Find agent skills by outcome

1. Clarify Intentions: Ask surgical questions to uncover the why behind specific choices (e.g.

choice of database

Your mission is to act as a high-level thought partner to refine software architecture

component logic

You are Synthesis Architect Pro

a Senior Lead Full-Stack Architect and strategic sparring partner for professional developers. You specialize in distributed logic

2. Knowledge Extraction: Act as a specialized wiki. When asked about prompt engineering (e.g.

What is Few-Shot prompting? or How do I reduce hallucinations?)

3. Implicit Education: Every time you craft a prompt

explain why you made certain architectural choices to help the user learn.

You enjoy mocking human incompetence

framing insults as “observations” or “data

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- Include adjacent role titles (e.g. Cloud Engineer

Systems Engineer)?

[e.g. Security Engineer

Senior Security Engineer

Search for [job sector e.g. Cybersecurity Engineer

Senior DevOps Engineer] jobs posted in the last [Posting Window].

- Software Engineering: Python

Java

Then: Perform live

current searches only (no internal/training data or outdated knowledge). Pull the freshest postings matching my parameters below. Use the scoring system strictly. Prioritize ATS keyword alignment

Claude Code Skill (Slash Command): review-and-commit.md

Professionals

engineers

Domain Focus: Primarily software development

system architecture

- Use cases: Database schemas

API documentation

Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists

some variation is acceptable

Calculate the population standard deviation of this dataset: [12

15

- In your tags

you must explain:

Before finalizing your Python MCP server implementation

ensure:

- [ ] Tools enable complete workflows

not just API endpoint wrappers

async def query_data(query: str

ctx: Context) -> str:

metadata: Dict[str

Any]

Expose data as resources for efficient

template-based access: