Metacoding Workflow

    1

    Enforce disciplined TDD, MECE documentation, and single-task focus for high-integrity code execution.

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    Metacoding Workflow

    Example session with this skill installed

    I need to add a new email validation utility to our Python backend. Follow the metacoding workflow.

    • Read your context and instructions
    • Compiled the metacoding workflow

    I have initialized the metacoding workflow for the email validation utility. I have reviewed the project context and identified that no existing validation patterns conflict with this task.

    Task Execution: Email Validation Utility

    I have defined the scope and success criteria in a new task entry. Following the mandatory TDD process, I created a test suite covering valid formats, common invalid strings, and edge cases like long TLDs.

    import pytest
    from app.utils.validators import validate_email
    
    def test_valid_email():
        assert validate_email("dev@example.com") is True
        assert validate_email("user.name+tag@sub.domain.io") is True
    
    def test_invalid_email_formats():
        assert validate_email("plainaddress") is False
        assert validate_email("@missing-user.com") is False
        assert validate_email("user@.com") is False
    
    def test_edge_case_tlds():
        assert validate_email("test@domain.engineering") is True
    

    The implementation was then written to pass these specific tests:

    import re
    
    def validate_email(email: str) -> bool:
        """
        Validates email strings against standard RFC patterns.
        MECE Update: Added to app/utils/validators.py
        """
        if not email or len(email) > 254:
            return False
        
        # Standard email regex pattern
        pattern = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$"
        return bool(re.match(pattern, email))
    

    Next steps

    1. Review the generated task-entry.md for this feature.
    2. Run pytest tests/test_validators.py to confirm verification.
    3. Approve the commit-ready handoff for the app/utils/ directory.

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    About this skill

    Most AI coding sessions devolve into messy, ad hoc edits that break tests and clutter documentation. This skill enforces a disciplined metacoding workflow, ensuring every change is grounded in project context, verified by TDD, and documented with MECE precision.

    What it does

    • Strict Grounding reads project context, workflow rules, and repository organization before proposing any code changes.
    • Mandatory TDD requires documenting test intent and identifying failing tests before implementing production logic.
    • Single Task Focus prevents scope creep by enforcing a one-task-at-a-time limit and queuing unrelated work.
    • MECE Documentation updates specific artifacts without duplication, keeping the codebase and docs in sync.
    • VCS Handoff concludes every session with a commit-ready summary or direct version control action.

    How it works

    1. Context Loading reads provided reference files to align with your specific tech stack and project rules.
    2. Scope Capture defines success criteria and constraints before any implementation begins.
    3. Execution Loop follows the TDD cycle, writing tests and then production code for one bounded task.
    4. Verification runs tests and direct checks to confirm the solution meets the defined criteria.

    Frameworks & tools

    Supports TypeScript, JavaScript, Node.js, React, and Python. It utilizes standard version control systems and integrates with existing repository documentation structures.

    Why this beats prompting it yourself

    Generic prompts often skip testing or ignore documentation standards in favor of speed. This skill embeds a rigid operating contract that prevents the agent from taking shortcuts, ensuring enterprise-grade code quality and repository health.

    Use cases

    • Feature Implementation builds new capabilities using strict TDD and documented task entries.
    • Bug Fixes identifies root causes and verifies fixes through failing and passing test states.
    • Refactoring restructures code while maintaining MECE documentation and functional parity.
    • System Bootstrapping sets up task templates and project rules for new repositories.

    Known limitations

    Requires specific reference files or templates to be present or bootstrapped. Does not support languages outside the provided reference list.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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