Name: Systematic Review
Author: ettrickshepherd

Systematic Review Skill

Use this skill when the user wants to set up, refine, or run a literature review workflow in this repo.

What To Do

Start with the review question, scope, audience, inclusion/exclusion criteria, and the minimum acceptable audit trail.
Work from review.example.toml and fill in source, stage, model, QA, and parser settings instead of inventing ad hoc commands.
Require a pilot run before any large review stage. The pilot must have explicit manual QA size and pass threshold.
Keep prompts/rules versioned in SQLite via init-db or register-rules; config should select rule sets and versions, not serve as the long-term prompt ledger.
Prefer conservative screening. If the record is ambiguous or abstract-free, bias to maybe.
Never write model-generated summaries into the canonical abstract field.
Use PRISMA 2020 and PRISMA-S as the reporting baseline. For study-selection/data-collection expectations, use the Cochrane references below.

Use this skill when the user wants to set up, refine, or run a literature review workflow in this repo.

Start with the review question, scope, audience, inclusion/exclusion criteria, and the minimum acceptable audit trail.
Work from review.example.toml and fill in source, stage, model, QA, and parser settings instead of inventing ad hoc commands.
Require a pilot run before any large review stage. The pilot must have explicit manual QA size and pass threshold.
Keep prompts/rules versioned in SQLite via init-db or register-rules; config should select rule sets and versions, not serve as the long-term prompt ledger.
Prefer conservative screening. If the record is ambiguous or abstract-free, bias to maybe.
Never write model-generated summaries into the canonical abstract field.
Use PRISMA 2020 and PRISMA-S as the reporting baseline. For study-selection/data-collection expectations, use the Cochrane references below.