「engineering」の検索結果

AI-assisted development, testing, and reverse engineering through structured agent collaboration

日本語の概要は準備中です。原文の説明を表示しています。

代码仓库 AI 亲和度审计工具，支持前端、后端、全栈等各类项目。此技能用于检查给定的代码仓库对 AI Coding 工具的友好程度，生成详细的分析报告和改进建议。当用户需要评估代码仓库是否适合 AI 辅助开发、希望提升仓库的 AI 可操作性、或准备引入 AI Coding 工具前进行仓库评估时，应使用此技能。支持 TypeScript/JavaScript、Go、Java/Kotlin、Python、Rust 等主流技术栈。融合 OpenAI Harness Engineering 方法论，评估 Outer Loop（反馈闭环、评估门禁、机械化不变量）建设。

日本語の概要は準備中です。原文の説明を表示しています。

Code mode operational spec for the team lead. Returns lead identity, facilitator identity, mode-specific rules, suggest-members guidance, and phase arc for code-mode teams.

日本語の概要は準備中です。原文の説明を表示しています。

Optimize prompts for code-related tasks following prompt-engineering best practices. Use when refining prompts for implementation, debugging, refactoring, code review, or testing.

日本語の概要は準備中です。原文の説明を表示しています。

Write a kolu blog post grounded in the real build history — mine the Claude Code session logs behind a feature for the actual story (for large efforts, fan out over the transcripts with an ultracode workflow), draft it in the author's voice, and wire it into the Astro site. Use when asked to write a blog post or engineering essay about something that was built, especially one that should read as a narrative of what actually happened rather than invented marketing copy.

日本語の概要は準備中です。原文の説明を表示しています。

Network-engineering audit playbook for the RIPDPI Android app: VpnService, TUN-to-SOCKS, Rust data plane, DNS, TLS/QUIC strategy, relays, and diagnostics. Use for RIPDPI app network reviews or protocol/VPN architecture audits.

日本語の概要は準備中です。原文の説明を表示しています。

Dirigent jednoho workflow kontraktu ve svém super.engineering worktree — deleguje implementaci na subagenta, mezi fázemi pouští wf-gate, review předá skill wf-review, otevře draft PR (guardovaný), vyřeší komentáře, spustí UAT. Použij, když task session říká, že se má kontrakt provést přes wf-impl.

日本語の概要は準備中です。原文の説明を表示しています。

Řídící pult pro workflow kontrakty — zjisti reálný stav, naplánuj (DAG, kolize, resume), nech uživatele vybrat a spusť jeden super.engineering worktree na každý vybraný kontrakt. Vyvolání téhle skill JE uživatelova výslovná žádost o vytvoření worktree pro vybrané kontrakty.

日本語の概要は準備中です。原文の説明を表示しています。

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say "system prompt". Covers all use cases including chatbots, agentic systems, tool-use workflows, content generation, data extraction, code assistants, and multi-turn conversations.

日本語の概要は準備中です。原文の説明を表示しています。

CVS Health engineering with integrated healthcare delivery across pharmacy, insurance (Aetna), and retail clinics. Triggers: 'CVS style', 'healthcare integration', 'pharmacy systems', 'Aetna', 'MinuteClinic'.

日本語の概要は準備中です。原文の説明を表示しています。

Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling. Use when asked to "build a dashboard", "design a metric", "write a report", or "audit our analytics".

日本語の概要は準備中です。原文の説明を表示しています。

Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".

日本語の概要は準備中です。原文の説明を表示しています。

Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".

日本語の概要は準備中です。原文の説明を表示しています。

Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".

日本語の概要は準備中です。原文の説明を表示しています。

Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"

日本語の概要は準備中です。原文の説明を表示しています。

Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".

日本語の概要は準備中です。原文の説明を表示しています。

Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".

日本語の概要は準備中です。原文の説明を表示しています。

Head of product — orchestrate the product team, write briefs, plan initiatives, hand off to Apex. Use when asked to "write a product brief", "plan the roadmap", "decide what to build", or hand off requirements to engineering.

日本語の概要は準備中です。原文の説明を表示しています。

Scope arbitration — resolve disagreements between product and engineering on what is in or out of scope, with a decision log and escalation path. Use when asked to "resolve this scope disagreement", "arbitrate between product and eng", "scope is creeping", "we can't agree on what's in scope", or "help us decide what to cut".

日本語の概要は準備中です。原文の説明を表示しています。

Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".

日本語の概要は準備中です。原文の説明を表示しています。

Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status. Use when asked about "data quality check", "pipeline health", "is our data fresh", or "schema drift".

日本語の概要は準備中です。原文の説明を表示しています。

Data engineer — databases, migrations, pipelines, schema design, and query optimization. Use when asked to "design a schema", "write a migration", "build a data pipeline", or "optimize this query".

日本語の概要は準備中です。原文の説明を表示しています。

Build production-grade infrastructure as code for a service or project. Use when asked to "set up infra", "provision infrastructure", "create cloud resources", "IaC for this project", "terraform for this", or "deploy this service".

日本語の概要は準備中です。原文の説明を表示しています。

Optimize slow database queries — analyze execution plans, add indexes, rewrite queries. Use when asked about "slow query", "optimize SQL", "query performance", or "explain this query".

日本語の概要は準備中です。原文の説明を表示しています。