Results for “mem”

Write efficient C code with proper memory management, pointer arithmetic, and systems programming best practices.

Build and query AI-powered knowledge bases from claude-mem observations, enabling focused conversational sessions on specific topics.

Designs collaborative AI agent teams with CrewAI, covering agent roles, task decomposition, crew orchestration, process types, memory, and flows.

Write efficient C code with proper memory management, pointer safety, and POSIX compliance, including debugging and testing guidance.

Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.

Delivers measurement-driven performance optimization for latency, throughput, memory, and tail behavior, with correctness preservation and regression guards.

Applies physical principles to model biological systems, including protein folding, membrane transport, molecular forces, and neural signaling.

Generates creative launch blueprints for memecoins on pump.fun, including names, symbols, narratives, and buyback plans, with safety guardrails and mandatory disclaimers.

Write efficient C code with proper memory management, pointer handling, and POSIX compliance, including debugging and testing guidance.

Captures a read-only health snapshot from a Jetson device, reporting identity, memory, GPU, thermal, power, storage, services, and top processes.

Automate Ko Fi operations such as payments, memberships, and shop management through Composio's Ko Fi toolkit via Rube MCP.

Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.

Analyzes project memories to detect recurring conventions, rework, and pipeline patterns, then promotes validated patterns to the global CLAUDE.md configuration.

Manage Apple Notes from the terminal using the memo CLI: create, search, edit, delete, move, and export notes with iCloud sync.

Diagnoses WSL2 and Cursor/Claude performance issues on Windows, including memory, swap, disk, caches, and configuration, then recommends safe fixes.

Provides C programming guidance for systems programming, memory management, and performance, with best practices for writing safe and efficient code.

Quickly refreshes project state when resuming work by reporting git status, recent commits, environment, memory staleness, pending tasks, and red flags.

Manage Apple Notes from the terminal using the `memo` CLI: create, view, edit, delete, search, move, and export notes on macOS.

Provides C programming guidance for systems programming, covering memory management, pointer arithmetic, POSIX compliance, and debugging with valgrind and gdb.

Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations. Use when the user runs /si:status or asks how full or healthy the agent memory is.

Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.

Yuanbao (元宝) groups: @mention users, query info/members.

Optimizes code for performance - speed, memory, bundle size

Yuanbao (元宝) groups: @mention users, query info/members.

Yuanbao (元宝) groups: @mention users, query info/members.

Yuanbao (元宝) groups: @mention users, query info/members.

Yuanbao (元宝) groups: @mention users, query info/members.

Designs and orchestrates multi-agent AI teams using the CrewAI framework, covering agent roles, task decomposition, crew processes, memory, and flows.

Builds memory-safe, performant Lightning Web Components with correct lifecycle hook usage, covering build, review, and troubleshooting workflows.

Configure and troubleshoot Honcho memory for Hermes, including multi-profile peer isolation, observation settings, dialectic reasoning, session summaries, and context budget enforcement.

Coordinates multi-agent swarms with shared spatial memory, task management, conflict detection, and destination navigation via an Eywa room.

Python performance profiling with cProfile, tracemalloc, and line_profiler. Use for identifying bottlenecks and memory issues. USE WHEN: user mentions "Python profiling", "cProfile", "memory profiling", asks about "Python performance", "tracemalloc", "line_profiler", "py-spy", "Python optimization", "Python memory leak" DO NOT USE FOR: Java/Node.js profiling - use respective skills instead

Bypass the Windows Antimalware Scan Interface (AMSI) using memory patching, reflection, and obfuscation techniques. Execute undetected PowerShell, VBScript, JScript, and .NET assemblies in-memory without triggering Microsoft Defender or third-party AV/EDR solutions. Use this skill during Red Team engagements when loading offensive tools (Mimikatz, Rubeus, SharpHound) in memory on defended Windows endpoints.

Detects available CPU, GPU, memory, and disk resources and generates strategic recommendations for scientific computing tasks.

Routes tasks to specialized agent offices and applies behavioral science frameworks to every output, with confidence tagging and session memory.

Analyzes core dumps and live processes with GDB, correlating runtime state with source code to diagnose crashes, deadlocks, and memory issues.