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prompting-gemini
by ain3sh
⭐ 0🍴 0📅 2026年1月25日
SKILL.md
name: prompting-gemini description: Precision prompting techniques for Gemini 3 Pro's unique characteristics and quirks. Use when crafting prompts for Gemini 3 to avoid common failures and leverage unintuitive strengths. license: MIT
Critical rules for Gemini 3 Pro that violate typical LLM assumptions.
Non-Negotiable Settings
temperature: 1.0 # NEVER CHANGE - causes loops/degradation at <1.0
top_k: default # Let model handle
top_p: default # Let model handle
Unintuitive Strengths to Exploit
Structure Beats Prose
<!-- THIS WORKS -->
<context>
[data here]
</context>
<task>
Analyze the data above
</task>
<!-- NOT THIS -->
Please analyze the following data: [data]
Planning Directives Transform Performance
For ANY complex task, prepend:
Before answering:
1. Decompose the problem into components
2. Create a step-by-step plan
3. Validate your approach
Then execute.
Few-Shot Can Replace Instructions
Instead of explaining what you want, show 2-3 examples. Model infers patterns better than following descriptions.
Context Dumping Works
Put ALL context first, instruction last. Even 50K tokens of context. Model handles it better than interleaved instructions.
Unintuitive Failures to Avoid
Terse by Default
Without explicit verbosity control, expect telegram-style responses.
<constraints>
Verbosity: High <!-- REQUIRED for detailed answers -->
</constraints>
Politeness Degrades Performance
❌ "Could you please help me understand..."
✅ "Explain X."
Mixed Instructions Cause Chaos
❌ Context, instruction, more context, another instruction
✅ ALL context → ALL instructions
Natural Language < Structured Commands
❌ "Write something creative but not too long"
✅ "Output: 500-word story. Style: surrealist."
Task-Specific Patterns
Complex Analysis
<system>
<reasoning>explicit_chain_of_thought</reasoning>
</system>
<data>[all context]</data>
<analysis_directive>
1. Parse all entities
2. Map relationships
3. Identify patterns
4. Draw conclusions
Output format: Structured findings with evidence
</analysis_directive>
Creative Generation
<parameters>
Style: [specific aesthetic]
Constraints: [exact limits]
Avoid: [anti-patterns list]
</parameters>
<directive>
First: Commit to ONE bold direction
Then: Execute fully without hedging
</directive>
Code/Technical
<requirements>
- Complete implementation only
- No placeholders/TODOs
- Production-ready
- Include error handling
</requirements>
<task>[specific ask]</task>
Multimodal
[Image/PDF/Media FIRST]
<task>
Describe what you see, then [specific analysis]
</task>
Quick Optimization Checklist
- Temperature = 1.0?
- Used XML/Markdown tags?
- All context BEFORE instructions?
- Explicit verbosity setting?
- Removed all politeness?
- Added planning directive for complex tasks?
- Specified exact output format?
- One clear task, not multiple?
- Examples instead of explanations?
Emergency Fixes
| Symptom | Fix |
|---|---|
| Looping output | Check temperature (must be 1.0) |
| Too brief | Add <constraints>Verbosity: High</constraints> |
| Confused execution | Restructure: context→task→output spec |
| Generic output | Add anti-patterns list + "be distinctive" |
| Misses instructions | Use XML tags, not prose |
| Poor reasoning | Add explicit planning phase |
The Golden Template
<role>[If needed - domain expert]</role>
<context>
[EVERYTHING relevant - frontload it all]
</context>
<planning>
Before executing, create step-by-step approach
</planning>
<task>
[ONE clear directive]
</task>
<constraints>
- Verbosity: [Low/Medium/High]
- Format: [Exact specification]
- Avoid: [Anti-patterns]
</constraints>
Remember: Gemini 3 is a precision instrument, not a conversation partner. Treat it like a powerful but literal compiler that rewards structure and punishes ambiguity.
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