Results for “memo”

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

Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry.

Builds a persistent profile of the operator's identity, preferences, and rejected patterns across sessions, reading it at session start and updating it at session end.

Orchestrates teams of specialized AI agents with role-based collaboration, memory, and sequential or hierarchical execution for complex multi-step tasks.

Estimates GPU memory required to load Safetensors or GGUF model weights for inference from the Hugging Face Hub using HTTP Range requests, without downloading weights locally.

Compress natural language memory files (CLAUDE.md, todos, preferences) into a concise format to save input tokens while preserving technical substance, code, URLs, and structure.

Reference guide for evaluating LLM-generated translations between CUDA and OpenMP, covering memory model mapping, kernel launch patterns, shared memory, atomics, and common failure modes.

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

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB da

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

Translates Java code to idiomatic C, including type mappings, OOP-to-procedural patterns, memory management, and error handling for migration or systems programming.

Escreva código C eficiente com gerenciamento adequado de memória, ponteiros

Write efficient C code with proper memory management, pointer

Write efficient C code with proper memory management, pointer

Write efficient C code with proper memory management, pointer

Write efficient C code with proper memory management, pointer

Correctly call native C/C++ libraries from .NET using P/Invoke and LibraryImport, covering function signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns.

Scan files, directories, and memory dumps using YARA rules to identify malware families, suspicious patterns, and IOC matches.

Guides authorized digital forensics and incident response workflows including memory dump analysis, disk timeline creation, PCAP investigation, and artifact triage with evidence preservation.

Manages a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Analyze core dumps, debug live processes, and investigate crashes, deadlocks, or memory issues in C/C++ programs using GDB with intelligent source code correlation.

Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.

Build persistent multi-agent operating systems on Claude Code with kernel architecture, specialist agents, slash commands, file-based memory, and scheduled automation.

Detect kernel-level rootkits in Linux memory dumps using Volatility3 plugins and live system scanners to identify hooked syscalls, hidden modules, and tampered structures.

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

Builds a persistent multi-agent operating system on Claude Code using a kernel config, specialist agents, slash commands, file-based memory, and scheduled automation without external databases.

Configure MCP servers in .claude/.mcp.json with examples for memory, filesystem, search, and browser automation, plus environment variable handling and validation rules.

Research competitor positioning with read-only web and local memory.

Write safe C avoiding memory corruption, buffer overflows, and undefined behavior traps.

副官记忆仓自动同步 — 运行 perception.py --once 完成 git pull + 感知引擎 + push

Logs board meeting decisions with a two-layer memory architecture, separating raw transcripts from approved decisions, and provides commands to review past decisions and overdue action items.