A skill your agent uses to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated…

MITAuto-check passedResearch & Science

Install Rt Workflow

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-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/Research-Toolkit-Skills/skills/rt-workflow .claude/skills/rt-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
rt-workflow
GitHub stars
1.2k
Token cost
~1k tokens
SKILL.md length
468 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated…

  • Works in 12 steps: paper-profile.yml — write the five… → rt-journal-match — profile the paper →… → rt-ladder-ev — cost the ladder in months… → …
  • Sequence a manuscript across venues — which cross-journal toolkit skill to invoke next
  • SKILL.md covers When to trigger, The loop (and the skill that…, Routing table and How it relates to the…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Rt Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated review, rebuttal, and the replication package. Routes; it does not replace the per-journal depth packs or the specialized toolkit skills.

Its SKILL.md is about 1k 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 Econometrics and empirical research. 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

  • Sequence a manuscript across venues — which cross-journal toolkit skill to invoke next
  • From picking a target journal through execution
  • Submission-readiness
  • Simulated review

Example prompts

  • “/rt-workflow”

Workflow steps

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

  1. paper-profile.yml — write the five signals down once. Every skill below reads it instead of re-deriving them from the manuscript and…
  2. rt-journal-match — profile the paper → ranked reach/match/safe shortlist + resubmission ladder.
  3. rt-ladder-ev — cost the ladder in months and in probability of placing, when there is a clock or two candidate orders.
  4. rt-venue-integrity — when the chosen venue is outside the index, verify it against primary sources before submitting.
  5. rt-venue-reframe — when the target changes (a reject, or a switch), diff the manuscript from the old venue's framing to the new one.
  6. rt-execution-bridge — run the analysis through the StatsPAI / Stata MCP tools (estimate + audit), not just advise it.
  7. rt-submission-readiness — go/no-go scorecard on the manuscript against the target venue's bar.
  8. rt-desk-reject-risk — score the draft against the target's own documented desk-reject triggers before uploading.
  9. rt-simulated-referee — rehearse a calibrated AE + referee panel; surface the decisive objections before a real referee does.
  10. (fix) — route each objection back to the target pack's skill + the execution bridge.
  11. rt-response-to-referees — after an R&R, draft the point-by-point reply + revision plan (editor first).
  12. rt-replication-package — assemble + validate the Data-Editor package against the venue's data-and-code policy.

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

Rt Workflow loads about 1k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 468 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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). 468 words, ~1,043 tokens.

Download SKILL.mdSave it as .claude/skills/rt-workflow/SKILL.md (or your agent's skills folder).
name
rt-workflow
description
Use to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated review, rebuttal, and the replication package. Routes; it does not replace the per-journal depth packs or the specialized toolkit skills.

Cross-Journal Workflow Router (rt-workflow)

The author-side loop that runs across journals, complementing the per-journal depth packs (which answer "how do I clear THIS venue's bar?"). Each step is backed by a canonical capability doc in shared-resources/.

When to trigger

  • You have a result/draft and don't yet know the venue, or just got a reject and need the next target.
  • You are mid-project and want the next cross-journal step.
  • You want the end-to-end sequence: pick → execute → ready → rehearse → submit → rebut → replicate.

The loop (and the skill that owns each step)

  1. paper-profile.yml — write the five signals down once. Every skill below reads it instead of re-deriving them from the manuscript and disagreeing with itself.
  2. rt-journal-match — profile the paper → ranked reach/match/safe shortlist + resubmission ladder.
  3. rt-ladder-ev — cost the ladder in months and in probability of placing, when there is a clock or two candidate orders.
  4. rt-venue-integrity — when the chosen venue is outside the index, verify it against primary sources before submitting.
  5. rt-venue-reframe — when the target changes (a reject, or a switch), diff the manuscript from the old venue's framing to the new one.
  6. rt-execution-bridge — run the analysis through the StatsPAI / Stata MCP tools (estimate + audit), not just advise it.
  7. rt-submission-readiness — go/no-go scorecard on the manuscript against the target venue's bar.
  8. rt-desk-reject-risk — score the draft against the target's own documented desk-reject triggers before uploading.
  9. rt-simulated-referee — rehearse a calibrated AE + referee panel; surface the decisive objections before a real referee does.
  10. (fix) — route each objection back to the target pack's skill + the execution bridge.
  11. rt-response-to-referees — after an R&R, draft the point-by-point reply + revision plan (editor first).
  12. rt-replication-package — assemble + validate the Data-Editor package against the venue's data-and-code policy.
Show full SKILL.md (185 more words)Show less

Routing table

SymptomGo to
"Where should I send this?" / "Rejected — what next?"rt-journal-match
"Top journal first, or start one rung down?" / a tenure or job-market clockrt-ladder-ev
"Is this journal real?" / an unfamiliar venue, a solicitation email, an index requirementrt-venue-integrity
"What has to change to send it to X instead?"rt-venue-reframe
"I need to actually run the DiD/IV/RDD/SCM/DML, not just plan it"rt-execution-bridge
"Is it ready to submit?"rt-submission-readiness
"Will the editor desk-reject this?"rt-desk-reject-risk
"What will referees attack?"rt-simulated-referee
"I have an R&R to answer"rt-response-to-referees
"The Data Editor needs a replication package"rt-replication-package

How it relates to the per-journal packs

This router sequences the cross-journal steps; the venue bar and all live facts (fees, limits, acceptance, data policy, house style) come from the chosen pack's own skills and resources/official-source-map.md. Always defer venue-specific judgment to that pack — this toolkit picks the venue, runs the analysis, and rehearses the gauntlet.

Anti-patterns

  • Submitting before rt-submission-readiness clears the mechanical bar.
  • Picking a venue without reading its live source-map facts (rt-journal-match hard rule).
  • Treating the simulated referee as a verdict rather than a rehearsal.

Output format

【Current step】pick / execute / ready / rehearse / respond / replicate
【Next skill】rt-...
【Why】one line
【Venue bar source】<target pack>/resources/official-source-map.md + skills

© 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 Research-Toolkit-Skills/skills/rt-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Rt 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.

Rt Workflow compared with similar skills
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Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata263—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Rt Workflow

What does Rt Workflow do?

A skill your agent uses to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated…. Rt Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to sequence a manuscript across venues — which cross-journal toolkit skill to invoke next, from picking a target journal through execution, submission-readiness, simulated review, rebuttal, and the replication package.

When should I use Rt Workflow?

Rt Workflow fits situations like: sequence a manuscript across venues — which cross-journal toolkit skill to invoke next; from picking a target journal through execution; submission-readiness; simulated review.

How do I install Rt Workflow in Claude Code?

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

How do I install Rt Workflow in Codex?

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

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

What does Rt Workflow need to run?

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

Does Rt 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 Rt 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 Rt Workflow use?

Rt 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 Rt Workflow use?

About 1k tokens (SKILL.md is roughly 4.2k 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 Rt Workflow?

Skills that share tags, products or a category with Rt Workflow: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 263 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rt Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,216 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.