Results for “sync”
12 skills
24601 Surreal Sync
Migrates data from MongoDB, PostgreSQL, MySQL, Neo4j, Kafka, and JSONL into SurrealDB with full and incremental CDC synchronization.
34
sakamoto-family-smile Knowledge Ops
Manages a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.
0
oyi77 Hive Mind
Syncs key-value preferences and state across multiple agents using a shared TiDB Zero database, with optional auto-provisioning of a free ephemeral database.
10
promisingcoder Slacrawl
Slack archive: search, sync freshness, threads/DMs, SQL counts, and Slacrawl repo work.
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promisingcoder Graincrawl
Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.
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promisingcoder Notcrawl
Notion archive: search, sync freshness, pages/databases, Markdown exports, SQL counts, and Notcrawl repo work.
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microsoft Azure Storage Queue Py
Send, receive, and manage messages in Azure Queue Storage using Python with sync and async clients.
2.7k
saranskumar Integration Planner
Use when a product needs third-party integrations such as payments, email, analytics, AI providers, storage, or internal services. Trigger on requests to plan integration boundaries, provider selection, failure handling, or sync strategies.
0
24601 Surrealkit
Manages SurrealDB schemas as desired-state .surql files, with sync for disposable databases and reviewed rollouts for shared or production environments, plus seeding and declarative testing.
34
zero-yx Staticflow CLI Publisher
Publishes Markdown articles and images into LanceDB via the sf-cli tool, syncs notes, infers missing metadata, and verifies results with local API checks.
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shan2l Torchprofiler Trace Analysis
Analyze PyTorch profiler and vLLM trace files with Perfetto SQL evidence. Use when working with torch profiler traces, merged_trace files, vLLM profiling logs, Perfetto trace analysis, GPU kernel hotspots, synchronization waits, rank imbalance, prefill/decode bottlenecks, or optimization reports.
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matlab Matlab Import Driving Data
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-use-scenario-builder.
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