cses-tracker

Track progress through CSES Problem Set with structured learning

509 stars

Best use case

cses-tracker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Track progress through CSES Problem Set with structured learning

Teams using cses-tracker should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cses-tracker/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/algorithms-optimization/skills/cses-tracker/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cses-tracker/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cses-tracker Compares

Feature / Agentcses-trackerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Track progress through CSES Problem Set with structured learning

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# CSES Tracker Skill

## Purpose

Track progress through the CSES Problem Set with structured learning paths mapped to the Competitive Programmer's Handbook.

## Capabilities

- Track solved problems by category
- Suggest next problems based on difficulty progression
- Generate progress reports
- Map problems to CP Handbook chapters
- Identify knowledge gaps based on unsolved problems
- Create personalized learning paths

## Target Processes

- cses-learning-path
- skill-gap-analysis
- topic-mastery-certification
- progress-tracking

## Integration

Interfaces with CSES platform (https://cses.fi) and maps problems to the Competitive Programmer's Handbook by Antti Laaksonen.

## Input Schema

```json
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": ["getProgress", "suggestNext", "getByCategory", "mapToHandbook", "generateReport"]
    },
    "category": { "type": "string" },
    "solvedProblems": { "type": "array", "items": { "type": "string" } },
    "targetCategory": { "type": "string" }
  },
  "required": ["action"]
}
```

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "progress": { "type": "object" },
    "suggestions": { "type": "array" },
    "report": { "type": "string" }
  },
  "required": ["success"]
}
```

## CSES Categories

- Introductory Problems
- Sorting and Searching
- Dynamic Programming
- Graph Algorithms
- Range Queries
- Tree Algorithms
- Mathematics
- String Algorithms
- Geometry
- Advanced Techniques