Comprehensive guide to implementing structured, secure, and performant logging across applications. Covers log levels, structured logging formats, contextual information, PII protection, and centralized logging systems.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlogging-best-practicesExecute the skills CLI command in your project's root directory to begin installation:
Fetches logging-best-practices from aj-geddes/useful-ai-prompts and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate logging-best-practices. Access via /logging-best-practices in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Comprehensive guide to implementing structured, secure, and performant logging across applications. Covers log levels, structured logging formats, contextual information, PII protection, and centralized logging systems.
Minimal working example:
// logger.ts
enum LogLevel {
DEBUG = 0, // Detailed information for debugging
INFO = 1, // General informational messages
WARN = 2, // Warning messages, potentially harmful
ERROR = 3, // Error messages, application can continue
FATAL = 4, // Critical errors, application must stop
}
class Logger {
constructor(private minLevel: LogLevel = LogLevel.INFO) {}
debug(message: string, context?: object) {
if (this.minLevel <= LogLevel.DEBUG) {
this.log(LogLevel.DEBUG, message, context);
}
}
info(message: string, context?: object) {
if (this.minLevel <= LogLevel.INFO) {
this.log(LogLevel.INFO, message, context);
}
}
warn(message: string, context?: object) {
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Log Levels | Log Levels |
| Structured Logging (JSON) | Structured Logging (JSON) |
| Contextual Logging | Contextual Logging |
| PII and Sensitive Data Handling | PII and Sensitive Data Handling |
| Performance Logging | Performance Logging |
| Centralized Logging | Centralized Logging |
| Distributed Tracing | Distributed Tracing |
| Log Sampling (High-Volume Services) | Log Sampling (High-Volume Services) |
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
β Do
β Don't
π‘ Pro Tips
β Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
β 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.
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Registry listing for logging-best-practices matched our evaluation β installs cleanly and behaves as described in the markdown.
logging-best-practices is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added logging-best-practices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in logging-best-practices β fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
logging-best-practices is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
logging-best-practices reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: logging-best-practices is focused, and the summary matches what you get after install.
Registry listing for logging-best-practices matched our evaluation β installs cleanly and behaves as described in the markdown.
logging-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
logging-best-practices reduced setup friction for our internal harness; good balance of opinion and flexibility.
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