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    ChunkCompiler

    1

    Prevent mid-file code cutoffs by forcing agents to generate large files in logical, mergeable, and numbered chunks.

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    ChunkCompiler

    ChunkCompiler

    Example session with this skill installed

    Generate a large Python service for an e-commerce backend including auth, product management, and order processing. Use the ChunkCompiler protocol.

    • Read your context and instructions
    • Compiled the chunkcompiler

    I will generate the e-commerce service module in 3 parts to ensure no code is truncated.

    Part 1: Auth and Configuration

    
# CHUNK COMPILER PART 1/3 — imports, config, and auth logic
from fastapi import FastAPI, Depends, HTTPException, status
from pydantic import BaseModel
from typing import List, Optional
import uuid

app = FastAPI(title="E-Commerce Core Service")

class User(BaseModel):
    id: str
    username: str
    is_admin: bool

def get_current_user(token: str):
    # Simulated auth logic
    if not token:
        raise HTTPException(status_code=401, detail="Invalid token")
    return User(id=str(uuid.uuid4()), username="dev_user", is_admin=True)

@app.get("/health")
async def health_check():
    return {"status": "online"}

    [END OF PART 1/3 — next chunk resumes at: product management routes and schemas]

    Next steps

    1. Review the authentication and base FastAPI setup above.
    2. Type "next chunk" or "continue" to receive the Product Management logic.
    3. The final part will cover Order Processing and background tasks.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate large backend modules without syntax-breaking cutoffs.Ensure zero code duplication when resuming long generations.Maintain valid syntax across multiple output turns.Refactor monolithic files into clean, logical segments.

    About this skill

    Large files often trigger token limits, causing agents to stop mid-sentence and leave you with broken syntax. This skill forces agents to plan, split, and label code generation into logical, mergeable blocks.

    What it does

    • Size estimation calculates if a file exceeds the single-output budget before starting.
    • Logical partitioning identifies clean boundaries at the end of classes or functions to avoid syntax errors.
    • Boundary markers inject numbered headers and resumable footer metadata for every chunk.
    • Overlap prevention ensures imports and definitions are not duplicated across multiple parts.
    • Resume verification checks the previous chunk's footer before starting the next to ensure zero data loss.

    How it works

    1. Trigger the skill by requesting a large module or saying "continue" after a cutoff.
    2. The agent plans the boundaries and emits Part 1 with a # CHUNK COMPILER PART 1/N header.
    3. Review the footer marker identifying exactly where the next part will resume.
    4. Input "next chunk" to receive the subsequent part, which starts immediately after the previous boundary.

    Frameworks & tools

    This tool is language-agnostic but optimized for structured programming languages like Python, TypeScript, Java, and C#. It works with any LLM interface that supports multi-turn code generation.

    Why this beats prompting it yourself

    Manual prompts like "continue" often result in the agent repeating code, skipping logic, or losing context. This skill enforces a strict protocol that guarantees every chunk is syntactically valid and fits perfectly with the last.

    Use cases

    • Generating 500+ line FastAPI or Express service modules.
    • Refactoring monolithic classes that hit context window limits.
    • Building complex data pipelines with multiple transformation steps.
    • Scaffolding large boilerplate projects in a single session.

    Known limitations

    This skill is not for files under 100 lines. It does not support prose or Markdown documentation as chunking adds unnecessary overhead to non-code text.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Recently published to Agensi

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    Security scanned

    Verified clean 2 days ago

    • Passed all security checks, Safe to install

    Listed2 days ago

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