Crim Research Design
franklee16/academic-research-skills
A skill your agent uses when defending the research design of a Criminology (ASC / Wiley) manuscript — causal identification for quantitative work, longitudinal and life-course designs…
A skill your agent uses when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in…
Install Jedpsych Study Design
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-design --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .claude/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.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/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .claude/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-designType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .agents/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .agents/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .cursor/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .cursor/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .gemini/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .gemini/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-designInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .github/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .github/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-study-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design .opencode/skills/jedpsych-study-design && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jedpsych-study-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design into .opencode/skills/jedpsych-study-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-study-design", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jedpsych-study-design- GitHub stars
- 1.2k
- Token cost
- ~2k tokens
- SKILL.md length
- 737 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in…
- Works in 6 steps: Match the level: randomization, power,… → Cluster-level sample-size justification.… → Measure learning constructs well. Use… → …
- Cluster-level power
- SKILL.md covers When to trigger, Design standards, Quasi-experimental and… and Cluster-level sample-size…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jedpsych Study Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in classes/schools), cluster-level power, measurement of learning constructs, ecological validity, and preregistration where appropriate. Strengthens the design and pre-analysis plan; it does not write code.
Its SKILL.md is about 2k 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 Experimental design. 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
- Cluster-level power
- Measurement of learning constructs
- Ecological validity
- Preregistration where appropriate
Example prompts
- “/jedpsych-study-design”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Match the level: randomization, power, analysis. If you randomize classrooms or schools, the
- Cluster-level sample-size justification. Provide an explicit basis for the number of clusters and
- Measure learning constructs well. Use validated outcome measures of the learning/motivation
- Baseline equivalence and confounds. With cluster randomization (or quasi-experiments), report
- Ecological validity. Argue that the setting, task, and delivery (teacher- vs researcher-delivered)
- Control researcher degrees of freedom. Decide in advance: conditions, the full measure set,
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
Jedpsych Study Design loads about 2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 737 words of instructions outside code blocks.
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). 737 words, ~1,981 tokens.
Download SKILL.mdSave it as
.claude/skills/jedpsych-study-design/SKILL.md (or your agent's skills folder).- name
- jedpsych-study-design
- description
- Use when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in classes/schools), cluster-level power, measurement of learning constructs, ecological validity, and preregistration where appropriate. Strengthens the design and pre-analysis plan; it does not write code.
Study Design (jedpsych-study-design)
The Journal of Educational Psychology expects designs that are adequately powered for their nesting structure, measure learning constructs well, and have ecological validity for real educational settings. Because JEP studies are usually students nested in classes nested in schools, the single most consequential design decision is matching the unit of randomization, power, and analysis to the level at which the treatment and mechanism operate. This skill hardens the design before data collection.
When to trigger
- Planning a classroom/school study, field trial, or longitudinal study
- Writing a preregistration / pre-analysis plan for a prospective trial
- A reviewer questioned nesting, clustering, power, measurement, or ecological validity
- Justifying sample size at the right level
Design standards
- Match the level: randomization, power, analysis. If you randomize classrooms or schools, the
experiment's effective N is the number of clusters, not students. Power at the cluster level using
the intraclass correlation (ICC) and number/size of clusters; plan the matching multilevel analysis up
front (see
jedpsych-data-analysis). - Cluster-level sample-size justification. Provide an explicit basis for the number of clusters and their size — a power analysis for the smallest educationally meaningful effect, given the ICC and a pretest covariate that absorbs cluster variance. State the assumed effect size and its source.
- Measure learning constructs well. Use validated outcome measures of the learning/motivation construct; justify their reliability and that they capture transfer/learning, not just teaching to the test. Pre/post designs should plan for measurement at the right grain.
- Baseline equivalence and confounds. With cluster randomization (or quasi-experiments), report baseline equivalence on covariates; address selection, attrition, contamination across conditions, and teacher/implementation fidelity.
- Ecological validity. Argue that the setting, task, and delivery (teacher- vs researcher-delivered) support the educational claim; a stripped lab analog weakens fit at JEP.
- Control researcher degrees of freedom. Decide in advance: conditions, the full measure set, exclusion/attrition rules, covariates, and the model. Preregistration is encouraged here.
Quasi-experimental and longitudinal designs
- For quasi-experiments, plan a credible counterfactual (matching, regression adjustment, difference-in- differences, or RD where assignment is on a cutoff) and state the identifying assumption. For longitudinal/growth designs, plan the timing, attrition handling, and the growth model in advance.
Cluster-level sample-size justification — worked example (illustrative)
For a teacher-delivered reading-comprehension trial, justify the number of classrooms before recruiting, tied to the smallest educationally meaningful effect — not a round student count.
Smallest meaningful effect: d = 0.20 (a defensible learning gain for a
classroom literacy intervention).
Nesting: students nested in classrooms; assumed ICC = 0.15; ~23 students
per classroom; pretest covariate (r ≈ .6) absorbs cluster variance.
