A skill your agent uses when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection, literature positioning…

MITAuto-check passedData & Analytics

Install Jfqa Workflow

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-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/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-workflow .claude/skills/jfqa-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
jfqa-workflow
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
520 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection, literature positioning…

  • Routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection
  • SKILL.md covers When to trigger, Routing map, Output format and Router diagnostics, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Literature positioning

What it does

Jfqa Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection, literature positioning, identification, data analysis, contribution framing, tables/figures, writing style, the code-sharing archive, review process, submission preflight, and R&R rebuttal. Start here when unsure what to do next.

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 Data & Analytics, covering Brand voice and tone, Data analysis and Positioning and messaging. 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

  • Routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection
  • Literature positioning
  • Contribution framing
  • The code-sharing archive

Example prompts

  • “/jfqa-workflow”

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

Jfqa Workflow loads about 1.4k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 520 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 520 words, ~1,438 tokens.

Download SKILL.mdSave it as .claude/skills/jfqa-workflow/SKILL.md (or your agent's skills folder).
name
jfqa-workflow
description
Use when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa-* skill to use next across topic selection, literature positioning, identification, data analysis, contribution framing, tables/figures, writing style, the code-sharing archive, review process, submission preflight, and R&R rebuttal. Start here when unsure what to do next.

JFQA Workflow Router (jfqa-workflow)

Use this skill to orient a manuscript aimed at the Journal of Financial and Quantitative Analysis (JFQA) — an empirical and quantitative finance journal published by Cambridge University Press for the University of Washington Foster School of Business. It prints less than 9% of the 1,000+ papers submitted yearly, so every stage should clear a high bar before you spend the $350 non-refundable-by-$75 submission fee.

When to trigger

  • "Where do I start / what's next for my JFQA paper?"
  • You have results but are unsure whether the design, framing, or archive is JFQA-ready.
  • You received a decision letter and need to route to rebuttal or resubmission.

Routing map

jfqa-topic-selection          → is this a JFQA-fit finance question?
        ▼
jfqa-literature-positioning   → stake the contribution vs. the finance frontier
        ▼
jfqa-identification-strategy  → credible design (sorts/FMB, panel FE, DID, IV, RDD, event study)
        ▼
jfqa-data-analysis            → estimation, clustering, robustness, economic magnitudes
        ▼
jfqa-contribution-framing     → one-paragraph ≤100-word abstract + intro contribution
        ▼
jfqa-tables-figures           → finance-standard exhibits with self-contained notes
        ▼
jfqa-writing-style            → polish for a finance audience
        ▼
jfqa-replication-and-data-policy → build the JFQA Dataverse code/data archive
        ▼
jfqa-review-process           → what double-anonymous JFQA review involves
        ▼
jfqa-submission               → Editorial Manager preflight (PDF, fee, formatting)
        ▼
jfqa-rebuttal                 → R&R response letter

Output format

【Stage】where the manuscript is now
【Next skill】single jfqa-* skill to invoke
【Why】one-line rationale tied to a JFQA constraint
【Watch-outs】fee/refund, 100-word abstract, anonymization, code policy, prior-rejection disclosure

Always confirm volatile specifics on the official pages (see resources/official-source-map.md).

Router diagnostics

Ask the manuscript owner for the current bottleneck:

  • Question/scope unclear or outside finance: jfqa-topic-selection.
  • Closest finance competitor missing: jfqa-literature-positioning.
  • Design credibility weak: jfqa-identification-strategy.
  • Results not reproducible or magnitudes missing: jfqa-data-analysis.
  • Abstract or first page too diffuse: jfqa-contribution-framing.
  • Exhibits unreadable without text: jfqa-tables-figures.
  • Archive, pseudo data, or exception timing unresolved: jfqa-replication-and-data-policy.

The route should always reduce one JFQA-specific screen risk: fit, 100-word abstract, anonymization, identification, economic magnitude, code-sharing, fee/prior-rejection disclosure, or exhibit readability.

