A skill your agent uses when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling…

MITAuto-check passedData & Analytics

Install Etp Methods

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills etp-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/Entrepreneurship-Theory-and-Practice-Skills/skills/etp-methods .claude/skills/etp-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
etp-methods
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
804 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling…

  • Process-observation problems unique to new ventures
  • SKILL.md covers When to trigger, ETP is method-plural but…, The four threats ETP referees… and Qualitative rigor at ETP, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Data analysis

What it does

Etp Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling the selection, survivorship, and process-observation problems unique to new ventures. Designs the study; it does not estimate it (etp-data-analysis) or frame the contribution (etp-contribution-framing).

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.

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

  • Process-observation problems unique to new ventures
  • Tasks that involve Data analysis

Example prompts

  • “/etp-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

Etp Methods loads about 1.9k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 804 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
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). 804 words, ~1,917 tokens.

Download SKILL.mdSave it as .claude/skills/etp-methods/SKILL.md (or your agent's skills folder).
name
etp-methods
description
Use when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling the selection, survivorship, and process-observation problems unique to new ventures. Designs the study; it does not estimate it (etp-data-analysis) or frame the contribution (etp-contribution-framing).

Methods & Research Design (etp-methods)

When to trigger

  • You are choosing a design and unsure it can observe the entrepreneurial process you theorize
  • A reviewer flags selection into entrepreneurship, survivorship bias, or an undocumented sampling frame
  • The design is cross-sectional but the theory is a venturing process
  • You are weighing inductive qualitative work, experiments, archival venture panels, or mixed methods
  • Construct validity for an entrepreneurial measure (alertness, effectuation, SEW, passion) is in doubt

ETP is method-plural but theory-first

ETP publishes strong quantitative, qualitative, and mixed-methods work; it has no single preferred method. The constant is that the design must let you build or test entrepreneurship theory and that it confronts the inference problems that are endemic to studying new ventures. Choose the design that can actually observe the mechanism, then design against the entrepreneurship-specific threats below — these are the things ETP referees reflexively probe.

Entrepreneurial question / claimFitting design
How ventures/opportunities emerge; sensemaking; identity workInductive qualitative (Gioia, process), longitudinal cases
Founder decision logic / cognition under uncertaintyExperiments, conjoint / policy-capturing, verbal protocols
Antecedents/consequences across many venturesArchival venture panels (Crunchbase, PitchBook, GEM, PSED/KFS, registries)
Founding, exit, IPO, failure, time-to-eventSurvival / event-history models
Financing signals (VC, angels, crowdfunding)Field/natural experiments; panels with funding events
Family-firm behavior (SEW)Survey + archival; sometimes dyadic/family data
Theory-building plus generalizationMixed methods (qual to build, quant to test)

The four threats ETP referees reflexively probe

  • Selection into entrepreneurship. Founders self-select; comparing them to non-founders, or treating "who became an entrepreneur" as random, invites a Heckman/Roy or design-based response. Ignoring selection is a near-automatic flag.
  • Survivorship. New-venture samples lose failed ventures fast; a sample of survivors silently conditions on success and biases any "what makes ventures succeed" claim. Push the frame upstream to nascent/registry panels (PSED-style) that capture pre-founding and failed ventures.
  • Process observability and temporal precedence. To claim antecedents or a process, the design must order constructs in time — longitudinal waves, pre/post a shock, staged measurement. A single cross-section cannot carry a venturing-process claim.
  • Construct validity for entrepreneurial constructs. Effectuation, alertness, passion, SEW, and entrepreneurial orientation are contested measures; cite the validated scale, report reliability, and show discriminant validity from the generic relabel (e.g., effectuation ≠ improvisation; SEW ≠ ownership concentration).

Qualitative rigor at ETP

For inductive work, ETP expects a visible trustworthiness apparatus: a clear data structure (1st-order codes → 2nd-order themes → aggregate dimensions), an audit trail, representative quotations tied to informants, and a process model as the output. Sampling logic (theoretical, not convenience) and saturation should be argued. A rich story without this scaffolding reads as journalism to a methods-attentive ETP reviewer.

