Skill UI

This skill provides comprehensive patterns for handling sensitive data when integrating with Mistral AI. It covers PII redaction (emails, phone numbers, etc.), implementing data retention policies, and enforcing compliance with global privacy regulations like GDPR and CCPA. Key features include safe API wrappers, dataset sanitization for fine-tuning, and conversation history management with TTL and user erasure rights.

A comprehensive toolkit for implementing production-grade observability in Obsidian plugins. It provides structured logging with log levels and history, a robust metrics collector (supporting counters, gauges, and timers for performance tracking), and an error tracker with deduplication. Users can build a real-time debug panel to monitor plugin performance, diagnose issues, and set up comprehensive error reporting.

A comprehensive architectural guide for building production-grade flowcharts using ReactFlow. This pattern set covers key challenges including hierarchical tree navigation (expandable/collapsible nodes), performance optimization via incremental rendering and memoization, and advanced state management using Redux-like reducer patterns with history tracking (undo/redo).

Build security ownership graphs from git history, compute bus factor and sensitive-code risk, and export artifacts for Neo4j/Gephi while supporting queries for orphaned sensitive code and ownership clusters.

This skill automatically generates structured and user-friendly changelogs by analyzing the complete git commit history. It groups commits by time period (daily/weekly) and classifies changes into key categories (Features, Fixes, Docs, etc.), providing a concise summary of recent development activity for end-users. Ideal for answering 'what changed recently' or summarizing project updates.

This skill automates the entire software release workflow within Windsurf. It analyzes commit history based on conventional commits to determine the correct semantic version bump (major, minor, or patch). It then automatically generates comprehensive changelogs, manages Git tags, updates version files, and publishes the final release package to a registry. It is essential for teams implementing robust CI/CD practices.

Provides access to USPTO PatentSearch, PEDS, TSDR, and related APIs for patent and trademark searches, examination history, assignments, citations, and litigation data, with helper scripts for Python-based IP research and portfolio insights.

This specialized AI acts as an auditor for Medical Devices (SaMD) compliance. It reviews critical documentation like Design History Files (DHF) and technical files against major global regulations, including 21 CFR Part 820, IEC 62304, and ISO 13485. It identifies compliance gaps, cites specific regulations, and provides actionable remediation steps to prepare for regulatory audits.

Allows users to resume an interrupted or paused autoresearch experiment. It automatically loads the full context, including configuration, strategy files, complete results history, and recent code changes. The system then summarizes the current best metrics and patterns, prompting the user to continue with a single iteration, set up an automated loop, or manually review the results.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

A comprehensive digital forensics technique used to investigate removable media usage. It parses artifacts from Windows registry (USBSTOR, MountedDevices), Event Logs, and SetupAPI logs to track which USB devices were connected, when they were used, and establishing a timeline for potential data exfiltration or insider threat activity.

This comprehensive forensic workflow guides investigators through the extraction and detailed analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, etc.). It is used during incident response to uncover critical artifacts, including user activity history, malware persistence mechanisms (autorun keys), installed software records, and evidence of system compromise.