lit-pm

Orchestrate a 9-stage literature review pipeline among specialized AI agents.

6|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/dangeles/claude --skill lit-pm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-pm
Source: https://github.com/dangeles/claude/tree/main/claude-config/skills/lit-pm
Command: npx skills add https://github.com/dangeles/claude --skill lit-pm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

lit-pm addresses the challenge of coordinating complex, multi-stage literature reviews by acting as an orchestration layer that synchronizes specialized skills, tracks progress, and enforces quality gates across stages.

Core Features & Use Cases

  • 9-stage pipeline orchestration: Automates planning, discovery, outline synthesis, writing, validation, and editorial polish.
  • Adaptive checkpoints: Dynamically adjusts oversight based on scope and stakes to balance speed and rigor.
  • Cross-skill handoffs: Seamless coordination between literature-researcher, lit-synthesizer, fact-checker, and editor skills.
  • Use Case: A grant proposal requires a comprehensive review with risk assessment; lit-pm manages parallel discovery, cross-section validation, and synthesis.

Quick Start

Example: Run lit-pm with a topic prompt to trigger the 9-stage pipeline and generate a complete literature-review draft, including a structured outline, intro, and polished conclusion.

Frequently Asked Questions about lit-pm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate a multi-stage literature review pipeline?

To orchestrate a literature review pipeline, you can run a topic prompt through the 9-stage process to automate planning, discovery, synthesis, writing, validation, and editorial polish for a complete draft.

What is adaptive checkpoint planning in a literature review?

Adaptive checkpoint planning dynamically adjusts oversight during a literature review based on scope and stakes, balancing speed and rigor by enforcing quality gates and coordinating handoffs between specialized AI agents.

Can I coordinate multiple AI agents for a cross-domain literature survey?

Yes, cross-domain literature surveys are supported by coordinating seamless handoffs between specialized literature-researcher, lit-synthesizer, fact-checker, and editor AI agents throughout the review pipeline.

Does this literature review orchestration work for grant proposal preparation?

Grant proposal preparation is supported by orchestrating parallel discovery, cross-section validation, and risk assessment synthesis, generating comprehensive literature reviews required for robust proposal outputs.

What is the best way to manage parallel discovery and validation in research synthesis?

The best way to manage parallel discovery and validation in research synthesis is using an orchestration layer that synchronizes specialized skills, tracks progress, and enforces quality gates across the pipeline stages.

Do I need specialized agent skills to run a 9-stage literature review?

Yes, the 9-stage literature review pipeline requires specialized agent skills such as literature-researcher, lit-synthesizer, fact-checker, and editor to execute seamless cross-skill handoffs and produce polished outputs.