Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-topic-selection --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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .claude/skills/aerj-topic-selection && 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 "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .claude/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selectionType 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 aerj-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-topic-selection --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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .agents/skills/aerj-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .agents/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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 aerj-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-topic-selection --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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .cursor/skills/aerj-topic-selection && 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 "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .cursor/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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 American-Educational-Research-Journal-Skills/skills/aerj-topic-selection--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 aerj-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-topic-selection --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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .gemini/skills/aerj-topic-selection && 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 "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .gemini/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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 aerj-topic-selectionInstalls 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 aerj-topic-selection -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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .github/skills/aerj-topic-selection && 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 "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .github/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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 aerj-topic-selection -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 aerj-topic-selection --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/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection .opencode/skills/aerj-topic-selection && 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 "aerj-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-topic-selection into .opencode/skills/aerj-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-topic-selection", 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.
aerj-topic-selectionA skill your agent uses when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant…
Aerj Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant education-research lens is clear. AERJ rewards broad significance to education research, not subfield-only description. Tests fit; it does not generate research questions.
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 Research & Science, covering Hypothesis generation. 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.
4 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.
Aerj Topic Selection loads about 1.4k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 615 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). 615 words, ~1,403 tokens.
.claude/skills/aerj-topic-selection/SKILL.md (or your agent's skills folder).AERJ publishes work that spans the whole field of education research and matters beyond a single subfield. Before anything else, decide two things: is the question of broad significance, and what dominant education-research lens makes it legible to the integrated AERJ audience.
aerj-theory-and-framework.| Your topic is about... | Dominant lens |
|---|---|
| Policy, governance, finance, accountability, organizations, institutions, equity at the system level | Policy / institutional / organizational |
| Teaching, instruction, curriculum, learning processes, cognition, motivation, human development | Teaching / learning / development |
| The school as an organization and what happens in classrooms | Name the dominant framing; explain cross-field travel |
The lens is about topic and framing, not method. A multilevel quantitative study and an ethnography can both belong if the field-wide contribution is clear.
A flagship AERA general journal weighs reach across the field more heavily than methodological novelty alone. Read your topic against this grid before committing to the AERJ target.
| Topic shape | Likely verdict | Dominant lens | Why |
|---|---|---|---|
| Single-district descriptive finding, no broader claim | Better suited to a specialty outlet | None yet | Fails broad-significance test |
| Statewide accountability policy and its equity consequences | Strong fit | Policy / institutional | System-level institutional question |
| Classroom-level mechanism of how students learn a concept | Strong fit | Teaching / learning / development | Learning/development process |
| School organization shaping classroom instruction | Fit — name dominant lens | Cross-cutting | Straddles; pick framing axis, justify it |
| Methods demonstration with thin substantive stake | Needs sharpening | None yet | AERJ wants the education question foregrounded |
A researcher has data on a principal-mentoring program across 60 schools and finds a leadership turnover reduction of about 9 percentage points (illustrative). Pitched as "a turnover study," it reads as a niche HR result. Re-pitched as how institutional support reshapes who stays to lead high-need schools and what that means for equity of access to stable leadership, it becomes a policy/institutional question of broad significance — the same 9-point number now carries a field-wide stake. The topic did not change; the framing crossed it from subfield-only to AERJ-appropriate.
【Question】one sentence
【Broad significance】who beyond the subfield cares + policy/practice stake
【Conceptual contribution】what we understand differently
【Dominant lens】policy/institutional / teaching-learning / development / cross-cutting (and why)
【Fit verdict】strong / needs sharpening / better suited elsewhere
【Next】aerj-literature-positioning../../resources/external_tools.md — education-research data sources by topic and level../../resources/official-source-map.md — AERJ scope and integrated-journal history© 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 American-Educational-Research-Journal-Skills/skills/aerj-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Aerj Topic Selection 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 |
|---|---|---|---|---|---|---|
| Aerj Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab | 1k | — | ~2.2k | Automated safety check: Pass | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
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…
Categories
A skill your agent uses when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant…. Aerj Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant education-research lens is clear.
Aerj Topic Selection fits situations like: deciding whether a topic fits the American Educational Research Journal (AERJ); now an integrated field-wide journal; whether the manuscripts dominant education-research lens is clear.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-topic-selection -a claude-code`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aerj-topic-selection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-topic-selection -a codex`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aerj-topic-selection 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 aerj-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aerj-topic-selection, .gemini/skills/aerj-topic-selection, .github/skills/aerj-topic-selection and .opencode/skills/aerj-topic-selection in your project.
SKILL.md names no scripts, command-line tools or credentials: Aerj Topic Selection 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.
Aerj Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Aerj Topic Selection: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 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.