Convert completed task artifacts into an operator-facing teaching packet with verification evidence.
npx skills add https://github.com/mifunedev/openharness --skill teach-mifunedev
Please help me install this Agent Skill. Skill: teach Source: https://github.com/mifunedev/openharness/tree/main/.claude/skills/teach Command: npx skills add https://github.com/mifunedev/openharness --skill teach-mifunedev
Transforms completed task artifacts into a clear, operator-facing mental model that aligns documented knowledge with what shipped.
Invoke /teach <task-slug> to convert completed task artifacts into an operator-facing teaching packet, optionally specifying --wiki <slug> to target a specific knowledge entry.
High-intent search queries and answers about installing and using this skill.
To update wiki entries after implementation, you can review completed task artifacts like prd.md, progress.txt, and audit notes to propose targeted wiki edits. This aligns your documented knowledge model with the actual shipped behavior using cited verification evidence.
Knowledge transfer for operators in a post-implementation scenario is the process of converting completed task artifacts into a clear, operator-facing mental model. It generates a teaching packet with verification evidence and comprehension checks to confirm operator understanding.
Generating an operator teaching packet requires access to task artifacts such as prd.md, prd.json, progress.txt, critique.md, evals, and audit notes. An existing wiki entry is also required to produce a structured teaching output with a final model and checks.
Yes, you can specify a specific wiki entry when creating post-implementation documentation updates by using the --wiki <slug> parameter. This targets a particular knowledge entry for revision when implementation changes require updating the provisional model.
To verify operator comprehension after updating project documentation, a teaching packet is generated that includes verification evidence and understanding checks. This ensures the operator grasps the revised mental model aligned with the shipped behavior.
The best way to align documented knowledge with shipped behavior is to transform completed task artifacts into an operator-facing mental model. This process reviews implementation evidence to propose targeted wiki edits, ensuring documentation accurately reflects the final product.
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