ln-771-logging-configurator

levnikolaevich/claude-code-skills · updated Apr 8, 2026

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$npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-771-logging-configurator
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Type: L3 Worker

  • Category: 7XX Project Bootstrap
skill.md

ln-771-logging-configurator

Type: L3 Worker Category: 7XX Project Bootstrap

Configures structured JSON logging for .NET and Python projects.


Overview

Aspect Details
Input Context Store from ln-770
Output Logging configuration files
Stacks .NET (Serilog), Python (structlog)

Phase 1: Receive Context

Accept Context Store from coordinator.

Required Context:

  • STACK: .NET or Python
  • FRAMEWORK: ASP.NET Core or FastAPI
  • FRAMEWORK_VERSION: Version number
  • PROJECT_ROOT: Project directory path
  • ENVIRONMENT: Development or Production

Validation:

  • If STACK not provided, detect from project files
  • If version not provided, use latest stable

Phase 2: Research Current Best Practices

Use MCP tools to get up-to-date documentation.

For .NET (Serilog):

MCP ref: "Serilog ASP.NET Core structured logging configuration"
Context7: /serilog/serilog-aspnetcore

For Python (structlog):

MCP ref: "structlog Python structured logging configuration"
Context7: /hynek/structlog

Key Patterns to Research:

  1. Request logging middleware
  2. Log enrichment (correlation ID, user context)
  3. Log level configuration by environment
  4. Sink configuration (Console, File, Seq, Elastic)

Phase 3: Decision Points

Ask user for configuration preferences.

Q1: Log Format

Option When to Use
JSON (Recommended for Production) Machine-readable, log aggregation systems
Pretty/Colored (Recommended for Development) Human-readable, local debugging

Q2: Enrichment Fields

Field Description Default
correlationId Request tracking across services ✓ Yes
userId Authenticated user identifier ✓ Yes
requestPath HTTP request path ✓ Yes
responseTime Request duration in ms ✓ Yes
machineName Server hostname Optional
threadId Thread identifier Optional

Q3: Log Sinks

Sink Use Case
Console Always enabled
File Local persistence, log rotation
Seq Structured log server
Elasticsearch Log aggregation at scale

Q4: Log Levels by Environment

Level Development Production
Default Debug Information
Microsoft.* Information Warning
System.* Information Warning
Application Debug Information

Phase 4: Generate Configuration

Generate files based on stack and decisions.

.NET Output Files

File Purpose
Extensions/LoggingExtensions.cs Service registration
appsettings.json (update) Serilog configuration
appsettings.Development.json (update) Dev overrides

Generation Process:

  1. Use MCP ref to get current Serilog API
  2. Generate LoggingExtensions.cs with:
    • UseSerilog configuration
    • Request logging middleware
    • Enrichment configuration
  3. Update appsettings.json with Serilog section

Packages to Add:

  • Serilog.AspNetCore
  • Serilog.Sinks.Console
  • Serilog.Sinks.File (if File sink selected)
  • Serilog.Enrichers.Environment (if machineName selected)

Python Output Files

File Purpose
core/logging_config.py structlog configuration
middleware/logging_middleware.py Request logging

Generation Process:

  1. Use MCP ref to get current structlog API
  2. Generate logging_config.py with:
    • Processor chain configuration
    • Renderer selection (JSON/Console)
    • Log level configuration
  3. Generate logging_middleware.py for FastAPI

Packages to Add:

  • structlog
  • python-json-logger (if JSON format)

Phase 5: Validate

Verify the configuration works.

Validation Steps:

  1. Check imports: Ensure all packages are available

    • .NET: dotnet list package | grep Serilog
    • Python: pip list | grep structlog
  2. Syntax check:

    • .NET: dotnet build --no-restore
    • Python: python -m py_compile core/logging_config.py
  3. Test log output:

    • Start application
    • Make test request
    • Verify log format matches configuration

Expected Log Format:

{
  "timestamp": "2026-01-10T12:00:00.000Z",
  "level": "info",
  "message": "Request completed",
  "correlationId": "abc-123",
  "requestPath": "/api/health",
  "responseTime": 45,
  "statusCode": 200
}

Return to Coordinator

Return result to ln-770:

{
  "status": "success",
  "files_created": [
    "Extensions/LoggingExtensions.cs",
    "appsettings.json"
  ],
  "packages_added": [
    "Serilog.AspNetCore",
    "Serilog.Sinks.Console"
  ],
  "registration_code": "services.AddLoggingServices(configuration);",
  "message": "Configured structured logging with Serilog"
}

Idempotency

This skill is idempotent:

  • Phase 1: Check if logging already configured (Grep for Serilog/structlog)
  • If configured: Return { "status": "skipped", "message": "Logging already configured" }
  • If not: Proceed with configuration

Reference Links


Critical Rules

  • Use MCP ref/Context7 for current API — do not hardcode Serilog/structlog config from memory
  • Idempotent — if Serilog or structlog already configured, return status: "skipped" immediately
  • Environment-aware log levels — Debug for Development, Information for Production (never Warning default)
  • Always include correlation ID enrichment — required for distributed tracing
  • Return structured responsefiles_created, packages_added, registration_code for coordinator aggregation

Definition of Done

  • Context Store received and validated (stack, framework, version)
  • Best practices researched via MCP tools for target stack
  • User decisions collected (format, enrichment, sinks, log levels)
  • Configuration files generated (extensions/config + appsettings or Python modules)
  • Syntax validated (dotnet build or py_compile)
  • Structured JSON response returned to ln-770 coordinator

Version: 2.0.0 Last Updated: 2026-01-10

how to use ln-771-logging-configurator

How to use ln-771-logging-configurator on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add ln-771-logging-configurator
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-771-logging-configurator

The skills CLI fetches ln-771-logging-configurator from GitHub repository levnikolaevich/claude-code-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ln-771-logging-configurator

Reload or restart Cursor to activate ln-771-logging-configurator. Access the skill through slash commands (e.g., /ln-771-logging-configurator) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.827 reviews
  • Ganesh Mohane· Dec 16, 2024

    ln-771-logging-configurator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ava Park· Dec 8, 2024

    ln-771-logging-configurator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ava Ndlovu· Nov 27, 2024

    Registry listing for ln-771-logging-configurator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakura Brown· Nov 23, 2024

    Useful defaults in ln-771-logging-configurator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Liam Rahman· Oct 18, 2024

    Keeps context tight: ln-771-logging-configurator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Okafor· Oct 14, 2024

    ln-771-logging-configurator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Benjamin Sethi· Sep 25, 2024

    We added ln-771-logging-configurator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yusuf Flores· Sep 21, 2024

    ln-771-logging-configurator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Rahul Santra· Sep 9, 2024

    Keeps context tight: ln-771-logging-configurator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Aug 28, 2024

    Registry listing for ln-771-logging-configurator matched our evaluation — installs cleanly and behaves as described in the markdown.

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