Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when deciding which wber- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER)…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wber-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .claude/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .claude/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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/World-Bank-Economic-Review-Skills/skills/wber-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 wber-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .agents/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .agents/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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 wber-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .cursor/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .cursor/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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 World-Bank-Economic-Review-Skills/skills/wber-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 wber-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .gemini/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .gemini/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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 wber-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 wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .github/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .github/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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 wber-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 wber-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/World-Bank-Economic-Review-Skills/skills/wber-workflow .opencode/skills/wber-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 "wber-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/World-Bank-Economic-Review-Skills/skills/wber-workflow into .opencode/skills/wber-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wber-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.
wber-workflowA skill your agent uses when deciding which wber- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER)…
Wber Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which wber- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER) 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.
It sits in Research & Science. 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.
Wber Workflow loads about 1.7k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 735 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). 735 words, ~1,738 tokens.
.claude/skills/wber-workflow/SKILL.md (or your agent's skills folder).This is the router. It tells you which wber- skill to use at the current stage* of a manuscript aimed at The World Bank Economic Review (WBER) — the rigorous empirical development-economics journal published by Oxford University Press for the World Bank (founded 1986, quarterly). WBER prizes two things at once: credible identification AND clear development-policy relevance for a World Bank / policymaker audience. A paper that nails one and ignores the other is the classic WBER misfire.
Default assumption: unless the user says otherwise, treat the target as WBER. Operational tells that you are at WBER and not a sibling: the journal requires public release of all data and code as a condition of publication (it is, by repute, the only development field journal that does this routinely); review is single-anonymized (referees blind, author names on the title page); there is a 40-page total cap including everything; and WBER welcomes short-format policy-relevant papers alongside full articles. Editors as of 2026: Eric Edmonds and Nina Pavcnik (Dartmouth) (检索于 2026-06;以官网为准). Re-verify volatile specifics on the OUP WBER pages.
| Current symptom | Next skill |
|---|---|
| Question is interesting but not clearly development + policy-relevant | wber-topic-selection |
| Contribution vs. JDE / World Development / the Research Observer is fuzzy | wber-literature-positioning |
| Causal design (RCT/DiD/RD/IV) credibility is the bottleneck | wber-identification |
| A development model is needed to interpret or to run a counterfactual | wber-theory-model |
| Results may be specification-, sample-, or inference-sensitive | wber-robustness |
| Exhibits are dense; significance asterisks still present | wber-tables-figures |
| Prose buries the policy "so what"; intro/abstract do not land | wber-writing-style |
| Data + code deposit, README, DOI link, restricted-data path | wber-replication-package |
| Want to anticipate referee objections before submitting | wber-referee-strategy |
| Ready to submit via ScholarOne; need a preflight | wber-submission |
| Received an R&R; need a response-letter strategy | wber-rebuttal |
wber-topic-selection — lock a development question with policy stakeswber-literature-positioning — stake the contribution; rule out sibling venueswber-identification — make the causal design crediblewber-theory-model — only if interpretation or counterfactual needs a modelwber-robustness — threat-by-threat, not an appendix dumpwber-tables-figures — exhibits a policymaker can read; no asteriskswber-writing-style — make the policy contribution land (abstract + intro last)wber-replication-package — assemble the data + code deposit with a DOIwber-referee-strategy — pre-empt the predictable objectionswber-submission — ScholarOne preflight (40-page cap, single-anon title page)wber-rebuttal — after the R&R
wber-writing-styleis a late polish; do not rewrite the intro before identification and the policy frame settle.wber-theory-modelis conditional — a clean reduced-form evaluation often needs no formal model.
WBER spans several development archetypes, and the binding constraint differs. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| program/impact evaluation (RCT or quasi-experiment) | estimand + external validity / scaling | wber-identification |
| policy-reform DiD / RD around a developing-country reform | staggered-DiD bias or RD manipulation | wber-identification |
| measurement / poverty / inequality using LSMS/DHS/admin data | data construction transparency + reproducibility | wber-replication-package → wber-robustness |
| development model + structural counterfactual | what identifies parameters; policy-invariance | wber-theory-model → wber-identification |
| short-format policy note | sharp single result + tight framing | wber-topic-selection → wber-writing-style |
A user says: "My RCT of a school-grants program in three districts estimates a clean ITT, but a referee says it reads like a project report and isn't general enough for WBER." That is two distinct WBER pushbacks — policy/general-interest framing (owned by wber-topic-selection + wber-literature-positioning) and external validity / scaling (owned by wber-identification). Route to positioning first to reframe the evaluation as evidence on a mechanism of interest to development policy, then to wber-identification to argue what the three-district LATE implies for scale-up (general-equilibrium, fiscal cost). Only once the framing and external-validity story hold do you return to exhibits and the rebuttal.
if decision_letter_arrived: -> wber-rebuttal
elif ready_to_submit: -> wber-submission
elif anticipating_referees: -> wber-referee-strategy
elif data_code_deposit: -> wber-replication-package
elif exhibits_or_significance: -> wber-tables-figures
elif results_fragile: -> wber-robustness
elif need_model_for_counterfactual: -> wber-theory-model
elif identification_shaky: -> wber-identification
elif contribution_or_fit_fuzzy: -> wber-literature-positioning / wber-topic-selection
else: -> wber-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 World-Bank-Economic-Review-Skills/skills/wber-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Wber 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 |
|---|---|---|---|---|---|---|
| Wber Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
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.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
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 which wber- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER)…. Wber Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which wber- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER) submission.
Wber Workflow fits situations like: deciding which wber- sub-skill to invoke next; sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER) submission.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wber-workflow -a claude-code`. Or copy the skill folder (World-Bank-Economic-Review-Skills/skills/wber-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/wber-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wber-workflow -a codex`. Or copy the skill folder (World-Bank-Economic-Review-Skills/skills/wber-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/wber-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 wber-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/wber-workflow, .gemini/skills/wber-workflow, .github/skills/wber-workflow and .opencode/skills/wber-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Wber 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.
Wber 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 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 Wber Workflow: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k 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.