LLMs & AI agents

effector-refetch ships machine-readable docs and an installable agent skill, so AI coding agents write idiomatic, fork-correct code with the library.

Agent skill

A Claude Code skill teaching the effect-first API, the bindings, and the fork-correct idioms (plus a "common mistakes" checklist). It works with Claude Code and 70+ other agents (Cursor, Codex, OpenCode, …).

Install with the skills CLI (recommended)

Using vercel-labs/skills:

# add the effector-refetch skill to the agents in your project
npx skills add Olovyannikov/effector-refetch

# preview what's in the repo first
npx skills add Olovyannikov/effector-refetch --list

# target a specific agent, or install globally for all your projects
npx skills add Olovyannikov/effector-refetch -a claude-code
npx skills add Olovyannikov/effector-refetch -g

Install manually

# from a project that already has the package installed
cp -R node_modules/effector-refetch/skills/effector-refetch .claude/skills/

Or copy skills/effector-refetch/SKILL.md into your project's .claude/skills/ (or ~/.claude/skills/ for all projects). It's plain Markdown with YAML frontmatter — any agent/system-prompt loader can read it.

llms.txt

Following the llms.txt convention, the docs site exposes two plain-text files for LLM context:

• /llms.txt — an index: title, summary, and links to every documentation page.
• /llms-full.txt — the full text of the documentation in one file, ready to paste into a model's context.

Point your tool at the URL, or download it:

curl -fsSL https://olovyannikov.github.io/effector-refetch/llms-full.txt -o effector-refetch-docs.txt

Both files are regenerated on every docs build from the English docs.