Integration Theory
parcadei/Continuous-Claude-v3
Problem-solving strategies for integration theory in measure theory
A skill your agent uses when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution.
MITAuto-check passed
Install Jpart Theory Building
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-building --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-theory-building .claude/skills/jpart-theory-building && rm -rf skills-srcUse ~/.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/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .claude/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-buildingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-building --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building .agents/skills/jpart-theory-building && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .agents/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-building --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building .cursor/skills/jpart-theory-building && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .cursor/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-building --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building .gemini/skills/jpart-theory-building && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .gemini/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-buildingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building .github/skills/jpart-theory-building && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .github/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-theory-building --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building .opencode/skills/jpart-theory-building && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jpart-theory-building" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building into .opencode/skills/jpart-theory-building/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jpart-theory-building", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jpart-theory-building- GitHub stars
- 1.2k
- Token cost
- ~2k tokens
- SKILL.md length
- 904 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 Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution.
- Works in 4 steps: Concept. Define the key constructs… → Mechanism. The causal story in… → Observable implications. What we should… → …
- SKILL.md covers When to trigger, Build the argument, Theory contribution ledger and Mechanism-to-evidence gate, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jpart Theory Building is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution. JPART's defining demand is theory — its abstract template asks for the theoretical approach first and the implications for theory last. Structures the argument; it does not run analyses.
Its SKILL.md is about 2k 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-theory-building”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Concept. Define the key constructs precisely and distinguish them from neighbors — e.g., red tape
- Mechanism. The causal story in public-management terms: which actors (street-level bureaucrats,
- Observable implications. What we should see if the mechanism operates — and what we should not.
- Scope conditions. Where the theory holds and where it does not (sector, level of government,
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 Theory Building loads about 2k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 904 words of instructions outside code blocks.
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). 904 words, ~2,010 tokens.
Download SKILL.mdSave it as
.claude/skills/jpart-theory-building/SKILL.md (or your agent's skills folder).- name
- jpart-theory-building
- description
- Use when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution. JPART's defining demand is theory — its abstract template asks for the theoretical approach first and the implications for theory last. Structures the argument; it does not run analyses.
Theory Building (jpart-theory-building)
At JPART a result is not a contribution until it is attached to public-management theory the field can use elsewhere. The journal's own abstract template asks authors to state the theoretical approach first and to end with implications for theory — that ordering is the whole brief. This skill turns findings into theory: explicit constructs, mechanisms, scope conditions, and observable implications.
When to trigger
- The empirics are strong but the "so what for theory" is thin
- A reviewer said the paper is "atheoretical," "ad hoc," or "a finding in search of a theory"
- You need to state the mechanism and scope conditions of a PA relationship explicitly
- You are deciding whether you extend, test, bound, or overturn an existing PA theory
Build the argument
- Concept. Define the key constructs precisely and distinguish them from neighbors — e.g., red tape
vs. administrative burden, PSM vs. job satisfaction, passive vs. active representation. Measurement
follows the concept (see
jpart-research-design). - Mechanism. The causal story in public-management terms: which actors (street-level bureaucrats, managers, citizens, principals) do what, under which incentives, identities, motivations, or institutional constraints. A named mechanism is what makes the result portable.
- Observable implications. What we should see if the mechanism operates — and what we should not.
These become the tests in
jpart-research-designand the conditions in the analysis. - Scope conditions. Where the theory holds and where it does not (sector, level of government, task type, regime). Public-management theory rarely travels unconditionally; say where it breaks.
Theory contribution ledger
Before drafting, turn the theory section into a ledger. Each row must connect a public-administration construct to a mechanism, a rival account, and a testable implication. If a row cannot be filled, the paper is not ready to claim a JPART-level theory contribution.
| Ledger field | Strong entry | Weak entry |
|---|---|---|
| Construct | "Administrative burden as learning, compliance, and psychological costs" | "Bureaucracy" |
| Mechanism | "Managers reduce discretion because error costs are politically visible" | "It affects behavior" |
| Rival account | "Observed effect is agency selection, not frontline discretion" | "Other factors" |
| Observable implication | "Effects concentrate where rule ambiguity is high and audit threat is salient" | "There should be an effect" |
| Scope boundary | "Applies to rule-bound service delivery, not emergency response" | "Generalizes broadly" |
| Theory payoff | "Bounds red-tape theory by enforcement visibility" | "Has implications" |
Mechanism-to-evidence gate
Use the mechanism to decide what the empirical design must show. This prevents a theory section from
promising more than the design in jpart-research-design can support.
| Theory claim | Evidence needed before claiming it | Safer wording if evidence is weaker |
|---|---|---|
| X causes Y through mechanism M | Identification for X -> Y plus evidence that M moves in the predicted direction | "The pattern is consistent with M" |
| The effect differs across public-sector settings | Pre-specified heterogeneity, adequate power, and measurement invariance | "Exploratory heterogeneity suggests..." |
| A theory fails outside boundary B | Direct comparison across inside/outside-boundary cases | "Boundary B is a plausible limit" |
| A mechanism travels across countries or sectors | Comparable constructs and institutional translation | "The mechanism may travel where..." |
| Qualitative evidence revises theory | Case-selection logic, process observations, and rival-mechanism checks | "The case elaborates a possible revision" |
Show full SKILL.md (395 more words)Show less
Rival-theory stress test
JPART reviewers often reject theory sections that merely attach a familiar theory label to a result. Write the strongest rival theory in the same vocabulary as your own claim.
