使用Plaso从混合取证件构建超级时间线 是做什么的？
在分析、范围界定或案例审查之前，将磁盘、日志和系统件摄取到可排序的取证时间线中。
前提条件
Plaso工具链（例如 log2timeline 和 psort）、Python环境、待解析的件集或磁盘映像
安装
无法自动提取基于源的安装或使用说明。在敏感工作流中运行此技能前，请先审查上游项目。
将磁盘、日志和系统件摄取到可排序的取证时间线中，以便进行分析、范围界定或案例审查。
该技能聚焦于利用Plaso（log2timeline/psort）工具链，将来自磁盘映像、系统日志和各类取证件的混合数据整合为统一的、可排序的超级时间线。它帮助数字取证人员在分析、证据范围界定或案件审查前，高效地组织海量异构件，显著提升调查效率。技能支持主流取证工具（如log2timeline解析器集合），并能处理多种件格式。其核心工作流包括：使用log2timeline从源数据提取时间事件，再用psort工具进行过滤、排序和导出。此技能特别适用于数字取证、事件响应和SOC分析场景，支持本地Python环境运行，强烈建议用户参考上游官方文档以确保正确安装和配置。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-super-timelines-from-mixed-forensic-artifacts-with-plaso在分析、范围界定或案例审查之前，将磁盘、日志和系统件摄取到可排序的取证时间线中。
Plaso工具链（例如 log2timeline 和 psort）、Python环境、待解析的件集或磁盘映像
无法自动提取基于源的安装或使用说明。在敏感工作流中运行此技能前，请先审查上游项目。
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
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An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
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Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.