Data & Analytics

casemark Skill

Deconstructs SaaS operating metrics including ARR, NRR, gross retention, magic number, rule of 40, and cohort economics. Use when analyzing SaaS businesses, benchmarking software metrics, or evaluating subscription model health.

casemark Skill

Structures industrial real estate analysis with logistics market assessment and tenant credit evaluation. Use when analyzing industrial properties, evaluating warehouse investments, or assessing logistics demand.

casemark Skill

Structures population health analysis with risk stratification and care gap identification. Use when analyzing population health, stratifying patient risk, or identifying care gaps.

casemark Skill

Evaluates and deploys clinical predictive models with validation, bias assessment, and monitoring. Use when evaluating prediction models, assessing algorithmic bias, or deploying clinical ML.

casemark Skill

Deconstructs customer cohort behavior with retention curves, LTV progression, and vintage-over-vintage comparison analysis. Use when analyzing cohort data, assessing customer quality, or modeling lifetime value trajectories.

casemark Skill

Structures systematic strategy performance reporting with factor exposure, attribution, and risk analytics for investor communication. Use when preparing quant reports, documenting strategy performance, or presenting systematic strategy results.

casemark Skill

Structures warehouse lending for securitization programs with advance rates, eligibility criteria, and ramp-up analysis. Use when managing warehouse lines, structuring ramp facilities, or analyzing warehouse economics.

vimalinx Bundle

Use when you need to summarize tabular data by grouping rows on common column values and applying aggregation operations (sum, count, mean, etc.), similar to SQL GROUP BY.

vimalinx Skill

Use when joint-genotyping one or more germline gVCFs into a cohort VCF with GATK GenotypeGVCFs.

aibot88 Bundle

Analyse, author, review, generate, and extract context for FMEA and FMECA documents for asset-intensive organisations. Use this skill whenever the user mentions FMEA, FMECA, failure mode, failure effects, failure analysis, criticality analysis, RPN, risk priority number, severity-occurrence-detection scoring, functional failure, failure cause analysis, or maintenance strategy development based on failure analysis. Also trigger when the user uploads a spreadsheet or document that appears to contain failure mode data, or asks about reliability-centred maintenance (RCM) failure analysis steps, or wants to develop maintenance tasks from equipment failure behaviour. Also trigger when users ask about equipment functions, functional failures, failure consequences, or hidden vs evident failures. Also trigger when the user asks to parse, extract, or read a technical document (OEM manual, maintenance plan, asset register, BOM, P&ID, inspection report, condition assessment) for FMECA context, or asks to build a context

aibot88 Bundle

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

aibot88 Bundle

Database specialist for SQL, NoSQL, and vector database modeling, schema design, normalization, indexing, transactions, integrity, concurrency control, backup, capacity planning, data standards, anti-pattern review, and compliance-aware database design. Use for database, schema, ERD, table design, document model, vector index design, RAG retrieval architecture, migration, query tuning, glossary, capacity estimation, backup strategy, database anti-pattern remediation work, and ISO 27001, ISO 27002, or ISO 22301-aware database recommendations.

aibot88 Bundle

Crawl and scraping systems architecture — distributed crawler topology, URL frontier, politeness, and compliance. Architecture-only (no execution code). Don't use for single-page scraping (Navigator) or ETL pipelines (Stream).

aibot88 Bundle

SQLite - embedded database, SQL queries, schema design, Python integration, optimization

aibot88 Bundle

Open and operate the local DB Craft visual schema studio at D:\DBdesigner. Use it to design or edit MySQL 8, PostgreSQL 14, SQLite, and MSSQL models, generate tables with AI, import CREATE TABLE scripts, validate schema structure, save workspace models, export SQL, and prepare migration-ready artifacts for a separate deployment workflow.

aibot88 Bundle

SQL Injection detection across all variants — classic, blind, time-based, second-order, and UNION-based

aibot88 Bundle

Build with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Crypto News, AgenticOS Twitter agents, and Solidity LLM. Use when building blockchain apps, Web3 chatbots, NFT tools, smart contract tools, crypto news feeds, AI agents, or integrating any ChainGPT API. Triggers: chaingpt, web3 ai, nft generator, smart contract audit, crypto news api, agenticos, solidity llm, cgpt, blockchain ai, token analytics.

aibot88 Bundle

Kailash DataFlow - zero-config database framework with automatic model-to-node generation. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', or 'TDD with databases'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations.

aibot88 Bundle

Manages OrchestKit learning system including feedback status, usage pattern tracking, and privacy/analytics consent. Supports pause/resume learning, data export, privacy policy display, and bug reporting. Tracks learned patterns and agent performance metrics. Use when reviewing learned patterns, pausing learning, or managing data consent.

aibot88 Bundle

Recettix : compétence de recette et validation des livrables d'une application métier TypeScript. Couvre : Plan de Recette contractuel, critères d'acceptance Gherkin, jeux de tests (unitaires Vitest, intégration, E2E Playwright, performance Lighthouse CI, sécurité OWASP, accessibilité WCAG), conduite de campagnes UAT, Procès-Verbal de Recette (PVR) et Rapport de Validation Finale (RVF) opposables. Déclencher dès qu'une question touche à : recette, PVR, RVF, validation client, critères d'acceptance, UAT, couverture de tests, anomalie bloquante, levée de réserve, bon de livraison, "définition of Done", "plan de recette", "rapport de recette", "Recettix". Lit la note de cadrage et la SFD depuis Google Drive. Produit les livrables (.docx, .xlsx) via present_files.

aibot88 Bundle

Adds Excel Online (Business) connector to a Power Apps code app. Use when reading or writing Excel workbook data from OneDrive or SharePoint.

