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    Docker Configuration Repair Engineer

    1

    Diagnose and repair failing Dockerfiles, Compose configs, networking, and volume errors with evidence-based fixes.

    $29.99

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    Docker Configuration Repair Engineer

    Docker Configuration Repair Engineer

    Example session with this skill installed

    My node app fails to start in Docker. Logs say 'Error: Cannot find module /app/index.js'. I am using a Dockerfile with a COPY . . command. Help me fix this.

    • Read your context and instructions
    • Compiled the docker configuration repair

    I have analyzed the module resolution failure. This usually indicates a mismatch between the build context, the WORKDIR, and the COPY instruction.

    1. Problem Summary

    • Failure stage: Container Runtime / Startup
    • Expected behavior: Node.js finds and executes index.js at the specified path.
    • Actual behavior: Error: Cannot find module /app/index.js
    • Environment: Docker Engine (Linux/AMD64 assumed)

    2. Root-Cause Analysis

    RankLikely causeEvidenceConfidenceConfirmation
    1Incorrect WORKDIRLog path includes /app/ but entrypoint might be looking elsewhere.Highdocker inspect the WorkingDir
    2.dockerignore exclusionindex.js might be accidentally ignored.MediumCheck .dockerignore contents
    3COPY path mismatchFiles copied to a subfolder instead of root.Mediumls -R inside the container

    3. Recommended Fix

    • File and section: Dockerfile
    • Exact change: Ensure WORKDIR /app is set before COPY . . and that the CMD uses a relative path.
    • Reason: Explicit workdir setting ensures the relative COPY target and CMD execution path align.

    4. Corrected Configuration (Illustrative)

    FROM node:20-slim
WORKDIR /app

# Install dependencies first for better caching
COPY package*.json ./
RUN npm install --only=production

# Copy application source
COPY . .

# Use relative path for entrypoint
CMD ["node", "index.js"]

    5. Validation Commands

    CommandWhat it checksExpected result
    docker build -t app-fix .Build processSuccessful image creation
    docker run --rm app-fix ls -l /appFile presenceindex.js visible in /app
    docker run --rm app-fixRuntimeApplication starts without module error

    6. Prevention

    Use .dockerignore to specifically include only necessary source files. Always use WORKDIR instead of absolute paths in CMD to maintain portability.

    Next steps

    1. Check your .dockerignore file for index.js or *.js patterns.
    2. Verify the WORKDIR matches the path in your error log.
    3. Run the validation ls command provided above to confirm file locations.

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

    About this skill

    Containerization failures halt development and break deployment pipelines. Debugging Dockerfiles and Compose configurations often leads to a cycle of "try and see" that leaves images bloated or insecure. This skill provides a systematic approach to diagnosing and fixing container issues, focusing on evidence-based repairs rather than generic re-installs.

    What it does

    • Failure classification identifies if errors stem from build context, image architecture, networking, or volume permissions.
    • Root-cause analysis ranks potential triggers with confidence scores based on logs and environment data.
    • Smallest-repair recommendation provides specific file changes to fix the error while preserving existing service names and ports.
    • Security hardening replaces risky fixes like privileged mode or root execution with proper UID/GID and volume ownership.
    • Validation logic generates precise CLI commands to verify fixes and ensure service readiness.

    How it works

    1. Supply your failing Dockerfile, docker-compose.yml, or build logs to the agent.
    2. The agent classifies the failure stage, from daemon availability to healthcheck timeouts.
    3. You receive a structured report ranking likely causes with specific confirmation steps.
    4. The agent provides the corrected configuration blocks and a validation plan.

    Frameworks & tools

    Works with Docker Engine, Docker Desktop, Docker Compose, and various CPU architectures. Compatible with standard container workflows including multi-stage builds and container registries.

    Why this beats prompting it yourself

    Generic prompts often suggest destructive commands like docker system prune or insecure chmod 777 fixes. This skill enforces a safety-first workflow that preserves persistent data and follows container best practices for production-ready configurations.

    Use cases

    • Debugging "Exit 1" errors in entrypoint scripts or binary execution.
    • Fixing networking issues between Compose services using service DNS.
    • Correcting volume mount permission denied errors on Linux hosts.
    • Optimizing multi-stage builds to reduce image size and fix layer cache issues.

    Known limitations

    Does not perform live execution of commands. Requires manual input of logs and environment details for accurate diagnosis. Does not handle secrets or private keys.

    Cannot execute commands directly. Requires user-provided logs and configs. Does not handle secrets or credentials. Logic limited to Docker and Compose environments.

    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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    Listed8 days ago

    What's inside

    Frequently Asked Questions

    The skill requires you to provide the contents of your failing Dockerfile or docker-compose.yml, along with the specific error logs or CLI output you are receiving. It uses this data to map your environment and identify the exact layer or networking rule causing the failure.

    Unlike generic prompts, this skill is specifically tuned to avoid 'sledgehammer' fixes like privileged mode or insecure volume permissions. It prioritizes evidence-based, surgical repairs that maintain security best practices and keep image sizes small.

    Yes, the agent is designed to identify architecture-specific errors (such as x86_64 vs ARM64) and can help you structure multi-stage builds to optimize caching and reduce final image overhead.

    For security and safety reasons, this skill does not execute code or run commands on your machine. It provides the corrected configuration blocks and a validation plan for you to review and apply manually.

    This skill supports standard Docker Engine and Docker Desktop environments, including Docker Compose. It is compatible with any AI agent platform that supports text-based input and structured file analysis.

    You receive the full diagnostic logic and repair framework. While the skill is updated periodically to reflect new Docker CLI standards, the version you purchase remains functional for all standard OCI-compliant container workflows.

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