MCP servers and skills: search, filter by where they run, and compare.
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Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how
OfficialSkillMIT★ 40k in collectionNo key
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixe
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Durable, searchable memory of your past agent sessions.
OfficialSkillApache-2.0★ 580No key
Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.
OfficialSkillMIT★ 40k in collectionNo key
Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn
OfficialSkillMIT★ 5.4k in collectionNo key
Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or
OfficialSkillMIT★ 40k in collectionNo key
Use when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing impact, auditing dead or complex code, or han
OfficialSkillMIT★ 40k in collectionNo key
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session whe
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. Use for activation memory OOMs or regressions involving recompute_g
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use when a native app, service, or user-mode driver host allocation fails; distinguish VA exhaustion, fragmentation, and commit pressure. Not for managed .NET heap growth, proving a leak from one snap
OfficialSkillMIT★ 469 in collectionNo key
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of you
OfficialSkillMIT★ 40k in collectionNo key
INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it
OfficialSkillMIT★ 1.3k in collectionNo key
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Adopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are
OfficialSkillMIT★ 40k in collectionNo key
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into th
OfficialSkillMIT★ 40k in collectionNo key
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was f
OfficialSkillMIT★ 40k in collectionNo key
Use this skill for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation. Covers picking GPI vs
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Operate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX
OfficialSkillApache-2.0★ 3.6k in collectionNo key
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