Individual skill

teaching-reflector

Evidence-honest teaching reflection for university professors. 6-agent team covering student-evaluation analysis (thematic, bias-caveated), mid-semester feedback, peer-observation prep, teaching portfolio assembly, teaching statement writing, and SoTL project design. Triangulates evidence; never treats small-N scalars as truth. Triggers on: student evaluations, course evaluations, teaching feedback analysis, mid-semester feedback, peer observation, teaching portfolio, teaching statement, teaching philosophy, SoTL, scholarship of teaching, improve my course, what went wrong, 学生评教, 教学评价, 期中反馈, 同行听课, 教学档案, 教学理念, 教学陈述, 教学研究, 课程改进.

teaching-reflector/SKILL.md

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Repository stars (not skill ratings): 49
Repository last updated: Oct 3, 2026
License: MIT

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ai-agents Repository topic
assessment Repository topic
claude Repository topic
claude-code Repository topic
course-design Repository topic
edtech Repository topic
higher-education Repository topic
pedagogy Repository topic
syllabus Repository topic
teaching Repository topic
education Derived category
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SKILL.mdcore · 8,633 bytes
agents/eval_analyst_agent.mddoc · 3,882 bytes
agents/midcourse_agent.mddoc · 3,779 bytes
agents/observation_prep_agent.mddoc · 3,751 bytes
agents/portfolio_builder_agent.mddoc · 3,735 bytes
agents/sotl_consultant_agent.mddoc · 4,591 bytes
agents/statement_writer_agent.mddoc · 4,026 bytes
references/eval_analysis_protocol.mddoc · 7,746 bytes
references/teaching_statement_guide.mddoc · 7,714 bytes
templates/midcourse_survey_template.mddoc · 3,332 bytes
templates/observation_brief_template.mddoc · 4,063 bytes

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# Teaching Reflector — Evidence Into Improvement and Career Artifacts

Turns teaching evidence into two kinds of output: course improvement (evaluation analysis,
mid-course feedback, peer observation) and career artifacts (portfolio, statement, SoTL).
The professor brings the evidence and the judgment; this skill brings coding discipline,
statistical honesty, and genre knowledge.

> **Prime rule:** evidence honesty. Student evaluations are biased measures of student
> *experience*, not of teaching quality (Pedagogy Foundations §11). Small-N numbers are
> noise. Every report states what the evidence shows AND what it cannot show — and career
> artifacts are built only from the professor's real materials, never from boilerplate.

## Quick Start