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Agent skill

Jhr Contribution Framing

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes…

MITAuto-check passedBusiness, Finance & HR

Install Jhr Contribution Framing

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhr-contribution-framing -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jhr-contribution-framing --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Human-Resources-Skills/skills/jhr-contribution-framing .claude/skills/jhr-contribution-framing && 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
jhr-contribution-framing
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
543 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes…

  • Sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics
  • SKILL.md covers When to trigger, Contribution formula, Must include and Reconciliation paragraph, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Credible design-based evidence

What it does

Jhr Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes translated into natural human-capital units, and explicit reconciliation with prior published estimates.

Its SKILL.md is about 1.3k 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 Business, Finance & HR, covering Accounting and bookkeeping and Recruiting and HR. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics
  • Credible design-based evidence
  • Public-policy relevance
  • Magnitudes translated into natural human-capital units

Example prompts

  • “/jhr-contribution-framing”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Jhr Contribution Framing loads about 1.3k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 543 words, ~1,302 tokens.

Download SKILL.mdSave it as .claude/skills/jhr-contribution-framing/SKILL.md (or your agent's skills folder).
name
jhr-contribution-framing
description
Use when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes translated into natural human-capital units, and explicit reconciliation with prior published estimates.

Contribution Framing (jhr-contribution-framing)

When to trigger

  • The paper has credible estimates but the JHR contribution is not obvious
  • The policy lesson is buried
  • The manuscript does not explain how it reconciles with prior work

Contribution formula

text
We study [policy-relevant empirical-micro question] using [data/design]. Relative
to [closest prior work], we [new variation/data/population/reconciliation] and
show [result with magnitude]. The findings matter for [policy or human-resource
outcome in the economics sense] because [mechanism].

Must include

  • Field: labor, education, health, development, discrimination, retirement, or adjacent empirical micro.
  • Credible design or disciplined descriptive contribution.
  • Magnitude and policy relevance.
  • Relationship to prior estimates.
  • Boundary conditions: population, time, institution, and external validity.

Reconciliation paragraph

JHR framing is strongest when the contribution paragraph does not merely say "we add evidence." Add a reconciliation sentence:

text
Our estimate differs from [prior estimate] because [sample/design/institution/period], and when we
re-estimate the prior specification on [shared sample or comparable sample], the gap narrows/widens in
the predicted direction.

If the paper cannot explain why its magnitude differs from prior work, the contribution is vulnerable even when the design is credible. Route to jhr-data-analysis for comparative estimation.

JHR claim stress test

Before finalizing the introduction, test the claim against four reviewer questions:

  • What is learned about human resources? Name the labor, education, health, family, retirement, inequality, discrimination, or development margin in economics terms.
  • Why is the estimate credible? State the design feature in one sentence without jargon.
  • Why is the magnitude meaningful? Translate the coefficient into dollars, months, percentile points, employment probability, schooling units, or another natural policy unit.
  • Why does it differ from prior work? Identify whether the difference is design, sample, institution, period, outcome construction, or policy context.

If the answer to any question requires an appendix table to be intelligible, the main contribution paragraph is not yet ready for JHR.

Magnitude translation menu

JHR contribution claims land when the coefficient is restated in the natural unit of the field, paired with a benchmark such as the control mean, cost per treated unit, or the closest prior estimate:

  • Labor: percentage-point employment changes, log wages converted to annual dollars, weeks of unemployment duration.
  • Education: test-score standard deviations, completion or enrollment percentage points, years of attainment.
  • Health: per-1,000 birth outcomes, coverage points, utilization counts.
  • Retirement: months of claiming delay, replacement-rate points.
  • Development: schooling years, height-for-age, household consumption.

A claim like "enrollment rose 4.2 percentage points off a 31 percent base, comparable to halving posted tuition" is doing the venue's work for the reader.

