Research spikes

Skill lzx-Bill/Project-Factory-Core/.agents/skills/research-spikes

Use when doing competitor analysis, feasibility analysis, technical spikes, benchmarking, option comparison, or evidence gathering. Trigger when user says "research", "spike", "feasibility", "competitor analysis", "benchmark", "compare options", "technical evaluation", "does X work for Y", or asks "should we use A or B". Also use proactively when architecture decisions depend on unverified technical assumptions.From its SKILL.md

Install

npx -y skills add lzx-Bill/Project-Factory-Core --skill research-spikes

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SKILL.md

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Research Spikes

用于调研和技术验证。

When to Use

需要做竞品或参考方案调研
需要做小实验验证技术可行性
需要为方案选择收集证据
架构决策前需要验证技术假设

Input

来源	内容
用户消息	研究问题、技术选型困惑、竞品名称
当前项目	architecture.md（如有候选方案）、assumptions.md（技术假设）

Output Schema

文件	类型	说明
`wiki/02-research/market-notes.md`	市场/竞品笔记	竞品对比、差异化机会、市场洞察
`wiki/02-research/technical-spikes.md`	技术验证	Spike 记录：背景 + 方法 + 结果 + 结论

Minimum Viable Output

technical-spikes.md 含 ≥1 个 Spike，含背景、方法、结论
market-notes.md 含 ≥3 个竞品或参考方案的对比要点

Complete Output

technical-spikes.md：每个 Spike 含置信度（高/中/低）、适用边界、下一步验证计划
market-notes.md：完整的竞品矩阵、优缺点对比、差异化机会
含对 architecture-decisions 的直接推荐

Dependencies

类型	说明
前置	`assumptions-tracking`（识别需要验证的技术假设）
后置	`architecture-decisions`（研究结论输入架构）、`risk-register`（研究发现的风险）
并行	无

Procedure

先确认目标项目根目录，并将调研与验证结果写入该项目目录
优先找仓库内事实，再补外部证据
对每个结论标注置信度
输出时带上下一步验证动作

Enriched Behavior

不只给结论，还要给证据来源、适用边界、未覆盖部分和下一步建议
可以并行展开竞品、技术可行性、实现成本、团队适配度等多个方向，只要最终有结构化沉淀
当外部信息不足时，可以先形成验证计划和假设，不必因为缺少完美证据而停住
输出应该帮助用户做取舍，而不是堆砌资料摘录

Target Pages

<项目根目录>/wiki/02-research/market-notes.md（主）
<项目根目录>/wiki/02-research/technical-spikes.md（主）

页面归属说明

页面	主负责	辅参与
market-notes.md	research-spikes	overview-framing（市场洞察）
technical-spikes.md	research-spikes	architecture-decisions（技术选型输入）

Changelog

日期	变更	原因
2026-04-26	增强：新增 Input/Output Schema、Dependencies、Min/Complete Output 两级标准、页面归属表、Changelog	统一 skill 结构，强化 Spike 的结构化输出要求

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.