Agent skill

Aidd Service

by paralleldrive in paralleldrive/aidd

Enforces asynchronous data service authoring best practices.

MITAuto-check passedFrontend & Design

Install Aidd Service

skills CLI
$ npx skills add paralleldrive/aidd --skill aidd-service -a claude-code

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

GitHub CLI
$ gh skill install paralleldrive/aidd aidd-service --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/paralleldrive/aidd.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai/skills/aidd-service .claude/skills/aidd-service && 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
aidd-service
GitHub stars
384
Token cost
~1.1k tokens
SKILL.md length
187 words
Files
2
Skills in repo
35
Repo updated
First seen
Licence
MIT

At a glance

Enforces asynchronous data service authoring best practices.

  • Creating front-end
  • SKILL.md covers Front-end vs back-end services, Front-end service constraints, Benefits and Folder structure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Back-end services

What it does

Aidd Service is an agent skill from paralleldrive/aidd. Enforces asynchronous data service authoring best practices. Use when creating front-end or back-end services, service interfaces, Observe patterns, AsyncDataService, or when the user asks about service layer, data flow, unidirectional UI, or action/observable design.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Frontend & Design, covering Backend development and Async programming. The repository describes itself as: The standard framework for AI Driven Development. The licence is MIT.

When your agent uses it

  • Creating front-end
  • Back-end services
  • Service interfaces
  • Observe patterns

Example prompts

  • “Use the aidd-service skill to enforce asynchronous data service authoring best practices”
  • “/aidd-service”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a7c8e3. 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 (its code samples are sudolang).

    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

Aidd Service loads about 1.1k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 paralleldrive/aidd at commit 9a7c8e3, republished under its MIT licence (© paralleldrive). 187 words, ~1,076 tokens.

Download SKILL.mdSave it as .claude/skills/aidd-service/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
aidd-service
description
Enforces asynchronous data service authoring best practices. Use when creating front-end or back-end services, service interfaces, Observe patterns, AsyncDataService, or when the user asks about service layer, data flow, unidirectional UI, or action/observable design.

Service authoring

Asynchronous data services. Live in the services/ layer per structure. Adhere to namespace for type and function organization.

Data = readonly JSON values or Blobs.


Front-end vs back-end services

sudolang
FrontEndService {
  allowed: ["Observe<Data>", "other services (sub-Services)", "void-returning action functions"]
  notAllowed: ["Promise or AsyncGenerator return"]
}

BackEndService {
  typicallyReturns: "Promise<Data> | AsyncGenerator<Data>"
  notCalledFrom: "UI"
  calledBy: "front-end services"
}

Constraints {
  UI components: unidirectional path — data down via void actions, data up via Observe
}

Back-end services — usually stateless. Functions typically return Promise<Data> or AsyncGenerator<Data>. Not called directly from UI; front-end services call them.


Front-end service constraints

sudolang
ServiceInterfaceForUI {
  mayContain: [
    "Observe<Data> — observable properties or factories",
    "Sub-Services — nested service interfaces",
    "Action functions — zero or more Data arguments, return void only",
    "Factory functions — create observables or sub-Services"
  ]
  observablesMayObserve: ["Data", "Service interfaces only"]
  compileTimeCheck: "Assert<AsyncDataService.IsValid<ServiceInterface>>"
}

Benefits

  • Unidirectional flow — data down via actions, data up via Observe
  • Async isolation — view and service decoupled
  • Inspectability — action/observable data serializable
  • Portability — implementation swappable across process boundaries
  • Lazy Loading - can use AsyncDataService.createLazy to wrap with lazy load on first actual usage.

Folder structure

sudolang
ServicePaths {
  "services/<name>-service/<name>-service.ts" = "Service interface only"
  "services/<name>-service/<function-name>.ts" = "One file per function; re-export from public"
  "services/<name>-service/<implementation>-<name>-service.ts" = "Implementation factory"
  "services/<name>-service/<implementation>-<name>-service/" = "Implementation folder if multi-file"
}

Constraints {
  Each function lives in its own file — not a single -service-functions.ts
  Interface file: types and optionally JSON schemas only; no implementation-specific code
  Implementation: factory function or static plain object only; no classes
  Namespace: export * as ServiceName from public.js or from functions/index.js
}

Per namespace, each function lives in its own file — not a single -service-functions.ts.

Interface file — types and optionally JSON schemas only. No implementation-specific code. Follow namespace for type re-exporting (single import surface for consumers).

Implementation — factory function or static plain object. Export only that. No classes — brittle this bindings, violate pure functional design, block recomposing higher-order services from functions.

Namespace — export * as ServiceName from './public.js'; public.ts re-exports create and helpers. Or export * as ServiceName from './functions/index.js' when using a functions module. Per namespace.


Execute

sudolang
fn whenCreatingOrModifyingService() {
  Constraints {
    Place in services/<name>-service/ per structure
    Interface in <name>-service.ts — types only, extend Service, add Assert<AsyncDataService.IsValid<>>
    Export namespace from public.js or functions/index.js
    In public.ts re-export create and all public helpers
    Implementation in <implementation>-<name>-service.ts or folder — factory or static instance only
    Front-end (UI-called): actions return void only; observables observe Data or Service only
    Back-end: functions return Promise<Data> or AsyncGenerator<Data>
  }
}

Additional resources

  • observe — Observe pattern and helper functions

© paralleldrive, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in ai/skills/aidd-service of paralleldrive/aidd.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 9a7c8e3

Compare with similar skills

Aidd Service 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.

Aidd Service compared with similar skills
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Aidd Service this skillparalleldrive/aidd384—~1.1kAutomated safety check: PassMIT
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App Feedback AdminJamailar/Beav1.8k—~1.1kAutomated safety check: PassCustom licence
Solar Iconssaoudi-h/solar-icons184—~2.1kAutomated safety check: PassMIT
FastAPI Project Templateswshobson/agents40k12 repos~901Automated safety check: PassMIT

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Questions about Aidd Service

What does Aidd Service do?

Enforces asynchronous data service authoring best practices. Aidd Service is an agent skill from paralleldrive/aidd. Enforces asynchronous data service authoring best practices.

When should I use Aidd Service?

Aidd Service fits situations like: creating front-end; back-end services; service interfaces; observe patterns.

How do I install Aidd Service in Claude Code?

Run `npx skills add paralleldrive/aidd --skill aidd-service -a claude-code`. Or copy the skill folder (ai/skills/aidd-service in paralleldrive/aidd) into .claude/skills/aidd-service in your project. Claude Code loads it when a task matches its description.

How do I install Aidd Service in Codex?

Run `npx skills add paralleldrive/aidd --skill aidd-service -a codex`. Or copy the skill folder (ai/skills/aidd-service in paralleldrive/aidd) into .agents/skills/aidd-service in your project. Codex loads it when a task matches its description.

Can I use Aidd Service 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 paralleldrive/aidd --skill aidd-service -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aidd-service, .gemini/skills/aidd-service, .github/skills/aidd-service and .opencode/skills/aidd-service in your project.

What does Aidd Service need to run?

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

Does Aidd Service 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 Aidd Service 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 Aidd Service use?

Aidd Service is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aidd Service use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Aidd Service?

Skills that share tags, products or a category with Aidd Service: MCP Development (coollabsio/coolify, 63k stars), Turnstile Spin (cloudflare/skills, 3k stars), App Feedback Admin (Jamailar/Beav, 1.8k stars) and Solar Icons (saoudi-h/solar-icons, 184 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aidd Service?

paralleldrive (a GitHub organization) maintains it in paralleldrive/aidd, which has 384 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on June 12, 2026.

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