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Found 32 Skills
Knowledge graph memory orchestration - entity extraction, query parsing, deduplication, and cross-reference boosting. Use when designing memory orchestration.
Integrate multiple plot point analysis results into a comprehensive report, and generate high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources and generating unified reports
Configure Prometheus Alertmanager with routing trees, receivers (Slack, PagerDuty, email), inhibition rules, silences, and notification templates for actionable incident alerting. Use when implementing proactive monitoring with automated incident detection, routing alerts to the appropriate team by severity, reducing alert fatigue through grouping and deduplication, integrating with on-call systems like PagerDuty, or migrating from legacy alerting to Prometheus-based alerting.
Implement Nostr client architecture including relay pool management, subscription lifecycle with EOSE/CLOSED handling, event deduplication, optimistic UI for publishing, and reconnection strategies. Use when building Nostr clients, managing WebSocket relay connections, handling subscription state machines, implementing event caches, or debugging relay communication issues like missed events or broken reconnections.
Set up @personize/signal — a smart notification engine that decides IF, WHAT, WHEN, and HOW to notify each person using Personize memory and governance. Guides you through connecting event sources, configuring delivery channels, setting up governance rules, and testing the decision engine. Use this skill whenever the user wants to build smart notifications, AI-powered alerts, notification fatigue prevention, daily/weekly digests, personalized messaging, or intelligent notification routing. Also trigger when they mention @personize/signal, notification scoring, quiet hours, deduplication, channel routing (email vs Slack vs in-app vs SMS), or want notifications that know when to stay silent.
Integrate Didit Face Search standalone API to perform 1:N facial search against all previously verified sessions. Use when the user wants to detect duplicate accounts, search for matching faces, check if a face already exists in the system, prevent duplicate registrations, search against blocklist, or implement facial deduplication using Didit. Returns ranked matches with similarity percentages.
Design webhook/event pipelines for Solana activity with idempotency, dedupe, retries, and ordering. Use when consuming RPC/webhook feeds.
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relationships.