Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Jeg Contribution Framing

ASecurity

Use when articulating the marginal contribution of a manuscript to the Journal of Economic Growth (JEG) — sharpening what the paper adds to economic-growth knowledge, calibrated to a specialist Springer Nature theory-and-empirics outlet. Turns "a paper about X" into "the first result that Y."

1,052 stars
0 votes
0 copies
0 views
Added 6/5/2026
ai-agentsspringapi

Works with

api

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-contribution-framing --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Jeg Contribution Framing?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Jeg Contribution Framing
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-jeg-contribution-framing/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-jeg-contribution-framing)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: jeg-contribution-framing
description: Use when articulating the marginal contribution of a manuscript to the Journal of Economic Growth (JEG) — sharpening what the paper adds to economic-growth knowledge, calibrated to a specialist Springer Nature theory-and-empirics outlet. Turns "a paper about X" into "the first result that Y."
---

# Contribution Framing (jeg-contribution-framing)

## When to trigger

- The introduction explains what you did but not why it matters for growth
- You cannot state the contribution in one sentence without hedging
- A co-author asks "what's the one thing a reader remembers?"

## The JEG contribution bar

JEG is a specialist outlet, so the contribution must be a genuine advance **in understanding growth or dynamic-macro dynamics**, not a technique demonstration or a within-field estimate that mentions growth. The journal values both:

- **Theoretical contributions** — a new mechanism, a more general result, a unification of mechanisms, a resolution of a tension in existing growth models, or a tractable model that delivers a sharp, testable growth prediction.
- **Empirical contributions** — credible evidence on a growth-relevant causal channel, a new long-run or cross-country dataset that resolves a measurement gap, or a test that discriminates between competing growth theories.

## Frame the contribution

1. **One-sentence claim.** "We show that [growth mechanism / determinant] [does what], which [overturns / generalizes / first-quantifies] [the standard account]."
2. **Type-tag it.** New mechanism? More general theorem? New identification? New data? Quantitative magnitude? Be specific; JEG referees discount vague "we contribute to the literature."
3. **Bound it honestly.** State the scope of the claim — which economies, which period, which assumptions. Specialist referees punish overreach harder than modest scope.
4. **Connect to the growth debate.** Say which live question the result moves (sources of cross-country income gaps, the demographic transition, the growth effect of institutions/human capital/trade/finance).

## Theory vs empirics calibration

- **Theory paper**: lead with the mechanism and its generality; the contribution is the *result and its reach*, not the algebra. Note what comparative statics or testable predictions it yields.
- **Empirical paper**: lead with the credibly identified magnitude and what it teaches about the mechanism; the contribution is the *answer to a growth question*, not the regression table.

## Anti-patterns

- "We are the first to study X in country Y" with no growth mechanism at stake.
- Claiming a general theorem while the result hinges on a knife-edge assumption.
- Selling a method (a new estimator, a new model class) as the contribution when JEG wants the *growth insight* it buys.
- Listing three weak contributions instead of one strong one.

## Output format

```
【One-sentence contribution】"We show that ..."
【Type】new mechanism / general result / new identification / new data / magnitude
【Scope bound】economies / period / assumptions
【Debate moved】which growth question
【Next skill】jeg-identification-strategy
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

651 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →