Skill UI

This skill provides advanced strategies to reduce operational costs associated with the Intercom API. It teaches best practices like replacing inefficient polling with real-time webhooks, implementing LRU caching for contact lookups, utilizing server-side search instead of list-and-filter methods, and batching requests. Use this when managing Intercom usage, optimizing infrastructure spending, or preventing rate limits and billing surprises.

Search 18 scholarly APIs for papers, preprints, citations, open-access full text, repository records, and journal OA status with reproducible provenance.

This skill manages comprehensive identity verification using the Persona API. It covers government ID checks (passport, driver's license), selfie liveness detection, and database lookups (SSN, watchlist). Use this when implementing Know Your Customer (KYC) workflows, reviewing detailed verification results, or building custom approval logic based on multi-source identity data.

A comprehensive playbook detailing advanced JNDI injection techniques. Covers the abuse of JNDI lookups via RMI and LDAP, focusing on critical vulnerabilities like Log4Shell (CVE-2021-44228), deserialization gadgets, and post-8u191 bypass methods. Essential for deep-dive security testing and vulnerability research.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

Assesses legal compliance and risk for temporary event staffing operations in the US and Canada. It checks critical areas including worker classification (W-2 vs 1099), joint-employer liability, wage/hour adherence, and workers' compensation requirements. Includes live state-by-state lookups for minimum wage and overtime rules.

Designed for complex troubleshooting in home or small-team environments. This meta-skill orchestrates the entire process, guiding users through symptom intake, environment capture, external knowledge lookup, and generating a safe, step-by-step, and reversible repair plan for issues involving networks, Docker, Git, printers, and more.

This meta-skill is designed to convert complex web research requests into polished, structured, and source-cited deliverables. Use it when you need a market briefing, technical report, or decision memo that requires deep web lookup and scholarly citation. It orchestrates the entire process, including preference inference, multi-source search, drafting, and optional DOCX export, ensuring the output is authoritative and actionable.

This skill provides comprehensive, read-only access to the pkg.go.dev API using the `godig` tool. It allows users to query detailed information about Go packages and modules, including full documentation, API signatures, available versions, dependency graphs, and known security vulnerabilities. It is essential for researching the external Go ecosystem and comparing library metadata.

This skill fetches the latest, live documentation and code examples for specific libraries and frameworks (e.g., Next.js, React, Prisma). Instead of relying on static or outdated training data, it utilizes the Context7 MCP to provide accurate, up-to-date answers for setup questions, API references, and code generation based on current best practices.

This skill maps clinical concept spans (disorders, anatomy, procedures, etc.) extracted by OpenMed to SNOMED CT concept IDs (SCTID). It performs complex, out-of-process terminology resolution using standard FHIR R4 endpoints ($lookup, $translate, ValueSet/$expand) against a user-supplied, licensed terminology server (e.g., Ontoserver, UTS). Ideal for generating rich, hierarchy-aware clinical codes, performing subsumption queries (ECL), or translating codes between clinical standards (like ICD-10 to SNOMED CT).

This skill facilitates the crucial grounding step for clinical coding by interacting with external FHIR terminology servers. It supports core operations such as `$validate-code`, `$expand` (for ValueSets), `$lookup`, and `$translate` (ConceptMaps). It ensures that raw text spans are converted into validated, coded `CodeableConcept` resources using industry standards like SNOMED CT, LOINC, and ICD-10, maintaining interoperability.