Packs

8 packs

Memory, search and workflow skills from thedotmack/claude-mem.

19 skills · pack

Builtin skills from Memento-Teams/Memento-Skills.

8 skills · pack

Persistent memory system for Claude Code - seamlessly preserve context across sessions

5 skills · pack

C/C++ Debugging

For C/C++ developers needing debugging tools, memory analysis, and GDB integration.

8 skills · pack

Build RAG Pipeline with Pinecone

Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.

6 skills · pack

Token-compression suite: compressed chat mode plus commit, review, help, stats, memory-compress and subagent-crew skills by Julius Brussee.

7 skills · pack

Conversational derivation engine — generate agent-native memory architecture from natural conversation. 15 kernel primitives, 26 commands, 17 feature blocks, 3 presets.

10 skills · pack

@pwdev-solucoes

Spec-driven development framework v2.3 — 8 real subagents (incl. advisor), per-task model routing, curated memory graph, opt-in parallel waves, external CLI delegation (Codex/OpenCode/Kimi/Gemini/Kiro), simplification pass, strict verify, audit hooks, 22 commands

2 skills · pack

Results for “mem”

7 skills

qdrant-memory-usage-optimization

Diagnoses and reduces Qdrant memory usage by analyzing resident memory, page cache, and providing optimization techniques like quantization, on-disk storage, and async_scorer.

Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.

qdrant-monitoring-debugging

Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.

More results

qdrant-performance-optimization

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

qdrant-minimize-latency

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

Syncs key-value preferences and state across multiple agents using a shared TiDB Zero database, with optional auto-provisioning of a free ephemeral database.

Write correct, efficient Kusto Query Language queries with coverage of syntax, joins, dynamic types, datetime pitfalls, regex, serialization, memory management, and advanced functions.