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A skill your agent uses when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK /…
Install Aejmac Theory Model
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-theory-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-theory-model --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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .claude/skills/aejmac-theory-model && 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 "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .claude/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-modelType 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 aejmac-theory-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-theory-model --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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .agents/skills/aejmac-theory-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .agents/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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 aejmac-theory-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-theory-model --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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .cursor/skills/aejmac-theory-model && 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 "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .cursor/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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 AEJ-Macroeconomics-Skills/skills/aejmac-theory-model--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 aejmac-theory-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-theory-model --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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .gemini/skills/aejmac-theory-model && 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 "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .gemini/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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 aejmac-theory-modelInstalls 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 aejmac-theory-model -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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .github/skills/aejmac-theory-model && 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 "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .github/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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 aejmac-theory-model -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 aejmac-theory-model --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/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model .opencode/skills/aejmac-theory-model && 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 "aejmac-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-theory-model into .opencode/skills/aejmac-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-theory-model", 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
aejmac-theory-model- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 642 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK /…
- The quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE
- SKILL.md covers When to trigger, The AEJ: Macro model bar, Discipline paths and Checklist, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Heterogeneous-agent (HANK / Aiyagari-Bewley)
What it does
Aejmac Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK / Aiyagari-Bewley), or structural estimation — and calibration, parameter identification, solution accuracy, or counterfactual validity need discipline. For empirical shock identification see aejmac-identification.
Its SKILL.md is about 1.4k 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. 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
- The quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE
- Heterogeneous-agent (HANK / Aiyagari-Bewley)
- Structural estimation — and calibration
- Parameter identification
Example prompts
- “/aejmac-theory-model”
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
Aejmac Theory Model loads about 1.4k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 642 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). 642 words, ~1,448 tokens.
Download SKILL.mdSave it as
.claude/skills/aejmac-theory-model/SKILL.md (or your agent's skills folder).- name
- aejmac-theory-model
- description
- Use when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK / Aiyagari-Bewley), or structural estimation — and calibration, parameter identification, solution accuracy, or counterfactual validity need discipline. For empirical shock identification see aejmac-identification.
Quantitative Theory & Model Discipline (aejmac-theory-model)
When to trigger
- Parameters are calibrated or estimated but it is unclear what disciplines each one
- A DSGE/HANK model is solved but the solution method / accuracy is unstated
- A counterfactual or welfare number is reported with no validity argument (Lucas critique)
- Untargeted moments are never shown, so the model's fit is asserted not demonstrated
- You are unsure the model clears AEJ: Macro's quantitative-discipline bar
The AEJ: Macro model bar
AEJ: Macro welcomes quantitative-theoretical macro, but the standard is discipline, not decoration: a calibration or structural estimate must be tied to data, the solution must be accurate enough for the claim, and the counterfactual must be defensible. The model exists to deliver a broad-interest macro quantity (a multiplier, a welfare cost, a share of inequality, a propagation magnitude), not to display machinery.
Discipline paths
Path A: Calibration discipline
- Source every parameter. Externally calibrated (cited micro/macro estimates) vs. internally calibrated (matched to targeted moments) — label each and give the target.
- Targeted moments table. Show data vs. model on the moments you matched.
- Untargeted-moment validation. Show the model matches moments it was not asked to match — this is the credibility payoff for calibration.
- Sensitivity. Report how the headline quantity moves with the key parameters (and which moment moves which parameter).
Path B: Structural estimation discipline
- Name what identifies each parameter — the data feature / moment, not "the likelihood." Report a sensitivity / informativeness measure (e.g., a sensitivity matrix) so readers see which data move which parameter.
- Estimator stated (MLE / GMM / SMM / indirect inference / Bayesian) with priors (if Bayesian), starting values, tolerances, and multi-start evidence of a global enough optimum.
- Monte Carlo recovery: simulated data return the true parameters.
Path C: Solution accuracy & numerics
- State the solution method (perturbation order, projection, value-function iteration, sequence-space Jacobian for HANK) and why it suffices for the nonlinearity/size of shock studied.
- For occasionally-binding constraints (ZLB, borrowing limits) or large shocks, justify global vs. local methods.
- Report accuracy diagnostics (Euler-equation errors, grid/refinement checks) where the claim depends on accuracy.
- Set and report seeds for any simulation.
