A skill your agent uses when deciding which expecon- sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission.

MITAuto-check passedResearch & Science

Install Expecon Workflow

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill expecon-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills expecon-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Experimental-Economics-Skills/skills/expecon-workflow .claude/skills/expecon-workflow && rm -rf skills-src

Use ~/.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/

Facts

Skill name
expecon-workflow
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
816 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which expecon- sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission.

  • Works in 11 steps: expecon-topic-selection — confirm the… → expecon-literature-positioning — stake… → expecon-theory-model — pin the testable… → …
  • Deciding which expecon- sub-skill to invoke next
  • SKILL.md covers Overview, When to trigger, Routing table and Default order, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Expecon Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which expecon- sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission. Routes — it does not replace — the specialized skills.

Its SKILL.md is about 1.9k 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.

When your agent uses it

  • Deciding which expecon- sub-skill to invoke next
  • Sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission

Example prompts

  • “/expecon-workflow”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. expecon-topic-selection — confirm the method-defined fit and the cleanest treatment contrast
  2. expecon-literature-positioning — stake the contribution vs. prior experiments
  3. expecon-theory-model — pin the testable behavioral/game-theoretic hypotheses and predictions
  4. expecon-identification — incentives, randomization, control, comprehension, no-deception
  5. expecon-robustness — power/sample-size justification, MHT, order/learning, pooled-vs-session inference
  6. expecon-tables-figures — treatment-comparison exhibits that carry the design
  7. expecon-writing-style — make the design land (abstract + intro last)
  8. expecon-replication-package — instructions + z-Tree/oTree code + data, ESA-compliant
  9. expecon-referee-strategy — anticipate the experimentalist referee
  10. expecon-submission — Editorial Manager preflight
  11. expecon-rebuttal — after the R&R

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

Expecon Workflow loads about 1.9k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 816 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 816 words, ~1,895 tokens.

Download SKILL.mdSave it as .claude/skills/expecon-workflow/SKILL.md (or your agent's skills folder).
name
expecon-workflow
description
Use when deciding which expecon-* sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission. Routes — it does not replace — the specialized skills.

ExpEcon Workflow Router (expecon-workflow)

Overview

This is the router. It tells you which expecon- skill to use at the current stage* of a manuscript aimed at Experimental Economics — the official journal of the Economic Science Association (ESA) and the field's flagship for experimental METHODS in economics: lab experiments, lab-in-the-field, field experiments, market and game experiments, methodology of experimentation, and replications. The journal is defined by method, not topic. A clean public-goods design and a clean matching-market design compete in the same queue; what they share is craft.

Operational tells that you are at Experimental Economics and not a sibling: the journal moved from Springer to Cambridge University Press in January 2025 (Vol. 28), fully open access (CC BY) on behalf of the ESA (检索于 2026-06;以官网为准); submission runs through Editorial Manager (editorialmanager.com/eec) under anonymous (double-blind) refereeing, with two editors approving each accepted paper; participant instructions must be supplied at submission; and two hard gates dominate everything else — real salient incentives and the ESA NO-DECEPTION norm. A study that deceives participants is effectively a desk reject. Default assumption unless the user says otherwise: treat the target as Experimental Economics.

When to trigger

  • The user asks "what should I do next?" with an experiment aimed here
  • A draft's binding constraint is unclear and is ping-ponging between design, analysis, exhibits, and the letter
  • The team is weighing Experimental Economics against JEBO, GEB, AEJ: Micro, or JESA
  • A decision letter arrived and the user must switch into revision mode

Routing table

Current symptomNext skill
Unsure the question is a method-defined fit, or it reads as topic-firstexpecon-topic-selection
Contribution vs. the experimental literature is fuzzy or oversoldexpecon-literature-positioning
The behavioral/game-theoretic hypotheses being tested are looseexpecon-theory-model
Incentive compatibility, randomization, control, or the no-deception gate is shakyexpecon-identification
Power/MHT/comprehension/order effects/inference are the worryexpecon-robustness
Treatment-effect plots or tables are dense or mis-scaledexpecon-tables-figures
Prose buries the design; intro/abstract do not landexpecon-writing-style
z-Tree/oTree code, instructions, data deposit, or ESA repro prepexpecon-replication-package
Want to anticipate referee objections before submittingexpecon-referee-strategy
Ready to submit via Editorial Manager; need a preflightexpecon-submission
Received an R&R; need a response-letter strategyexpecon-rebuttal