Stage gates before spending the fee

GateExit criterionJFQA risk averted
G1 Scopethe question scores high on the topic-selection rubric$75 retained on a desk reject, plus months
G2 Designidentifying variation stated in one defensible sentencethe endogeneity report that kills most empirical R&Rs
G3 Numbersheadline magnitude expressed in finance units, scaledthe "only statistically significant" complaint
G4 Packagerun_all regenerates every exhibit; pseudo-data plan seta scramble at acceptance under the Code Sharing Policy
G5 Preflight≤ 100-word abstract, anonymized text-searchable PDF, disclosures draftedformatting/anonymity strikes and the one-year-ban trap

Do not let a manuscript pass a later gate while an earlier one is open; JFQA's screens fire in roughly this order.

Show full SKILL.md (208 more words)Show less

Worked routing call (illustrative)

A manuscript arrives with strong results but a 138-word abstract, firm-only clustered standard errors never checked against a two-way scheme, and no pseudo-data plan for its CRSP/Compustat extracts. Route in this order: jfqa-contribution-framing first (the abstract cap is a hard constraint and the cheapest fix), then jfqa-data-analysis (inference robustness changes table contents, so it must precede exhibit polish), then jfqa-replication-and-data-policy (pseudo data takes days, and any exception must ride on the initial submission), and only then jfqa-submission. The principle: hard journal constraints and anything that can change numbers come before taste-level polish.

Re-entry points after a decision

  • Desk reject → jfqa-topic-selection or jfqa-contribution-framing, depending on whether fit or framing failed.
  • Reject after review, planning a substantially modified return → rebuild through the full chain and add the prior-rejection disclosure at jfqa-submission.
  • R&R → jfqa-rebuttal, looping back into jfqa-identification-strategy or jfqa-data-analysis for each evidentiary demand.

What can run in parallel

  • The Dataverse archive build (jfqa-replication-and-data-policy) can proceed alongside writing-style polish; both consume the frozen results, not each other.
  • Exhibit notes (jfqa-tables-figures) and the abstract (jfqa-contribution-framing) share the same headline magnitudes — draft them in one sitting so the numbers cannot diverge.
  • Anonymization is not a stage; it is a property every stage must preserve from first draft to resubmission.

© 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 Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jfqa 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.

Jfqa Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jfqa Workflow this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Isr Tables Figuresfranklee16/academic-research-skills2231 repos~877Automated safety check: PassNone
Jm Contribution Framingfranklee16/academic-research-skills2231 repos~1kAutomated safety check: PassNone
Mksc Tables Figuresfranklee16/academic-research-skills2231 repos~863Automated safety check: PassNone
Pom Contribution Framingfranklee16/academic-research-skills2231 repos~841Automated safety check: PassNone
Jm Tables Figuresfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone

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Questions about Jfqa Workflow

What does Jfqa Workflow do?

A skill your agent uses when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection, literature positioning…. Jfqa Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection, literature positioning, identification, data analysis, contribution framing, tables/figures, writing style, the code-sharing archive, review process, submission preflight, and R&R rebuttal.

When should I use Jfqa Workflow?

Jfqa Workflow fits situations like: routing a Journal of Financial and Quantitative Analysis (JFQA) manuscript — decides which jfqa- skill to use next across topic selection; literature positioning; contribution framing; the code-sharing archive.

How do I install Jfqa Workflow in Claude Code?

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

How do I install Jfqa Workflow in Codex?

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

Can I use Jfqa 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 jfqa-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/jfqa-workflow, .gemini/skills/jfqa-workflow, .github/skills/jfqa-workflow and .opencode/skills/jfqa-workflow in your project.

What does Jfqa Workflow need to run?

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

Does Jfqa 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 Jfqa 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 Jfqa Workflow use?

Jfqa 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 Jfqa Workflow 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 Jfqa Workflow?

Skills that share tags, products or a category with Jfqa Workflow: Isr Tables Figures (franklee16/academic-research-skills, 223 stars), Jm Contribution Framing (franklee16/academic-research-skills, 223 stars), Mksc Tables Figures (franklee16/academic-research-skills, 223 stars) and Pom Contribution Framing (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jfqa Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.