Gym mode for agentic coding

Instead of writing 100% of the code for you, the agent scaffolds a logical unit, hands it off, watches you implement it, and reviews your work before resuming.

_{___ Keep your edge ___}

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Heavy AI usage makes you stupid.

Science. says. so.

Anthropic too.

When BIG BAD AI COMPANY™ warns us about the negative effects of its own product, we should probably pay attention.

Much like sitting on your ass all day makes you weak and sad, keeping your brain in powersave mode all day makes you lazy and dumb.

The first you fix by going to the gym.

The second you fix by using SpotMe.

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How it works

1. Enable SpotMe at the start of a session: /spotme:on [lite|medium|hard] [--every N]
2. Every N code-writing actions, the agent scaffolds the next unit instead of completing it
3. You implement the marked section (# SPOTME: ...) directly in your editor
4. /spotme:done → agent checks your work and gives brief, calibrated feedback
5. Agent resumes the original task

Commands

Command	Description
/spotme:on [lite|medium|hard] [--every N]	Enable gym mode. Default: medium, every 2
/spotme:off	Disable — agent writes code normally
/spotme:status	Show current state
/spotme:rep	Request an exercise on-demand
/spotme:done	Submit your implementation for review
/spotme:hint	Get one targeted hint
/spotme:solve	Concede — agent completes the exercise
/spotme:skip	Skip this exercise, no note

Difficulty levels

Level	Agent writes	You write
lite	Signature + docstring + structure	Just the body
medium	Signature + # SPOTME: spec comment	All logic
hard	Plain English spec comment only	Everything

Install

OpenCode

Add to your opencode.json:

{
    "$schema": "https://opencode.ai/config.json",
    "plugin": ["spotme"]
}

Pi

Install as a Pi package:

pi install npm:spotme

SpotMe integrates as a Pi extension with programmatic slash commands and custom tools (spotme_exercise, spotme_end, spotme_status). Commands that don't require LLM reasoning (/spotme:on, /spotme:off, /spotme:status) execute instantly via the Pi UI. Commands that need LLM input (/spotme:done, /spotme:solve, /spotme:skip, /spotme:hint, /spotme:rep) inject exercise details directly into the prompt for seamless review.

Skill only (any harness that supports AgentSkills)

Copy SKILL.md into your harness's skills directory. This gives the prompt layer without the automated tool interception — commands still work, but the counter-based trigger won't fire automatically.

Star History

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Local Development

To develop and test a branch locally:

# 1. Clone SpotMe locally
mkdir ~/temp && cd ~/temp
git clone https://github.com/wtfzambo/spotme.git

# 2. Create a new directory somewhere
mkdir ./test_spotme && cd ./test_spotme

# 3. Run scripts/test-local-branch.sh from the new folder
../spotme/scripts/test-local-branch.sh

Then, in test_spotme, open your agent harness (OpenCode, Pi...) and verify spotme commands exist. Finally, checkout the SpotMe branch you need.

Name

The agent is your spotter. It sets up the lift, stands by while you push, catches you if you call for help. The work is yours.