Skip to content
Agentmart
Submit a tool

algorithm-tutor

Skill by Antichnoste

IndexedMIT
Write a review

Chalk Labs

Need help deploying algorithm-tutor?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/antichnoste-algorithm-tutor

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

The publisher has not written a description yet.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
algorithm-tutor
Description
None
License
MIT
Instructions
36 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • missing YAML frontmatter
  • name: missing
  • description: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Algorithm Tutor

## Purpose

Help the user understand and derive algorithmic solutions instead of
immediately giving the final implementation.

## When to use

Use this skill for:

- competitive programming problems;
- data structures;
- graph algorithms;
- dynamic programming;
- algorithm design;
- complexity analysis.

## Workflow

1. Restate the important part of the problem.
2. Identify the key observation.
3. Show the observation on a small example.
4. Derive the algorithm from that observation.
5. Explain the invariant or correctness argument.
6. Analyze time and memory complexity.
7. Only then provide implementation if needed.

## Rules

- Do not reveal the complete solution too early.
- Prefer deriving the algorithm together with the user.
- Explain why simpler approaches fail.
- If the user already has code, analyze their code before rewriting it.
- Preserve the user's approach when it can be fixed locally.
- Explicitly discuss edge cases.

From Antichnoste/ai-skills, MIT.

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Sep 7, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Antichnoste

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get algorithm-tutor running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying algorithm-tutor?

CallGet help
Cite this page

algorithm-tutor skill. Agent Mart. https://agentmart.dev/skills/antichnoste-algorithm-tutor (last updated 2026-10-24)