Capture and manage project decisions in a schema-validated structured format.
npx skills add https://github.com/argen/hornero --skill chronicle-record
Please help me install this Agent Skill. Skill: chronicle-record Source: https://github.com/argen/hornero/tree/main/skills/chronicle-record Command: npx skills add https://github.com/argen/hornero --skill chronicle-record
This Skill ensures that critical decisions made during project sessions are captured, validated, and easily accessible for future sessions and roles.
To record a decision, use the command 'chronicle-record propose --title "New Pricing Strategy" --status validated --confidence 0.85 --source-role product-manager --sourcing documented --scope strategy --decision "Implement new pricing strategy X for Q3."'
High-intent search queries and answers about installing and using this skill.
Project decisions are captured in a structured, schema-validated format to ensure they are easily accessible for future reference and situational awareness. This approach manages the decision lifecycle from proposal to commitment.
Recording decision rationale during strategy planning involves capturing confidence levels, sourcing, and alternatives considered. This creates machine-readable artifacts for future analysis and ensures transparency in project environments.
Yes, previous entries can be superseded when project decisions change. This decision lifecycle management allows you to propose, review, and commit updates while maintaining a clear history of stakeholders and hypotheses.
You document a project decision by defining the title, status, confidence level, source role, and scope. This structured format requires validation against a strict schema and human review for accuracy.
Yes, decision tracking supports different types of entries including decisions, hypotheses, stakeholders, and customers. This ensures comprehensive knowledge management across project environments.
A limitation of schema-validated decision recording is that it requires strict validation and human review for accuracy. This ensures data integrity but means entries cannot bypass the defined structural format.
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