“Prompt engineering”

LLM application architecture expert for RAG, prompting, agents, and production AI systemsUse when "rag system, prompt engineering, llm application, ai agent…

Engineering standards and reusable prompts for working in a plankit repository - load the standards, or run a named prompt

Creates a manager-facing weekly engineering outcomes brief as a one-page PDF after a research-informed interview.

Build AI-powered applications with LLMs, embeddings, RAG systems, and AI agents.

Implements, debugs, fixes, refactors, and reviews code.

Benchmark and compare system prompt variants (V2/V2a/V2b/V2c) for Sheets Chat by running test scenarios through the real GAS-side ClaudeConversation pipeline.

AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計

Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps.

Use when optimizing GEMINI.md, AGENTS.md, system prompts, custom slash commands, or skill files.

Transform user requests into detailed, precise prompts for AI models.

Implement repository changes safely and completely.

Core technical, safety, and maintainability rules for codebase edits.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems.

Social engineering testing - phishing, pretexting, vishing, and physical security assessment techniques.

Review a diff of this repository as a QA engineer: test quality (coverage, test-faking code, swallowed exceptions, conditional logic in tests, hardcoded…

Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show.

Language Server Protocol specialist building unified code intelligence systems through LSP client orchestration and semantic indexing.

Reference manual for Python project layout, uv dependencies, static checks, tests, packaging, and CI conventions.

Use when the user has typed a short or vague prompt and the system is configured to expand prompts before submission, or when the user explicitly invokes…

Static and dynamic reverse engineering — ELF/PE analysis, custom-VM bytecode, packed binaries, anti-debug bypass, Frida hooking.

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration…

Engineer growth systems: PLG motions, referrals, viral and retention loops.

Use when the user shares a raw, vague, or first-draft prompt and wants it clarified, tightened, strengthened, or made more reliable — or asks to improve…