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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 三段式文獻掃描, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘, revisión de literatura, metaanálisis

Use this Skill: https://skilld.dev/gh/imbad0202/academic-research-skills/deep-research

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templatespreregistration_template.md

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Preregistration Template — OSF Standard 21-Item Preregistration Template

Purpose

A fill-in template based on the OSF Standard Pre-Data Collection Registration format. Researchers complete this template before data collection and upload it to a preregistration platform (e.g., OSF Registries).


Instructions

  1. Complete this template before data collection
  2. Items marked [Required] are mandatory; [Optional] are recommended but not required
  3. If an item is not applicable, write "Not applicable" and briefly explain why
  4. After completion, go to OSF Registries to create a preregistration
  5. Once submitted, preregistrations cannot be modified (an embargo period can be set)

A. Study Information

1. Title [Required]

Study Title

[Enter descriptive study title]

2. Authors [Required]

Research Team

Name Institution Role ORCID
[Name] [Institution] [PI / Co-PI / RA] [ORCID]
[Name] [Institution] [Role] [ORCID]

3. Research Questions [Required]

Main Research Questions

RQ1: [Enter main research question]
RQ2: [Enter secondary research question, if any]

4. Hypotheses [Required]

Pre-specified Hypotheses Please state directional predictions clearly

H1: [Enter hypothesis 1, including expected direction]
    Example: Students receiving treatment X will score significantly higher
    on test Y than the control group

H2: [Enter hypothesis 2, if any]

H3: [Enter hypothesis 3, if any]

B. Design Plan

5. Study Type [Required]

Study Design

  • Experiment
    • Between-subjects
    • Within-subjects
    • Mixed design
    • Factorial design: ___ x ___
  • Observational study
    • Cross-sectional
    • Longitudinal / Cohort
    • Case-control
  • Survey
  • Other: [Describe]
[Describe study design in detail]

6. Randomization [Optional]

Randomization Procedure

Randomization method: [Simple random / Stratified random / Cluster random / Block random / Not applicable]
Randomization unit: [Individual / Class / School / Not applicable]
Randomization tool: [Random number table / Computer program / Lottery / Not applicable]
Allocation ratio: [1:1 / 2:1 / Other]

7. Blinding [Optional]

Blinding / Masking

Blinding level: [No blinding / Single-blind / Double-blind / Triple-blind]
Blinded parties: [Participants / Researchers / Assessors / Not applicable]
Blinding maintenance: [Describe how blinding is maintained]
Unblinding timing: [Describe when unblinding occurs]

8. Study Design / Conditions [Required]

Specific description of each group/condition

Experimental group/Condition 1: [Describe intervention content, duration, frequency in detail]
Experimental group/Condition 2: [If any]
Control group: [Describe control condition in detail]

C. Sampling Plan

9. Existing Data [Required]

Existing Data Declaration

  • No data have been collected yet (Registration prior to creation of data)
  • Data exist but have not been examined (Registration prior to any human observation of the data)
  • Some data have been examined (Registration prior to accessing the data)
  • Data have been used for preliminary analysis (Registration following analysis of the data)
[Describe data status and your level of familiarity with the data]

10. Data Collection Procedures [Required]

Data Collection Procedures

Collection method: [Online survey / Paper survey / Interview / Experiment / Archival data / Other]
Collection instruments: [Questionnaire name / Scale name / Experimental software]
Collection location: [Online / Classroom / Laboratory / Other]
Collection timeline: [Start and end dates]
Data collectors: [Who is responsible for collection]

11. Sample Size [Required]

Planned sample size

Target sample size: [N = ]
Sample size per group: [Experimental group n = , Control group n = ]

12. Sample Size Rationale [Required]

Basis for sample size determination

Method: [Power analysis / Prior research conventions / Feasibility constraints / Other]

Power analysis parameters (if applicable):
- Effect size: [d = / f = / r = ]
- Effect size source: [Prior study / Meta-analysis / Pilot study]
- Significance level (alpha): [.05 / .01]
- Statistical power: [.80 / .90]
- Test type: [t-test / ANOVA / Regression / Other]
- Calculation tool: [G*Power / R / Other]
- Calculation result: Minimum required N = [  ]

Oversampling rate: [Accounting for ___% attrition, actual target N = ]

13. Stopping Rule [Required]

When to stop data collection

Stopping rule:
- [ ] Stop when target sample size is reached
- [ ] Stop at specified date (Deadline: [Date])
- [ ] Stop when target power is reached (sequential analysis)
- [ ] Other: [Describe]

D. Variables

14. Manipulated Variables [Required for experiments]

Independent Variables

Independent variable 1: [Name]
Operational definition: [How it is manipulated]
Levels: [Level 1 / Level 2 / ...]

