Agent skill

Mw Identification

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese…

No licenceAuto-check passedResearch & Science

Install Mw Identification

skills CLI
$ npx skills add franklee16/academic-research-skills --skill mw-identification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install franklee16/academic-research-skills mw-identification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Management-World-Skills/skills/mw-identification .claude/skills/mw-identification && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mw-identification
GitHub stars
223
Used in
1 other repo
Token cost
~411 tokens
SKILL.md length
131 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese…

  • Works in 7 steps: 政策冲击 + DID(含 staggered / continuous… → 断点回归(清晰的政策门槛) → 工具变量(强工具 + 排他性论证) → …
  • The empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID
  • SKILL.md covers 触发时机, 设计优先级, 分支路径 and 必查清单, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mw Identification is an agent skill from franklee16/academic-research-skills. Use when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese policy shocks. Stress-tests the design before drafting tables.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Load testing and Experimental design. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • The empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID
  • Event study) with Chinese policy shocks

Example prompts

  • “/mw-identification”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. 政策冲击 + DID(含 staggered / continuous treatment)
  2. 断点回归(清晰的政策门槛)
  3. 工具变量(强工具 + 排他性论证)
  4. 倾向得分匹配 + DID
  5. 合成控制法
  6. 双重机器学习 / 因果森林
  7. OLS + 内生性讨论(容易退稿)

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mw Identification loads about 411 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~411

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 131 words (~411 tokens).

name
mw-identification

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Journal-of-Management-World-Skills/skills/mw-identification of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Mw Identification next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mw Identification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mw Identification this skillfranklee16/academic-research-skills2231 repos~411Automated safety check: PassNone
Academic GrillExekiel179/psyclaw103—~2kAutomated safety check: PassMIT
Cte Identificationbrycewang-stanford/Awesome-Journal-Skills1.2k—~866Automated safety check: PassMIT
Ecj Identificationbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.8kAutomated safety check: PassMIT
Er Identificationbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss1.9k22 repos~5.9kAutomated safety check: NotesMIT

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Questions about Mw Identification

What does Mw Identification do?

A skill your agent uses when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese…. Mw Identification is an agent skill from franklee16/academic-research-skills. Use when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese policy shocks.

When should I use Mw Identification?

Mw Identification fits situations like: the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID; event study) with Chinese policy shocks.

How do I install Mw Identification in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill mw-identification -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Management-World-Skills/skills/mw-identification in franklee16/academic-research-skills) into .claude/skills/mw-identification in your project. Claude Code loads it when a task matches its description.

How do I install Mw Identification in Codex?

Run `npx skills add franklee16/academic-research-skills --skill mw-identification -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Management-World-Skills/skills/mw-identification in franklee16/academic-research-skills) into .agents/skills/mw-identification in your project. Codex loads it when a task matches its description.

Can I use Mw Identification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add franklee16/academic-research-skills --skill mw-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mw-identification, .gemini/skills/mw-identification, .github/skills/mw-identification and .opencode/skills/mw-identification in your project.

What does Mw Identification need to run?

SKILL.md names no scripts, command-line tools or credentials: Mw Identification is instructions for the agent only.

Does Mw Identification access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mw Identification safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mw Identification use?

No licence was found for Mw Identification or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Mw Identification use?

About 411 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mw Identification?

Skills that share tags, products or a category with Mw Identification: Academic Grill (Exekiel179/psyclaw, 103 stars), Cte Identification (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Ecj Identification (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Er Identification (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mw Identification?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.