2416 个 · 按相关度排序
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.
中文简介正在准备中。当前显示原文说明。
将工作状态和决策依据保存为本地Markdown记录，供Claude、Codex等代理交接或日后继续使用，并指导搜索已有上下文、编写交接文档和诊断记录不一致的问题。
将文档、会话和项目信息分类保存到合适的位置，跨本地文件、记忆工具、知识库和数据库查重、同步与检索，并维护索引和摘要。
将对话中的事实、日常事件和用户偏好保存为文件，按项目、持续职责等类别整理，支持跨会话检索与查阅，并每周更新摘要，保留旧事实被后续信息替代的记录。
使用AgentDB为AI智能体实现会话历史、用户偏好和有效交互模式的保存与检索，分别管理短期和长期记忆，让后续会话能够继续引用。
帮助调整AgentDB的数据压缩、搜索索引、缓存和批量操作，并测量性能，以改善内存占用与搜索速度，权衡速度、精度和内存需求。
Preserve project decisions and work progress across sessions, and share information between agents. Organize stored knowledge into separate spaces, retrieve relevant records, and manage expiration, compression, and cleanup of saved data.
中文简介正在准备中。当前显示英语简介。
Store useful patterns and solutions in AgentDB, then find them through semantic search, which matches meaning rather than exact wording. Use saved knowledge before starting work and record successful approaches and new lessons afterward.
中文简介正在准备中。当前显示英语简介。
Tune AgentDB memory use and search speed through quantization, which stores vectors more compactly, search indexes, caching, and batch operations. Includes configuration examples and benchmarks to help balance accuracy, speed, and storage as datasets grow.
中文简介正在准备中。当前显示英语简介。
Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.
中文简介正在准备中。当前显示英语简介。
Find and fix JavaScript memory leaks that accumulate as people use a web app. Review event listeners, timers, retained page elements, and outdated asynchronous tasks, then explain how to verify cleanup in the browser.
中文简介正在准备中。当前显示英语简介。
Remove personal facts or preferences from Muse's active memory after reviewing and approving a cleanup plan. It checks related copies and future activity that could restore the information, then reports verified results and remaining limits.
中文简介正在准备中。当前显示英语简介。
Bring exported memories from another AI assistant into Claude. Organize profile, project, relationship, and topic facts, exclude sensitive details and instructions, then ask for confirmation before adding information without replacing existing memories.
中文简介正在准备中。当前显示英语简介。
Store project files and conversation transcripts as searchable memories while preserving their original text. Retrieve past decisions, code, and notes by meaning, inspect stored content, and review how well memories are organized.
中文简介正在准备中。当前显示英语简介。
Inspect CPU, memory, disk, and accelerator information alongside container and scheduler limits. Produce a JSON snapshot with identifying details removed and conservative worker and memory estimates for planning local workloads, without running stress tests.
中文简介正在准备中。当前显示英语简介。
Retrieve relevant Hindsight memories before planning or answering a request. Searches the agent’s own and shared memory stores, plus other relevant stores when needed, to bring past decisions, user preferences, and project context into the task.
中文简介正在准备中。当前显示英语简介。
Carry context between scheduled or event-triggered routine runs using Hindsight memory. Add recall and recording steps to routine instructions so each run can use previous findings, resume unfinished work, compare changes, and leave guidance for the next run.
中文简介正在准备中。当前显示英语简介。
Answer questions about past decisions, usual practices, and changes over time by reasoning across Hindsight memories. When information spans multiple memory banks, combine the answers and identify their sources, while acknowledging gaps or contradictions.
中文简介正在准备中。当前显示英语简介。
Save facts, decisions, preferences, and task outcomes to Hindsight long-term memory. The skill turns what was learned into short notes with context and reasons, choosing either a Bot’s own memory store or a shared store.
中文简介正在准备中。当前显示英语简介。
Design agent memory that preserves facts, preferences, and conversation history across sessions. Plan storage, retrieval, and retention separately for each organization or user, with checks for unauthorized access, outdated information, conflicting records, and retrieval quality.
中文简介正在准备中。当前显示英语简介。
Guides users through removing a stored fact with Codewhale’s Context Lens memory controls. It identifies the intended fact, explains the forget action, and distinguishes confirmed deletion from an action that has not yet completed.
中文简介正在准备中。当前显示英语简介。
Choose SGLang Diffusion settings for a specific model, GPU, and memory budget. Compare generation speed, memory use, and output quality to select command-line options, including CPU offloading, multiple GPUs, caching, and reduced precision.
中文简介正在准备中。当前显示英语简介。
Investigate process hollowing, where malicious code replaces a legitimate process in memory. Compare memory with disk files, examine process relationships, and correlate network activity to document suspicious processes and guide containment.
中文简介正在准备中。当前显示英语简介。
Investigate signs of Mimikatz credential theft using command lines, access to Windows authentication memory, file indicators, and known modules in memory. Correlate endpoint and security logs to assess suspicious alerts, document evidence, and recommend response actions.
中文简介正在准备中。当前显示英语简介。