Analyze digital traces across platforms into JSON profiles and Markdown reports.
npx skills add https://github.com/wildbyteai/digital-life --skill digital-life-wildbyteai
Please help me install this Agent Skill. Skill: digital-life Source: https://github.com/wildbyteai/digital-life/tree/main Command: npx skills add https://github.com/wildbyteai/digital-life --skill digital-life-wildbyteai
People accumulate vast digital traces across messaging, social platforms, and work tools, yet struggle to understand what those traces say about who they are, how they behave, and what they might become. This Skill Unit translates raw activity into a structured, private profile plus a readable narrative, helping individuals see patterns, risks, and opportunities in their online life without exposing raw data to external servers.
Provide your data and say a trigger like 遗产清算 to start generating a structured profile and readable report.
You can activate any of the five modes by saying the corresponding trigger phrase (for example, 遗产清算, 社死考古, AI替身, 前世, or 墓志铭). The agent will ask 2–4 targeted questions, collect data, analyze it, and output both a JSON profile and a Markdown report with a concrete existential follow-up question.
High-intent search queries and answers about installing and using this skill.
To analyze digital traces, this Skill processes your data from multiple platforms locally to build a structured profile and a human-readable report. It uses evidence-first reasoning across five archaeology modes to surface behavior patterns without uploading your raw data.
Yes, you can perform a privacy-first self-audit. The analysis runs entirely locally, storing data only in a local profiles folder, and requires explicit permission before fetching any data from public URLs or browser-augmented sources.
Digital archaeology is the process of excavating your past online activity to build a structured profile. It applies to personal growth by generating narrative-based self-audits across five modes, helping you see risks and opportunities for better decision making.
You generate a machine-readable profile by providing text descriptions, files, or screenshots and triggering a mode like legacy audit. The Skill outputs a versioned JSON profile alongside a Markdown report with historical snapshots.
Yes, it supports data inputs from text descriptions, browser-augmented data, files, screenshots, or public URLs. You must provide explicit consent for data gathering before the local analysis begins.
The primary limitation is that data analysis is restricted to local processing and storage, meaning it relies entirely on the data you explicitly provide and cannot fetch background information from platforms without your direct permission.
sunnypatneediGenerate structured job descriptions from role and company context.
DGP-StudioAnswer life questions through Venti's philosophical storytelling perspective.
zhangziyana007-sudoAnalyze social media history and digital activity to surface behavior patterns.
sky770825Optimizes cloud API costs and manages hybrid local/cloud AI deployments via Model Context Protocol.
