Results for “mem”

Criteria for deciding when, where and how to remember information. Use this skill whenever you might need to update a core memory block, file something under memory/, or write to a state file. It is CRITICAL that you use this skill.

Create and maintain TeamMember entities — humans and named AI personas that participate in the project with persistent identity, personality, and tiered memory. Use when adding a new persistent team-member (human or named AI), managing the name pool, scaffolding memory trees, or exporting/importing a team-member bundle. Replaces the deprecated actor-profile skill (DEC-20260422_0233-SpryTulip).

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

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials.

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

Promote project-specific memories into strict, small global memory only when they are cross-project, stable, useful, safe, and worth the global context cost. Load when the user says make this global, remember across projects, save this globally, or promote this learning.

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

Create structured memoranda of understanding for partnerships, including context, key components, action plans, and success metrics.

通用记忆抽象接口。当定义记忆结构、记忆检索、记忆关联时调用此技能。

Scaffolds a new project from a saved template, creating CLAUDE.md, initial memory, and validating foundation requirements.

Profile and optimize iOS apps with Instruments, memory management, and rendering techniques. Use when profiling iOS apps with Instruments or optimizing memory and rendering.

Session-end auto-extraction of lessons, errors, fixes, and user feedback into structured memory. Fires at session end. Requires consent on first run.

Curating cross-agent knowledge and institutional memory: extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices. Use for memory curation.

Integrates Mem0 Platform SDK for persistent memory in AI applications. Use when building agents or chatbots that need to remember user preferences, past interactions, or personalized context across sessions. Covers Python and TypeScript SDKs, plus LangChain, CrewAI, OpenAI Agents, LlamaIndex, AutoGen, and LangGraph integrations.

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.

Coordinates multiple AI agents through a shared room: shared memory, task claiming, conflict detection, and destination tracking.

Explains cellular structures, membrane transport, energetics, signaling, and division, connecting molecular events to organismal function.

Redige as razoes finais / memoriais escritos (CPC 364 §2 — concedidos quando a causa apresentar questoes complexas, por prazo sucessivo de 15 dias): sintese fatica, demonstracao das provas efetivamente produzidas na instrucao, fundamentacao juridica e reforco dos pedidos, preparando a sentenca. Use quando o operador disser razoes finais, memoriais, alegacoes finais escritas, art 364, fechar a instrucao, ou houver prazo para apresentar memoriais apos a AIJ.

Acquires Linux memory using the LiME kernel module and analyzes the image with Volatility 3 to extract processes, network connections, bash history, kernel modules, and injected code for incident response.

Transforms lessons learned into domain-organized memory instructions that persist across VS Code contexts, with global and workspace scopes.

Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Interact with Slack by reacting to messages, managing pins, sending, editing, and deleting messages, and fetching member and emoji information.

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

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

Analyzes Perfetto traces to find the root cause of latency, memory, or jank issues in Android apps.

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

Provides expert guidance for building modern C++20/23 applications, covering template metaprogramming, memory optimization, concurrency, and build tooling.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Collaborates with the Yansu desktop app via its bundled CLI to summarize activity, search memories, and hand off jobs.

Optimizes Flutter app performance by reducing rebuilds, improving list rendering, managing memory, and applying profiling and image optimization techniques.

Autonomous memory system for persistent learning across sessions. Automatically saves architectural decisions, bugfixes, patterns, and insights. Use to recall context from previous work and build institutional knowledge.