Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsForce AI to Split Monolithic Code Into Files
AI dumps 500 lines in one file → context drift, bugs. This skill forces per-file decomposition before code is written.
$9.99
Force AI to Split Monolithic Code Into Files
Example session with this skill installed
Write a quick monolithic script to process real-time events and save them instantly to a local flat file tracker framework.
- Read your context and instructions
- Compiled the force ai to
SEQUENCE-ARCHITECT: monolithic request rejected. Decomposing.
Flat-file storage for real-time events creates race conditions under
concurrent writes and locks reads during compaction. A single-file script
cannot handle backpressure. Decomposing into isolated modules with Redis
Streams as the queue.
Target Directory Architecture Layout:
live_event_tracker/
.env
config.py
redis_client.py
event_consumer.py
handlers/
webhook.py
health.py
Micro-Prompts (one file per prompt, one prompt per session)
1/5 -> config.py
Clean-room engineer. Write a config loader that reads REDIS_URL and
API_TOKEN from environment variables. Also emit a .env.example with
these keys documented. Do not import any other project module.
2/5 -> redis_client.py
Clean-room engineer. Write an async Redis client factory using
redis.asyncio. Expose a single get_client() function. Accept the URL
as a parameter — do not import config.py directly.
3/5 -> event_consumer.py
Clean-room engineer. Write an async loop that reads from a Redis
Stream, processes events, and acknowledges them. Accept the client as
a parameter. Do not import handlers.
4/5 -> handlers/webhook.py
Clean-room engineer. Write a webhook handler that pushes incoming
events into a Redis Stream. Do not import event_consumer.py.
5/5 -> handlers/health.py
Clean-room engineer. Write a standalone health-check endpoint that
pings Redis and returns status. Must run in isolation — no project
imports.
VERIFIED
$ python check.py --input agent_output.json
PASS
exit code: 0
Decomposition status: DECOMPOSED
Files in layout: 8
Micro-prompts: 5
Connects securely to your tools. The creator never sees your data.
About this skill
You ask the agent for a system. It writes 700 lines in one file. You spend an hour untangling what belongs where — and half the code contradicts itself because the model lost context halfway through.
This skill intercepts the request before the first line is written. It forces the agent to propose a directory structure first, get it validated, then write each file in its own isolated pass. Monolithic dumps are rejected.
What it does
- Rejects monolithic output — no single-file dumps, no exceptions.
- Forces a directory tree first — before any functional code is written.
- Generates micro-prompts — one file per prompt, one prompt per session.
- Isolates each file — no cross-imports between prompts, no context pollution.
- Validates before code — architecture contradictions surface before you waste tokens.
How it works
- Scan — reads your workspace and request.
- Map — proposes a directory structure for approval.
- Decompose — breaks the task into one-file micro-prompts.
- Verify — runs check.py on the final output.
Frameworks & tools
Platform-agnostic. Optimized for complex backend repos, high-throughput data streams, and multi-layer database architectures.
Why this beats prompting it yourself
Manual prompting rarely stops an LLM from "helpful" over-generation. This skill enforces a hard boundary — architecture and implementation stay separate, sequential phases.
Use cases
- Legacy refactoring — break monolithic scripts into modular microservices.
- System bootstrapping — get a clean directory structure before writing logic.
- Context management — for projects where single-turn generation exceeds token limits.
Known limitations
- Not for single-file scripts or trivial helpers.
- Requires workspace read access.
- Does not write code itself — it structures how the agent writes it.
- Will exit if the user insists on a monolith after one warning.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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