Capture conversations or sources as structured wiki notes with frontmatter.
npx skills add https://github.com/kelp/kelp-claude-plugins --skill kb-capture
Please help me install this Agent Skill. Skill: kb-capture Source: https://github.com/kelp/kelp-claude-plugins/tree/main/plugins/knowledge-forge/skills/kb-capture Command: npx skills add https://github.com/kelp/kelp-claude-plugins --skill kb-capture
Users often lose valuable insights from conversations, web sources, or synthesized ideas because they lack a consistent way to capture them into a structured knowledge base with proper metadata.
CLAUDE.md or defaults to a standard directory.just lint and just refresh to ensure the note passes linting and is indexed correctly.Typical scenario: A researcher finishes a meeting and runs /kb-capture to instantly turn the discussion into a structured report note that is searchable across their personal wiki.
Run /kb-capture to save the current conversation as a draft report in your personal knowledge base.
High-intent search queries and answers about installing and using this skill.
You can capture conversations as structured wiki notes by invoking a command that generates YAML frontmatter, creates unique slugs, and files the note into the correct folder within your personal knowledge base.
Organizing research sources into a knowledge base is best handled by automated capture tools that classify content as a source or concept, then generate matching markdown templates with proper metadata and unique slugs.
Slug generation for wiki notes creates unique, readable filenames based on title heuristics, and collision handling ensures each note maintains a distinct file path within the knowledge base directory structure.
You do not need a complex setup to capture notes; the system automatically resolves the knowledge base path from a configuration file or defaults to a standard directory if no specific path is configured.
You can validate captured notes by running a lint and refresh workflow that ensures the newly created wiki note passes validation checks and is correctly indexed across the knowledge base.
When capturing knowledge, you can create reports, source, concept, or question notes, each using a predefined markdown template to populate the body structure appropriately for its specific category.
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