Ingest URLs, repositories, papers, and images into a contextualized knowledge base.
npx skills add https://github.com/broomva/skills --skill checkit
Please help me install this Agent Skill. Skill: checkit Source: https://github.com/broomva/skills/tree/main/skills/research/checkit Command: npx skills add https://github.com/broomva/skills --skill checkit
This Skill eliminates the friction of delegating research tasks by automatically inferring intent from shared artifacts, preventing the need for clarifying questions and ensuring research is integrated into durable knowledge.
Use the checkit skill to research the provided URL and integrate the findings into our active project notes.
High-intent search queries and answers about installing and using this skill.
Automate research ingestion by sharing URLs, repositories, papers, or images directly into your workflow. The system infers your intent from the artifact type and active work, traversing primary sources verbatim to build a contextualized knowledge base without requiring clarifying input.
Deep research analysis does not require manual goal clarification. The system automatically determines your objective based on your active project, persona, and the specific artifact type provided, executing deep-dive analysis and verbatim source verification immediately.
You can integrate external repository documentation directly into active project notes. The system ingests repository sources, links the extracted findings to your existing knowledge base automatically, and suggests ranked next steps to turn research into actionable outcomes.
The best way to synthesize knowledge without shallow summaries is to use a deep research pipeline that traverses primary sources verbatim. This ensures high-confidence findings by proactively linking verbatim extractions to existing knowledge rather than generating surface-level overviews.
Generate ranked next steps automatically after artifact ingestion by relying on proactive integration. Once external sources are processed and contextualized, the system outputs ranked actionable next steps linked to your durable knowledge base without requiring additional user input.
Limitations of automated research ingestion relate to its strict reliance on verbatim source traversal. It is designed for research-heavy workflows requiring high-confidence findings rather than quick, shallow summaries, meaning it may not suit rapid, low-fidelity information gathering.
LuminaVaultClassify and store URLs, PDFs, images, and text notes into a knowledge base.
co-cddoGenerate creative ideas and research outputs using structured brainstorming techniques.
cclankIngest articles into a structured, cross-referenced Markdown knowledge base.
tonombQuery primary sources and official documentation to produce cited Markdown research reports.
