Results for “memo”

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

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.

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 Mem0 memory operations through Composio's Mem0 toolkit via Rube MCP, with dynamic tool discovery and connection management.

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

Persists context across sessions by compiling sources into a local SQLite store and markdown tree, then retrieves relevant memory via embedding search.

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

Estimates memory requirements for running Hugging Face models, including optional KV cache, using HTTP range requests without downloading weights.

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.

Optimizes code for performance - speed, memory, bundle size

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.

Build AI agents, multi-agent teams, and agentic workflows using the Agno framework, with reference files covering agents, teams, workflows, memory, knowledge, and deployment.

Sync durable project or session knowledge into the available memory systems so future sessions have accurate context. Use when meaningful work is complete and the user wants the result remembered.

Plan and apply safe, reversible headless-mode changes on Jetson devices to reclaim memory from the GUI and non-essential daemons.

Automates the entire software development lifecycle from PRD to production with zero human intervention, using multi-agent orchestration and memory systems.

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

Enhances AI agent memory by injecting large external context, auto-summarizing conversations with tone and intent preservation, compressing multi-turn histories, and verifying facts.