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”

8 skills

exec-briefing-memo

Condenses complex materials into a one-page executive decision memo with recommendation, evidence, tradeoffs, and next actions.

Explains how claude-mem captures observations from Read, Edit, and Bash actions, when memory injection activates, and where data is stored locally.

timeline-report

Generates a comprehensive narrative report analyzing a project's entire development history from claude-mem's persistent memory timeline.

More results

project-skill-audit

Analyze a project's past sessions, memory files, and existing local skills to recommend the highest-value skills to create or update.

Generate a serial, multi-chapter narrative digest of a project's claude-mem history, producing one digest per ISO week with coherent story flow across chapters.

Reconciles project documentation, agent memory, and rule files against the actual codebase after a development session, ensuring accuracy and consistency across all knowledge layers.

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.

Manages a long-term Markdown knowledge base for software projects, capturing architecture, decisions, and conventions in `.lore/` with commands to init, sync, query, audit, compress, and mirror to platform files.