ask-effective-llm-coder
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Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.
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npx skill4agent add navanithans/agent-skill-kit ask-effective-llm-coderTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →<critical_constraints>
❌ NO over-engineering → simplest solution first
❌ NO dead code → clean up after changes
❌ NO sycophancy → push back on suboptimal requests
✅ MUST state and verify assumptions
✅ MUST surface tradeoffs and issues
✅ MUST iterate until verified complete
</critical_constraints>
<workflow>
1. **Declarative**: Focus on success criteria, loop until met
2. **Plan Inline**: Brief 2-5 step plan for complex tasks
3. **Test-First**: Generate tests/validation before code
4. **Naive → Optimized**: Simple correct version first, then optimize
5. **Tenacity**: Persist through iterations, try alternatives
</workflow>
<quality>
- Simplicity First: clean, readable, minimal
- Clean Up: remove dead code, unused variables
- Surface Issues: state assumptions, tradeoffs, risks
- Push Back: politely object to suboptimal approaches
</quality>