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technical-orientation
Explain technical projects or codebases to a non-engineer. Use for "orient me" or "explain this repo".
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Explain technical projects or codebases to a non-engineer. Use for "orient me" or "explain this repo".
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Email triage and organization system for Gmail. Use when user asks to "triage my inbox", "check my email", "process emails", "what needs my attention", "inbox zero", or any request to organize, classify, or act on emails. Provides GTD-style processing with autonomous actions for clear-cut items and surfaced decisions for ambiguous ones. Creates newsletter digests, drafts replies, and suggests bulk unsubscribes.
Screen job candidates from Greenhouse using AI-powered evaluation. Use when asked to "screen candidates", "review applicants", "run candidate screening", "check new applications", or "evaluate candidates".
Review contracts, MSAs, SOWs, and NDAs. Verifies terms against internal context and delivers risk assessment.
Handle investor audit confirmations and quarterly portfolio reporting requests. Use when: (1) Email from auditor (PwC, KPMG, EY, CBIZ, Deloitte) requesting confirmation, (2) Investor asks for quarterly reporting (revenue, runway, cap table), (3) User asks to 'help with audits' or 'process audit requests', (4) Email contains 'audit confirmation' or 'investment confirmation'. Maps requests to standard company data and drafts accurate responses.
Deep verification agent that finds hidden errors in code, analysis, and architecture. Assumes nothing is correct, drills deep, and verifies every claim independently.
Expert advisor and thinking partner for strategic situations. Radically candid coaching.
SOC 직업 분류 기준
| name | technical-orientation |
| description | Explain technical projects or codebases to a non-engineer. Use for "orient me" or "explain this repo". |
Help a savvy but non-technical operator understand technical projects, codebases, tools, or documentation quickly and thoroughly.
A startup operator, founder, or business person who:
Before diving in, give a single sentence that captures what this thing IS:
"NullAgent is a framework for testing how well AI models perform at specific tasks, with real measurements instead of vibes."
"Replay Lab is the data infrastructure that feeds market data and charts to AI agents for evaluation."
For a codebase/repo:
1. Check the root README.md first
2. Look at package.json or equivalent for project structure
3. Read CLAUDE.md or AGENTS.md if present (AI context docs)
4. Scan the directory structure to understand organization
5. Read key documentation files
For documentation/tools:
1. Find the "what is this" or overview section
2. Identify the core concepts (usually 3-5)
3. Look for architecture diagrams
4. Find example use cases
Never use:
Always:
Tables over paragraphs for comparisons, features, or options:
| Component | What It Does | Why It Matters |
|---|---|---|
| agent-core | Runs AI agents | The engine that makes everything work |
| database | Stores conversation history | AI can "remember" across sessions |
ASCII diagrams for showing how pieces connect:
Data Source → Processing → API → Your Application
Bullet hierarchies for nested concepts:
For every component or concept, answer:
End with concrete next steps based on what they might want to do:
| If You Want To... | Do This |
|---|---|
| Just understand it | Read X, Y, Z docs |
| Try it yourself | Run these commands |
| Evaluate it | Compare against these criteria |
| Go deeper | Explore these files/concepts |
For any technical orientation, cover:
Ask clarifying questions if helpful:
But don't over-ask. Make reasonable assumptions and offer to go deeper.
User: "Orient me on this repo: https://github.com/example/cool-tool"
Response: