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The literature review workflow produces a structured survey of the academic landscape on a given topic. It focuses on mapping the state of the field — what researchers agree on, where they disagree, and what remains unexplored — and delivers a cited, verified output to outputs/.

Invocation

Examples

Workflow stages

1

Plan

The lead agent outlines the review scope: key questions, source types to search (papers, web, repositories), time period, expected sections, and a small task ledger with a verification log.The plan is written to outputs/.plans/<slug>.md. The lead agent presents the plan and waits for your confirmation before proceeding.
2

Gather

For wide sweeps, the researcher subagent is used for delegated paper triage before synthesis. For narrow topics, the lead agent searches directly.Researcher outputs are saved to <slug>-research-*.md files. Assigned tasks are never silently skipped — each is marked done, blocked, or superseded.
3

Synthesize

Findings are organized into three categories: consensus, disagreements, and open questions. Where useful, concrete next experiments or follow-up reading suggestions are proposed.Quantitative comparisons across papers are rendered as charts using pi-charts; taxonomies and method pipelines use Mermaid diagrams. Before finishing the draft, every strong claim is swept against the verification log and downgraded if it is inferred or single-source on a critical point.
4

Cite

The verifier subagent adds inline citations to the draft and verifies every source URL.
5

Verify

The reviewer subagent checks the cited draft for unsupported claims, logical gaps, zombie sections (text that references material no longer in scope), and single-source critical findings.
  • FATAL issues are fixed before delivery. If FATAL issues are found, one additional verification pass is run after fixes.
  • MAJOR issues are noted in Open Questions.
  • MINOR issues are accepted.
6

Deliver

The final literature review is saved to outputs/<slug>.md. A provenance record is written alongside it at outputs/<slug>.provenance.md.

Outputs

Provenance record

The <slug>.provenance.md sidecar records:
  • Date of the run
  • Sources consulted vs. accepted vs. rejected
  • Verification status
  • Intermediate research files used
Every /lit output requires a .provenance.md sidecar. This is enforced by the workspace contract in AGENTS.md.

Subagents used

When to use /lit

Use /lit when you need a map of the research landscape rather than a deep dive into one specific question. It is particularly useful when:
  • Starting a new research project and needing to understand what has already been done
  • Preparing a related work section for a paper
  • Evaluating whether a research direction is sufficiently novel
  • Identifying open problems in a field
For a deeper investigation of a single focused question, use Deep Research instead.
  • Deep Research — thorough multi-agent investigation on a specific question
  • Source Comparison — structured agreement/disagreement matrix across sources
  • Paper Draft — turn review findings into a paper-style draft