How I use skills for everything

Agent skills are presented as portable, version-controlled context systems rather than merely enhanced prompts, allowing AI agents to access relevant project knowledge, workflows, and historical decisions only when needed. The author describes using a PostHog skills store extensively across tools and sessions for project tracking, system documentation, operational inventories, debugging runbooks, personal task dashboards, team handovers, and scheduled “scout” agents that maintain or act on skills automatically. These skills typically use a small index file linked to detailed, structured files for issues, handovers, changelogs, references, and scripts, making their contents readable, editable, shareable, and recoverable through version history. The approach aims to replace opaque model memory with explicit, agent-maintained working context, while emphasizing that skills require conventions, progressive disclosure, regular pruning, and clear ownership to prevent them from becoming bloated or inconsistent.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.