effect-ts

kastalien-research/thoughtbox-dot-claude · updated Apr 8, 2026

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$npx skills add https://github.com/kastalien-research/thoughtbox-dot-claude --skill effect-ts
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summary

Effect-TS is a functional TypeScript library providing typed effects, structured concurrency, and a robust runtime. This skill covers correct usage patterns and addresses common misconceptions from LLM-generated content.

skill.md

Effect-TS Expert Guide

Effect-TS is a functional TypeScript library providing typed effects, structured concurrency, and a robust runtime. This skill covers correct usage patterns and addresses common misconceptions from LLM-generated content.

Quick Reference

import { Effect, Layer, Context, Fiber, Schedule, Cache, Scope } from "effect";
import { Schema, JSONSchema } from "@effect/schema";

Core Type Signature:

Effect<Success, Error, Requirements>
//      ↑        ↑       ↑
//      |        |       └── Dependencies (provided via Layers)
//      |        └── Expected errors (typed, must be handled)
//      └── Success value

Common Misconceptions

LLM outputs often contain incorrect APIs. Use this table to correct them:

Wrong (common in AI outputs) Correct
Effect.cachedWithTTL(...) Cache.make({ timeToLive: Duration })
Effect.cachedInvalidateWithTTL(...) cache.invalidate(key) / cache.invalidateAll()
Effect.match(...) Effect.either + Either.match, or Effect.catchTag
"thread-local storage" "fiber-local storage" via FiberRef
JSON Schema Draft 2020-12 @effect/schema generates Draft-07
fibers are "cancelled" fibers are "terminated" or "interrupted"
all queues have back-pressure only bounded queues; sliding/dropping do not
--only=production --omit=dev (npm 7+)

Error Handling: Two Error Types

Effect distinguishes between:

  1. Expected Errors (Failures) - Typed in E channel, must be handled
  2. Unexpected Errors (Defects) - Runtime bugs, captured but not typed
// Expected error - typed
const fetchUser = (id: string): Effect.Effect<User, UserNotFoundError | NetworkError> => ...

// Handle expected errors
const handled = pipe(
  fetchUser("123"),
  Effect.catchTag("UserNotFoundError", (e) => Effect.succeed(defaultUser)),
  Effect.catchTag("NetworkError", (e) => Effect.retry(schedule))
);

// Unexpected errors (defects) - captured by runtime
Effect.catchAllDefect(program, (defect) =>
  Console.error("Unexpected error", defect)
);

Fibers & Cancellation (Critical for MCP)

Fibers are lightweight virtual threads with native interruption:

// Fork a fiber
const fiber = yield* Effect.fork(longRunningTask);

// Interrupt it (e.g., when MCP client disconnects)
yield* Fiber.interrupt(fiber);

// Structured concurrency: child fibers auto-terminate with parent
const parent = Effect.gen(function* () {
  yield* Effect.fork(backgroundTask);  // Auto-interrupted when parent ends
  yield* mainTask;
});

// Daemon fibers outlive their parent
yield* Effect.forkDaemon(longLivedBackgroundTask);

Concurrency Primitives

Effect.race - First Wins, Losers Interrupted

// First to succeed wins; other is automatically interrupted
const result = yield* Effect.race(
  fetchFromCache,
  fetchFromDatabase
);

Effect.all with Concurrency Control

// Process 50 documents with max 5 concurrent
const results = yield* Effect.all(documents.map(processDoc), {
  concurrency: 5  // NOT a "worker pool" - limits concurrent tasks
});

Queue Types

// Bounded - applies back-pressure (offer suspends when full)
const bounded = yield* Queue.bounded<string>(100);

// Dropping - discards new items when full (no back-pressure)
const dropping = yield* Queue.dropping<string>(100);

// Sliding - discards oldest items when full (no back-pressure)
const sliding = yield* Queue.sliding<string>(100);

Layers for Dependency Injection

Layers construct services without leaking dependencies:

// Define a service
class Database extends Context.Tag("Database")<
  Database,
  { query: (sql: string) => Effect.Effect<Result> }
>() {}

// Create layer (dependencies handled at construction)
const DatabaseLive = Layer.effect(
  Database,
  Effect.gen(function* () {
    const config = yield* Config;  // Dependency injected here
    return {
      query: (sql) => Effect.tryPromise(() => runQuery(sql, config))
    };
  })
);

// Provide to program
const runnable = program.pipe(Effect.provide(DatabaseLive));

// For testing - swap implementation
const DatabaseTest = Layer.succeed(Database, {
  query: () => Effect.succeed(mockResult)
});

Resource Management

Effect.ensuring - Always Runs Finalizer

const program = pipe(
  Effect.tryPromise(() => openConnection()),
  Effect.ensuring(Console.log("Cleanup"))  // Runs on success, failure, OR interrupt
);

acquireUseRelease Pattern

const withConnection = Effect.acquireUseRelease(
  Effect.tryPromise(() => db.connect()),     // Acquire
  (conn) => Effect.tryPromise(() => conn.query("SELECT *")),  // Use
  (conn) => Effect.promise((
how to use effect-ts

How to use effect-ts on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add effect-ts
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/kastalien-research/thoughtbox-dot-claude --skill effect-ts

The skills CLI fetches effect-ts from GitHub repository kastalien-research/thoughtbox-dot-claude and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/effect-ts

Reload or restart Cursor to activate effect-ts. Access the skill through slash commands (e.g., /effect-ts) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.675 reviews
  • William Sharma· Dec 16, 2024

    effect-ts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ren Rao· Dec 16, 2024

    effect-ts reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hana Dixit· Dec 4, 2024

    Registry listing for effect-ts matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Rahul Santra· Nov 23, 2024

    I recommend effect-ts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hana Kapoor· Nov 23, 2024

    Keeps context tight: effect-ts is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Bansal· Nov 19, 2024

    I recommend effect-ts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Gill· Nov 15, 2024

    Useful defaults in effect-ts — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Gupta· Nov 15, 2024

    I recommend effect-ts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kaira Khanna· Nov 7, 2024

    effect-ts reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Noor Agarwal· Nov 7, 2024

    effect-ts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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