashutoshsrivastava17 Skill

Optimize warehouse operations — layout design, pick/pack/ship workflows, inventory accuracy, labor planning, WMS evaluation, and KPI tracking. TRIGGER when: user says /warehouse-operations or asks about warehouse optimization.

ashutoshsrivastava17 Skill

Analyze enterprise search behavior including query analysis, zero-result queries, click-through rates, search refinement patterns, and relevance tuning recommendations to continuously improve search quality. TRIGGER when: user says /search-analytics, "analyze search logs", "search performance", "zero result queries", "search relevance", "why can't people find things", or "improve search quality".

ashutoshsrivastava17 Skill

Design knowledge bases — information architecture, article templates, categorization, search optimization, maintenance, and analytics. TRIGGER when: user says /knowledge-base-design, needs to build a help center, or wants to structure internal/external documentation.

ashutoshsrivastava17 Skill

Choose, design, and review local data storage in mobile apps — key-value stores, SQL databases, NoSQL, file storage, secure storage, and sync strategies across Flutter (Hive, Isar, Drift, SharedPreferences), Android (Room, DataStore, SharedPreferences), and iOS (Core Data, SwiftData, UserDefaults, Keychain). TRIGGER when: user says /mobile-data-persistence, asks about local storage in a mobile app, needs to choose a persistence solution, or wants to review data layer design.

ashutoshsrivastava17 Skill

Design product analytics — event taxonomy, tracking plan, metric definitions, dashboard requirements, and insight workflows. TRIGGER when: user says /product-analytics or asks about product instrumentation and usage tracking.

kunanonj Skill

PostgreSQL database specialist for query optimization, schema design, security, and performance. Use PROACTIVELY when writing SQL, creating migrations, designing schemas, or troubleshooting database performance. Incorporates Supabase best practices.

kunanonj Skill

Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how

kunanonj Skill

Bulk-create Canva designs from tabular data using a brand template with autofill fields, producing one design per row. Use when users say \"bulk create designs from this CSV\", \"generate one design per row\", \"create a design for each product\", \"batch generate from a template\", or \"autofill a template from a spreadsheet\". Accepts any tabular data source — uploaded files, pasted tables, JSON

fridrichmethod Skill

Geospatial vector analysis extending pandas. Read/write spatial formats (Shapefile, GeoJSON, GeoPackage, Parquet, PostGIS), CRS handling, geometric ops (buffer, simplify, centroid, affine), spatial analysis (joins, overlays, dissolve, clipping, distance), visualization (choropleth, interactive maps, basemaps). Use for spatial joins, overlays, CRS transforms, area/distance, maps.

fridrichmethod Bundle

Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets.

paperclipai Skill

Create, read, analyze, edit, and validate Excel spreadsheets with zero format loss

paperclipai Skill

Generate SQL queries from natural language descriptions

paperclipai Skill

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script)

paperclipai Skill

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights

dingxingdi Bundle

Skill: source retrieval

dingxingdi Bundle

Skill: schema item grounding

dingxingdi Bundle

Skill: sql dialect adaptation

dingxingdi Bundle

Skill: multi-hop join reasoning

dingxingdi Bundle

Trigger this skill when the user provides broken or logically incorrect SQL requiring clause-level diagnosis and repair. It is essential when a query results in a syntax crash, row inflation (unwanted duplicates), or semantic nulls (correct syntax but no data returned). Layman triggers include requests like 'fix this query', 'why is my code returning nothing?', 'this script has an error on line 5', or 'adjust the WHERE clause to match the question better'. Use this to target specific parts of a query like the SELECT, WHERE, or JOIN clauses for fine-grained localized correction.

dingxingdi Bundle

Skill: geospatial rule grounding

dingxingdi Bundle

Use this skill when the user wants SQL tasks where time is the main source of difficulty, including colloquial shift-based time references. Trigger it for requests like “make it about first vs last”, “events that happened before the night shift”, “test recency and ordering”, or “during the lunch hour bounds.”

dingxingdi Bundle

Skill: textual attribute grounding

dingxingdi Bundle

Use this skill when the user wants bug-fix data for normal repository issues where the answer should come from reading an issue, navigating unfamiliar codebases, editing code, and running tests. Trigger it for requests like 'fix the NaN loss in my ML training script', 'solve issues in a massive codebase', 'fix this data race', 'debug my SQL query', or 'resolve this executable failure'. It covers standard software environments, database architectures, and systems infrastructures, emphasizing the fix-test-verify loop.

