Packs
8 packs@thedotmack
Claude Mem
Memory, search and workflow skills from thedotmack/claude-mem.
19 skills · pack
@memento-teams
Builtin
Builtin skills from Memento-Teams/Memento-Skills.
8 skills · pack
@micsapp
Plugin
Persistent memory system for Claude Code - seamlessly preserve context across sessions
5 skills · pack
curated
C/C++ Debugging
For C/C++ developers needing debugging tools, memory analysis, and GDB integration.
8 skills · pack
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · pack
@juliusbrussee
Caveman
Token-compression suite: compressed chat mode plus commit, review, help, stats, memory-compress and subagent-crew skills by Julius Brussee.
7 skills · pack
@micsapp
Arscontexta
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
Pwdev Code
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”
5 skillsrust-review
Audits Rust codebases for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes.
6k
analyzing-dotnet-performance
Scans C#/.NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification.
4k · bundle
More results
gh-review-requests
Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member.
845 · bundle
swiftui-performance-audit
Diagnose and fix SwiftUI performance issues like slow rendering, janky scrolling, and high CPU/memory usage through code review and profiling guidance.
3.8k · bundle
hpc-code-reviewer
Reviews CUDA, OpenMP, and OpenCL code for parallel correctness, covering data races, memory model violations, synchronization bugs, numerical precision issues, and API-specific pitfalls.
0