Agent Skill
2/7/2026

course-report-analyzer

Use this skill when the user wants to analyze a student report against course lecture materials. Triggers when user asks to: "analyze my report against the course", "check course coverage", "compare report to lectures", "suggest report improvements based on course material", or "create lecture summaries and analyze report".

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tobiasbak
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SKILL.md

Namecourse-report-analyzer
DescriptionUse this skill when the user wants to analyze a student report against course lecture materials. Triggers when user asks to: "analyze my report against the course", "check course coverage", "compare report to lectures", "suggest report improvements based on course material", or "create lecture summaries and analyze report".

name: course-report-analyzer description: | Use this skill when the user wants to analyze a student report against course lecture materials. Triggers when user asks to: "analyze my report against the course", "check course coverage", "compare report to lectures", "suggest report improvements based on course material", or "create lecture summaries and analyze report". version: 1.0.0

Course Report Analyzer

Analyzes student project reports against course lecture materials to identify coverage gaps and suggest improvements.

Workflow Overview

1. Discover Files → 2. Create Summary Dir → 3. Parallel Agents → 4. Read All → 5. Generate Suggestions

Step 1: Discover and Validate Files

Find all required files using Glob:

Lectures:    **/*lecture*.pdf OR **/*lesson*.pdf OR **/lectures/**/*.pdf
Report:      **/*report*.pdf
Requirements: **/*requirement*.txt OR **/*requirement*.md

Step 2: Create Summary Directory

mkdir summary

Step 3: Launch Parallel Background Agents

CRITICAL: Launch ALL agents in a SINGLE message for true parallelism.

For each lecture, use the Task tool with these parameters:

ParameterValue
subagent_typegeneral-purpose
run_in_backgroundtrue
descriptionWrite lesson_XX summary

Agent Prompt Template:

Read the lecture file(s) at [LECTURE_PATH] and write a concise summary to [SUMMARY_DIR]/lesson_XX_[topic].md

The summary MUST include these sections:
## Key Concepts
## Main Topics and Techniques
## Practical Applications
## Important [Engine/Framework] Features

If the lecture is split into multiple parts (part1.pdf, part2.pdf), read ALL parts before writing.
Keep it focused and practical for a [COURSE_TYPE] course.

Example - launching 10 agents in parallel:

<function_calls>
<invoke name="Task">
  <parameter name="description">Write lesson_02 summary</parameter>
  <parameter name="prompt">Read lectures/Lesson_02*.pdf, write to summary/lesson_02_blueprints.md...</parameter>
  <parameter name="subagent_type">general-purpose</parameter>
  <parameter name="run_in_background">true</parameter>
</invoke>
<invoke name="Task">
  <parameter name="description">Write lesson_03 summary</parameter>
  <parameter name="prompt">Read lectures/Lesson_03*.pdf, write to summary/lesson_03_cpp.md...</parameter>
  <parameter name="subagent_type">general-purpose</parameter>
  <parameter name="run_in_background">true</parameter>
</invoke>
<!-- ... repeat for all lectures ... -->
</function_calls>

Step 4: Wait and Collect Results

While agents run, you can work on other tasks. Check progress with:

<invoke name="TaskOutput">
  <parameter name="task_id">[AGENT_ID]</parameter>
  <parameter name="block">false</parameter>
</invoke>

When ready to wait for completion:

<invoke name="TaskOutput">
  <parameter name="task_id">[AGENT_ID]</parameter>
  <parameter name="block">true</parameter>
  <parameter name="timeout">120000</parameter>
</invoke>

Step 5: Read All Content

After all agents complete, read in parallel:

  1. All lecture summaries - Use Read tool for each summary/*.md
  2. The report PDF - Read tool handles PDFs directly
  3. Requirements files - Both project and report requirements

Step 6: Generate report_suggestions.md

Create a comprehensive suggestions file with this structure:

# Report Improvement Suggestions

## Executive Summary
[3-4 bullet points on main improvement areas]

## Course Coverage Analysis

### Strong Coverage (Keep/Minor Enhancements)
| Lesson | Topic | Report Section | Notes |

### Partial Coverage (Should Expand)
| Lesson | Topic | What's Missing |

### Not Covered (Should Add)
| Lesson | Topic | Relevance to Project |

## Section-by-Section Suggestions

### [Section Name] (Page X)
**Current State**: [Assessment]
**Suggestions**:
- [Specific suggestion with example text]

### NEW SECTION: [Suggested Addition]
[Proposed content]

## Quick Wins - Easy Additions
| Location | Addition |

## Missing Topics to Address
### [Topic from course]
[Why relevant, suggested text]

## Terminology Reference
| Generic Term | Course-Specific Term |

## Summary
[Priority improvements list]

File Naming Conventions

TypePatternExample
Lecture Summarylesson_XX_[topic].mdlesson_02_blueprints.md
Suggestionsreport_suggestions.md-
Summary Dirsummary/-

Tips for Quality Results

  1. Agents should read ALL parts of split lectures before summarizing
  2. Summaries should be practical - focus on what's applicable to projects
  3. Cross-reference carefully - map report sections to specific lessons
  4. Include example text - don't just say "add X", show what to add
  5. Use course terminology - identify generic vs course-specific terms
  6. Be specific about pages/sections - reference exact locations in report
Skills Info
Original Name:course-report-analyzerAuthor:tobiasbak