Agent skill

Ramda

by valkey-io in valkey-io/valkey-admin

Guidance for using Ramda in transformation-heavy TypeScript or JavaScript.

Apache-2.0Auto-check passedData & Analytics

Install Ramda

skills CLI
$ npx skills add valkey-io/valkey-admin --skill ramda -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install valkey-io/valkey-admin ramda --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/valkey-io/valkey-admin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ramda .claude/skills/ramda && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ramda
GitHub stars
148
Token cost
~535 tokens
SKILL.md length
225 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guidance for using Ramda in transformation-heavy TypeScript or JavaScript.

  • Editing data pipelines
  • SKILL.md covers Principles, Preferred Operators, Type Discipline and Review Checklist
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Collection/object transformations

What it does

Ramda is an agent skill from valkey-io/valkey-admin. Guidance for using Ramda in transformation-heavy TypeScript or JavaScript. Use when editing data pipelines, collection/object transformations, reducers, selectors, or parser code that can benefit from Ramda operators.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering State management and Data pipelines and ETL. It works with TypeScript and JavaScript. The repository describes itself as: Valkey Admin is a web-based administration tool for Valkey clusters and standalone instances. It provides an intuitive interface to monitor, manage, and interact with your Valkey… The licence is Apache-2.0.

When your agent uses it

  • Editing data pipelines
  • Collection/object transformations
  • Parser code that can benefit from Ramda operators

Example prompts

  • “/ramda”

What it can do on your machine

Read from SKILL.md and the folder at commit 64f5fb4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ramda loads about 535 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~535

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from valkey-io/valkey-admin at commit 64f5fb4, republished under its Apache-2.0 licence (© valkey-io). 225 words, ~535 tokens.

Download SKILL.mdSave it as .claude/skills/ramda/SKILL.md (or your agent's skills folder).
name
ramda
description
Guidance for using Ramda in transformation-heavy TypeScript or JavaScript. Use when editing data pipelines, collection/object transformations, reducers, selectors, or parser code that can benefit from Ramda operators.

Ramda Skill

Use this skill when editing transformation-heavy TypeScript or JavaScript in this repo.

Principles

  • Prefer Ramda when it makes data transformations more declarative and easier to scan.
  • Avoid point-free code that hides types, branching, errors, or important domain names.
  • Prefer R.pipe for readable left-to-right transformations when it avoids noisy intermediate variables.
  • Plain loops are acceptable for complex branching, early exits, async control flow, or hot paths where Ramda obscures intent.
  • Prefer a single reduce over filter plus map when one pass remains clear.

Preferred Operators

  • Selection and shape: pick, pickBy, omit, props, path, pathOr, assoc, assocPath, evolve.
  • Combining and merging: mergeLeft, mergeRight, mergeDeepRight, union, intersection, difference, symmetricDifference.
  • Collections: groupBy, countBy, uniq, range, indexBy, partition, sortBy, ascend, descend.
  • Predicates: any, all, anyPass, allPass, propEq, pathEq, includes.
  • String/list transforms: split, splitAt, splitEvery, join.
  • Fan-out and composition: juxt, applySpec, converge, pipe.
  • Object utilities: invert, invertObj, toPairs, fromPairs, mapObjIndexed.

Type Discipline

  • Keep undefined and null separate. Do not use R.isNil when absent and explicitly-null states need different behavior.
  • Prefer typed helper functions at transformation boundaries so component and reducer code does not need casts.
  • Reuse domain/API types when the transformation preserves the same shape.

Review Checklist

  • Is the transformation clearer than the equivalent plain TypeScript?
  • Are all intermediate domain concepts still named when naming helps understanding?
  • Does the code preserve undefined versus null semantics when that distinction matters?

© valkey-io, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/ramda of valkey-io/valkey-admin.

Open the folder on GitHubat commit 64f5fb4

Compare with similar skills

Ramda next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ramda compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ramda this skillvalkey-io/valkey-admin148—~535Automated safety check: PassApache-2.0
Build with TinyBasetinyplex/tinybase5.2k—~1.6kAutomated safety check: PassMIT
JavaScript IO Effects With Sagasparalleldrive/aidd384—~587Automated safety check: PassMIT
Azure Messagingmicrosoft/GitHub-Copilot-for-Azure2551 repos~821Automated safety check: PassMIT
CrawleeLeoYeAI/openclaw-master-skills2.2k—~4.7kAutomated safety check: PassMIT
Fathom SDK Patternsjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT

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Questions about Ramda

What does Ramda do?

Guidance for using Ramda in transformation-heavy TypeScript or JavaScript. Ramda is an agent skill from valkey-io/valkey-admin. Guidance for using Ramda in transformation-heavy TypeScript or JavaScript.

When should I use Ramda?

Ramda fits situations like: editing data pipelines; collection/object transformations; parser code that can benefit from Ramda operators.

How do I install Ramda in Claude Code?

Run `npx skills add valkey-io/valkey-admin --skill ramda -a claude-code`. Or copy the skill folder (.agents/skills/ramda in valkey-io/valkey-admin) into .claude/skills/ramda in your project. Claude Code loads it when a task matches its description.

How do I install Ramda in Codex?

Run `npx skills add valkey-io/valkey-admin --skill ramda -a codex`. Or copy the skill folder (.agents/skills/ramda in valkey-io/valkey-admin) into .agents/skills/ramda in your project. Codex loads it when a task matches its description.

Can I use Ramda in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add valkey-io/valkey-admin --skill ramda -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ramda, .gemini/skills/ramda, .github/skills/ramda and .opencode/skills/ramda in your project.

What does Ramda need to run?

SKILL.md names no scripts, command-line tools or credentials: Ramda is instructions for the agent only.

Does Ramda access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ramda safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ramda use?

Ramda is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ramda use?

About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ramda?

Skills that share tags, products or a category with Ramda: Build with TinyBase (tinyplex/tinybase, 5.2k stars), JavaScript IO Effects With Sagas (paralleldrive/aidd, 384 stars), Azure Messaging (microsoft/GitHub-Copilot-for-Azure, 255 stars) and Crawlee (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ramda?

valkey-io (a GitHub organization) maintains it in valkey-io/valkey-admin, which has 148 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 7, 2026.

Source: valkey-io/valkey-admin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.