freelancer-developer-resources

name	freelancer-developer-resources
description	Use when requesting development prompts, system design/architecture templates (ADR, tech specs), docker/API boilerplates, CI/CD configs, Prometheus/Grafana monitoring scripts, or technical/behavioral interview preparation guides.

Freelancer Developer Resources

Equip the solo AI/ML freelancer with copy-paste prompts, system design templates, reusable boilerplate code, production monitoring runbooks, and interview frameworks that match billion-dollar company engineering standards.

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Skill Architecture

To utilize this skill's prompts, system architectures, or code templates, read the corresponding document in the references/ directory:

File	Focus	Purpose
07A-PROJECT-PROMPTS.md	AI Prompts for Projects	XML-structured prompts for generating complete ML pipeline scripts, full-stack web applications, business automation services, or scrapers
07B-ARCHITECTURE-TEMPLATES.md	System Design & ADR Docs	Architectural Decision Record (ADR) template, System Design Document blueprint, API Specification sheet
07C-CODE-SNIPPETS.md	Boilerplate Snippets	Reusable Dockerfile configurations, FastAPI basic structures, GitHub Actions CI/CD workflows, pytest unit test scripts
07D-MONITORING-PLAYBOOKS.md	Production Monitoring	Prometheus metric exports, Grafana monitoring dashboards, alert rules, runtime incident response playbooks
07E-INTERVIEW-PREP.md	Freelancer Interview Prep	ML System Design framework, behavioral story builder, live technical coding review checklists

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Agent Guidelines & Workflows

1. Generating Code with Prompts

When asked to write complex project scripts, pipelines, or web apps:

• Reference 07A-PROJECT-PROMPTS.md to locate the relevant XML-structured promts.
• These prompts ensure AI models write complete, self-documenting code with error boundaries, logging, and unit tests (avoiding placeholders or shortened mock code).

2. Drafting System Architecture & ADRs

When asked to design a system, explain architecture choices, or document technical decisions:

• Reference 06B-LEGAL-CONTRACTS.md for legal alignment, then use 07B-ARCHITECTURE-TEMPLATES.md to draft a System Design Document or ADR.
• Log architectural choices using the immutable ADR format detailing: Context, Alternatives Considered, Decision, Consequences, and Rollback Path.

3. Deploying Boilerplate Snippets

When setting up project scaffolds, containers, or test suites:

• Reference 07C-CODE-SNIPPETS.md to copy Dockerfile templates, modular FastAPI setups, and multi-stage CI/CD configuration files.

4. Setting Up Production Monitoring

When designing production release scripts or monitoring guides:

• Reference 07D-MONITORING-PLAYBOOKS.md to expose custom Prometheus metrics.
• Build Grafana panels tracking: system metrics (CPU, RAM, latency), database load, and model drift indicators.

5. Client Interviews and Screening prep

When assisting a freelancer with preparing for client screening calls or technical system design interviews:

• Reference 07E-INTERVIEW-PREP.md to draft behavioral stories using the STAR framework.
• Practice the 6-step Machine Learning System Design blueprint (Scope $\rightarrow$ Data $\rightarrow$ Features $\rightarrow$ Offline Training $\rightarrow$ Evaluation $\rightarrow$ Deployment/Monitoring).

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Quick Reference Summary

Concept	File	Section	One-Line Summary
XML Prompts	07A	2	Structure instructions using <context> and <requirements> tags for precise generation
Tech Spec Blueprint	07B	1	Define goals, non-goals, data schema, scale metrics, and failure scenarios before coding
ADR Format	07B	2	Record decisions: title, context, options considered, selected decision, consequences
FastAPI Template	07C	2	Deploy microservices with health-checks, global exception handlers, and dotenv setup
Prometheus metrics	07D	1	Instrument endpoints with latency counters, failure triggers, and execution histograms
ML Design Steps	07E	1	Answer system design queries: Problem $\rightarrow$ Data $\rightarrow$ Features $\rightarrow$ Model $\rightarrow$ Evaluation $\rightarrow$ Monitor

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