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Knowledge graduation pipeline: learnings mature into practices through evidence.

Learnings
{{ summary.total }}
→
Ready
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→
Practices
{{ summary.practices }}
→
Directives
4
{{ summary.total }} Learnings
{{ summary.ready }} Ready
{{ summary.almost }} Almost
{{ summary.building }} Building
{{ summary.promoted }} Promoted
{{ summary.practices }} Practices
All Ready ({{ summary.ready }}) Almost ({{ summary.almost }}) Building ({{ summary.building }}) Promoted ({{ summary.promoted }})
{% for l in pipeline %} {% endfor %}
ID Learning Apps Status Task
{{ l.id }} {{ l.learning }} {% if l.context %}
{{ l.context }} {% endif %}
{% for i in range(3) %} {% endfor %} {% if l._apps > 3 %} +{{ l._apps - 3 }} {% endif %}
{{ l._status }} {% if l.task %}{{ l.task }}{% endif %}
{% if not pipeline %}

No learnings match the current filter.

{% endif %}
How to promote a learning

Graduation criteria from 015-Practices.md:

From To Evidence Needed
Task Update Learning Same pattern in 2+ tasks
Learning Practice 3+ successful applications, traces to directive
Practice Directive Universal, stable 6+ months, human decision

CLI commands:

fw promote suggest                    # Show promotion candidates
fw promote L-008 --name "..." --directive D1  # Execute promotion

Application counts are based on explicit L-XXX references in task updates and episodic memories. Reference learnings when you apply them to build evidence.