UserContextv1.0.0

An executive's Hermes agent runs a scheduled cron job each morning to rebuild the `## Daily Context` block in USER.md, pulling calendar events, overnight emails, and recent session tone. When the job fails or the block goes stale, the EA runs `/usercontext` manually before the first meeting. This ensures every session that day opens with an accurate, non-fabricated snapshot of the owner's schedule, mood, and priorities.

A solopreneur uses multiple messaging channels (Slack, iMessage, email) plus agent sessions. This skill classifies each channel into INTERACTION or OUTCOME categories, deduplicates repeated signals, and infers a grounded mood without converting a scheduled event or transaction email into an emotion. The result is a compact daily context block that reflects real affective tone and landed outcomes.

A platform team deploys the same agent across rich (calendar + email + MCP messaging) and bare (sessions-only) environments. Because UserContext adapts to available signal categories and degrades honestly — using `quiet (low signal)` or `unknown` when sources are absent — the USER.md block remains trustworthy in every deployment without a fixed toolset assumption.

A remote team lead asks the agent for a `/daily-context` snapshot before standup. The skill extracts yesterday/today/tomorrow bullets from calendar and reservation emails, summarizes the week theme in one line, and sources mood only from INTERACTION tone and OUTCOME weight. It avoids the classic defect of inventing `anticipation` from a calendar entry.

When the nightly cron that refreshes USER.md fails, the agent detects the stale block and re-runs the skill on demand using `/usercontext`. It enumerates available tools, classifies them into SCHEDULE, INTERACTION, OUTCOME, and STANDING, then rebuilds the block using only already-reachable sources without requesting new permissions.

The skill ships as a built-in capability within a hosted AI agent platform, adding daily-context value to every session. Users pay a monthly subscription for the agent runtime, with UserContext driving retention by making each session open with accurate personal context.

The core skill is MIT-licensed and free, while enterprises pay for support, SLA-backed scheduled-job reliability, and custom signal-source classification for proprietary tools. Revenue comes from support contracts and integration services rather than the skill itself.

UserContext is bundled into a personal AI assistant product sold to individuals or families, where the daily briefing is a headline feature. The skill's portability across setups lowers onboarding cost, and the product monetizes through hardware or app subscriptions.