Skill UI

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.

Tycana keeps task context across Claude conversations, capturing new work items, planning the day, tracking patterns, and offering energy-aware recommendations that deepen with each sync through MCP.

This tool generates comprehensive briefing documents for scheduled meetings. It integrates data from calendar systems, email history (up to 90 days and historical), professional networking sites (LinkedIn), and past interaction records (Granola). It provides context on attendees, relationship history, key discussion points, and critical action items to ensure users are fully prepared for every call, regardless of whether it's a first introduction or a follow-up.

RecallMax dramatically enhances AI agent memory capabilities by cleanly injecting massive external contexts (500K-1M tokens) without hallucination drift. It automatically summarizes lengthy conversations, preserving tone, intent, and key facts. Furthermore, it compresses multi-turn interaction histories into high-density token sequences, ensuring agents maintain perfect recall across complex and long-running sessions.

This skill monitors Todoist for tasks that are due or overdue and require follow-up (email, ping, etc.). It automatically drafts highly contextual emails by combining task descriptions, retrieved meeting transcripts (from Granola/Grain), and prior email history. Drafts are created directly in Gmail and the user is notified via WhatsApp, saving significant time on manual follow-ups and ensuring context-aware communication.

A comprehensive collection of six expert-level, structured workflows designed to elevate AI assistance from ad-hoc querying to repeatable, production-grade engineering practices. Users can evaluate prompts, design RAG architectures, plan context budgets, run security audits, build eval harnesses, and coach product strategy.

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.

This tool assists in defining a structured Security Operations Center (SOC) escalation matrix. It maps incident response procedures based on severity (P1-P4), asset criticality, and business impact. Users can model tiered response paths, set Service Level Agreements (SLAs), and implement context-driven automatic escalation triggers to ensure rapid and consistent handling of cybersecurity incidents.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

This comprehensive skill guides users through designing and executing advanced social engineering penetration tests. It covers simulating real-world attacks, including phishing (email), vishing (voice), smishing (SMS), and physical pretexting. The goal is to measure an organization's human security resilience, identify training gaps, and test security controls across multiple vectors using tools like GoPhish and SET.