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ask-effective-llm-coder

Best practices for LLM-assisted coding.

Skill by NavanithanS

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/navanithans-ask-effective-llm-coder

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.

Use cases: ml

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/ask-effective-llm-coder

What's inside

Skill name
ask-effective-llm-coder
Description
Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.
License
MIT
Instructions
25 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • README.md
  • SKILL.md
  • validate.py · scripts/
  • skill.yaml
  • case1_placeholder.md · tests/

SKILL.md (first lines)

<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>

From NavanithanS/Agent-Skill-Kit, MIT.

More from NavanithanS/Agent-Skill-Kit

Signals

Stars
1
Forks
1
Open issues
0
Last commit (this folder)
Sep 5, 2026 (1 month ago)
Last release
Oct 4, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from NavanithanS

Cite this page

ask-effective-llm-coder skill. Agent Mart. https://agentmart.dev/skills/navanithans-ask-effective-llm-coder (last updated 2026-10-24)