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Found 141 Skills
Use this skill when working with the GitLab MCP server tools for merge requests, issues, repositories, pipelines, work items, variables, dependency proxy, vulnerabilities, webhooks, search, CI catalog, and related GitLab workflows.
QuickBooks Online MCP server providing 144 tools for CRUD operations on 29 entities and 11 financial reports via OAuth 2.0
Use ktx to build a self-improving context layer that teaches AI agents how to query data warehouses accurately with approved metrics, semantic layers, and business knowledge
MCP server plugin for Cocos Creator 3.8+ that enables AI assistants to control the editor through 50 powerful tools for scenes, nodes, components, prefabs, and assets.
Orthogonally-integrated Hegelian syntopical analysis for SAQ/VIVA/concept grounding with systematic textbook citations. Implements thesis extraction → antithesis identification → abductive synthesis across multiple authoritative sources. Tensor-integrated with /m command: activates S×T×L synergies (textbook-grounding × pdf-search × qmd = 0.95). Triggers on requests for model SAQ responses, VIVA preparation, concept explanations requiring textbook evidence, or any PEX exam content needing systematic cross-reference validation.
Context layer for data and analytics AI agents with semantic layer, skills, and memory via MCP
IDA Pro plugin that exposes static analysis capabilities via MCP HTTP server for reverse engineering workflows
Use FuzzingLabs MCP Security Hub to integrate offensive security tools (Nmap, Nuclei, SQLMap, Ghidra, etc.) with AI assistants via Docker-based MCP servers
Guide for creating MCP servers that enhance LLM reasoning through structured processes, persistence, and workflow guidance. Use when building MCP servers for structured thinking, journaling, memory systems, or other cognitive enhancement patterns.
MCP server for read-only Linux system diagnostics and troubleshooting on RHEL-based systems via SSH
JavaScript reverse engineering and browser debugging MCP server with anti-detection and agent-first tooling
Use when extracting entities and relationships, building ontologies, compressing large graphs, or analyzing knowledge structures - provides structural equivalence-based compression achieving 57-95% size reduction, k-bisimulation summarization, categorical quotient constructions, and metagraph hierarchical modeling with scale-invariant properties. Supports recursive refinement through graph topology metrics including |R|/|E| ratios and automorphism analysis.