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Agent skill

Worlddev Identification

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

A skill your agent uses when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for…

MITAuto-check passedResearch & Science

Install Worlddev Identification

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills worlddev-identification --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/World-Development-Skills/skills/worlddev-identification .claude/skills/worlddev-identification && 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
worlddev-identification
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
763 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for…

  • The inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work
  • SKILL.md covers When to trigger, WD's pluralist standard, Referee pushback mapped to the… and Execution bridge (StatsPAI /…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A transparent inferential logic for qualitative and mixed-methods work

What it does

Worlddev Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for qualitative and mixed-methods work. Stress-tests the strategy to WD's pluralist bar before exhibits are finalized.

Its SKILL.md is about 1.7k 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 Research & Science, covering Load testing. 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 inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work
  • A transparent inferential logic for qualitative and mixed-methods work

Example prompts

  • “/worlddev-identification”

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

Worlddev Identification loads about 1.7k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 763 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 763 words, ~1,729 tokens.

Download SKILL.mdSave it as .claude/skills/worlddev-identification/SKILL.md (or your agent's skills folder).
name
worlddev-identification
description
Use when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for qualitative and mixed-methods work. Stress-tests the strategy to WD's pluralist bar before exhibits are finalized.

Identification & Inference Strategy (worlddev-identification)

When to trigger

  • A causal claim rests on OLS + controls, or TWFE on staggered timing
  • An RCT or quasi-experiment exists but the estimand and external relevance are unstated
  • A qualitative paper makes causal-sounding claims with no explicit inferential logic
  • A mixed-methods paper runs strands in parallel without saying how they jointly warrant the claim
  • You are unsure whether the evidence clears WD's bar for the kind of claim being made

WD's pluralist standard

WD does not impose a single identification template. It imposes a single demand: the route from evidence to claim must be explicit, defended, and matched to the claim's strength. A paper that says "is associated with" needs descriptive credibility; a paper that says "causes" needs a design that earns it; a paper that says "this mechanism explains why" needs a logic — quantitative or interpretive — that traces the mechanism. The cardinal sin at WD is a claim that outruns its warrant, in either direction (over-claiming causality from correlation, or burying a genuine causal design under hedging). Pick the branch that fits your claim and make the warrant transparent.

Branch A — Quantitative causal design
  • DID / event study: with staggered adoption, move past TWFE (Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille); show clean pre-trends; report a Goodman-Bacon decomposition where relevant.
  • IV: strong first stage; with weak instruments use Anderson–Rubin / weak-IV-robust sets; defend exclusion in institutions and theory, not just algebra — WD referees probe whether the instrument is plausible in that development context.
  • RDD: density (McCrary / Cattaneo–Jansson–Ma) test; optimal bandwidth + robustness; covariate smoothness; bias-corrected CIs.
  • RCT: explicit estimand; randomization balance; attrition (Lee bounds if differential); multiple-hypothesis adjustment; and — distinctively for WD — external relevance: why this site/sample teaches something beyond itself.
  • Inference clustered at the assignment/treatment level; address few-cluster issues (wild-cluster bootstrap). Spatial correlation matters in development data — consider Conley SEs.
Branch B — Qualitative inference

Qualitative is not second-class at WD. The bar is transparency of inference, not sample size.

  • Name the logic: process tracing, comparative case logic (most-similar / most-different), congruence testing, or interpretive thematic analysis — say which.
  • Case selection justified by the logic, not by convenience; explain why these cases can bear the claim.
  • Evidence trail: how data were generated (interviews, archives, observation), coding approach, and how rival explanations were tested and rejected (not merely mentioned).
  • Trustworthiness: triangulation across sources, attention to negative cases, reflexivity about the researcher's position.
Branch C — Mixed-methods integration

The contribution of a mixed-methods paper is the integration, not the coexistence of two strands. State the design (sequential explanatory, sequential exploratory, convergent) and what each strand does that the other cannot: e.g., the quant estimates how much, the qual explains why and for whom. A paper where the qualitative section is decorative will be read as a quantitative paper with an unexamined appendix.

Show full SKILL.md (306 more words)Show less

Referee pushback mapped to the fix

  • "OLS with controls is not identification." → Find a design (DID/IV/RDD) or downgrade the claim to descriptive and own it.
  • "Staggered TWFE is biased here." → Re-estimate with Callaway–Sant'Anna / Sun–Abraham; show flat leads.
  • "Why these three cases?" → Justify selection by the inferential logic and show how rivals were ruled out.
  • "The RCT is clean but local." → Argue external relevance: mechanism, scope conditions, transferable lessons.
  • "The qual and quant don't talk to each other." → Make the integration explicit; show the joint inference.

Execution bridge (StatsPAI / Stata MCP)

Estimate and audit the design, don't only describe it. Full map: execution-with-mcp. World Development is multidisciplinary development studies; the chain serves its quantitative-causal lane, mixed-methods work uses its own standards.

  • 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

  • Branch chosen; the evidence-to-claim route stated in one sentence
  • Quant: design-appropriate diagnostics (pre-trends / density / first-stage / balance); modern estimator where TWFE would bias; clustering correct
  • Qual: inferential logic named; case selection justified; rivals tested, not just listed
  • Mixed: integration design stated; each strand's distinct job is explicit
  • External relevance argued for single-site/single-case work
  • Inference reported with SEs / coverage (no significance asterisks); the claim never exceeds the warrant

Anti-patterns

  • "Causes" from OLS + controls with no design
  • Treating a qualitative paper as needing "more N" rather than a clearer inferential logic
  • A mixed-methods paper that runs strands in parallel and never integrates them
  • An RCT presented with no discussion of who is left out or whether it travels
  • Significance asterisks instead of standard errors / confidence intervals

Output format

text
【Journal】World Development (WD)
【Skill】worlddev-identification
【Branch】quant-causal / qualitative / mixed
【Evidence→claim route】one sentence
【Warrant evidence】design diagnostics / inferential logic + rival tests / integration design
【External relevance】why it travels beyond the site/case
【What it does NOT warrant】the claim it cannot support
【Source status】verified URL / 待核实 / not asserted
【Next skill】worlddev-theory-model

© 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 World-Development-Skills/skills/worlddev-identification of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Worlddev Identification 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.

Worlddev Identification compared with similar skills
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Data Finderbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.7kAutomated safety check: PassCustom licence
Weakness Scannerflonat/flonat-research145—~1.5kAutomated safety check: PassMIT
Ecta Identificationfranklee16/academic-research-skills2231 repos~1.9kAutomated safety check: PassNone

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Categories

Questions about Worlddev Identification

What does Worlddev Identification do?

A skill your agent uses when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for…. Worlddev Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for qualitative and mixed-methods work.

When should I use Worlddev Identification?

Worlddev Identification fits situations like: the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work; A transparent inferential logic for qualitative and mixed-methods work.

How do I install Worlddev Identification in Claude Code?

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

How do I install Worlddev Identification in Codex?

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

Can I use Worlddev Identification 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 worlddev-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/worlddev-identification, .gemini/skills/worlddev-identification, .github/skills/worlddev-identification and .opencode/skills/worlddev-identification in your project.

What does Worlddev Identification need to run?

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

Does Worlddev Identification 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 Worlddev Identification 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 Worlddev Identification use?

Worlddev Identification 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 Worlddev Identification use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Worlddev Identification?

Skills that share tags, products or a category with Worlddev Identification: What If Oracle (K-Dense-AI/scientific-agent-skills, 48k stars), Paper Review (EvoScientist/EvoSkills, 475 stars), Data Finder (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Weakness Scanner (flonat/flonat-research, 145 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Worlddev Identification?

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.