Ts Coder logo

Ts Coder

Organization
sno-ai
ts-coder

Implement and refactor production TypeScript/TSX, strict types, APIs, and migrations.

Overview

Publishersno-ai
Repositorysno-station-skills
Skill namets-coder
Stars
857
Forks
609
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sno-ai on GitHub. Read the source before you install it.

Installation

Install the Ts Coder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sno-ai/sno-station-skills/tree/main/plugins/sno-station-standalone/skills/ts-coder
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sno-ai/sno-station-skills.git /tmp/sno-station-skills
mkdir -p .claude/skills
cp -r /tmp/sno-station-skills/plugins/sno-station-standalone/skills/ts-coder .claude/skills/ts-coder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ts Coder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ts Coder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ts Coder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TypeScript Coder

Every development task has a finite budget including setup, tests, and reporting. Before running tests, estimate duration from available timings and identify the changed behavior or directly affected consumer. If timing is unknown, state an estimate; do not build a timing system or run a preliminary suite. Full evaluation, unit, integration, or repository suites require the owner's explicit request, never a skill, PRD, review, or default command. Remove checks that neither prove the requested main function nor expose its defects. Repeat only after a relevant change or failure. Every new security check requires the owner's explicit approval for that specific check; remove auxiliary security, assertion, hash, or bookkeeping blockers of useful work.

Write TypeScript that fits the current repository, stays small, and is easy to verify. Local repo instructions add project-specific detail; they do not weaken these rules.

Boundaries

  • No backward compatibility by default. No legacy paths, compatibility wrappers, migration shims, dual-format support, or fallback behavior unless explicitly requested. A published external contract is the only exception, and only when the user or repo instructions confirm it is published.
  • Read before writing. Runtime and package manager from local files (package.json, lockfiles, tsconfig*); the target file, its exports, direct callers, shared helpers, and tests. Reuse source-of-truth schemas/types instead of duplicating shapes.
  • Official docs for third-party behavior. Before changing a dependency version, or using a third-party API, SDK, CLI, or service in a way neither the PRD nor existing code already shows, read its current official documentation; for a version change, read the release notes between the two versions. Name the page and version in the report. When a PRD governs the work and lacks or contradicts that fact, add it to the PRD's execution notes.
  • Surgical changes. Touch only files the task needs. No unrequested options/flags/configurability, no new helpers that duplicate existing utilities, no formatting churn, renames, or opportunistic cleanup.
  • Deterministic code for deterministic decisions. Routing, retries, status handling, validation, and parsing belong in code, never in a model call.
  • Conflicting local patterns: pick one source of truth (by authority, recency, test coverage), state the choice, flag the other for cleanup — never blend into a third style.
  • State uncertainty that affects behavior, public API, data shape, or migration semantics before coding, and decide the verification command before coding.

Standards

  • unknown + narrowing over any. Type guards or schema validation over assertions; a narrow assertion only at a validated boundary, with a short comment. No non-null assertions — narrow with control flow or fail early.
  • Exported functions explicitly typed. Named exports unless the repo or framework requires default exports.
  • Discriminated unions where impossible states matter; as const satisfies for literal maps that need exhaustiveness.
  • Functions under ~50 lines, max 3 indentation levels; extract only when it clarifies real complexity.
  • Validate external boundaries with the repo's existing parser/schema library (zod, valibot, generated types, or local validators). Fail clearly — no fallback behavior that hides invalid state.
  • Clean up timers, listeners, subscriptions, and abort controllers in finally or explicit teardown.
  • Keep fixed-format parsing and protocol literals in code; use existing translation resources only for text that requires localization. Reuse the repository's configuration approach rather than introducing a configuration or translation system for an ordinary change.

Migrations

Hard cut by default: replace the old path rather than running old and new together. No compatibility aliases, duplicate parsing, legacy env names, or fallback resolution unless explicitly requested. For a published package, inspect its actual external contract and the owner's settled instruction. Preserve that contract unless a breaking change is authorized. Resolve routine implementation choices directly; ask only if a new fact requires an owner decision, and continue independent work. Preserve unrelated local modifications and user work; never rewrite history or reset files to make a migration easier.

Verification

Narrowest relevant checks first, broader when the change touches shared behavior:

  1. Typecheck the edited package.
  2. Run focused tests for changed behavior.
  3. Lint/format only through the repo's existing commands.
  4. For shared/public behavior, check the changed behavior and directly affected consumers. Never expand to a package-wide or workspace-wide test suite without an explicit human request.

Every "done" claim must trace to a command actually run this session; if a check fails, report the failure with its output — never report done with errors outstanding.

Delivery

Report: what changed and why; the compatibility decision if the task touched public API, data formats, env/config names, or migration behavior; the verification commands actually run and their results; any remaining conflict or cleanup item intentionally not changed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ts Coder AI skill do?

Implement and refactor production TypeScript/TSX, strict types, APIs, and migrations.

Why use Ts Coder on TypingMind?

Because you install it once and use it with any model. Ts Coder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ts Coder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sno-ai/sno-station-skills/tree/main/plugins/sno-station-standalone/skills/ts-coder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ts Coder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ts Coder?

As many as you like. As long as a model supports skills, you can use Ts Coder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ts Coder AI skill free?

Yes. It is published on GitHub by sno-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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