effect-patterns-streams-sinks

effect-patterns-streams-sinks is a skill for Claude Code, Codex from PaulJPhilp/EffectPatterns. It costs 29 tokens per session (7,876 once invoked), scanned A, original, MIT.

A set of six Effect-TS examples for sending processed stream data to an end result, called a sink. The examples include batching records before inserting them into a database.

In plain words
What is it for?
Use it when building Effect-TS pipelines that consume streams, group records into batches, and send those batches to a database or another destination.
Why use it?
It helps avoid inefficient one-record-at-a-time operations when consuming streams, especially during database work.

Skill for Claude CodeCodex

Part of the effect-patterns plugin — 24 skills, 2 commands shipped together

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

Made for: Claude Code, Codex.

Or install effect-patterns, the plugin that ships this one along with the rest of its 24 skills, 2 commands.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,876 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 $0.00029 $0.07876
Opus 5 $0.00015 $0.03938
Sonnet 5 $0.00006 $0.01575
Haiku 4.5 $0.00003 $0.00788

Measured 3d ago against content hash 88a30e25b4eb, 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-streams-sinks 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 3d 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-streams-sinks/SKILL.md · 1,182 lines

How it starts

The opening of the file, as written. The whole thing — 1,182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Effect-TS Patterns: Streams Sinks

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

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

🟡 Intermediate Patterns

Sink Pattern 1: Batch Insert Stream Records into Database

Rule: Batch stream records before database operations to improve throughput and reduce transaction overhead.

Good Example:

This example demonstrates streaming user records from a paginated API and batching them for efficient database insertion.

import { Effect, Stream, Sink, Chunk } from "effect";

interface User {
  readonly id: number;
  readonly name: string;
  readonly email: string;
}

interface PaginatedResponse {
  readonly users: User[];
  readonly nextPage: number | null;
}

// Mock API that returns paginated users
const fetchUserPage = (
  page: number
): Effect.Effect<PaginatedResponse> =>
  Effect.succeed(
    page < 10
      ? {
          users: Array.from({ length: 50 }, (_, i) => ({
            id: page * 50 + i,
            name: `User ${page * 50 + i}`,
            email: `user${page * 50 + i}@example.com`,
          })),
          nextPage: page + 1,
        }
      : { users: [], nextPage: null }
  ).pipe(Effect.delay("10 millis"));

// Mock database insert that takes a batch of users
const insertUserBatch = (
  users: readonly User[]
): Effect.Effect<number> =>
  Effect.sync(() => {
    console.log(`Inserting batch of ${users.length} users`);
    return users.length;
  }).pipe(Effect.delay("50 millis"));

// Create a stream of users from paginated API
const userStream: Stream.Stream<User> = Stream.paginateEffect(
  0,
  (page) =>
    fetchUserPage(page).pipe(
      Effect.map((response) => [
        Chunk.fromIterable(response.users),
        response.nextPage !== null ? Option.some(response.nextPage) : Option.none(),
      ])
    )
);

// Sink that batches users and inserts them
const batchInsertSink: Sink.Sink<number, never, User> = Sink.fold(
  0,
  (count, chunk: Chunk.Chunk<User>) =>
    Effect.gen(function* () {
      const users = Chunk.toArray(chunk);
      const inserted = yield* insertUserBatch(users);
      return count + inserted;
    }),
  (count) => Effect.succeed(count)
).pipe(
  // Batch into groups of 100 users
  Sink.withChunking((chunk) =>
    chunk.pipe(
      Chunk.chunksOf(100),
      Stream.fromIterable,
      Stream.runCollect
    )
  )
);

// Run the stream with batching sink
const program = Effect.gen(function* () {
  const totalInserted = yield* userStream.pipe(
    Stream.run(batchInsertSink)
  );
  console.log(`Total users inserted: ${totalInserted}`);
});

Effect.runPromise(program);

Read the full file on GitHub · 1,182 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. 3d ago First seen · 1,182 lines · 29 tokens per session scan A 88a30e25b4eb

Subscribe to this mod's changes

effect-patterns-streams-sinks is a skill published in the GitHub repository PaulJPhilp/EffectPatterns (796 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 7,876 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.

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