pour

Synthesize Distillery knowledge entries into a cited narrative with multi-pass retrieval.

24|9|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/norrietaylor/distillery --skill pour
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pour
Source: https://github.com/norrietaylor/distillery/tree/main/skills/pour
Command: npx skills add https://github.com/norrietaylor/distillery --skill pour

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates insights from multiple knowledge entries into a single, coherent narrative with inline citations.

Core Features & Use Cases

  • Multi-entry synthesis: fuse findings from sessions, bookmarks, minutes, references, ideas, and digests into a structured narrative.
  • Inline citations and provenance: attach sources to each claim to preserve traceability.
  • Gap analysis and ambiguity flags: surface knowledge gaps and flag conflicting views for review.

Quick Start

Provide a topic or question to synthesize across the knowledge base and generate a cited narrative.

Frequently Asked Questions about pour

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

FAQPage Schema
How do I synthesize knowledge from multiple entries into a single cited narrative?

To synthesize knowledge with citations, provide a topic or question to fuse findings from sessions, bookmarks, minutes, references, ideas, and digests into a structured narrative. The process applies a multi-pass retrieval workflow to generate cohesive text with inline citations.

What is the best way to attach provenance and inline citations to consolidated research notes?

Attaching provenance and inline citations involves tracking sources across a knowledge base during multi-entry synthesis. This preserves traceability by attaching the original knowledge entry source directly to each consolidated claim within the generated narrative.

Can I scope knowledge base synthesis to a specific project?

Yes, you can scope knowledge base synthesis to a specific project. The multi-pass retrieval workflow can optionally narrow the search across sessions, bookmarks, minutes, references, ideas, and digests to match your designated project boundaries.

How does multi-pass retrieval work when consolidating insights from a knowledge base?

Multi-pass retrieval works by executing curated content search, broad search, follow-up tag expansion, and gap-filling sequentially. This workflow deduplicates entries and tracks provenance to ensure comprehensive coverage before synthesizing the final narrative.

Are there tools that flag knowledge gaps and conflicting views during knowledge synthesis?

Yes, this synthesis workflow includes built-in gap analysis and ambiguity flags. It actively surfaces knowledge gaps and flags conflicting views for review during the consolidation of multiple knowledge entries into a cohesive narrative.

What are the limitations of synthesizing knowledge across sessions and bookmarks?

The main limitation is dependency on the existing Distillery knowledge base content; synthesis quality relies entirely on available entries. If the knowledge base lacks sufficient data on a topic, gap-filling cannot fabricate missing information and will only flag the gap.