effect-patterns-platform

A set of six Effect-TS examples for using platform features, including interactive terminal input and output. A terminal is the text-based interface where command-line programs read and display text.

In plain words
What is it for?
Use it when building Effect-TS command-line applications that prompt users, read answers, write output, or handle platform-level tasks.
Why use it?
It provides patterns for connecting Effect-TS programs to the operating environment instead of handling terminal interaction inconsistently.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/pauljphilp/effectpatterns/effect-patterns-platform
Any agent
npx skills add PaulJPhilp/EffectPatterns --skill effect-patterns-platform
Clone the repo
git clone --depth 1 https://github.com/PaulJPhilp/EffectPatterns

Made for: Claude Code, Codex.

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.07713
Opus 5 $0.00012 $0.03857
Sonnet 5 $0.00005 $0.01543
Haiku 4.5 $0.00002 $0.00771

Measured 2d ago against content hash 466aed28cd5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

effect-patterns-platform scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

config/.claude-plugin/plugins/effect-patterns/skills/effect-patterns-platform/SKILL.md · 1,196 lines

How it starts

The opening of the file, as written. The whole thing — 1,196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Effect-TS Patterns: Platform

This skill provides 6 curated Effect-TS patterns for platform. Use this skill when working on tasks related to:

  • platform
  • Best practices in Effect-TS applications
  • Real-world patterns and solutions

🟢 Beginner Patterns

Platform Pattern 4: Interactive Terminal I/O

Rule: Use Terminal for user input/output in CLI applications, providing proper buffering and cross-platform character encoding.

Good Example:

This example demonstrates building an interactive CLI application.

import { Terminal, Effect } from "@effect/platform";

interface UserInput {
  readonly name: string;
  readonly email: string;
  readonly age: number;
}

const program = Effect.gen(function* () {
  console.log(`\n[INTERACTIVE CLI] User Information Form\n`);

  // Example 1: Simple prompts
  yield* Terminal.writeLine(`=== User Setup ===`);
  yield* Terminal.writeLine(``);

  yield* Terminal.write(`What is your name? `);
  const name = yield* Terminal.readLine();

  yield* Terminal.write(`What is your email? `);
  const email = yield* Terminal.readLine();

  yield* Terminal.write(`What is your age? `);
  const ageStr = yield* Terminal.readLine();

  const age = parseInt(ageStr);

  // Example 2: Display collected information
  yield* Terminal.writeLine(``);
  yield* Terminal.writeLine(`=== Summary ===`);
  yield* Terminal.writeLine(`Name: ${name}`);
  yield* Terminal.writeLine(`Email: ${email}`);
  yield* Terminal.writeLine(`Age: ${age}`);

  // Example 3: Confirmation
  yield* Terminal.writeLine(``);
  yield* Terminal.write(`Confirm information? (yes/no) `);
  const confirm = yield* Terminal.readLine();

  if (confirm.toLowerCase() === "yes") {
    yield* Terminal.writeLine(`✓ Information saved`);
  } else {
    yield* Terminal.writeLine(`✗ Cancelled`);
  }
});

Effect.runPromise(program);

Rationale:

Terminal operations:

  • readLine: Read single line of user input
  • readPassword: Read input without echoing (passwords)
  • writeLine: Write line with newline
  • write: Write without newline
  • clearScreen: Clear terminal

Read the full file on GitHub · 1,196 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 1,196 lines · 23 tokens per session scan A 466aed28cd5a

Subscribe to this mod's changes

effect-patterns-platform is a skill published in the GitHub repository PaulJPhilp/EffectPatterns (795 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 7,713 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

effect-best-practices

Enforces Effect-TS patterns for services, errors, layers, and atoms. Use when writing code with Effect.Service, Schema.TaggedError, Layer composition, or effect-atom React components.

betalyra/effect-skills · 45 tokens

effect-rpc-cluster

Build typed RPC endpoints and cluster-distributed entities, singletons, cron jobs, and durable workflows with Effect's RPC and Cluster modules (Rpc/RpcGroup/RpcServer/RpcClient, Entity/Sharding/Singleton, Node/Bun bundles). Use when building RPC services or distributed/clustered Effect systems.

mpsuesser/pi-effect-harness · 68 tokens

effect-http-api

Build typed HTTP APIs with Effect's HttpApi — endpoints with schemas, handlers, security middleware, OpenAPI docs, derived clients, and handler unit tests. Use when building HTTP servers, REST APIs, or typed HTTP clients with Effect v4.

mpsuesser/pi-effect-harness · 53 tokens

effect-error-handling

Implement typed error handling in Effect v4 using Schema.TaggedErrorClass, catchTag/catchTags, catchReason/catchReasons, Cause, ErrorReporter, and recovery patterns. Use this skill when working with Effect error channels, handling expected failures, or designing error recovery strategies.

mpsuesser/pi-effect-harness · 61 tokens

effect-http-client

Make outgoing HTTP requests with Effect's HttpClient — HttpClientRequest builders, schema-decoded HttpClientResponse bodies, the HttpClientError taxonomy, retryTransient/rate limiting/cookies/redirects, streaming uploads and downloads, and FetchHttpClient/NodeHttpClient transport layers. Use when calling external…

mpsuesser/pi-effect-harness · 92 tokens

effect-http-server

Build HTTP servers with effect/unstable/http — HttpRouter routes and middleware, HttpServerRequest schema decoding, HttpServerResponse constructors, multipart uploads, websocket upgrades, static files, NodeHttpServer/BunHttpServer layers, and in-memory web handlers. Use when serving raw HTTP routes, reading request…

mpsuesser/pi-effect-harness · 84 tokens