Performance Review Writer
github/awesome-copilot
Draft performance reviews, self-assessments, peer reviews, and upward feedback in your own voice.
A skill your agent uses when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration…
Install Jeg Rebuttal
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttal --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Economic-Growth-Skills/skills/jeg-rebuttal .claude/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.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/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .claude/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal .agents/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .agents/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal .cursor/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .cursor/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal .gemini/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .gemini/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal .github/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .github/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-rebuttal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal .opencode/skills/jeg-rebuttal && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jeg-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal into .opencode/skills/jeg-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jeg-rebuttal", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jeg-rebuttal- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 558 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration…
- Works in 5 steps: Fit and contribution: growth mechanism… → Theory: assumptions, equilibrium,… → Empirics: identification, sample,… → …
- Responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms
- SKILL.md covers When to trigger, Triage, Response strategy and Revision evidence map, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jeg Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration sensitivity, data availability, and Springer revision files.
Its SKILL.md is about 1.2k 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 Performance reviews and Peer review. 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
- Responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms
- Model assumptions
- Empirical identification
- Calibration sensitivity
Example prompts
- “/jeg-rebuttal”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Fit and contribution: growth mechanism not clear enough.
- Theory: assumptions, equilibrium, dynamics, comparative statics, or proofs.
- Empirics: identification, sample, robustness, historical measurement, or
- Calibration/simulation: parameter sources, targeted moments, sensitivity,
- Policy and files: data availability, declarations, source files.
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
Jeg Rebuttal loads about 1.2k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 558 words of instructions outside code blocks.
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). 558 words, ~1,192 tokens.
Download SKILL.mdSave it as
.claude/skills/jeg-rebuttal/SKILL.md (or your agent's skills folder).- name
- jeg-rebuttal
- description
- Use when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration sensitivity, data availability, and Springer revision files.
R&R Rebuttal (jeg-rebuttal)
When to trigger
- A JEG revision decision has arrived
- Referees request stronger growth framing, theory, empirics, or calibration
- You need a response letter and aligned manuscript changes
Triage
- Fit and contribution: growth mechanism not clear enough.
- Theory: assumptions, equilibrium, dynamics, comparative statics, or proofs.
- Empirics: identification, sample, robustness, historical measurement, or external validity.
- Calibration/simulation: parameter sources, targeted moments, sensitivity, transition paths.
- Policy and files: data availability, declarations, source files.
Response strategy
- Lead with the editor's synthesis and the highest-value changes.
- Add quantitative sensitivity where a calibration concern is central.
- Add comparative estimates where empirical growth literature raises conflicting results.
- Narrow claims when model or data scope is local.
- Update source files and declarations alongside the manuscript.
Revision evidence map
For each major referee concern, identify the evidence type:
- Mechanism concern -> new model intuition paragraph, proposition, or transition-path figure.
- Assumption concern -> relaxed-assumption result, proof clarification, or sensitivity table.
- Empirical concern -> identification diagnostic, alternative sample, or comparative estimate.
- Calibration concern -> parameter-source table plus one-at-a-time and joint sensitivity.
- Data concern -> Data Availability Statement, code archive, source-file update, or access note.
The response letter should show which evidence changed the manuscript, not just where text was added.
JEG referee objection playbook
Map the objections most common at this journal to their accepted repairs:
- "Spatial autocorrelation inflates your significance" → recompute Conley SEs at several distance cutoffs, add a spatially correlated placebo distribution, and put both in the revised table notes — not only in the letter.
- "The exclusion restriction is implausible" → confront each published alternative channel for the instrument, control for those channels directly, and add an over-identification or bounding exercise rather than restating the assumption with more conviction.
- "Persistence with no mechanism" → bring intermediate-period outcomes, a decomposition, or a model section, and promote the mechanism evidence to a main exhibit.
- "Calibration moments look cherry-picked" → add untargeted-moment validation plus one-at-a-time and joint sensitivity; tabulate every parameter's source.
