What problem does it solve?
Agents and users face a fragmented landscape of tools for research, writing, and publishing, with no clear way to know which provider is installed, credentialed, or best suited for each capability. This Skill provides a capability-based provider matrix that maps tasks like web search, citation management, PDF manipulation, and blog publishing to concrete CLI harnesses, Python libraries, native binaries, and cloud APIs.
Core Features & Use Cases
- Capability-to-provider matrix: Twelve capabilities (research.search, research.retrieve, research.reference, knowledge.note, knowledge.synthesize, document.author, document.format, document.pdf, diagram.create, publish.web, publish.latex, and more) each list ranked providers with cost, quality, and offline metadata.
- Preflight availability checks: A single command reports which harnesses, Python packages, binaries, and API keys are present so agents choose providers based on real environment state.
- Ready-made recipes: Multi-step workflows such as literature-review, meeting-to-doc, blog-post, paper-draft, competitive-brief, and pdf-book-digest chain capabilities end to end.
- Use Case: To write a literature review, run preflight, search via Exa or DuckDuckGo, manage citations through Zotero or BibTeX, synthesize findings, and export a formatted DOCX or LaTeX PDF.
Quick Start
Ask the agent to run the knowledge-research matrix preflight and then draft a cited research summary on your chosen topic using the best available providers.