litreview

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: litreview
description: "Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed/OpenAlex (or Consensus) query."
license: MIT
metadata:
  source_spec: "megaprompts/09-litreview-megaprompt.md"
  build_pattern: "Path B (direct conversion)"
  research_pack_convention: "Agent Integrity Rules verbatim per PR #657 audit; sibling of pulse"
  version: 1.1.0
---

# Litreview — Academic Literature Orientation

> **Portability:** Works anywhere with outbound HTTPS — the default search lane is **free keyless APIs** (PubMed E-utilities + OpenAlex, no account, no key, no MCP). The **Consensus MCP is an optional enhancement lane** used only when connected in this session. Node.js with `docx` package is required for document generation, and (in CLI) `bash_tool`. Works in Claude Code CLI natively and in Claude.ai with Code Execution.

Produce a **launching pad** — not a finished literature review, but an orientation document that gives a researcher entering an unfamiliar field everything they need to start reading and searching with confidence. Think: what a generous colleague who knows the field would tell you over coffee.

## Search Lanes

| Lane | When | How |
|---|---|---|
| **Free lane (default)** | Always available; no key, no plan, no MCP | PubMed E-utilities + OpenAlex via `scripts/free_search.py` or direct HTTPS (URL templates below) |
| **Consensus lane (optional enhancement)** | Only when Consensus MCP tools are available in this session | Run Consensus queries *in addition to* the free lane for its synthesized answer cards |

**Lane check (one runtime check — replaces all tier detection):** if the Consensus MCP tools are **not** available in this session, use the free lane — **do not attempt tier detection**, do not parse marketing copy, do not ask the user about their Consensus plan. If Consensus IS available, additionally run its searches and merge results (dedupe by DOI/title).

### Free-lane URL templates (exact)

**PubMed E-utilities** (keyless; etiquette: ≤3 requests/second):

1. Search → PMIDs: `https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=<urlencoded-query>&retmode=json&retmax=20&sort=relevance`
   — read `esearchresult.idlist` (PMIDs) and `esearchresult.count`.
2. PMIDs → metadata: `https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&id=<pmid1,pmid2,...>&retmode=json`
   — per `result[<pmid>]` read `title`, `authors[].name`, `pubdate`, `fulljournalname`, `articleids[]` (the `idtype: "doi"` entry).
3. Era-gating: append `&datetype=pdat&mindate=2021&maxdate=3000` (recent) or `&maxdate=2015` (historical).
4. Paper URL: `https://pubmed.ncbi.nlm.nih.gov/<PMID>/`.

**OpenAlex** (keyless; add `&mailto=<email>` for the polite pool — faster + more reliable):

1. Search: `https://api.openalex.org/works?search=<urlencoded-query>&per-page=20&mailto=<email>`
   — per `results[]` read `display_name` (title), `publication_year`,