- Name the rival: selection, common-method perception, political principal control, resource capacity, professional norms, citizen sorting, or a competing PA theory.
- State its prediction in the same units as your mechanism.
- Identify the one result, pattern, or qualitative observation that would distinguish the two.
- If the manuscript cannot distinguish them, downgrade the claim from "shows" to "is consistent with" and make the rival a future-test agenda rather than hiding it.
Theory moves JPART rewards
| Move | What it looks like | Example shape |
|---|---|---|
| Extend | add a condition or actor to an existing theory | PSM matters, but only under low red tape |
| Test | bring a credible design to a claim long asserted | does passive representation become active under threat? |
| Bound | show where a theory fails | performance information shifts citizens — except for co-partisans |
| Overturn | replace a mechanism with a better one | the "effect" is selection, not motivation |
The portability test (JPART-specific)
Ask: Could a public-management scholar studying a different function, level, or country import this
mechanism? If yes, you have a theory contribution. If it only works for your exact agency, tighten it
into a general public-management logic or reframe (back to jpart-topic-selection).
Abstract-to-conclusion alignment
Because JPART asks the abstract to lead with theoretical approach and end with implications for theory, the theory contract must be visible at both ends of the paper.
- Abstract opening: name the theory or construct, not only the setting or policy problem.
- Introduction: state the theory move and the rival account before previewing the estimate.
- Theory section: define constructs, mechanism, observable implications, and scope conditions in that order.
- Results section: label each test by the observable implication it adjudicates.
- Conclusion: return to what changes for public-administration theory, not only what managers should do.
Anti-patterns
- "Hypothesizing after results are known" (HARKing) — state theory before tests; preregister where possible
- Constructs named but never distinguished from their neighbors (red tape ≈ burden, PSM ≈ satisfaction)
- A mechanism asserted but never made observable
- Universal claims with no scope conditions across sectors/levels of government
- Burying the theoretical payoff under the empirics — the abstract must lead with the theory approach
Output format
【Core claim】one sentence (public-management theory)
【Construct(s)】defined + distinguished from neighbors
【Mechanism】the causal story (actors + incentives/identity/institutions)
【Observable implications】testable consequences → research-design
【Scope conditions】sector / level / task where it holds or fails
【Theory move】extend / test / bound / overturn
【Rival theory】strongest alternative + distinguishing evidence
【Evidence gate】claim strength supported / needs softer wording / redesign needed
【Abstract alignment】theoretical approach first + implications for theory last? [Y/N]
【Next】jpart-research-designSupplementary resources
../../resources/exemplars/library.md— JPART theory papers (PSM, red tape, representation)../../resources/official-source-map.md— JPART abstract template (theory-first)
© 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-theory-building of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jpart Theory Building 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jpart Theory Building this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Integration Theoryparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~929 | Automated safety check: Notes | MIT | |
| Statistical Theory Analysisaiming-lab/AutoResearchClaw | 15k | — | ~375 | Automated safety check: Pass | MIT | |
| Anthropic Administrator AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~774 | Automated safety check: Pass | None | |
| Game Theorybrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Asymptotic Theorybrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~4.6k | Automated safety check: Pass | Custom licence |
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Statistical Theory Analysis
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Anthropic Administrator Automation
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Automate Anthropic Admin tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
Game Theory
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This skill covers game-theoretic methods in structural econometrics and industrial organization.
Asymptotic Theory
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Operator Theory
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Questions about Jpart Theory Building
What does Jpart Theory Building do?
A skill your agent uses when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution. Jpart Theory Building is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the theoretical argument of a Journal of Public Administration Research and Theory (JPART) manuscript into a public-management contribution.
How do I install Jpart Theory Building in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a claude-code`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jpart-theory-building in your project. Claude Code loads it when a task matches its description.
How do I install Jpart Theory Building in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-theory-building -a codex`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-theory-building in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jpart-theory-building in your project. Codex loads it when a task matches its description.
Can I use Jpart 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 jpart-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/jpart-theory-building, .gemini/skills/jpart-theory-building, .github/skills/jpart-theory-building and .opencode/skills/jpart-theory-building in your project.
What does Jpart Theory Building need to run?
SKILL.md names no scripts, command-line tools or credentials: Jpart Theory Building is instructions for the agent only.
Does Jpart 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 Jpart 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 Jpart Theory Building use?
Jpart 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 Jpart Theory Building use?
About 2k tokens (SKILL.md is roughly 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 Jpart Theory Building?
Skills that share tags, products or a category with Jpart 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 Jpart 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.