A skill your agent uses when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice.

MITAuto-check passed

Install Pubar Theory Building

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-theory-building -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-theory-building --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/Public-Administration-Review-Skills/skills/pubar-theory-building .claude/skills/pubar-theory-building && 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
pubar-theory-building
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
864 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice.

  • Works in 4 steps: Concept — define the key constructs… → Mechanism — the… → Observable implications — what we should… → …
  • SKILL.md covers When to trigger, Build the argument (by mode of…, The dual test (PAR-specific) and The "Evidence for Practice"…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pubar Theory Building is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice. PAR rewards a clear, portable mechanism with explicit scope conditions plus a defensible practitioner "so-what." Structures the argument; it does not run analyses.

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.

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

  • “so-what.”
  • “/pubar-theory-building”

Workflow steps

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

  1. Concept — define the key constructs precisely (e.g., red tape, goal ambiguity, PSM, network
  2. Mechanism — the behavioral/organizational story: which actor (bureaucrat, manager, citizen,
  3. Observable implications — what we should see if the mechanism operates (and what we should
  4. Scope conditions — which governance level, sector, or institutional setting the argument holds

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

Pubar Theory Building loads about 1.9k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 864 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
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). 864 words, ~1,858 tokens.

Download SKILL.mdSave it as .claude/skills/pubar-theory-building/SKILL.md (or your agent's skills folder).
name
pubar-theory-building
description
Use when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice. PAR rewards a clear, portable mechanism with explicit scope conditions plus a defensible practitioner "so-what." Structures the argument; it does not run analyses.

Theory & Argument Building (pubar-theory-building)

At PAR a result is not a contribution until it is attached to an argument public-management scholars can use elsewhere and a practical implication a manager can act on. This skill turns findings into theory: explicit mechanisms, scope conditions, and observable implications — in the idiom of public administration, where context (institutions, law, political control, public values) is central.

When to trigger

  • The empirics are strong but the "so what / why" is thin
  • A reviewer said the paper is "atheoretical," "ad hoc," or "just a program description"
  • You need to state mechanisms, assumptions, and scope conditions explicitly
  • A Conceptualizing Public Administration thought piece (theory is the whole contribution)

Build the argument (by mode of work)

Empirical paper with a theory
  1. Concept — define the key constructs precisely (e.g., red tape, goal ambiguity, PSM, network integration); distinguish from neighbors and from informal usage.
  2. Mechanism — the behavioral/organizational story: which actor (bureaucrat, manager, citizen, politician) does what, under which incentives, constraints, and public-sector context.
  3. Observable implications — what we should see if the mechanism operates (and what we should not see). These become the tests in pubar-research-design.
  4. Scope conditions — which governance level, sector, or institutional setting the argument holds in. Portability ≠ universality; public-sector context is a feature, not noise.
Conceptual / theory piece (Conceptualizing PA)
  • State the field-level problem the concept addresses before the synthesis.
  • Build the argument through reasoning and the literature, not hypotheses; engage the strongest counter-view and rival framings.
  • Show what the reframing lets the field see, measure, or manage that it could not before.

The dual test (PAR-specific)

Ask two questions:

  1. Portability — Could a scholar in another PA subfield import this mechanism/concept? If only your exact case works, tighten it into a general logic or reframe (back to pubar-topic-selection).
  2. Practice — Can the mechanism be stated as something a manager could change? If the mechanism has no managerial lever, the Evidence for Practice points will ring hollow.

The "Evidence for Practice" box (a PAR signature requirement)

PAR asks empirical articles to carry an Evidence for Practice box — a short bulleted list (typically 3–5 points) of what the findings mean for those who run public organizations. Editors and reviewers treat it as a checked contribution element, not decoration, so build it from the mechanism, not as an afterthought:

  • One actionable bullet per implication; lead with the action, not the finding ("Protect frontline discretion when…", not "We found discretion matters").
  • Trace each bullet to the mechanism so a reviewer can follow bullet → lever → evidence; if a bullet has no antecedent mechanism, it is decorative and will be cut.
  • Calibrate certainty to the design — an observational association is not a causal lever; hedge honestly and stay inside the scope conditions ("in turbulent environments," not "everywhere").
  • Address the right actor and level — frontline supervisor vs. agency head vs. oversight body; a lever only one of them controls should name that actor.
  • Avoid generic exhortation ("managers should pay attention to X"); say what to do differently.
Show full SKILL.md (367 more words)Show less

