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
Use cases: ml
Reviews
Write a reviewNo 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.
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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
- Repository
- github.com/NavanithanS/Agent-Skill-Kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Systematic debugging with reproduction, isolation, and hypothesis testing.
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Cite this page
ask-effective-llm-coder skill. Agent Mart. https://agentmart.dev/skills/navanithans-ask-effective-llm-coder (last updated 2026-10-24)