learnings-researcher

Name: learnings-researcher
Availability: InStock
Author: sommio

Extract and rank bilingual solution learnings with YAML frontmatter citations.

1|Updated Apr 3, 2026

Search Tags:#retrieval #learnings #frontmatter #solutions #ranking #bilingual #knowledge-base

Ready to run

npx skills add https://github.com/sommio/RSSift --skill learnings-researcher-sommio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learnings-researcher
Source: https://github.com/sommio/RSSift/tree/main/.agents/skills/learnings-researcher
Command: npx skills add https://github.com/sommio/RSSift --skill learnings-researcher-sommio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Biliterate teams need to surface prior documented learnings from bilingual sources to avoid repeating mistakes and rework when planning features.

Core Features & Use Cases

Bilingual learnings fusion: Treat English and Chinese counterparts as a single learning when ranking results.
Frontmatter-driven ranking: Use module, problem_type, component, symptoms, and tags to prioritize results relevant to the current task.
Actionable summaries: Produce concise, practical learnings with citations ready for inclusion in planning.

Quick Start

Search bilingual solution docs in docs/en/solutions and docs/zh-Hans/solutions for relevant learnings and present a concise distilled summary.

Frequently Asked Questions about learnings-researcher

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

FAQPage Schema

How do I search bilingual solution articles to prevent repeating past development mistakes?▼

To search bilingual solution articles, this Skill extracts relevant documented learnings from English and Chinese docs, treating counterparts as a single learning. It ranks results by relevance using frontmatter fields like module, problem_type, and symptoms to prevent rework.

How do I use YAML frontmatter to rank documented learnings for my current development task?▼

YAML frontmatter drives ranking by parsing module, problem_type, component, symptoms, root_cause, tags, and severity fields. These metadata fields prioritize solution articles relevant to your current development work, returning concise, actionable summaries with citations.

What is the best way to retrieve prior learnings from a bilingual knowledge base for feature planning?▼

Retrieving prior learnings from a bilingual knowledge base involves searching docs/en/solutions and docs/zh-Hans/solutions directories. The Skill fuses English and Chinese counterparts into a single learning, ranking them by frontmatter relevance to inform feature planning.

Can I extract actionable summaries from bilingual solution docs without duplicating English and Chinese results?▼

Yes, extracting actionable summaries treats bilingual counterparts as a single learning. The Skill searches both English and Chinese solution docs, fuses duplicate counterparts, and ranks results by YAML frontmatter fields to produce concise, cited summaries.

Does ranking bilingual learnings by frontmatter require any specific directory structure?▼

Ranking bilingual learnings requires solution articles within docs/en/solutions and docs/zh-Hans/solutions directories. The Skill parses YAML frontmatter fields including module, problem_type, component, symptoms, root_cause, tags, and severity from these specific paths to rank results.

When should I not rely on bilingual learnings retrieval for development planning?▼

Bilingual learnings retrieval is limited to documented solutions within the specified docs/en/solutions and docs/zh-Hans/solutions paths. If prior learnings are undocumented or lack structured YAML frontmatter, ranking and extraction cannot return actionable summaries.