dingxingdi Bundle

Use this skill when the user's request appears to be impossible to answer based on the current database schema, contains high levels of ambiguity, or asks for information simply not stored in the database. Trigger it for requests like 'is this even in the data?', 'can the database answer this?', 'check if any table has this info', or 'tell me if the question is too vague'. It is essential for statements like 'What is the 3D structure of the gene?' (when the DB only has names) or 'Why does this gene cause cancer?' (when the DB stores relational facts, not explanations).

dingxingdi Bundle

Skill: multilingual schema grounding

dingxingdi Bundle

Use this skill when the user wants to populate or enrich an existing relational database using information extracted from raw text documents. Trigger it for requests like 'extract information from these news reports into my SQL database', 'add new rows to the movies table based on this biography', 'fill in missing data in my table using the provided text', or 'create new columns from the attached articles'. This skill is specifically for tasks that require the agent to understand a database schema and ensure that data extracted from unstructured sources follows formatting, granularity, and integrity constraints.

ashutoshsrivastava17 Skill

Analyze a dataset to find patterns, generate summary statistics, detect anomalies, and produce actionable insights. TRIGGER when: user asks to "analyze data", "find patterns", "summarize dataset", "generate statistics", "what does this data show", "insights from data", "data analysis", or provides a CSV/DataFrame for review.

ashutoshsrivastava17 Skill

Write, optimize, and explain SQL queries for data extraction, transformation, and analysis. TRIGGER when: user asks to "write SQL", "SQL query", "optimize query", "explain this query", "SELECT", "JOIN", "GROUP BY", "window function", "CTE", "subquery", or any SQL-related request.

ashutoshsrivastava17 Skill

Design data models using dimensional modeling (star/snowflake schemas), entity-relationship diagrams, naming conventions, slowly changing dimensions, and comprehensive documentation standards. TRIGGER when: user says /data-modeling, "design data model", "star schema", "snowflake schema", "dimensional model", "entity relationship", "ERD", "data warehouse design", or "fact and dimension tables".

ashutoshsrivastava17 Skill

Define KPIs with structured methodology: metric selection, leading vs lagging indicators, target setting, measurement methodology, data sources, and governance frameworks for consistent organizational alignment. TRIGGER when: user says /kpi-definition, "define KPIs", "key performance indicators", "metric selection", "set targets", "measurement framework", "KPI governance", or "what should we measure".

ashutoshsrivastava17 Skill

Conduct cohort analysis — cohort definition, retention curves, behavioral comparison, lifecycle tracking, and actionable segment insights. TRIGGER when: user says /cohort-analysis, wants to analyze user cohorts, needs retention analysis, or asks about behavioral trends over time.

ashutoshsrivastava17 Skill

Analyze conversion funnels with stage definition, drop-off identification, segment comparison, cohort tracking, and data-driven optimization recommendations to improve conversion rates. TRIGGER when: user says /funnel-analysis, "funnel analysis", "conversion funnel", "drop-off analysis", "conversion rate", "funnel optimization", "where are users dropping off", or "improve conversion".

ashutoshsrivastava17 Skill

Design effective dashboards with audience analysis, metric hierarchy, layout principles, visualization selection, interactivity patterns, and refresh cadence for clear data communication. TRIGGER when: user says /dashboard-design, "design a dashboard", "build a dashboard", "dashboard layout", "data visualization dashboard", "reporting dashboard", "executive dashboard", or "operational dashboard".

ashutoshsrivastava17 Skill

Extract and document context from a data source including schema, relationships, business rules, and metadata. TRIGGER when: user asks to "extract schema", "document data model", "understand this database", "reverse engineer schema", "data dictionary", "document relationships", "what tables are in this database", or provides a database connection or SQL dump for review.

sethdford Skill

Integrate data across systems using ETL, CDC, event streaming, and API patterns. Design robust, maintainable data integrations. Use when connecting disparate data sources or microservices.

ur-grue Bundle

Generates 4–5 title variants for A/B testing — each on a different click-psychology principle, with a rationale and a test hypothesis.