Agent skill · Documentation

cte-mechanism

Use when designing or writing mechanism analyses for a 《财贸经济》 empirical manuscript. Mechanism tests that open the "policy black box" and land on identifiable channels are near-mandatory for empirical submissions. 本技能服务于《财贸经济》(Finance & Trade Economics, CTE)。

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cte-mechanism --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: Finance-and-Trade-Economics-Skills/skills/cte-mechanism/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
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

# 机制分析(cte-mechanism) ## 触发时机 - 主回归结果已稳健,但缺机制分析("机制黑箱"是本刊退稿雷区之一) - 机制只有"我们认为可能是因为企业……"的口头说明 - 审稿人问"为什么这项财税 / 金融 / 贸易政策会有这个效应?" ## 财经研究的机制必须落到可识别渠道 《财贸经济》忌讳机制停留在宏观口号("促进了高质量发展")。机制变量应落到**企业 / 银行 / 地方政府 / 居民 / 市场**的可观测行为或资源配置上,例如: - 企业行为:投资、研发、雇佣、融资结构、税负与现金流、出口决策 - 金融中介:信贷投放、风险定价、期限结构、不良率、流动性 - 财政 / 地方政府:支出结构、举债、土地财政、征管努力 - 居民 / 消费:收入结构、储蓄与消费、预防性动机、资产配置 - 市场层面:价格、市场进入退出、要素配置效率、市场一体化程度 ## 三种主流路径 ###

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About this skill
What does the cte-mechanism skill do?

Use when designing or writing mechanism analyses for a 《财贸经济》 empirical manuscript. Mechanism tests that open the "policy black box" and land on identifiable channels are near-mandatory for empirical submissions. 本技能服务于《财贸经济》(Finance & Trade Economics, CTE)。

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cte-mechanism --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 brycewang-stanford/Awesome-Journal-Skills, a repository with 909 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.

Keep going