grounded-composition

Synthesize evidence-backed outputs from the DocMason knowledge base with provenance tracking.

135|36|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/JetXu-LLM/DocMason --skill grounded-composition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grounded-composition
Source: https://github.com/JetXu-LLM/DocMason/tree/main/skills/canonical/grounded-composition
Command: npx skills add https://github.com/JetXu-LLM/DocMason --skill grounded-composition

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produce evidence-backed research, planning, drafting, or composition output from the published DocMason knowledge base while preserving provenance and answer-file discipline.

Core Features & Use Cases

  • Evidence-backed drafting for decks, executive summaries, outlines, and proposals.
  • Provenance-aware output with explicit source citations and answer-file discipline.
  • Discovery-guided drafting workflow that starts from canonical ask turns and performs retrieval and trace.

Quick Start

Draft an evidence-backed executive summary from the knowledge base with provenance tracking.

Frequently Asked Questions about grounded-composition

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

FAQPage Schema
How do I generate an executive summary with traceable evidence from a knowledge base?

To generate an executive summary with traceable evidence, use the grounded-composition workflow to synthesize knowledge base content while preserving provenance and strict source citations. It retrieves documents, performs discovery, and drafts outputs with explicit source tracking.

What is provenance-aware drafting and when do I need it for research tasks?

Provenance-aware drafting produces research outputs with explicit source citations and answer-file discipline. You need it when generating executive summaries, outlines, or proposals that require traceable sources to verify the accuracy and origin of the synthesized information.

How do I create evidence-backed outlines from structured JSON knowledge base files?

Evidence-backed outlines are created by inspecting structured JSON outputs from the knowledge base, performing retrieval and trace operations, and drafting the outline while preserving provenance to ensure every point links back to its source artifact.

Does evidence-backed composition require local file access and shell execution?

Yes, evidence-backed composition requires local file access and shell or command execution. These capabilities allow the workflow to inspect structured JSON outputs and rendered artifacts, ensuring reliable, artifact-grounded results for your drafts and summaries.

What are the limitations of provenance-aware drafting workflows?

Limitations of provenance-aware drafting workflows include strict dependency on local file access and shell execution to inspect JSON outputs. Without the ability to execute commands or access the DocMason knowledge base directly, the workflow cannot guarantee artifact-grounded results.