Ingest Document

Process a document and extract beliefs from it into the knowledge substrate.

Instructions

1. •Read the document at the given path using the Read tool
2. •Analyze the content to identify:
   • •Factual claims and assertions
   • •Decisions that were made
   • •Preferences expressed
   • •Technical specifications
   • •Key entities (people, tools, projects)
3. •For each extracted belief:
   • •Assess confidence based on how clearly stated it is
   • •Determine appropriate domain path
   • •Identify related entities
   • •Create the belief using mcp__valence_substrate__belief_create
4. •Link the document as a source
5. •Report a summary of what was extracted

Document Path

{{ path }}

{% if domain %}

Base Domain

{{ domain }} {% endif %}

Execution Steps

1. •

   Read the document

   • •Use the Read tool to get the content
   • •Note the document type (markdown, code, config, etc.)
2. •

   Extract beliefs For each significant piece of information:

   • •Formulate it as a clear belief statement
   • •Assign confidence:
     • •0.9+ for explicit, unambiguous statements
     • •0.7-0.9 for clear implications
     • •0.5-0.7 for inferences or uncertain claims
   • •Classify into domain
3. •

   Extract entities

   • •People mentioned
   • •Tools, libraries, frameworks
   • •Projects or codebases
   • •Concepts and patterns
4. •

   Create beliefs Use belief_create for each, linking:

   • •The document as source
   • •Relevant entities
   • •Appropriate domain path
5. •

   Report results

   • •Number of beliefs extracted
   • •Key entities found
   • •Any uncertainties or items needing review

Quality Guidelines

• •Don't over-extract: focus on significant, reusable knowledge
• •Preserve context: beliefs should be understandable standalone
• •Link entities: this enables cross-referencing later
• •Note uncertainty: lower confidence for inferred information
• •Avoid duplicates: check if similar beliefs already exist