Sub Skill
MoonshotAI/kimi-code
Discover and reorganize the skill inventory into hierarchical sub-skill bundles.
A skill your agent uses when deciding which aeri- sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeri-workflow --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/AER-Insights-Skills/skills/aeri-workflow .claude/skills/aeri-workflow && 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 "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .claude/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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/AER-Insights-Skills/skills/aeri-workflowType 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 aeri-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeri-workflow --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/AER-Insights-Skills/skills/aeri-workflow .agents/skills/aeri-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .agents/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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 aeri-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeri-workflow --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/AER-Insights-Skills/skills/aeri-workflow .cursor/skills/aeri-workflow && 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 "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .cursor/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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 AER-Insights-Skills/skills/aeri-workflow--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 aeri-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeri-workflow --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/AER-Insights-Skills/skills/aeri-workflow .gemini/skills/aeri-workflow && 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 "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .gemini/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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 aeri-workflowInstalls 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 aeri-workflow -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/AER-Insights-Skills/skills/aeri-workflow .github/skills/aeri-workflow && 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 "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .github/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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 aeri-workflow -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 aeri-workflow --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/AER-Insights-Skills/skills/aeri-workflow .opencode/skills/aeri-workflow && 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 "aeri-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AER-Insights-Skills/skills/aeri-workflow into .opencode/skills/aeri-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeri-workflow", 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.
aeri-workflowA skill your agent uses when deciding which aeri- sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an…
Aeri Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which aeri- sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an American Economic Review: Insights (AER: Insights) submission. Routes — it does not replace — the specialized skills.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
11 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aeri Workflow loads about 1.7k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 765 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 765 words, ~1,674 tokens.
.claude/skills/aeri-workflow/SKILL.md (or your agent's skills folder).This is the router. It tells you which aeri- skill to use at the current stage* of a manuscript aimed at American Economic Review: Insights (AER: Insights) — the AEA's short-format, general-interest journal (founded 2019) for papers built around ONE clear, important, well-executed idea, empirical, theoretical, or methodological. The bar is AER-level importance compressed into a short paper. AER: Insights is the short sibling of the American Economic Review (long, multi-result, flagship) and is general-interest, unlike the field-oriented full papers of the AEJ family.
Default assumption: unless the user says otherwise, treat the target as AER: Insights. The two operational tells that you are at AER: Insights and not AER or an AEJ: (1) a hard length cap — main text ≤7,000 words with no exhibits, minus 200 words per exhibit, maximum five exhibits, abstract ≤100 words — papers over the cap are returned unreviewed; (2) a single insight must carry the whole paper, with everything secondary pushed to the online Supplemental Appendix. Process tells: AEA single-blind review that is fast and decisive — no traditional revise-and-resubmit; first decisions are conditional accept or reject, and conditional accepts (usually an 8-week window) are normally not sent back to referees. Editor as of 2026: Matthew Gentzkow (lead editor beginning January 2024; founding editor Amy Finkelstein). Live-check volatile specifics on the official AEA pages.
| Current symptom | Next skill |
|---|---|
| Paper has several results / no single crisp insight; fit to short format unclear | aeri-topic-selection |
| Contribution vs. the closest published work is fuzzy or oversold | aeri-literature-positioning |
| The causal or parameter identification is shaky | aeri-identification |
| A model is present but bloated, or unclear what it must minimally show | aeri-theory-model |
| Robustness is sprawling; unclear what stays in-text vs. appendix | aeri-robustness |
| Over the five-exhibit budget; exhibits are dense or carry significance asterisks | aeri-tables-figures |
| Prose buries the result; abstract/intro do not lead with it; over word cap | aeri-writing-style |
| Data/code deposit, README, or AEA Data Editor prep | aeri-replication-package |
| Want to understand the fast review / conditional-accept-vs-reject odds | aeri-referee-strategy |
| Ready to submit via the AEA portal; need a preflight | aeri-submission |
| Received a conditional accept; need a short, decisive response | aeri-rebuttal |
aeri-topic-selection — confirm ONE crisp, important, well-identified insight that stands aloneaeri-literature-positioning — stake the contribution in one or two paragraphsaeri-identification — make the design or parameter identification clean and self-containedaeri-theory-model — keep only the model the single insight requiresaeri-robustness — the few in-text checks that matter; rest to the appendixaeri-tables-figures — at most five exhibits, no significance asterisksaeri-writing-style — lead with the result; enforce the word budget (abstract + intro last)aeri-replication-package — assemble the AEA-compliant data/code packageaeri-referee-strategy — calibrate expectations for the fast, decisive processaeri-submission — AEA portal preflight (word count + exhibit count)aeri-rebuttal — after the conditional accept
aeri-writing-styleis a late-stage polish, but the word cap is a constraint from day one — track it throughout, not at the end.
