Automates source gathering and note synthesis for the development and validation of Claude Code skills.
Skillstash Research is a specialized utility designed to streamline the preliminary phase of skill development by automatically collecting external references and synthesizing research findings. It leverages configured Model Context Protocols (MCPs) to identify relevant data, documenting sources with short annotations and generating actionable notes within a dedicated research directory. This ensures developers have a validated, structured foundation of knowledge before authoring core skill logic, maintaining a clean workspace by isolating all research artifacts.
Key Features
01Synthesis of structured, concise, and actionable research notes
02Automated source collection via configured MCP integrations
03Generation of annotated bibliographies in SOURCES.md
04Support for external reference validation and initial skill discovery
05Strict output isolation within dedicated .research/ directories
062 GitHub stars
Use Cases
01Validating external references for existing skill maintenance and updates
02Gathering technical documentation and best practices before building a new skill
03Synthesizing findings from multiple web sources into a single actionable research file