Path D: Counterfactual & welfare validity
- Argue the estimated/calibrated parameters are policy-invariant enough for the counterfactual (Lucas critique); show they are not functions of the policy you change.
- State the welfare metric (consumption-equivalent, etc.) and carry uncertainty into the counterfactual quantity.
- For HANK: be explicit about the distributional channel and the role of the MPC distribution / liquidity.
Show full SKILL.md (246 more words)Show less
Checklist
- Every parameter labeled external vs. internal, with its source/target
- Targeted-moment fit shown; untargeted-moment validation shown
- Structural: each parameter tied to identifying moments; sensitivity + Monte Carlo recovery
- Solution method named and justified for the nonlinearity/shock size; accuracy diagnostics where needed
- Seeds reported; numerics reproducible for the AEA Data Editor (simulation code counts)
- Counterfactual: policy-invariance argued; welfare metric stated with uncertainty
- The model delivers one memorable, broad-interest macro quantity
Anti-patterns
- "We calibrate to standard values" with no targets and no sensitivity
- Reporting targeted-moment fit only, never untargeted moments (fit asserted, not validated)
- A first-order perturbation used to study a large nonlinear shock (ZLB, big crisis) without justification
- A welfare/counterfactual number with no policy-invariance argument
- Treating estimation convergence as identification ("the optimizer found a minimum")
- A model with rich machinery but no headline macro quantity a general reader remembers
Worked vignette: disciplining a HANK fiscal multiplier (illustrative)
A HANK model reports a fiscal multiplier of 1.3. A referee asks what disciplines it. The AEJ: Macro answer ties the multiplier to the MPC distribution: the model is calibrated to match the empirical distribution of MPCs (targeted), and then matches the untargeted share of hand-to-mouth households and the consumption response to a transfer from independent micro evidence. A sensitivity check shows the multiplier moves from 1.1 to 1.5 as the liquid-wealth target varies over its empirical range — making visible that the multiplier is governed by liquidity, not a free parameter. Solution by sequence-space Jacobian; Euler-error diagnostics reported (illustrative).
Output format
【Model type】NK-DSGE / HANK / Aiyagari-Bewley / structural-estimation
【Headline quantity】... (with units)
【Parameter discipline】external vs. internal; targeted + untargeted moments
【Identification (structural)】moment ↔ parameter; sensitivity; MC recovery
【Numerics】solution method + why it suffices; accuracy diagnostics; seeds
【Counterfactual validity】policy-invariance + welfare metric + uncertainty
【Next step】aejmac-robustness© 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 AEJ-Macroeconomics-Skills/skills/aejmac-theory-model of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aejmac Theory Model 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 |
|---|---|---|---|---|---|---|
| Aejmac Theory Model this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 236 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Windbg Diagnostic Methodmicrosoft/win-dev-skills | 466 | — | ~1.9k | Automated safety check: Pass | MIT |
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Questions about Aejmac Theory Model
What does Aejmac Theory Model do?
A skill your agent uses when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK /…. Aejmac Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK / Aiyagari-Bewley), or structural estimation — and calibration, parameter identification, solution accuracy, or counterfactual validity need discipline.
When should I use Aejmac Theory Model?
Aejmac Theory Model fits situations like: the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE; heterogeneous-agent (HANK / Aiyagari-Bewley); structural estimation — and calibration; parameter identification.
How do I install Aejmac Theory Model in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-theory-model -a claude-code`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejmac-theory-model in your project. Claude Code loads it when a task matches its description.
How do I install Aejmac Theory Model in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-theory-model -a codex`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejmac-theory-model in your project. Codex loads it when a task matches its description.
Can I use Aejmac Theory Model 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 aejmac-theory-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejmac-theory-model, .gemini/skills/aejmac-theory-model, .github/skills/aejmac-theory-model and .opencode/skills/aejmac-theory-model in your project.
What does Aejmac Theory Model need to run?
SKILL.md names no scripts, command-line tools or credentials: Aejmac Theory Model is instructions for the agent only.
Does Aejmac Theory Model 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 Aejmac Theory Model 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 Aejmac Theory Model use?
Aejmac Theory Model 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 Aejmac Theory Model use?
About 1.4k tokens (SKILL.md is roughly 5.8k 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 Aejmac Theory Model?
Skills that share tags, products or a category with Aejmac Theory Model: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 236 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aejmac Theory Model?
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.