Show full SKILL.md (197 more words)Show less

Worked vignette: tuition-waiver framing

Illustrative paper: staggered adoption of community-college tuition waivers across 23 states, 2014-2019, linked administrative enrollment and earnings records, Callaway-Sant'Anna ATT. All numbers are placeholders for the pattern.

  • Draft claim: "We study the effect of tuition waivers on enrollment." Too thin for JHR — no magnitude, no policy unit, no reconciliation.
  • Reframed claim: "Waivers raise first-time enrollment by 4.2 percentage points (13 percent of base), concentrated in the bottom family-income quartile; prior cross-state OLS estimates near 1 point understate the effect because non-adopting states were already trending upward."
  • Boundary sentence: identified for adopting states' public two-year systems; spillovers to four-year colleges are bounded, not estimated.

Desk-screen contribution risks

Draft symptomWhy JHR balksRepair
"First to study X in setting Y"Setting novelty alone is not a contributionSay what the new variation identifies that prior settings could not
Sign-and-significance summaryJHR wants magnitudes a policymaker can useTranslate to natural units with a benchmark
No prior-estimate sentenceMisses the reconciliation expectationAdd the bridge sentence and cite the comparative table
Policy claim broader than the estimandExternal-validity overreach flagged by refereesScope to compliers or adopters and state what does not travel

Output format

text
[One-sentence contribution] ...
[Policy relevance] ...
[Prior-work reconciliation] ...
[Magnitude] ...
[Boundary] ...
[Next step] jhr-tables-figures

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Human-Resources-Skills/skills/jhr-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jhr Contribution Framing 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.

Jhr Contribution Framing compared with similar skills
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Jhr Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
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Jhr Identification Strategyfranklee16/academic-research-skills2231 repos~393Automated safety check: PassNone
Jhr Literature Positioningfranklee16/academic-research-skills2231 repos~376Automated safety check: PassNone
OdooLeoYeAI/openclaw-master-skills2.2k—~4.9kAutomated safety check: NotesMIT
OdooLeoYeAI/openclaw-master-skills2.2k—~5kAutomated safety check: NotesMIT

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Categories

Questions about Jhr Contribution Framing

What does Jhr Contribution Framing do?

A skill your agent uses when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes…. Jhr Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics, credible design-based evidence, public-policy relevance, magnitudes translated into natural human-capital units, and explicit reconciliation with prior published estimates.

When should I use Jhr Contribution Framing?

Jhr Contribution Framing fits situations like: sharpening the Journal of Human Resources (JHR) contribution claim around applied microeconomics; credible design-based evidence; public-policy relevance; magnitudes translated into natural human-capital units.

How do I install Jhr Contribution Framing in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhr-contribution-framing -a claude-code`. Or copy the skill folder (Journal-of-Human-Resources-Skills/skills/jhr-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jhr-contribution-framing in your project. Claude Code loads it when a task matches its description.

How do I install Jhr Contribution Framing in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhr-contribution-framing -a codex`. Or copy the skill folder (Journal-of-Human-Resources-Skills/skills/jhr-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jhr-contribution-framing in your project. Codex loads it when a task matches its description.

Can I use Jhr Contribution Framing 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 brycewang-stanford/Awesome-Journal-Skills --skill jhr-contribution-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jhr-contribution-framing, .gemini/skills/jhr-contribution-framing, .github/skills/jhr-contribution-framing and .opencode/skills/jhr-contribution-framing in your project.

What does Jhr Contribution Framing need to run?

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

Does Jhr Contribution Framing 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 Jhr Contribution Framing 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 Jhr Contribution Framing use?

Jhr Contribution Framing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jhr Contribution Framing use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Jhr Contribution Framing?

Skills that share tags, products or a category with Jhr Contribution Framing: Find Service Providers (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Jhr Identification Strategy (franklee16/academic-research-skills, 223 stars), Jhr Literature Positioning (franklee16/academic-research-skills, 223 stars) and Odoo (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jhr Contribution Framing?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.