celishq

Trails — AI skill for Claude Code

AI community

Teach your AI once, not every day.

How to install Trails

This entry records only its repository, not the path inside it, so there is no exact command to give. Open celishq/trails and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Trails does

Teach your AI once, not every day. Your corrections become patterns that Claude Code, Codex and Cursor keep: a CLAUDE.md and skills that write themselves.

Alternatives in AI

  • Gsap Skills — Official AI skills for GSAP 1.7k ★
  • Wiki Trail — Create, follow, or list associative trails in the LLM Wiki (Memex trail-blazing) 79 ★
  • Suomi Finnish Skill — Finnish language skill for AI — teach Claude, Codex etc. to write correct Finnish 60 ★

README

Celis

Stop babysitting your coding agent

Celis keeps your rules and gives your agent the discipline to follow them, in every project and every agent.

Release CI License: MIT

https://github.com/user-attachments/assets/8cb59450-fb36-4fa6-82ae-5bcd59b1384b

Why

  • Your agent follows through. It gets the rule that matters right before it acts, not buried in a manual it read an hour ago. You stop catching the same mistake twice.
  • Correct it once. A correction in chat or a code review becomes a rule that Celis keeps, in every project. On a new job, your agent also starts from similar work that went well.
  • Every agent keeps the same rules. What you tell Claude Code, Codex and Cursor follow too.
  • You can check its work. Every step comes with proof, like a passing test or a command's output, on a trail you can watch.

How it works

A CLAUDE.md is a manual. Your agent reads it once at the start, and by the time it edits a file, the one rule that matters is lost among hundreds of others. Celis is a checklist. It hands your agent the few rules that apply right now: when a job starts, before it changes a file, and before it says it's done.

Those rules come from your corrections and code reviews. Your agent works one step at a time, tries the part it's least sure of first, proves each step works, and keeps what it learned as a rule. Each step lands on a trail you can watch, so you see what your agent did and why.

Job: seniors pay 20% less
├─ ✓ F