aeri-tables-figures polish a sixth exhibit that should not existaeri-replication-package until acceptance — the AEA Data Editor checks before publicationThe single insight differs by archetype; enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| one clean causal estimate (DiD / RDD / IV / experiment) | is the design credible AND is it a single headline number? | aeri-topic-selection → aeri-identification |
| a sharp theoretical result / impossibility | is the model minimal and the result surprising? | aeri-theory-model |
| a methodological point with one application | does the method change a substantive answer in few pages? | aeri-identification → aeri-robustness |
| a striking new fact / measurement | is the fact important enough to stand alone, and robust? | aeri-topic-selection → aeri-robustness |
A user says: "My field experiment has a clean main effect, but I also estimated three heterogeneity splits and a structural extension, and the draft is 9,500 words." That is the canonical AER: Insights problem — one good insight buried under a multi-result, over-cap paper. Route first to aeri-topic-selection to confirm the single headline effect is the paper, then aeri-robustness and aeri-tables-figures to move the heterogeneity and the structural extension to the Supplemental Appendix, then aeri-writing-style to land the draft under the 7,000-word (minus exhibits) cap.
if decision_letter_arrived: -> aeri-rebuttal
elif ready_to_submit: -> aeri-submission
elif over_cap_or_too_many_exhibits: -> aeri-tables-figures / aeri-writing-style
elif robustness_sprawling: -> aeri-robustness
elif model_bloated: -> aeri-theory-model
elif identification_shaky: -> aeri-identification
elif contribution_fuzzy: -> aeri-literature-positioning
else: -> aeri-topic-selection© 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
Just SKILL.md in AER-Insights-Skills/skills/aeri-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Aeri Workflow 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 |
|---|---|---|---|---|---|---|
| Aeri Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Sub SkillMoonshotAI/kimi-code | 7.8k | — | ~281 | Automated safety check: Pass | MIT | |
| Sub Agentsparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~929 | Automated safety check: Notes | MIT | |
| Offensive Lorawan Sub GhzSnailSploit/Claude-Red | 7.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Create Invoke TaskDataDog/datadog-agent | 3.8k | — | ~606 | Automated safety check: Notes | Apache-2.0 | |
| Sub-Agent DelegationTokenRhythm/opensquilla | 7.1k | — | ~3k | Automated safety check: Pass | Apache-2.0 |
MoonshotAI/kimi-code
Discover and reorganize the skill inventory into hierarchical sub-skill bundles.
parcadei/Continuous-Claude-v3
Create and configure Claude Code sub-agents with custom prompts, tools, and models
SnailSploit/Claude-Red
LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz…
DataDog/datadog-agent
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
TokenRhythm/opensquilla
Hands a self-contained coding task to Codex, Claude Code, OpenCode or Pi as a non-interactive background process, using OpenSquilla's exec_command and process tools.
NeoLabHQ/context-engineering-kit
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
A skill your agent uses when deciding which aeri- sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an…. Aeri Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which aeri- sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an American Economic Review: Insights (AER: Insights) submission.
Aeri Workflow fits situations like: deciding which aeri- sub-skill to invoke next.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-workflow -a claude-code`. Or copy the skill folder (AER-Insights-Skills/skills/aeri-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aeri-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-workflow -a codex`. Or copy the skill folder (AER-Insights-Skills/skills/aeri-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aeri-workflow in your project. Codex loads it when a task matches its description.
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 aeri-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aeri-workflow, .gemini/skills/aeri-workflow, .github/skills/aeri-workflow and .opencode/skills/aeri-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Aeri Workflow is instructions for the agent only.
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.
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.
Aeri Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aeri Workflow: Sub Skill (MoonshotAI/kimi-code, 7.8k stars), Sub Agents (parcadei/Continuous-Claude-v3, 3.9k stars), Offensive Lorawan Sub Ghz (SnailSploit/Claude-Red, 7.4k stars) and Create Invoke Task (DataDog/datadog-agent, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.