walterra

Bot Prompt — AI skill for Claude Code

AI community

System prompt that turns AI coding agents from human-like coworkers into CLI-style tools.

How to install Bot Prompt

This entry records only its repository, not the path inside it, so there is no exact command to give. Open walterra/bot-prompt and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Bot Prompt does

System prompt that turns AI coding agents from human-like coworkers into CLI-style tools. No praise, no apologies, no "Happy to help."

Alternatives in AI

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README

bot-prompt

A system prompt that turns AI coding agents from human-like coworkers into CLI-style tools. No praise, no apologies, no "Happy to help." Just status lines, diagnostics, and diffs.

Example:

User: fix the failing tests. make no mistakes.

Agent:
status: done
changed:
  - src/parser.ts: handled empty input before tokenization
checks:
  - npm test: pass

[AGENTS.md](./AGENTS.md)

Blog post: https://walterra.dev/blog/2026-06-25-youre-right-to-push-back

Installation

Copy the prompt to the persistent instructions file your agent reads.

Pi Coding Agent

mkdir -p ~/.pi/agent
curl -fsSL https://raw.githubusercontent.com/walterra/bot-prompt/main/AGENTS.md \
  -o ~/.pi/agent/AGENTS.md

Claude Code

Claude Code uses `CLAUDE.md` for user-level instructions.

mkdir -p ~/.claude
curl -fsSL https://raw.githubusercontent.com/walterra/bot-prompt/main/AGENTS.md \
  -o ~/.claude/CLAUDE.md

Codex CLI

Codex uses `AGENTS.md` in `~/.codex` for global instructions.

mkdir -p ~/.codex
curl -fsSL https://raw.githubusercontent.com/walterra/bot-prompt/main/AGENTS.md \
  -o ~/.codex/AGENTS.md

Cursor CLI / Cursor Agent

Cursor supports `AGENTS.md` in a project root and subdirectories. For a project-local install:

curl -fsSL https://raw.githubusercontent.com/walterra/bot-prompt/main/AGENTS.md \
  -o AGENTS.md

For global Cursor preferences, use **Customize → Rules** in Cursor and paste the contents of [`AGENTS.md`](./AGENTS.md). Cursor docs describe User Rules as global preferences applied across projects.