Name: Skill: full-text literature synthesis
Author: Dingxingdi

Skill: full-text literature synthesis

Use this skill when the user wants questions that feel like paper-reading, literature review, recent findings, or 'you have to open the paper, not just the abstract'. Trigger it for requests like 'make it retrieve scientific papers', 'ask about a new result from the literature', 'force source-backed answering', or 'reward saying unsure when the paper isn't enough'. This skill is for bounded scientific corpora and full-text evidence use.

Dingxingdi0 starsApr 8, 2026

Occupation
Categories: Academic

1. Capability Definition & Real Case

Professional Definition: The ability to answer scientific questions by retrieving full-text papers, extracting evidence from relevant sections beyond superficial summaries, and synthesizing a cited answer with calibrated uncertainty when the evidence remains insufficient. The capability combines literature retrieval, section-level evidence gathering, and answer calibration.
Dimension Hierarchy: Specialized Knowledge Navigation->Corpus-Specific Retrieval & Reasoning->full-text literature synthesis

Real Case

[Case 1]

Initial Environment: A bounded corpus of recent biomedical full-text papers published after common model cutoff dates. The decisive evidence is inside a paper’s body rather than safely recoverable from an abstract-only summary.
Real Question: Has anyone performed a base editing screen against splice sites in CD33 before?
Real Answer: Yes
Why this demonstrates the capability: The question targets a recent scientific finding and is intentionally difficult to answer from latent memory alone. The agent must retrieve the right paper, inspect relevant full-text sections, and synthesize a bounded answer. This is the core retrieval-and-synthesis pattern for literature RAG.

Skill: full-text literature synthesis

Dingxingdi0 starsApr 8, 2026

Occupation
Categories: Academic

1. Capability Definition & Real Case

Professional Definition: The ability to answer scientific questions by retrieving full-text papers, extracting evidence from relevant sections beyond superficial summaries, and synthesizing a cited answer with calibrated uncertainty when the evidence remains insufficient. The capability combines literature retrieval, section-level evidence gathering, and answer calibration.

Dimension Hierarchy: Specialized Knowledge Navigation->Corpus-Specific Retrieval & Reasoning->full-text literature synthesis

Real Case

[Case 1]

Initial Environment: A bounded corpus of recent biomedical full-text papers published after common model cutoff dates. The decisive evidence is inside a paper’s body rather than safely recoverable from an abstract-only summary.

Real Question: Has anyone performed a base editing screen against splice sites in CD33 before?

Real Answer: Yes

Why this demonstrates the capability: The question targets a recent scientific finding and is intentionally difficult to answer from latent memory alone. The agent must retrieve the right paper, inspect relevant full-text sections, and synthesize a bounded answer. This is the core retrieval-and-synthesis pattern for literature RAG.

Skill: full-text literature synthesis

1. Capability Definition & Real Case

Real Case

Skill: full-text literature synthesis

1. Capability Definition & Real Case

Real Case

Pipeline Execution Instructions

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Academic Researcher