Org learning: correction mining → proposed skill, directive and routine diffs

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
typescript

Research direction

The issue describes weekly correction mining from the Ledger and approval-gated Inbox proposals, but names no implementation files or tests. Start by reading the related roadmap items and issues #117, #132, #133 and #138, then locate the Ledger, Inbox and agent-instruction versioning entry points. Done means three similar rejections produce a proposal with linked evidence, and approval versions the agent instructions.

Written by the indexing model from the issue text.

Description

area:agents area:memory needs-triage p2 type:feature

Part of #117 · beat-Paperclip spec id E14

  • Priority: p2
  • Labels: type:feature, area:memory, area:agents
  • Relates to: #117 (#132, #133), #138
  • Scope: Paperclip's roadmap ⚪ items "Automatic Organizational Learning" and "Self-Organization" are unstarted. Weekly, Muster clusters human corrections, rejected diffs and repeated review notes from the Ledger. It proposes instruction, skill, routine or reporting-line diffs as Inbox items with evidence links. Nothing applies without approval.
  • Acceptance: Given 3 similar review rejections, a proposal appears with the 3 receipts linked. Approving it versions the agent instructions.

Source: Paperclip issue/discussion research (docs, GitHub issues, live instance).

Dominant language
TypeScript
Stars
3
Forks
0
Avg merge
17h 33m
Merged PRs (30d)
163

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