Default order

  1. expecon-topic-selection — confirm the method-defined fit and the cleanest treatment contrast
  2. expecon-literature-positioning — stake the contribution vs. prior experiments
  3. expecon-theory-model — pin the testable behavioral/game-theoretic hypotheses and predictions
  4. expecon-identification — incentives, randomization, control, comprehension, no-deception
  5. expecon-robustness — power/sample-size justification, MHT, order/learning, pooled-vs-session inference
  6. expecon-tables-figures — treatment-comparison exhibits that carry the design
  7. expecon-writing-style — make the design land (abstract + intro last)
  8. expecon-replication-package — instructions + z-Tree/oTree code + data, ESA-compliant
  9. expecon-referee-strategy — anticipate the experimentalist referee
  10. expecon-submission — Editorial Manager preflight
  11. expecon-rebuttal — after the R&R

expecon-writing-style is late polish; do not rewrite the intro before design and analysis settle. Pre-registration (and any Registered Report intention) is decided at expecon-topic-selection/expecon-identification, never retrofitted.

Show full SKILL.md (353 more words)Show less

Anti-patterns

  • Treating Experimental Economics like JEBO (broad behavioral, topic-defined, deception sometimes tolerated) — here method and the no-deception gate rule
  • Treating it like GEB (a theory home where experiments are illustrative) or AEJ: Micro (where experiments support a broader applied/theory claim)
  • Confusing it with JESA, the ESA's other, shorter-format journal — Experimental Economics is the ESA method flagship
  • Polishing prose or exhibits while the treatment contrast or power justification is still moving
  • Letting an appendix carry the comprehension checks, balance, or instructions the main text must establish

Routing by paper archetype

ArchetypeLikely first bottleneckEnter at
Lab market / game experimentclean treatment contrast + incentive-compatible payoffsexpecon-identification
Field / lab-in-the-field experimentrandomization integrity + attrition + ecological validityexpecon-identification → expecon-robustness
Methodology-of-experimentation paperwhat existing designs get wrong + a demonstrationexpecon-topic-selection → expecon-theory-model
Replication / Registered Reportfidelity to original protocol + pre-specified analysis + powerexpecon-topic-selection → expecon-robustness

Worked routing example (illustrative)

A user says: "My ultimatum-game variant works, but a referee says the stranger-matching feedback might have misled subjects and the treatment effect could be a power artifact." Two distinct ExpEcon pushbacks — a possible deception concern (false feedback about other players) owned by expecon-identification, and underpowering owned by expecon-robustness. Resolve the deception gate first (it is binary and can sink the paper), then justify the sample (e.g., the design has 80% power to detect a 1.5-token gap at the session-clustered level, illustrative), then return to exhibits and the letter.

Two gates that override the order

Most stages can be revisited out of sequence, but two checks dominate every route and should be confirmed before deep work on any skill:

  • No deception — if any procedure deceives participants, no amount of analysis, framing, or robustness rescues the paper. Resolve at expecon-identification first; if it cannot be removed, the design must change.
  • Salient real incentives — hypothetical or token stakes are not "incentivized" here. Confirm incentive compatibility for every elicited object before you optimize exhibits or prose.

A third, softer gate — pre-registration / Registered Report intent — is cheap before data collection and impossible to retrofit after. Decide it at expecon-topic-selection. When in doubt about where to enter, check these gates first; they reorder everything else.

Output format

text
【Target】Experimental Economics (ESA flagship; method-defined)
【Current bottleneck】fit / contribution / hypotheses / design / robustness / exhibits / style / package / submission / revision
【Next skill】<one expecon-* skill>
【Reason】why this is the binding constraint
【Gate check】incentives salient? no deception? instructions ready?
【Source check】official facts verified or marked 检索于 2026-06;以官网为准 / 待核实

© 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 Experimental-Economics-Skills/skills/expecon-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Expecon Workflow

What does Expecon Workflow do?

A skill your agent uses when deciding which expecon- sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission. Expecon Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which expecon- sub-skill to invoke next, or when sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission.

When should I use Expecon Workflow?

Expecon Workflow fits situations like: deciding which expecon- sub-skill to invoke next; sequencing manuscript work from design through rebuttal for an Experimental Economics (ExpEcon) submission.

How do I install Expecon Workflow in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill expecon-workflow -a claude-code`. Or copy the skill folder (Experimental-Economics-Skills/skills/expecon-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/expecon-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Expecon Workflow in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill expecon-workflow -a codex`. Or copy the skill folder (Experimental-Economics-Skills/skills/expecon-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/expecon-workflow in your project. Codex loads it when a task matches its description.

Can I use Expecon Workflow 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 expecon-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/expecon-workflow, .gemini/skills/expecon-workflow, .github/skills/expecon-workflow and .opencode/skills/expecon-workflow in your project.

What does Expecon Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Expecon Workflow is instructions for the agent only.

Does Expecon Workflow 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 Expecon Workflow 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 Expecon Workflow use?

Expecon Workflow 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 Expecon Workflow use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Expecon Workflow?

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Who maintains Expecon Workflow?

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.