Execution bridge (StatsPAI / Stata MCP)

For the empirical / causal lane, estimate and audit rather than only specify. Full map: execution-with-mcp. ETP is entrepreneurship, where selection and survival bias are pervasive — foreground identification and selection corrections.

  • detect_design → recommend → fit with as_handle=true → audit_result to enumerate the checks the design owes.
  • Panel / 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 and romano_wolf for the many-outcome family-wise correction reviewers expect.

Match the toolchain to the reviewer pool, and report the effect size the venue wants. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.

Show full SKILL.md (279 more words)Show less

Checklist

  • The design can actually observe/test the theorized entrepreneurial mechanism
  • Selection into founding is modeled or addressed by design
  • Survivorship/attrition handled in the sampling frame, not patched statistically later
  • Temporal precedence supports any antecedent/process claim
  • Entrepreneurial constructs use validated scales with reliability + discriminant validity
  • Qualitative: data structure, audit trail, theoretical sampling, quotations, process model
  • Sample frame, coverage, and construction documented (especially for novel datasets)

Anti-patterns

  • Survivor-only sample treated as representative of venture creation
  • Cross-sectional self-report used to claim a dynamic entrepreneurial process
  • Selection ignored — founders compared to non-founders as if assignment were random
  • Construct relabeling — a generic measure renamed as an entrepreneurial one
  • Convenience startup sample with an undocumented frame
  • Thin qual — vivid quotes, no data structure or audit trail

Worked vignette (illustrative)

A study claims that founders' prior startup failure causes faster pivoting in their next venture, using a panel of funded startups. An ETP methods reviewer sees three traps at once. Survivorship: the panel only includes ventures that secured funding and survived long enough to be observed pivoting — failures that died before pivoting are invisible, so "failure speeds pivoting" may be an artifact of who survived. Selection: founders who start again after failure differ systematically from those who quit; the comparison is not random. Temporal precedence: pivoting must be measured after the prior-failure exposure, not concurrently. The design fix moves the frame upstream to a nascent/registry panel (PSED-style) that captures ventures from formation regardless of survival, models the founding/restart decision (Heckman or a design-based shock to who restarts), and times the pivot measurement strictly after the failure. Only then does the antecedent claim survive — and the analysis hands off to an event-history model in etp-data-analysis.

Output format

text
【Journal】Entrepreneurship Theory and Practice
【Question→design fit】design + why it observes the entrepreneurial mechanism
【Selection】founding-choice strategy (model / design-based / N/A + why)
【Survivorship/attrition】sampling-frame handling
【Temporal precedence】how constructs are ordered in time
【Construct validity】scale + reliability + discriminant evidence
【Qual rigor】data structure / audit trail / saturation (if applicable)
【Next skill】etp-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 Entrepreneurship-Theory-and-Practice-Skills/skills/etp-methods of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Etp Methods

What does Etp Methods do?

A skill your agent uses when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling…. Etp Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or defending the research design for an Entrepreneurship Theory and Practice (ETP) manuscript — matching a method to an entrepreneurial question and handling the selection, survivorship, and process-observation problems unique to new ventures.

When should I use Etp Methods?

Etp Methods fits situations like: process-observation problems unique to new ventures; tasks that involve Data analysis.

How do I install Etp Methods in Claude Code?

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

How do I install Etp Methods in Codex?

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

Can I use Etp 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 etp-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/etp-methods, .gemini/skills/etp-methods, .github/skills/etp-methods and .opencode/skills/etp-methods in your project.

What does Etp Methods need to run?

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

Does Etp 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 Etp 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 Etp Methods use?

Etp 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 Etp Methods use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Etp Methods?

Skills that share tags, products or a category with Etp Methods: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Diagnostic Study Quality Assessment Quadas (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Etp Methods?

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.