Power: target 80% power, two-sided alpha .05 → ~48 classrooms
(24 per arm), ~1,100 students; design effect handled via the ICC,
not by counting students as independent.
Stopping: fixed number of clusters; no optional addition of schools.
Covariate: baseline comprehension at student and classroom level.State the assumed effect size and its source (prior trial, meta-analytic estimate, or a smallest- meaningful-effect argument). Powering on an inflated lab effect, or on student N alone, is the classic JEP design failure.
Show full SKILL.md (315 more words)Show less
Pre-data lockdown checklist
| Degree of freedom | Lock before data? | Where it lives |
|---|---|---|
| Hypotheses + direction (at the right level) | yes | preregistration / analysis plan |
| Unit of randomization + number of clusters | yes | preregistration |
| Full measure list (all outcomes) | yes | preregistration (prevents cherry-picking) |
| Exclusion / attrition rules | yes | preregistration, with expected attrition |
| Covariates + multilevel model form | yes | analysis plan |
| Fidelity / implementation measures | yes | protocol |
| Exploratory analyses | allowed, but labeled | reported separately, post hoc |
Design-stage reviewer pushback and the venue fix
- "Powered at the student level" → re-power at the cluster level using the ICC; report the number of clusters as the effective N.
- "No baseline equivalence" → report covariate balance across arms; adjust for pretest in the model.
- "Outcome measures teaching-to-the-test" → use a transfer/learning measure and justify its validity.
- "Researcher-delivered, so no classroom claim" → move to teacher delivery or scope the claim; argue ecological validity.
- "Flexible exclusions / attrition" → preregister rules; report results with and without
(handoff to
jedpsych-data-analysis).
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the design, don't only describe it. Full map:
execution-with-mcp. JEdPsych mixes field/lab experiments and observational school data; multilevel (student-in-class-in-school) inference and many-outcome corrections matter most.
detect_design→recommend→ fit withas_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_wolffor many-outcome family-wise control, andmediatefor mediation (not naive controlling-away). - Sensitivity:
oster_delta/sensemakrfor observational claims.
Report the effect size in interpretable units; route the full battery to the appendix/supplement. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Anti-patterns
- Powering and analyzing as if nested students were independent
- A round student-N target with no cluster-level justification
- Outcome measures that capture test coaching rather than learning
- Ignoring implementation fidelity and contamination across conditions
- A lab-only analog presented as evidence about classrooms
Output format
【Unit】randomization / power / analysis level (matched?) [Y/N]
【Sample size】# clusters + size + ICC + smallest meaningful effect
【Measures】validated learning outcome + reliability + transfer? [Y/N]
【Baseline + confounds】equivalence, attrition, fidelity addressed?
【Ecological validity】setting / delivery supports the educational claim?
【Preregistration】confirmatory core locked? where?
【Next】jedpsych-data-analysisSupplementary resources
../../resources/external_tools.md—PowerUpR,simr, Optimal Design, multilevel/SEM software, preregistration templates../../resources/official-source-map.md— JARS reporting standards and preregistration policy
© 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 Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jedpsych Study Design 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jedpsych Study Design this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Crim Research Designfranklee16/academic-research-skills | 223 | 1 repos | ~1.2k | Automated safety check: Pass | None | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 22 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 6 repos | ~2.3k | Automated safety check: Notes | None | |
| Research Refine PipelinezjYao36/Auto-Research-Refine | 128 | 5 repos | ~1.4k | Automated safety check: Notes | None |
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Questions about Jedpsych Study Design
What does Jedpsych Study Design do?
A skill your agent uses when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in…. Jedpsych Study Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing studies for a Journal of Educational Psychology manuscript so they meet the journal's standards for educational settings — nesting (students in classes/schools), cluster-level power, measurement of learning constructs, ecological validity, and preregistration where appropriate.
When should I use Jedpsych Study Design?
Jedpsych Study Design fits situations like: cluster-level power; measurement of learning constructs; ecological validity; preregistration where appropriate.
How do I install Jedpsych Study Design in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a claude-code`. Or copy the skill folder (Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jedpsych-study-design in your project. Claude Code loads it when a task matches its description.
How do I install Jedpsych Study Design in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-study-design -a codex`. Or copy the skill folder (Journal-of-Educational-Psychology-Skills/skills/jedpsych-study-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jedpsych-study-design in your project. Codex loads it when a task matches its description.
Can I use Jedpsych Study Design 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 jedpsych-study-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jedpsych-study-design, .gemini/skills/jedpsych-study-design, .github/skills/jedpsych-study-design and .opencode/skills/jedpsych-study-design in your project.
What does Jedpsych Study Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Jedpsych Study Design is instructions for the agent only.
Does Jedpsych Study Design 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 Jedpsych Study Design 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 Jedpsych Study Design use?
Jedpsych Study Design 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 Jedpsych Study Design use?
About 2k tokens (SKILL.md is roughly 7.9k 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 Jedpsych Study Design?
Skills that share tags, products or a category with Jedpsych Study Design: Crim Research Design (franklee16/academic-research-skills, 223 stars), Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars) and Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jedpsych Study Design?
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.