skillstash-research
Gather sources and summarize research for skillstash skills
When & Why to Use This Skill
The skillstash-research skill is an automated research assistant designed to streamline the information-gathering phase of project development. It leverages Model Context Protocol (MCP) integrations to systematically collect external sources, validate technical requirements, and synthesize findings into structured, actionable notes. By automating the creation of annotated bibliographies and research summaries, it ensures that developers and creators have a solid, evidence-based foundation before authoring new skills or documentation.
Use Cases
- Pre-development Research: Automatically gather and document background information, API references, and technical requirements when starting a new AI skill or software project.
- Source Documentation & Validation: Use configured MCPs to find authoritative external links and create an organized SOURCES.md file with short annotations for better project transparency.
- Knowledge Synthesis: Generate structured research notes (notes.md) from multiple data points to provide a concise overview of findings, helping to avoid information overload during the creative process.
| name | skillstash-research |
|---|---|
| description | Gather sources and summarize research for skillstash skills |
Skillstash Research
Use this skill to collect sources and synthesize notes before authoring a skill.
When this skill activates
- An issue requests research for a new skill
- A skill needs external references or validation
What this skill does
- Use configured MCPs to collect sources (respect allowlists).
- Write
skills/<name>/.research/SOURCES.mdwith links and short annotations. - Write
skills/<name>/.research/notes.mdwith structured findings.
Output requirements
- Only write inside
.research/. - Keep notes concise and actionable.