skills/16-hsantanna88-clo-author/dot-claude/skills/submit/SKILL.md
Submission pipeline — journal targeting, replication package, audit, and final gate. Replaces /submit, /target-journal, /audit-replication, /data-deposit.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research submitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Submission pipeline with four modes covering journal selection through final verification.
Input: $ARGUMENTS — mode keyword, optionally followed by journal name.
/submit target — Journal TargetingGet ranked journal recommendations.
Agent: Orchestrator (journal selection function)
Considers: contribution fit, methodology fit, audience fit, recent publications, desk rejection risk. Consults .claude/references/domain-profile.md for journal tiers.
Output: Ranked list of 3 target journals with rationale.
Save to quality_reports/journal_recommendations_[date].md
/submit package — Build Replication PackageAssemble AEA-compliant replication package.
Agents: Coder + Verifier
Produces:
paper/replication//submit audit — Audit Replication PackageVerify replication package completeness.
Agent: Verifier (submission mode — 10 checks)
Checks:
/submit final [journal] — Final Submission GateFull verification + score enforcement + submission checklist.
Workflow:
development
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development
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
testing
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data-ai
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.