Core Principles

This is a strict guideline. Follow these rules. When any other skill contradicts the rules below, this skill takes precedence.

Essential guidelines that apply to ALL projects.

Important: These are guiding principles, not absolute rules. Project context matters. If you need to deviate, explain your reasoning and trade-offs.

Note on Examples: Code examples may use specific languages (JavaScript, Python, etc.) for clarity, but principles apply universally. Adapt patterns to your project's language and context.

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1. Prefer Pure Functions

Helper functions should accept data as parameters rather than reading from globals or environment.

// ✅ Preferred: Pure, testable, moveable
function buildResourceName(environment: string, type: string, name: string): string {
  return `${environment}-${type}-${name}`;
}

// ⚠️ Less ideal: Reads from global
const ENV = process.env.ENVIRONMENT;
function buildResourceName(type: string, name: string): string {
  return `${ENV}-${type}-${name}`;
}

When impurity is necessary (AWS calls, DB access): Keep scope minimal, pass clients as parameters when feasible.

2. No Silent Defaults — Fail Fast, Fail Loud

Almost never use fallback values. Missing configuration, missing data fields, and unexpected states should cause immediate, loud failures with meaningful error messages.

// ❌ Silent fallback — masks misconfiguration
const region = process.env.AWS_REGION || 'us-east-1';

// ✅ Fail fast with actionable error
if (!process.env.AWS_REGION) {
  throw new Error('AWS_REGION is required. Set in environment or SSM.');
}
const region = process.env.AWS_REGION;

# ❌ Silent default — hides corrupt data
source = status.get("scrape_source", "")

# ✅ Required field — let it fail if missing
source = status["scrape_source"]

The one exception — user-facing resilience: API endpoints and frontend code must not crash entirely because of a single bad record or missing non-essential field. In these cases:

• Catch the error at the loop/item level (not the field level)
• Log the full error with identifying context (pk, sk, etc.)
• Skip the bad record, serve the rest
• Never scatter .get("field", "") defaults across every field — that silently hides data bugs

# ✅ Correct: required fields fail loud, but one bad record doesn't crash the endpoint
for item in items:
    try:
        result.append(format_item(item))  # format_item uses item["field"] — no defaults
    except (KeyError, ValueError):
        logging.exception("Skipping corrupt item: pk=%s sk=%s", item.get("pk"), item.get("sk"))

When in doubt whether something is "non-essential": stop and discuss. The default stance is fail loud.

3. Code Structure and Organization

Aim for consistent file structure and clear separation of concerns.

Recommended File Structure:

1. Imports
2. Environment variable validation (fail fast on cold start)
3. Constants
4. AWS clients and expensive initializations
5. Types/Interfaces
6. Pure helper functions
7. Impure functions (AWS calls, I/O)
8. Entry point (handler, main, etc.)

Separation of Concerns:

• Prefer separate files for schemas, prompts, and business logic
• Avoid mixing unrelated functionality
• Balance between separation and over-fragmentation

Function Declaration:

• Simple/inline: Arrow functions const fn = () => {}
• Complex logic: Function keyword function fn() {}

4. Project Identifiers in Configuration

Avoid hardcoding project identifiers. Use configuration instead.

// ❌ Avoid
const paramPath = `/myapp/${environment}/api-key`;

// ✅ Preferred
const PROJECT_ID = process.env.PROJECT_ID;
const paramPath = `/${PROJECT_ID}/${environment}/api-key`;

5. Error Handling

The default is to fail fast and loud. Graceful degradation is the rare exception, not the norm.

• Throw/crash: Missing configuration, missing required data fields, invalid setup, critical dependencies. This is the default.
• Log + skip item: Only at user-facing boundaries (API responses, frontend rendering) where one bad item must not take down the whole response. Catch at the item level, log with context, skip the item.
• Never: Scatter silent defaults (.get("field", "")) to avoid errors. That hides bugs.
• Always: Include actionable context in errors — what record, what field, what was expected.

6. Variable Naming

Use meaningful variable names. Avoid single-letter names except in well-established conventions.

// ❌ Avoid
arr.map((a) => a.id);
catch (e) { console.error(e); }

// ✅ Preferred
users.map((user) => user.id);
catch (err) { console.error(err); }

Acceptable abbreviations: err, evt, req, res, ctx, idx, fn

Exceptions: Math formulas (x, y, i, j), trivial arrow functions ([1,2,3].map(n => n * 2))

7. Security Baseline

• Keep secrets, API keys, and credentials out of repositories
• Use AWS Secrets Manager or SSM Parameter Store (SecureString)
• Fetch secrets at runtime, not build time
• Prefer IAM roles over hardcoded credentials
• Separate resources and secrets per environment

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Progressive Improvement

If the developer corrects a behavior that this skill should have prevented, suggest a specific amendment to this skill to prevent the same correction in the future.