lit-review-orchestratorlisted
Install: claude install-skill kennethkhoocy/applied-micro-skills
# Lit-Review Orchestrator
Run the literature-review pipeline from a single command, starting from a
document that describes your article.
**Input**: a `.tex` or `.docx` document — a full manuscript, an abstract, or any
text describing the article's content.
**Output**: a deduplicated, relevance-screened master list (JSON + RIS), plus the
extracted search plan and all intermediate stage files.
## Quick Start
The `orchestrator.py` commands below are the **autonomous fallback** (reasoning on
the Sonnet/DeepSeek API). When an agent runs this skill interactively, use the
**agent-driven flow** instead; see *How it runs* below. That flow performs
non-browser reasoning at the agent layer with no Anthropic API key, using the
platform routing in `docs/claude-code.md` or `docs/codex.md`.
```bash
pip install -r requirements.txt # one-time
cp lit-review-pipeline.env.example ~/.lit-review-pipeline.env # then fill in keys
# From a full manuscript
python scripts/orchestrator.py paper.docx --output-dir ~/lit-reviews/mypaper
# From just an abstract (any .tex/.docx describing the article works)
python scripts/orchestrator.py abstract.tex --output-dir ~/lit-reviews/mypaper
# Add opt-in sources; DOI-only dedup
python scripts/orchestrator.py paper.tex --ssrn --nber --no-llm --output-dir out
# Escape hatch: run from a raw query string (skips Stage 0 extraction)
python scripts/orchestrator.py --query "dual-class shares cost of equity" --output-dir out
```