research-to-decision 是做什么的？
将研究转化为可审计的技术或产品决策：明确决策和约束条件，收集带来源的证据，区分证据与假设，根据明确的标准比较替代方案，并生成架构决策记录（ADR）。在以下场景中使用：选择技术或方法时（如“Kafka vs SQS”、“自建 vs 购买”），需要记录已做出决策背后的推理依据时，或者当被要求“研究这个并推荐一个”时。
不要在以下场景中使用：实施所选方案（那是另一项技能的任务），或者进行没有最终决策目标的开放式研究。
将研究转化为可审计的技术或产品决策：明确决策和约束条件，收集带来源的证据，区分证据与假设，根据明确的标准比较替代方案，并生成架构决策记录（ADR）。
该技能旨在帮助用户将研究过程系统化地转化为结构化的可审计决策。它首先要求用户清晰定义决策问题和约束条件，然后引导用户收集带有可靠来源的证据，并严格区分客观证据与主观假设。接着，根据预先设定的明确标准对多个替代方案进行对比分析，最终输出一份标准的架构决策记录（ADR）。 该技能特别适用于在技术选型（如“Kafka vs SQS”）或产品策略（如“自建 vs 购买”）时进行理性比较，也适用于为已做出的决策补充正式的推理文档。它不支持实施所选方案（那属于另一项技能），也不适用于没有明确决策目标的开放式研究。主要支持平台包括Claude Code、Cursor等AI Agent工具。
npx skills add https://github.com/alphasafal/production-agent-skills/tree/main/skills/research-to-decision将研究转化为可审计的技术或产品决策：明确决策和约束条件，收集带来源的证据，区分证据与假设，根据明确的标准比较替代方案，并生成架构决策记录（ADR）。在以下场景中使用：选择技术或方法时（如“Kafka vs SQS”、“自建 vs 购买”），需要记录已做出决策背后的推理依据时，或者当被要求“研究这个并推荐一个”时。
不要在以下场景中使用：实施所选方案（那是另一项技能的任务），或者进行没有最终决策目标的开放式研究。
This repo contains 7 individual skills — each has its own dedicated page.
Runs an end-to-end structured tabular data science workflow: problem framing, schema/leakage/missingness checks, EDA, baseline before modeling, feature engineering, model comparison against the baseline, and error/slice analysis. Use when asked to analyze a dataset, build a predictive model, evaluate a model's performance, or investigate a data quality issue in tabular data. Do not use for pure data engineering/ETL with no analysis or modeling question, for unstructured data (images/audio/free text at scale) without a tabular framing, or when the task is answerable by a single summary statistic with no need for the full workflow — say so and just answer it.
Agent skill 'debugging-investigator' from alphasafal/production-agent-skills.
Agent skill 'feature-to-production' from alphasafal/production-agent-skills.
Agent skill 'production-code-review' from alphasafal/production-agent-skills.
Agent skill 'product-manager' from alphasafal/production-agent-skills.
Agent skill 'repo-architect' from alphasafal/production-agent-skills.
Agent skill 'system-design-reviewer' from alphasafal/production-agent-skills.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".