- "The country sample is too selective for a growth claim" → expand or re-weight the sample and bound the claim's scope explicitly in abstract and conclusion.
- "This is not about growth" → reframe around divergence, convergence, or transition dynamics; growth editors rarely accept a fit defense made by assertion.
Show full SKILL.md (192 more words)Show less
Worked vignette — answering a spatial-inference objection
Illustrative R&R: Referee 2 argues the headline t-statistic of 4.8 on a persistence coefficient is an artifact of spatial correlation. The response that works:
- Recompute Conley SEs at 100/250/500 km: t falls to 3.6/3.2/3.1 — significance survives; all three appear in the revised Table 2 notes.
- Generate 1,000 spatial-noise placebo treatments with a matched correlation range; the true coefficient sits above the 99th percentile of the placebo distribution (illustrative).
- Add macro-region fixed effects; the coefficient moves from 0.21 to 0.18, inside the original confidence band.
- Letter structure: quote the concern, give the three numbers, point to the exact revised table and figure, and state what changed in the text — two paragraphs, zero defensiveness.
Letter discipline for this venue
- When concerns overlap across referees, order responses by growth substance — fit, mechanism, identification, calibration — and cross-reference instead of duplicating analyses under each referee number.
- Quantify every concession: if the claim is narrowed, show the revised abstract sentence verbatim.
- Fold every new analysis into the replication package and say so in the letter; at a venue this data-disciplined, revision credibility extends to the artifacts.
Output format
[Decision] major / minor
[Main growth concern] ...
[New analyses/proofs] ...
[Sensitivity/robustness] ...
[Manuscript locations] ...
[Next step] resubmit through Springer portal© 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-Economic-Growth-Skills/skills/jeg-rebuttal of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jeg Rebuttal 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jeg Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Performance Review Writergithub/awesome-copilot | 40k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Video Description Oversightcalesthio/generative-media-skills | 197 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Quark Onnx Doc Drift Checkamd/Quark | 182 | — | ~3k | Automated safety check: Pass | MIT | |
| Bio Clinical Databases Polygenic RiskGPTomics/bioSkills | 1.2k | 2 repos | ~7.4k | Automated safety check: Pass | MIT | |
| Bio Clinical Databases Tumor Mutational BurdenGPTomics/bioSkills | 1.2k | 2 repos | ~6.9k | Automated safety check: Pass | MIT |
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Questions about Jeg Rebuttal
What does Jeg Rebuttal do?
A skill your agent uses when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration…. Jeg Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration sensitivity, data availability, and Springer revision files.
When should I use Jeg Rebuttal?
Jeg Rebuttal fits situations like: responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms; model assumptions; empirical identification; calibration sensitivity.
How do I install Jeg Rebuttal in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a claude-code`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jeg-rebuttal in your project. Claude Code loads it when a task matches its description.
How do I install Jeg Rebuttal in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal -a codex`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jeg-rebuttal in your project. Codex loads it when a task matches its description.
Can I use Jeg Rebuttal 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 jeg-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jeg-rebuttal, .gemini/skills/jeg-rebuttal, .github/skills/jeg-rebuttal and .opencode/skills/jeg-rebuttal in your project.
What does Jeg Rebuttal need to run?
SKILL.md names no scripts, command-line tools or credentials: Jeg Rebuttal is instructions for the agent only.
Does Jeg Rebuttal 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 Jeg Rebuttal 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 Jeg Rebuttal use?
Jeg Rebuttal 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 Jeg Rebuttal use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Jeg Rebuttal?
Skills that share tags, products or a category with Jeg Rebuttal: Performance Review Writer (github/awesome-copilot, 40k stars), Video Description Oversight (calesthio/generative-media-skills, 197 stars), Quark Onnx Doc Drift Check (amd/Quark, 182 stars) and Bio Clinical Databases Polygenic Risk (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jeg Rebuttal?
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.