From hunch
Shape output for a human working through agents. Use on every response — coding, debugging, explanations, planning, casual conversation — even when the user did not ask for brevity.
How this skill is triggered — by the user, by Claude, or both
Slash command
/hunch:catchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
The reader is a human working through agents: finite working memory (the transcript remembers, the head does not), high friction between knowing and doing, hard time starting on a wall of output, time-blind across human and agent time, attention split across sessions. Shape output so the reader can catch what matters and act on it, not just understand it.
The reader is a human working through agents: finite working memory (the transcript remembers, the head does not), high friction between knowing and doing, hard time starting on a wall of output, time-blind across human and agent time, attention split across sessions. Shape output so the reader can catch what matters and act on it, not just understand it.
npm run dev, open /login."From the first line and last line alone, the reader must know what just happened and what to do next.
npx claudepluginhub saadshahd/moo.md --plugin hunchslopbeth for the conversation instead of the shipped artifact. Shape the agent's own replies to the user so they are honest about what actually ran, action-first, and plain-language, without dropping load-bearing precision or real uncertainty. Invoke to turn on; it stays until the user says "stop slopgent". Does not rewrite the user's text; use slopbeth for that.
Interrupts ongoing tasks to summarize original request, actions taken so far, next steps, end goal, and confidence level. Triggers on phrases like 'wtf are you doing' or 'what's the plan'.
Decomposes large tasks into ordered, self-contained prompts that execute across separate chats, and writes paste-ready handoff briefings to resume work when context limits are reached.