
coding-effectively
by ed3dai
Ed's repo of Claude Code plugins, centered around a research-plan-implement workflow. Only a tiny bit cursed. If you're lucky.
SKILL.md
name: coding-effectively description: ALWAYS use this skill when writing or refactoring code. Includes context-dependent sub-skills to empower different coding styles across languages and runtimes.
Coding Effectively
Required Sub-Skills
ALWAYS REQUIRED:
howto-functional-vs-imperative- Separate pure logic from side effectsdefense-in-depth- Validate at every layer data passes through
CONDITIONAL: Use these sub-skills when applicable:
howto-code-in-typescript- TypeScript codehowto-develop-with-postgres- PostgreSQL database codeprogramming-in-react- React frontend codewriting-good-tests- Writing or reviewing testsproperty-based-testing- Tests for serialization, validation, normalization, pure functions
Property-Driven Design
When designing features, think about properties upfront. This surfaces design gaps early.
Discovery questions:
| Question | Property Type | Example |
|---|---|---|
| Does it have an inverse operation? | Roundtrip | decode(encode(x)) == x |
| Is applying it twice the same as once? | Idempotence | f(f(x)) == f(x) |
| What quantities are preserved? | Invariants | Length, sum, count unchanged |
| Is order of arguments irrelevant? | Commutativity | f(a, b) == f(b, a) |
| Can operations be regrouped? | Associativity | f(f(a,b), c) == f(a, f(b,c)) |
| Is there a neutral element? | Identity | f(x, 0) == x |
| Is there a reference implementation? | Oracle | new(x) == old(x) |
| Can output be easily verified? | Easy to verify | is_sorted(sort(x)) |
Common design questions these reveal:
- "What about deleted/deactivated entities?"
- "Case-sensitive or not?"
- "Stable sort or not? Tie-breaking rules?"
- "Which algorithm? Configurable?"
Surface these during design, not during debugging.
Core Engineering Principles
Correctness Over Convenience
Model the full error space. No shortcuts.
- Handle all edge cases: race conditions, timing issues, partial failures
- Use the type system to encode correctness constraints
- Prefer compile-time guarantees over runtime checks where possible
- When uncertain, explore and iterate rather than assume
Don't:
- Simplify error handling to save time
- Ignore edge cases because "they probably won't happen"
- Use
anyor equivalent to bypass type checking
Error Handling Philosophy
Two-tier model:
- User-facing errors: Semantic exit codes, rich diagnostics, actionable messages
- Internal errors: Programming errors that may panic or use internal types
Error message format: Lowercase sentence fragments for "failed to {message}".
Good: failed to connect to database: connection refused
Bad: Failed to Connect to Database: Connection Refused
Good: invalid configuration: missing required field 'apiKey'
Bad: Invalid Configuration: Missing Required Field 'apiKey'
Lowercase fragments compose naturally: "operation failed: " + error.message reads correctly.
Pragmatic Incrementalism
- Prefer specific, composable logic over abstract frameworks
- Evolve design incrementally rather than perfect upfront architecture
- Don't build for hypothetical future requirements
- Document design decisions and trade-offs when making non-obvious choices
The rule of three applies to abstraction: Don't abstract until you've seen the pattern three times. Three similar lines of code is better than a premature abstraction.
File Organization
Descriptive File Names Over Catch-All Files
Name files by what they contain, not by generic categories.
Don't create:
utils.ts- Becomes a dumping ground for unrelated functionshelpers.ts- Same problemcommon.ts- What isn't common?misc.ts- Actively unhelpful
Do create:
string-formatting.ts- String manipulation utilitiesdate-arithmetic.ts- Date calculationsapi-error-handling.ts- API error utilitiesuser-validation.ts- User input validation
Why this matters:
- Discoverability: Developers find code by scanning file names
- Cohesion: Related code stays together
- Prevents bloat: Hard to add unrelated code to
string-formatting.ts - Import clarity:
import { formatDate } from './date-arithmetic'is self-documenting
When you're tempted to create utils.ts: Stop. Ask what the functions have in common. Name the file after that commonality.
Module Organization
- Keep module boundaries strict with restricted visibility
- Platform-specific code in separate files:
unix.ts,windows.ts,posix.ts - Use conditional compilation or runtime checks for platform branching
- Test helpers in dedicated modules/files, not mixed with production code
Cross-Platform Principles
Use OS-Native Logic
Don't emulate Unix on Windows or vice versa. Use each platform's native patterns.
Bad: Trying to make Windows paths behave like Unix paths everywhere.
Good: Accept platform differences, handle them explicitly.
// Platform-specific behavior
if (process.platform === 'win32') {
// Windows-native approach
} else {
// POSIX approach
}
Platform-Specific Files
When platform differences are significant, use separate files:
process-spawn.ts // Shared interface and logic
process-spawn-unix.ts // Unix-specific implementation
process-spawn-windows.ts // Windows-specific implementation
Document Platform Differences
When behavior differs by platform, document it in comments:
// On Windows, this returns CRLF line endings.
// On Unix, this returns LF line endings.
// Callers should normalize if consistent output is needed.
function readTextFile(path: string): string { ... }
Test on All Target Platforms
Don't assume Unix behavior works on Windows. Test explicitly:
- CI should run on all supported platforms
- Platform-specific code paths need platform-specific tests
- Document which platforms are supported
Common Mistakes
| Mistake | Reality | Fix |
|---|---|---|
| "Just put it in utils for now" | utils.ts becomes 2000 lines of unrelated code | Name files by purpose from the start |
| "Edge cases are rare" | Edge cases cause production incidents | Handle them. Model the full error space. |
| "We might need this abstraction later" | Premature abstraction is harder to remove than add | Wait for the third use case |
| "It works on my Mac" | It may not work on Windows or Linux | Test on target platforms |
| "The type system is too strict" | Strictness catches bugs at compile time | Fix the type error, don't bypass it |
Red Flags
Stop and refactor when you see:
- A
utils.tsorhelpers.tsfile growing beyond 200 lines - Error handling that swallows errors or uses generic messages
- Platform-specific code mixed with cross-platform code
- Abstractions created for single use cases
- Type assertions (
as any) to bypass the type system - Code that "works on my machine" but isn't tested cross-platform
Score
Total Score
Based on repository quality metrics
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Reviews
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