A skill your agent uses when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance).

MITAuto-check passed

Install Jpart Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-topic-selection -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-topic-selection --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-Public-Administration-Research-and-Theory-Skills/skills/jpart-topic-selection .claude/skills/jpart-topic-selection && 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
jpart-topic-selection
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
559 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance).

  • Works in 4 steps: A public-management theory contribution.… → A mechanism, not just an effect. Name… → Rigor JPART reviewers will accept.… → …
  • SKILL.md covers When to trigger, The JPART fit test, Which public-administration… and Reject-by-sibling symptoms, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jpart Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance). JPART rewards a contribution to public-management theory tested with rigor, not a stand-alone policy finding. Helps frame the question; it does not collect data.

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.

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.

Example prompts

  • “/jpart-topic-selection”

Workflow steps

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

  1. A public-management theory contribution. The paper extends, tests, bounds, or overturns a theory
  2. A mechanism, not just an effect. Name why the relationship holds (incentives, identity,
  3. Rigor JPART reviewers will accept. Increasingly experimental and causal — survey/lab/field
  4. An answerable scope within ~12,000 words (the cap includes abstract, tables, and references —

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

Jpart Topic Selection loads about 1.4k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 559 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
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). 559 words, ~1,353 tokens.

Download SKILL.mdSave it as .claude/skills/jpart-topic-selection/SKILL.md (or your agent's skills folder).
name
jpart-topic-selection
description
Use when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance). JPART rewards a contribution to public-management theory tested with rigor, not a stand-alone policy finding. Helps frame the question; it does not collect data.

Topic Selection & Fit (jpart-topic-selection)

JPART is the theory-and-research flagship of public administration, owned by the Public Management Research Association (PMRA) and published by Oxford University Press. The bar is not "an interesting public-sector result" — it is "this extends or tests public-management theory." Use this skill to pressure-test fit before you invest.

When to trigger

  • Choosing among possible projects or framings for a JPART submission
  • A reviewer/colleague said the paper feels "atheoretical" or "like a program evaluation"
  • Deciding between JPART and a sibling journal (PAR, JPAM, Governance)
  • Sharpening the question so it speaks to a public-management mechanism, not just a setting

The JPART fit test

A strong JPART paper usually clears all four:

  1. A public-management theory contribution. The paper extends, tests, bounds, or overturns a theory about how the public sector works — bureaucratic behavior, public service motivation, red tape, representative bureaucracy, performance management, collaborative/network governance, behavioral PA.
  2. A mechanism, not just an effect. Name why the relationship holds (incentives, identity, motivation, information, institutions), so the result generalizes beyond your case.
  3. Rigor JPART reviewers will accept. Increasingly experimental and causal — survey/lab/field experiments on public employees or citizens, multilevel observational designs, mixed methods (see jpart-research-design).
  4. An answerable scope within ~12,000 words (the cap includes abstract, tables, and references — see jpart-writing-style).

Which public-administration venue? (route, don't misfile)

Your paper is really…Best venueWhy
A public-management theory tested with rigorous empiricsJPARTtheory + research is the journal's core identity
A broad, integrative, or practitioner-facing essayPublic Administration Review (PAR)PAR is broader and more practice-oriented
A program evaluation / policy-analysis estimateJPAMJPAM is the policy-analysis venue
Comparative institutions / government, lighter on management theoryGovernanceGovernance centers institutions, not PA mechanisms
Show full SKILL.md (279 more words)Show less

Reject-by-sibling symptoms

Use sibling venues as a diagnostic, not as a prestige ladder:

  • PAR symptom: the manuscript's strongest sentence is a managerial or practitioner recommendation, while the theory move is broad, synthetic, or essay-like. Reframe only if the paper can test a precise public-management mechanism rather than mainly advising practice.
  • JPAM symptom: the identification strategy is excellent, but the estimand is a program-impact answer and the public-management theory section is decorative. Move to JPART only if the design tests why public organizations, managers, employees, or citizens behave differently under a named mechanism.
  • Governance symptom: the paper is really about comparative institutions, regime structure, state capacity, or intergovernmental authority, with management behavior in the background. It becomes JPART only when the causal or theoretical hinge is a public-management process.

The useful question is not "can I cite PA literature?" but "would the result travel to another public organization because the mechanism is portable?" If portability depends only on the case setting, the fit is weak.

Topic families JPART actively publishes

  • Bureaucratic behavior & motivation: public service motivation (PSM), red tape, prosocial behavior
  • Representation & equity: representative bureaucracy (passive → active representation)
  • Performance: performance management, performance information use, goal ambiguity
  • Governance: collaborative governance, networks, contracting, co-production
  • Behavioral PA: citizen/employee experiments on perception, blame, fairness, trust

Anti-patterns

  • "This setting has not been studied" as the whole contribution (descriptive, no theory)
  • A clean causal estimate with no public-management mechanism or theoretical stake
  • A policy-evaluation paper dressed up for JPART when JPAM is the real home
  • A sprawling question that cannot be answered within ~12,000 words (incl. refs and tables)

Output format

【Question】one sentence
【PA theory it speaks to】PSM / red tape / representation / performance / governance / behavioral PA
【Mechanism】why the relationship holds
【Contribution type】extend / test / bound / overturn a theory
【Portability】what travels beyond this agency/program/country?
【Venue verdict】JPART vs PAR / JPAM / Governance (why)
【Next】jpart-literature-positioning

Supplementary resources

© 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-Public-Administration-Research-and-Theory-Skills/skills/jpart-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jpart 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.

Jpart Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jpart Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Table Fitasgeirtj/system_prompts_leaks69k—~772Automated safety check: PassCC0-1.0
Furniture Fit Checkpascalorg/editor25k—~5.1kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio576—~294Automated safety check: PassMIT
Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: PassCustom licence
Bestblogs Topicginobefun/BestBlogs4k—~670Automated safety check: PassNone

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Questions about Jpart Topic Selection

What does Jpart Topic Selection do?

A skill your agent uses when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance). Jpart Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a public-administration project fits the Journal of Public Administration Research and Theory (JPART) rather than a sibling venue (PAR, JPAM, Governance).

How do I install Jpart Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-topic-selection -a claude-code`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jpart-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Jpart Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-topic-selection -a codex`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jpart-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Jpart Topic Selection 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 jpart-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/jpart-topic-selection, .gemini/skills/jpart-topic-selection, .github/skills/jpart-topic-selection and .opencode/skills/jpart-topic-selection in your project.

What does Jpart Topic Selection need to run?

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

Does Jpart Topic Selection 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 Jpart Topic Selection 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 Jpart Topic Selection use?

Jpart 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.

How many tokens does Jpart Topic Selection use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Jpart Topic Selection?

Skills that share tags, products or a category with Jpart Topic Selection: Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars), Topics (ZimoLiao/scholaraio, 576 stars) and Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jpart Topic Selection?

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.