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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Code Context Engineering

    2

    A high-precision pre-coding gate that detects conflicting requirements and prevents agents from making wrong assumptions.

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    code-context-engineering

    code-context-engineering

    Example session with this skill installed

    Refactor the user status logic. I need to force an update to the user status directly in SQL to bypass the current validation lag.

    • Read your context and instructions
    • Compiled the code-context-engineering

    Context Sources

    • Project rules: AGENTS.md (No direct DB edits)
    • User request: "Force update user status in SQL"
    • Existing code: UsersController.js (Uses Repository pattern)

    Gate Status: blocked_by_rule
    Reason: Direct SQL edits are forbidden by project_rules. I can use the UserRepo instead.

    AGENTS.md

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    About this skill

    What it does

    Code Context Engineering is a high-precision pre-flight skill for AI agents that prevents "wrong-task" failures. Before a single line of code is written, it forces the agent to inventory disparate sources—including repository rules, user requests, existing codebases, external documentation, and historical chat memory—to identify contradictions, stale instructions, or missing criteria.

    Why use this skill

    Standard LLM prompting often results in "hallucinated intent" where agents guess how to resolve conflicting requirements. This skill replaces guesswork with a formal Conflict Gate. It enforces a "stop-and-ask" protocol if choosing a path would materially alter scope, safety, or data integrity. It builds a source-of-truth contract that ensures the downstream implementation is actually what the developer needs, not just what the agent inferred.

    Supported workflows

    • Complex Refactoring: Ensures existing behavior is preserved unless explicitly targeted for change.
    • Feature Migrations: Detects version drift between installed packages and external documentation.
    • Architecture Planning: Aligns current requests with long-term project rules and memory.
    • Issue Triage: Identifies when ticket requirements are insufficient to begin coding.

    The Output

    The skill produces a Context Ledger with confidence labels and a Gate Status (Clear, Blocked, or Needs Verification). If blocked, it generates a high-signal, "low-AI-smell" clarification request that pinpoints the exact sources in conflict.

    • Cannot auto-fix conflicting docs.
    • Effectiveness depends on the agent's ability to access specific repository files.
    • Not a replacement for unit tests.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill acts as a pre-coding gate that identifies contradictions between your request, existing code, and repository rules, preventing agents from wasting tokens on incorrect implementations.

    The skill provides a Context Ledger with specific confidence labels and a Gate Status (Clear, Blocked, or Needs Verification) to let you know if the agent is truly ready to code.

    It is designed for any Large Language Model (LLM) integrated into a coding agent or IDE extension that supports multi-step reasoning and tool-calling workflows.

    Yes, it is specifically designed to scan historical chat memory and external documentation to ensure new features don't conflict with previously established project constraints.

    The gate is triggered automatically at the start of a task; if a conflict is found, the agent produces a 'low-AI-smell' clarification request instead of proceeding with flawed code.

    You receive the full logic framework for the Code Context Engineering skill, including the prompt architecture for the Context Ledger and the stop-and-ask protocol.

    New in Prompt & Skill Engineering