Independent variable 2: [If any]

15. Measured Variables [Required]

Dependent Variables

Primary dependent variable: [Name]
Operational definition: [How it is measured]
Measurement instrument: [Scale name / Test name]
Reliability and validity: [Cite reliability/validity literature]

Secondary dependent variable: [If any]

Covariates/Control variables: [If any]

16. Indices [Required]

Specific scoring method for each variable

Variable 1 scoring:
- Items: [Which items]
- Scoring method: [Sum / Mean / Factor score / Other]
- Reverse-scored items: [Which items need reverse scoring]
- Missing data handling: [How to handle missing values]

Variable 2 scoring: [Same format as above]

E. Analysis Plan

17. Statistical Models [Required]

Primary statistical analysis methods

Analysis for Hypothesis 1:
- Statistical method: [Independent t-test / ANOVA / Regression / HLM / SEM / Other]
- Detailed description: [Model specification, e.g., DV ~ IV + covariate + (1|cluster)]

Analysis for Hypothesis 2: [Same format as above]

18. Transformations [Optional]

Data transformation plan

Planned transformations:
- [ ] No transformations
- [ ] Log transformation: Applied to [which variables], trigger condition [skewness > ]
- [ ] Standardization (Z-score)
- [ ] Other: [Describe]

19. Inference Criteria [Required]

Statistical inference criteria

Significance level: alpha = [.05 / .01 / .005]
Multiple comparison correction: [Bonferroni / Holm / FDR / Not applicable]
Effect size reporting: [Cohen's d / eta-squared / R² / Other]
Confidence interval: [95% CI / 99% CI]
One-tailed/Two-tailed test: [Two-tailed / One-tailed, with justification]

20. Data Exclusion [Required]

Data exclusion criteria

Exclusion criteria:
- [ ] Failed attention check (Specific criteria: [                ])
- [ ] Response time too short/long (Criteria: < [  ] minutes or > [  ] minutes)
- [ ] Outliers (Definition: [> 3 SD / IQR method / Other])
- [ ] Incomplete rate > [  ]%
- [ ] Other: [Describe]

Post-exclusion procedures:
- Report pre- and post-exclusion sample sizes
- Compare characteristics of excluded vs. retained samples

21. Exploratory Analyses [Optional]

Planned exploratory analyses

Exploratory analyses (not primary hypotheses, but planned):
1. [Analysis description]
2. [Analysis description]

These analyses will be explicitly labeled as "exploratory" in the paper.

F. Other

Ethics Review [Optional]

IRB review status: [Approved / Under review / Exempt / Not applicable]
IRB number: [                ]
Reviewing institution: [                ]

Data Availability [Optional]

Will data be made public: [Yes / No / Partially]
Data repository: [OSF / Dataverse / Other]
Timing: [After publication / After study completion / Other]

Supplementary Materials [Optional]

- [ ] Full questionnaire/scale
- [ ] Stimulus materials
- [ ] Analysis code
- [ ] Power analysis report
- [ ] Pilot study results

Pre-Submission Checklist

  • All [Required] items have been completed
  • Hypotheses are clearly stated and testable
  • Analysis methods correspond to hypotheses
  • Exclusion criteria were established before data collection
  • Confirmatory and exploratory analyses have been distinguished
  • IRB review status has been confirmed
  • Preregistration platform has been selected (OSF Registries recommended)

After completion, go to OSF Registries to submit the preregistration.

Source: SKILL.md on GitHub

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Signed by skilld at 0d17790. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

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Other metadata
metadata
{
  "version": "2.12.1",
  "last_updated": "2026-08-15",
  "status": "active",
  "data_access_level": "raw",
  "task_type": "open-ended",
  "related_skills": [
    "academic-paper",
    "academic-pipeline"
  ]
}

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