aibot88 Bundle

Queries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model delegation trends. Privacy-safe with hashed project IDs. Supports time-range filtering and comparative analysis. Use when reviewing performance, estimating costs, or understanding usage patterns.

aibot88 Bundle

dart-query batch operations - execute_dartql (recommended), batch update/delete, DartQL SQL-92 syntax, CSV import, safety protocols. 批量操作：execute_dartql（推薦）、批量更刪、DartQL語法、CSV導入、安全協議. Use when: bulk update tasks, batch delete, run DartQL query, import tasks from CSV, execute dartql statement, batch status change

aibot88 Bundle

GreyCat C API and GCL Standard Library reference. Use for: (1) Native C development with gc_machine_t context, tensors, objects, memory management, HTTP, crypto, I/O; (2) GCL Standard Library modules - std::core (Date/Time/Tuple/geospatial types), std::runtime (Scheduler/Task/Logger/User/Security/System/OpenAPI/MCP), std::io (CSV/JSON/XML/HTTP/Email/FileWalker), std::util (Queue/Stack/SlidingWindow/Gaussian/Histogram/Quantizers/Random/Plot). Keywords: GreyCat, GCL, native functions, tensors, task automation, scheduler.

aibot88 Bundle

Configure and manage Learning Management System operations including courses, enrollments, compliance training, and learning analytics

aibot88 Bundle

Odoo 17 development reference for Python models and ORM (search, domain, read_group, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups), cron and server actions, migrations and module upgrades, tests, i18n, and performance. Use this skill whenever work involves Odoo 17 or custom addons—even if the user only pastes a traceback, mentions addons/ or __manifest__.py, describes form/tree/kanban/XML errors, HTTP controllers, or business rules on models—including building features, fixing bugs, refactoring, or reviewing addon code.

aibot88 Bundle

Odoo 18 development reference for Python models and ORM (search, domain, read_group, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups), cron and server actions, migrations and module upgrades, tests, i18n, and performance. Use this skill whenever work involves Odoo 18 or custom addons—even if the user only pastes a traceback, mentions addons/ or __manifest__.py, describes form/list/kanban/XML errors, HTTP controllers, or business rules on models—including building features, fixing bugs, refactoring, or reviewing addon code.

aibot88 Bundle

Detect SQL injection vulnerabilities in a codebase using a three-phase approach: recon (find unsafe SQL construction sites), batched verify (trace user input to those sites in parallel subagents, 3 sites each), and merge (consolidate batch results). Covers string concat, f-strings, unsafe ORM methods, and dynamic identifiers. Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/sqli-results.md. Use when asked to find SQLi or database injection bugs.

aibot88 Bundle

Relational-DB wrapper for scientific Python — `SQLite3` and `PostgreSQL` classes composed from a dozen shared mixins (connection, transaction, query, schema, index, row/batch ops, import/export, backup, blob, maintenance) with first-class numpy `ndarray` BLOB storage, health checks, duplicate removal, and schema inspection. Public API (5 symbols) — `SQLite3(db_path, ...)` (unified SQLite client with `.execute(sql, params)`, pandas `.to_df(table)`, `.save_array(name, arr)` / `.load_array(name)` for compressed-ndarray BLOBs, `.check_health()`, `.inspect()`, context-manager transactions), `PostgreSQL(dsn, ...)` (same surface for Postgres), `delete_duplicates(conn, table, columns=None)` (dedupe rows by column subset), `delete_sqlite3_duplicates(db_path, ...)` (SQLite-specific convenience), `inspect(db)` (dump schema + row counts + index summary). CLI — `scitex-db inspect <db>`, `scitex-db health <db>`. No MCP tools. Drop-in replacement for hand-rolled `sqlite3.connect(...)` wrappers, `psycopg2` boilerplate, stori

aibot88 Bundle

Guidelines for developing with Sequelize, a promise-based Node.js ORM supporting PostgreSQL, MySQL, MariaDB, SQLite, and SQL Server

aibot88 Bundle

Use when the user wants to inspect company or customer data that lives behind Velen, resolve org or source context, validate or execute ad hoc read-only SQL against a Velen-connected source, or inspect published insights. Do not use for local databases, direct credentials, or write operations that bypass Velen access controls.

aibot88 Bundle

Use when writing raw SQL queries with GRDB, complex joins, ValueObservation for reactive queries, DatabaseMigrator patterns, query profiling under performance pressure, or dropping down from SQLiteData for performance - direct SQLite access for iOS/macOS

aibot88 Bundle

Ad hoc SQL analytics on local parquet, CSV, Excel, JSON, Avro, or SQLite files — auto-triggers on data analysis requests

aibot88 Bundle

Audit backend code for SQL safety, error handling, auth coverage, PII exposure, dead code, TODO density

aibot88 Bundle

Create, edit, audit, and extract Excel spreadsheets (.xlsx): generate reports/exports, apply formulas/formatting/charts/data validation, parse existing workbooks, and avoid spreadsheet risks (formula injection, broken links, hidden rows). Supports ExcelJS, openpyxl, pandas, XlsxWriter, and SheetJS.

aibot88 Bundle

Use when the user wants Google Search Console data pulled directly into the session instead of manually screenshotting / CSV-exporting from search.google.com. Pulls top queries, top pages, coverage status, manual actions, security issues, and Core Web Vitals field data via the GSC API in one call. Triggers from "pull GSC data for example.com", "Search Console deep dive", "GSC queries last 90 days", "GSC coverage report", "GSC indexing status", "GSC manual actions check", "GSC Core Web Vitals field data". Removes the manual GSC click-through that is the friction point of every recovery / audit session.