Plugins

7 plugins

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

19 skills · plugin

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

5 skills · plugin

C/C++ Debugging

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

8 skills · plugin

Build RAG Pipeline with Pinecone

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

6 skills · plugin

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

7 skills · plugin

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

10 skills · plugin

@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 · plugin

Results for “memory”

4 skills

Scale pandas and NumPy workflows to larger-than-memory datasets using parallel and distributed computing.

30.2k · bundle

Process in-memory tabular data with a fast, expression-based DataFrame library that supports lazy evaluation, parallel execution, and Apache Arrow semantics.

More results

lucaspmarie-a11y

Process in-memory datasets with Polars' expression API, lazy evaluation, and parallel execution, including pandas migration patterns and I/O for CSV, Parquet, and JSON.

Provides a fast in-memory DataFrame library for datasets that fit in RAM, with lazy evaluation, parallel execution, and an Apache Arrow backend for ETL pipelines and analytics.