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Agent skill

Respol Theory Development

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary…

MITAuto-check passedData & Analytics

Install Respol Theory Development

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-theory-development --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-Policy-Skills/skills/respol-theory-development .claude/skills/respol-theory-development && 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
respol-theory-development
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
576 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary…

  • Works in 4 steps: Antecedent — the innovation cause (a… → Mechanism — the innovation process it… → Outcome — the innovation object affected… → …
  • The conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism
  • SKILL.md covers When to trigger, The Research Policy theory bar, Building the argument (the… and Adapting by tradition, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Respol Theory Development is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary readership will accept as a contribution. Builds the theory; it does not run the analysis (respol-data-analysis) or write the final contribution paragraph (respol-contribution-framing).

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.

It sits in Data & Analytics, covering Data analysis. 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

  • The conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism
  • Framework that an interdisciplinary readership will accept as a contribution

Example prompts

  • “/respol-theory-development”

Workflow steps

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

  1. Antecedent — the innovation cause (a policy, an institutional arrangement, a knowledge source, an organizational practice) and why it…
  2. Mechanism — the innovation process it triggers: knowledge recombination, spillover/absorption, appropriability shift, selection pressure…
  3. Outcome — the innovation object affected (invention, diffusion rate, entry, productivity of R&D, direction of search), defined at a stated…
  4. Boundary / system context — the institutional or sectoral conditions under which the mechanism strengthens, weakens, or reverses (e.g…

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

Respol Theory Development loads about 1.4k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 576 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
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). 576 words, ~1,362 tokens.

Download SKILL.mdSave it as .claude/skills/respol-theory-development/SKILL.md (or your agent's skills folder).
name
respol-theory-development
description
Use when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary readership will accept as a contribution. Builds the theory; it does not run the analysis (respol-data-analysis) or write the final contribution paragraph (respol-contribution-framing).

Theory Development (respol-theory-development)

When to trigger

  • The empirics are solid but the paper "just measures something" with no innovation-theory advance
  • A referee says "the contribution is empirical only" or "what do we learn about innovation we didn't know?"
  • The argument leans on one borrowed framework (absorptive capacity, NIS, open innovation) by name only
  • A qualitative/case study has rich data but no crisp constructs or propositions yet
  • The mechanism linking the innovation cause to the innovation outcome is implicit or hand-waved

The Research Policy theory bar

RP is interdisciplinary, so "theory" is pluralist: it can be economic (incentives, market/coordination failures, appropriability), managerial/organizational (capabilities, search, recombination, governance of R&D), or evolutionary/STS (selection, path dependence, socio-technical regimes, the social shaping of technology). What RP will not accept is atheoretical measurement. The contribution must change how an innovation-studies reader understands a mechanism, an institution, or a system — and the argument must be legible across disciplines, not buried in one field's jargon.

Because RP carries the SPRU/Freeman-Nelson-Pavitt tradition, system- and institution-level reasoning is valued: tie firm- or patent-level findings up to how the innovation system works (incentives, linkages, knowledge flows, policy) rather than stopping at a coefficient.

Building the argument (the innovation-mechanism chain)

For the focal claim, make each link explicit:

  1. Antecedent — the innovation cause (a policy, an institutional arrangement, a knowledge source, an organizational practice) and why it bites here.
  2. Mechanism — the innovation process it triggers: knowledge recombination, spillover/absorption, appropriability shift, selection pressure, signaling, coordination of complementary actors. Name the tradition and the process verb (recombines, diffuses, appropriates, selects, legitimates).
  3. Outcome — the innovation object affected (invention, diffusion rate, entry, productivity of R&D, direction of search), defined at a stated level (inventor, firm, region, sector, system).
  4. Boundary / system context — the institutional or sectoral conditions under which the mechanism strengthens, weakens, or reverses (e.g., appropriability regime, technological opportunity, absorptive capacity of the receiving unit).

State the level of analysis and keep the theory at the level where the mechanism operates; flag cross-level claims (inventor → region) as such.

Show full SKILL.md (241 more words)Show less

Adapting by tradition

  • Economic frame: identify the market/coordination failure the innovation policy or institution addresses; predict the sign and the welfare/efficiency logic.
  • Managerial/organizational frame: theorize the capability or search process; specify what the firm does differently and why it yields innovation.
  • Evolutionary/STS frame: specify variation-selection-retention or the socio-technical configuration; avoid post-hoc storytelling — make the proposition falsifiable.
  • Theory-building (qualitative): do not force a priori hypotheses; build a grounded model with emergent propositions and explicit constructs, and argue the theoretical generalization (not statistical) your cases support.

Checklist

  • The paper advances an innovation mechanism/framework, not just a measurement
  • The driving tradition (economic / managerial / evolutionary-STS) is named and its logic used, not just cited
  • Firm/patent-level findings are connected up to the innovation-system or policy level
  • Level of analysis is stated and consistent across argument and design
  • Boundary/system conditions are theorized, not just listed
  • For qualitative work, constructs and propositions are crisp and generalizable theoretically
  • At least one rival explanation is named and engaged

Anti-patterns

  • Atheoretical measurement: a clean indicator with no claim about how innovation works
  • Framework name-dropping: invoking NIS / absorptive capacity / open innovation without using its actual logic
  • Stopping at the coefficient: never connecting the estimate up to the innovation system or policy
  • Single-discipline opacity: an argument only one field can read, in an interdisciplinary journal
  • HARKing in disguise: propositions reverse-engineered from the results in a "build" paper
  • Boundary as decoration: a moderator with no theoretical account of why the mechanism shifts

Output format

text
【Journal】Research Policy
【Skill】respol-theory-development
【Tradition】economic / managerial-organizational / evolutionary-STS / theory-building
【Mechanism chain】antecedent → innovation process → outcome (level)
【System/policy link】how it scales up to the innovation system
【Boundary conditions】where it strengthens / weakens / reverses
【Rival explanation addressed】...
【Verdict】pass / revise / reroute
【Next skill】respol-literature-positioning

© 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-Policy-Skills/skills/respol-theory-development of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Respol Theory Development

What does Respol Theory Development do?

A skill your agent uses when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary…. Respol Theory Development is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism or framework that an interdisciplinary readership will accept as a contribution.

When should I use Respol Theory Development?

Respol Theory Development fits situations like: the conceptual argument is the bottleneck for a Research Policy (RP) manuscript — building an innovation-studies mechanism; framework that an interdisciplinary readership will accept as a contribution.

How do I install Respol Theory Development in Claude Code?

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

How do I install Respol Theory Development in Codex?

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

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

What does Respol Theory Development need to run?

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

Does Respol Theory Development 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 Respol Theory Development 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 Respol Theory Development use?

Respol Theory Development 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 Respol Theory Development 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 Respol Theory Development?

Skills that share tags, products or a category with Respol Theory Development: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 212 stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Respol Theory Development?

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.