Position within PAR's live theory conversations

A contribution lands when it advances a recognized public-administration conversation rather than a private vocabulary. Name and engage the relevant tradition, and say what your mechanism adds or revises:

  • Behavioral / individual level — public service motivation (PSM), red tape and administrative burden, goal ambiguity, representative bureaucracy at the street level.
  • Organizational / political level — bureaucratic discretion, political control of agencies, performance management and accountability regimes.
  • Institutional / values level — public values and public-value creation, equity and procedural justice, legitimacy.
  • System / network level — collaborative governance, networks, co-production, and reform paradigms (NPM, post-NPM, digital-era / AI-era governance).

"Context as a feature, not noise" means stating which of these settings your scope conditions invoke, and (for the strongest papers) bridging two levels with an explicit cross-level logic.

Anti-patterns

  • "Hypothesizing after results are known" (HARKing) — state theory before tests; preregister where possible
  • A mechanism named but never made observable
  • Universal claims with no scope conditions, ignoring public-sector context
  • A practitioner "so-what" that does not follow from the mechanism (decorative Evidence for Practice)
  • Burying the argument under the empirics — the contribution paragraph must state it plainly

Worked micro-example (before → after)

Before (thin): "We find that managerial networking is positively associated with school district performance. Managers should network more." — an association plus a generic exhortation; no mechanism, no scope, decorative practice point.

After (PAR-grade):

  • Mechanism — external networking lets public managers buffer environmental shocks and import resources and legitimacy; the managerial lever is how the manager allocates time between external and internal management.
  • Observable implications — performance gains concentrate where environmental turbulence is high and slack is low, and are absent where the task environment is stable (a test, and a placebo).
  • Scope conditions — local service agencies whose managers hold discretion over external engagement; the logic weakens under tight central control.
  • Portability — any PA subfield where managers mediate an organization–environment boundary can import the time-allocation lever.
  • Practice so-what (Evidence for Practice seed) — "In turbulent environments, protect managers' time for external engagement; in stable environments, redirect that time to internal management."

The "after" version is portable and gives a manager something to change — both arms of the dual test.

Output format

【Core claim】one sentence
【Mechanism】the behavioral/organizational story + the managerial lever
【Observable implications】testable consequences → research-design
【Scope conditions】which level / sector / institutional setting
【Portability】who else in PA can use this argument
【Practice so-what】the Evidence-for-Practice seed
【Next】pubar-research-design

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 Public-Administration-Review-Skills/skills/pubar-theory-building of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Anthropic Administrator AutomationComposioHQ/awesome-claude-skills77k3 repos~774Automated safety check: PassNone
Game Theorybrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.7kAutomated safety check: PassCustom licence
Asymptotic Theorybrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~4.6kAutomated safety check: PassCustom licence

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Questions about Pubar Theory Building

What does Pubar Theory Building do?

A skill your agent uses when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice. Pubar Theory Building is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical argument of a Public Administration Review (PAR) manuscript into a contribution that advances public-management theory and informs practice.

How do I install Pubar Theory Building in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-theory-building -a claude-code`. Or copy the skill folder (Public-Administration-Review-Skills/skills/pubar-theory-building in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/pubar-theory-building in your project. Claude Code loads it when a task matches its description.

How do I install Pubar Theory Building in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-theory-building -a codex`. Or copy the skill folder (Public-Administration-Review-Skills/skills/pubar-theory-building in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/pubar-theory-building in your project. Codex loads it when a task matches its description.

Can I use Pubar Theory Building 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 pubar-theory-building -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pubar-theory-building, .gemini/skills/pubar-theory-building, .github/skills/pubar-theory-building and .opencode/skills/pubar-theory-building in your project.

What does Pubar Theory Building need to run?

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

Does Pubar Theory Building 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 Pubar Theory Building 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 Pubar Theory Building use?

Pubar Theory Building 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 Pubar Theory Building use?

About 1.9k tokens (SKILL.md is roughly 7.4k 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 Pubar Theory Building?

Skills that share tags, products or a category with Pubar Theory Building: Integration Theory (parcadei/Continuous-Claude-v3, 3.9k stars), Statistical Theory Analysis (aiming-lab/AutoResearchClaw, 15k stars), Anthropic Administrator Automation (ComposioHQ/awesome-claude-skills, 77k stars) and Game Theory (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pubar Theory Building?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.