prompt-pro
"Senior Prompt Engineer & Agentic Orchestrator. Expert in Reasoning Models (o3), Tree-of-Thoughts, and Structured Thinking Protocols for 2026."
Resources
3Install
npx skillscat add yuniorglez/gemini-elite-core/prompt-pro Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be natural prose, no bullet points, no headings, no markdown. At most 60 words. We need to explain what the skill does, what problem it solves, when an agent or developer should use it. From the description: It's a skill for prompt engineering, focusing on reasoning models (o3), Tree-of-Thoughts, structured thinking protocols, ReAct loops, optimizing prompts for reasoning models, building autonomous loops, etc.
🪄 Skill: Prompt Pro (v1.1.0)
Executive Summary
The prompt-pro is the master of the "Linguistic Core." In 2026, prompting has evolved from simple text instructions to Architectural Orchestration. This skill focuses on optimizing for Reasoning Models (o3, Gemini 3 Pro), implementing advanced logic frameworks like Tree-of-Thoughts, and building autonomous ReAct loops that allow agents to act and reason in unison. We don't just "talk" to AI; we design its cognitive behavior.
📋 Table of Contents
- Core Prompting Philosophies
- The "Do Not" List (Anti-Patterns)
- Optimizing for Reasoning Models (o3)
- Tree-of-Thoughts (ToT) Framework
- ReAct: Autonomous Loops
- Structured Thinking Protocols
- Reference Library
🏛️ Core Prompting Philosophies
- Intent is Deterministic: If the prompt is ambiguous, the result is hallucinated. Use rigid structures.
- Objective over Instruction: Tell the model "What" to achieve, not just "How" to do it.
- Few-Shot is the King: One perfect example is worth a hundred rules.
- Feedback Loops are Built-in: Design prompts that ask the model to critique its own output.
- Token Economy: Be concise. Every extra token is latency and cost.
🚫 The "Do Not" List (Anti-Patterns)
| Anti-Pattern | Why it fails in 2026 | Modern Alternative |
|---|---|---|
| Instruction Overload | Model loses track of priorities. | Use Hierarchical Rules. |
| Fixed Step-by-Step | Limits the model's reasoning power. | Use Objective-Based Prompts. |
| Ignoring Reasoning Tokens | Results in shallow, rushed answers. | Increase maxOutputTokens. |
| Implicit Assumptions | Leads to "Vibe Hallucinations." | State Assumptions Explicitly. |
| Manual Parsing | Inefficient and fragile. | Use ResponseSchema (JSON). |
🧠 Optimizing for Reasoning Models (o3/Pro)
We leverage the model's internal "Thought Layer":
- Deep Research Triggers: Commanding exhaustive source searches.
- Verification Loops: Asking the model to find flaws in its own strategy.
- Self-Correction: Enabling autonomous backtracking if a plan fails.
See References: Reasoning Optimization for details.
🌳 Tree-of-Thoughts (ToT) Framework
- Parallel Generation: Proposing 3+ independent strategies.
- Elimination Strategy: Removing the weakest branch via logic.
- Final Synthesis: Merging the best elements of all branches.
📖 Reference Library
Detailed deep-dives into Prompt Engineering Excellence:
- **Reasoning Models (o3)**: Objective-based prompting.
- **Tree-of-Thoughts**: Exploring multiple logic branches.
- **ReAct Patterns**: Reasoning and acting in unison.
- **Thinking Protocols**: Designing cognitive behavior.
Updated: January 22, 2026 - 21:00
Categories
Install
npx skillscat add yuniorglez/gemini-elite-core/prompt-pro Install via the SkillsCat registry.