The Skill vs Prompt Problem Everyone Gets Wrong

TL;DR

• 1

  Memory is not enough: Agents can know your context perfectly and still require you to explain procedures from scratch every session, which is a different problem entirely.

• 2

  Four symptoms of procedural debt: Prompt bloat from stuffing rules into system prompts, the re-explanation tax across tools, instruction fragmentation between platforms, and weak verification that moves work into the review stage.

• 3

  Skills vs prompts: A prompt is something you say once, while a skill is something your agent knows how to do from now on, complete with trigger rules, boundaries, output definitions, and verification standards.

• 4

  Portability across the multimodel world: Open Skills uses a skill.md markdown convention that works across Cursor, Claude Code, Codex, and any agent harness, preventing the drift that occurs when teams maintain separate rule files.

• 5

  Verification as contract: Good skills define proof ahead of time, specifying what evidence must exist before an agent can call something done, which turns automation from review debt into actual leverage.

• 6

  The compounding flywheel: A session-to-skill extractor identifies recurring procedures worth preserving, so patterns discovered in one chat become reusable skills instead of disappearing into chat history.