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Found 1,484 Skills
Senior Data Security Architect & Forensic Auditor for 2026. Specialized in Row Level Security (RLS) enforcement, Zero-Trust database architecture, and automated data access auditing. Expert in neutralizing unauthorized access in Convex, Supabase, and Postgres environments through strict policy validation, JIT (Just-in-Time) access controls, and forensic trace analysis.
Application security covering threat modeling (STRIDE), OWASP Top 10 (2025), OWASP API Security Top 10 (2023), secure coding review, authentication/authorization patterns, input validation, encryption, security headers, supply chain security, compliance (GDPR/HIPAA/SOC2/PCI-DSS), and security monitoring. Use when reviewing code for vulnerabilities, implementing auth patterns, securing APIs, configuring security headers, hardening supply chain, preventing injection attacks, or preparing for compliance audits.
Enterprise systematic code review orchestrator with TRUST 5 principles, multi-language support, Context7 integration, AI-powered quality checks, SOLID principle validation, security vulnerability detection, and maintainability analysis across 25+ programming languages; activates for code reviews, quality standard validation, TRUST 5 enforcement, architectural audits, and automated review automation
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
This skill should be used when the user asks to "validate a DataFrame with pandera", "write a pandera schema", "use pandera DataFrameModel", "add data validation to a pipeline", or needs guidance on pandera best practices for data quality.
Guides structured 4-stage experiment execution with attempt budgets and gate conditions: Stage 1 initial implementation (reproduce baseline), Stage 2 hyperparameter tuning, Stage 3 proposed method validation, Stage 4 ablation study. Integrates with evo-memory (load prior strategies, trigger IVE/ESE) and experiment-craft (5-step diagnostic on failure). Use when: user has a planned experiment, needs to reproduce baselines, organize experiment workflow, or systematically validate a method. Do NOT use for debugging a specific experiment failure (use experiment-craft) or designing which experiments to run (use paper-planning).
OmniStudio Integration Procedure creation and validation with 110-point scoring. Use when building server-side process orchestrations that combine Data Mapper actions, Apex Remote Actions, HTTP callouts, and conditional logic. TRIGGER when: user creates Integration Procedures, adds Data Mapper steps, configures Remote Actions, or reviews existing IP configurations. DO NOT TRIGGER when: building OmniScripts (use sf-industry-commoncore-omniscript), creating Data Mappers directly (use sf-industry-commoncore-datamapper), or analyzing cross-component dependencies (use sf-industry-commoncore-omnistudio-analyze).
Use to perform market backtests with PlausibleAI Backtester, including symbol discovery, strategy validation, strategy mining, and batch execution.
Implement Syncfusion Angular Uploader for single/multiple file uploads, async/chunk uploads, drag-and-drop, validation, templates, and form integration. Use this when building file upload UIs, handling server-side operations, progress tracking, or customizing file lists in Angular apps. Covers APIs, events, styling, accessibility, and localization.
Use this skill for Angular apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Comprehensive guide for building high-performance Solana programs using Pinocchio - the zero-dependency, zero-copy framework. Covers account validation, CPI patterns, optimization techniques, and migration from Anchor.
Build and deploy new Goldsky Turbo pipelines from scratch. Triggers on: 'build a pipeline', 'index X on Y chain', 'set up a pipeline', 'track transfers to postgres', or any request describing data to move from a chain/contract to a destination (postgres, clickhouse, kafka, s3, webhook). Covers the full workflow: requirements → dataset selection → YAML generation → validation → deploy. Not for debugging (use /turbo-doctor) or syntax lookups (use /turbo-pipelines).