Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Isr Theory Development

ASecurity

Use when building or refining the mechanism for an Information Systems Research (ISR) manuscript — deriving behavioral hypotheses for empirical work or analytical propositions/equilibrium predictions for modeling work, always centered on the IT artifact and the sociotechnical interplay across levels of analysis. Builds the theory; it does not test it (isr-methods, isr-data-analysis).

1,052 stars
0 votes
0 copies
0 views
Added 6/5/2026
ai-agentsgosecurityperformance

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill isr-theory-development --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Isr Theory Development?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Isr Theory Development
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-isr-theory-development/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-isr-theory-development)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: isr-theory-development
description: Use when building or refining the mechanism for an Information Systems Research (ISR) manuscript — deriving behavioral hypotheses for empirical work or analytical propositions/equilibrium predictions for modeling work, always centered on the IT artifact and the sociotechnical interplay across levels of analysis. Builds the theory; it does not test it (isr-methods, isr-data-analysis).
---

# Theory Development (isr-theory-development)

## When to trigger

- Your predictions are descriptive ("IT use relates to performance") with no mechanism
- You have an analytical model but the propositions are unmotivated or the comparative statics are not theorized
- A reviewer says "where is the IS theory?" or "this could be any social science"
- You must connect a behavioral and an economic/design logic (intradisciplinary work)

## Two theorizing modes — match yours to your genre

ISR houses **behavioral/empirical** and **analytical/economic & design-science** research as co-equal genres. The shape of "theory" differs:

- **Behavioral mode.** Build an explicit causal **mechanism** centered on the IT artifact: how a feature of the system, platform, or algorithm changes cognition, affect, behavior, interaction, or organizing — then derive hypotheses *a priori*. State the boundary conditions and the level(s) (individual → group → firm → network → society). Theorize mediation (the process) and moderation (when it strengthens/weakens), not just main effects.
- **Analytical mode.** Specify agents, payoffs, information structure, and the IT-enabled decision (e.g., platform pricing, security investment, contracting, recommendation, data sharing). The **assumptions are the theory**: justify each, derive equilibrium results, and read the **comparative statics** as the propositions. The contribution is the qualitative insight ("when X, the platform optimally does Y"), not the algebra.

## Make it sociotechnical and intradisciplinary

ISR's distinctive identity is **bridging IS silos**. The strongest manuscripts let the social and the technical co-determine the outcome and connect perspectives that usually stay separate — e.g., an economic model whose parameters are disciplined by behavioral evidence, or a behavioral study whose design is informed by a design-science artifact. Single-paradigm theory is publishable but the intradisciplinary, silo-bridging move is what ISR prizes. If you are combining methods, the 2025 multimethod-research framework editorial (ISR 36(2)) expects you to state how each method's theory informs the others.

## Anchor every construct to the IT artifact

The IT artifact must do theoretical work. For each construct, ask: would the prediction change if the technology were different? If not, the theory is not yet about IS.

## Checklist

- [ ] Genre named (behavioral vs analytical vs design-science) and theory shaped accordingly
- [ ] Behavioral: explicit mechanism + a priori hypotheses + mediation/moderation + level(s)
- [ ] Analytical: agents/payoffs/information stated; assumptions justified; propositions = comparative statics
- [ ] IT artifact does load-bearing theoretical work
- [ ] Sociotechnical co-determination is visible; an intradisciplinary bridge is attempted
- [ ] Boundary conditions and scope stated

## Anti-patterns

- **Decorated correlations**: "H1: A is positively related to B" with no mechanism.
- **Algebra-as-theory**: deriving an equilibrium without articulating the IS insight it yields.
- **Technology as backdrop**: a mechanism that would hold for any tool.
- **Forced multimethod**: stapling a model to an experiment without a shared theoretical logic.

## Output format

```
【Genre】behavioral / analytical / design-science
【Mechanism or model】[...]
【Predictions】hypotheses (a priori) / propositions (comparative statics)
【IT-artifact role】load-bearing? [...]
【Sociotechnical + intradisciplinary】[...]
【Boundary conditions】[...]
【Next step】isr-literature-positioning or isr-methods
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →