A skill your agent uses when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal…

MITAuto-check passedLegal & Compliance

Install Respol Methods

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-methods --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-methods .claude/skills/respol-methods && 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-methods
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
644 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal…

  • Research design
  • SKILL.md covers When to trigger, The Research Policy methods…, Design paths by method and Execution bridge (StatsPAI /…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric

What it does

Respol Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim. Sets the design; it does not execute the estimation/coding (respol-data-analysis).

Its SKILL.md is about 1.6k 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 Legal & Compliance, covering Intellectual property and 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

  • Research design
  • Measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric
  • Causal policy evaluation
  • Mixed) appropriate to an innovation-studies claim

Example prompts

  • “/respol-methods”

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 Methods loads about 1.6k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 644 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 644 words, ~1,582 tokens.

Download SKILL.mdSave it as .claude/skills/respol-methods/SKILL.md (or your agent's skills folder).
name
respol-methods
description
Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim. Sets the design; it does not execute the estimation/coding (respol-data-analysis).

Methods (respol-methods)

When to trigger

  • The design is a default (OLS + controls, or a single case) and a referee questions whether it can support the claim
  • A patent or bibliometric indicator is used as if it transparently measures "innovation" or "knowledge"
  • A policy-evaluation paper rests on before/after comparison without an identification strategy
  • A survey reports correlations vulnerable to common-method bias or selection
  • A mixed-methods paper is really two studies stapled together with no integration logic

The Research Policy methods bar: pluralism with construct discipline

RP privileges no single technique — econometrics, bibliometrics/patent analysis, surveys, case studies, and mixed methods are all first-class — but it demands that the method fit the innovation-studies claim and that constructs be defended. The recurring RP failure is not weak statistics; it is treating an indicator (patents, citations, R&D spend) as if it were the latent thing (invention, knowledge flow, innovation effort). State what each measure does and does not capture, and design around its known biases.

Design paths by method

Patent / bibliometric quantitative
  • Construct validity first. Patents measure patentable invention propensity, not innovation; citations measure traceable knowledge linkage, not knowledge value. Justify the indicator for your claim and acknowledge truncation, sectoral propensity, and home/strategic bias.
  • Citation hygiene. Distinguish examiner- vs. applicant-added citations; correct self-citations; handle citation truncation (fixed windows or quasi-structural correction).
  • Endogeneity. Patent/co-patent measures of spillovers are endogenous to firm location and choices — defend with design (instruments, natural experiments) or bound the bias, don't assume exogeneity.
  • Family/coverage. State the patent office(s), family definition (DOCDB/INPADOC), and the matching of patents to firms/regions.
Causal policy evaluation (R&D subsidies, missions, IP reform)
  • Move beyond naive before/after: DID with a credible control (and, for staggered policy rollout, Callaway-Sant'Anna / Sun-Abraham / de Chaisemartin-D'Haultfœuille rather than plain TWFE); IV with a defended exclusion restriction; RDD at an eligibility threshold with density and covariate-smoothness checks.
  • Tie the estimand to the innovation mechanism (additionality vs. crowding-out, direction vs. rate of innovation), and argue policy-invariance for any counterfactual.
Survey (firm innovation behavior, CIS-style)
  • Report sampling frame, response rate, and non-response/selection checks; address common-method bias by design (separated sources, marker variables, Harman is necessary not sufficient).
  • Establish measurement validity (construct definitions, reliability, discriminant validity) before structural claims; state the population the estimates generalize to.
Case study / qualitative
  • Justify case selection on theoretical grounds (typical, extreme, polar); specify data sources and triangulation; pursue analytic (not statistical) generalization; show how rich data became constructs.
Show full SKILL.md (248 more words)Show less
Mixed methods
  • State the integration logic: does the qualitative work generate the mechanism the quantitative work tests, or do the strands triangulate a construct? RP rejects "two papers in one" with no sequencing rationale.

Execution bridge (StatsPAI / Stata MCP)

Estimate and audit the design, don't only describe it. Full map: execution-with-mcp. Research Policy is innovation studies — patent/firm panels with selection; foreground identification and the selection objection.

  • detect_design → recommend → fit with as_handle=true → audit_result.
  • Observational causal claims: staggered DiD (callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result); IV (effective_f_test + anderson_rubin_ci); RDD (rdrobust + mccrary_test).
  • Experiments: randomization-based inference + romano_wolf for many-outcome control.
  • Sensitivity: oster_delta / sensemakr for observational claims.

Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.

Checklist

  • The method is chosen to fit the innovation-studies claim, not by convenience or fashion
  • Each patent/bibliometric indicator's construct meaning and known biases are stated
  • Citation measures handle examiner/applicant, self-citation, and truncation
  • Causal designs use a credible counterfactual and modern staggered-treatment estimators where TWFE would bias
  • Surveys report response/selection and address common-method bias by design
  • Qualitative work defends case selection and generalization type
  • Mixed methods state an explicit integration logic

Anti-patterns

  • "Patents = innovation" with no construct caveat
  • Spillover claims from co-location/citations treated as exogenous
  • Plain TWFE on a staggered policy rollout with no heterogeneity discussion
  • Survey structural models with unaddressed common-method bias
  • A single case framed as if it gave statistical generalization
  • Mixed methods with no sequencing or integration rationale

Output format

text
【Journal】Research Policy
【Skill】respol-methods
【Method】patent-bibliometric / causal-policy-eval / survey / case / mixed
【Construct defense】what the measure captures and its biases
【Identification / validity】counterfactual / first-stage / selection / triangulation
【Innovation-mechanism link】how the design speaks to the mechanism
【What it does NOT support】...
【Verdict】pass / revise / reroute
【Next skill】respol-data-analysis

© 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-methods of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Respol Methods 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.

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Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill1051 repos~959Automated safety check: PassNone
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Questions about Respol Methods

What does Respol Methods do?

A skill your agent uses when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal…. Respol Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim.

When should I use Respol Methods?

Respol Methods fits situations like: research design; measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric; causal policy evaluation; mixed) appropriate to an innovation-studies claim.

How do I install Respol Methods in Claude Code?

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

How do I install Respol Methods in Codex?

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

Can I use Respol Methods 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-methods -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-methods, .gemini/skills/respol-methods, .github/skills/respol-methods and .opencode/skills/respol-methods in your project.

What does Respol Methods need to run?

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

Does Respol Methods 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 Methods 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 Methods use?

Respol Methods 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 Methods use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Methods?

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Who maintains Respol Methods?

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.