Skill UI

Enrich IOCs and profile threat actors from public sources with defined boundaries. Supports domain, IP, URL, hash, email, and wallet enrichment, plus impersonation and scam investigation. Includes X/Twitter data collection via Xquik, normalization, independent verification, and intelligence package handoff.

This skill specializes in threat modeling methodologies like STRIDE and PASTA for security architecture reviews and risk assessment. It helps identify attack vectors, prioritize security risks, and design mitigation strategies to build secure-by-design systems. Ideal for security audits and system design phases.

Direct advanced Three.js camera systems for scale-aware chase rigs, thrust lag, side/orbit cameras, body-relative up vectors, quaternion handoffs, authored cinematic framing, floating origins, pointer-look controls, camera collision constraints, projection ownership, and lifecycle restoration.

Sweep the googleapis/mcp-toolbox docs for broken and non-canonical links, report each finding with its cause, and apply the safe class of internal link fixes. CI does not check links on this repo, so this skill is the only link check that runs. Use when a maintainer asks for a link sweep or a docs health check, before a release, or after a docs reorg, page rename, or directory move. The skill edits the working tree and makes one commit. It never pushes, never opens a PR, and never rewrites external links or ambiguous targets.

This skill manages and stores approved team context securely using RuVector isolation. It ensures tenant-local data privacy by excluding sensitive credentials and personal information. During retrieval, it preserves provenance and treats data as untrusted. It prevents memory transfer between teams, maintaining strict security boundaries for AI team operations.

Detects which APIs of a Python project's pinned dependencies changed after a coding model's training cutoff, locates the code using them, and writes short evidence-tagged notes into AGENTS.md or CLAUDE.md.

Build coherent procedural scalar and vector fields for Three.js materials and geometry. This skill enables creating terrain, planets, biomes, and water masks by deriving multiple visual channels from shared causes. It emphasizes structured workflows, stable coordinates, and frequency bands to avoid visual soup.

This skill provides comprehensive guidance for the entire lifecycle of Conductor tracks—the logical work units used to organize features, bugs, and refactors. It assists users in creating, reviewing, updating specifications (spec.md), developing plans (plan.md), and managing the status and metadata of tasks from initial conception through final completion, ensuring structured and traceable development processes.

Train or fine-tune SentenceTransformer, CrossEncoder, and SparseEncoder models for retrieval, similarity, clustering, classification, reranking, and embedding tasks. This skill provides production-ready templates with proper loss functions, evaluators, and training configurations for various NLP tasks including bi-encoder, reranker, and sparse vector models.

Aggregates Uncle Bob’s Clean Code, Architecture, Coder, Agile, and design-pattern guidance to evaluate reviews, refactors, and architecture decisions, and to surface professionalism heuristics without replacing your linter or formatter.

Expert in vector databases, embedding strategies, and semantic search implementation. Proficient with tools like Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Optimizes index configuration, hybrid search, and performance tuning for scalable AI systems.

Deploy, configure, and optimize production vector databases such as Qdrant, Weaviate, pgvector, and Pinecone for RAG, semantic search, and recommendations, covering collection design, HNSW indexing, quantization, and multi-tenant filtering.