Agent skill

t-tech-research

Assess technical feasibility for a feature. Scans codebase, checks dependencies, researches libraries, and writes a structured report under .ai/tech-research/.

timzaak55★ · 1 repos on radarProfile →
claude-codecan modify filesApache-2.0
Install
npx skills add timzaak/web-dev-skills --skill t-tech-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: -AskUserQuestion-Read-Glob-Grep-Task-Write
Path: skills/t-tech-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 55
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 需求技术预研 运行时边界统一参考：`${CLAUDE_PLUGIN_ROOT}/protocols/runtime-boundaries.md` 需求来源边界统一参考：`${CLAUDE_PLUGIN_ROOT}/protocols/requirement-source-contract.md` 跨阶段决策连续性和用户决策暴露统一参考：`${CLAUDE_PLUGIN_ROOT}/protocols/decision-continuity-contract.md` ## 目标 基于 Decision Brief、用户需求、已有 PRD / user story（如存在）和现有代码库，评估技术可行性、依赖缺口、代码影响范围和关键风险，生成报告供 `/t-prd` 创建或更新草稿，或供纯技术方案 `/t-design` 参考。 会影响技术路线、依赖选择、范围边界、兼容性、成本/风险结论、P

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About this skill
What does the t-tech-research skill do?

Assess technical feasibility for a feature. Scans codebase, checks dependencies, researches libraries, and writes a structured report under .ai/tech-research/.

How do I install it?

Run `npx skills add timzaak/web-dev-skills --skill t-tech-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From timzaak/web-dev-skills, a repository with 55 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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