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scaffold-decorator

Add or wire helpers/decorators, preferring ArchiPy's (ttl_cache, atomic UoW, trace_span, measure_duration, retry).

Skill by SyntaxArc

IndexedMIT★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/syntaxarc-scaffold-decorator

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Add or wire helpers/decorators, preferring ArchiPy's (ttl_cache, atomic UoW, trace_span, measure_duration, retry). Use for "cache this function", "add timing/tracing/retry", or "write a decorator".

Use cases: writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
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Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/scaffold-decorator

What's inside

Skill name
scaffold-decorator
Description
Add or wire helpers/decorators, preferring ArchiPy's (ttl_cache, atomic UoW, trace_span, measure_duration, retry). Use for "cache this function", "add timing/tracing/retry", or "write a decorator".
License
MIT
Instructions
107 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Scaffold ArchiPy Decorator

## Scope

**Only** `helpers/decorators/`. Do not create utils or interceptors here.

## Read first

Read these plugin rules in full before generating files (paths relative to this skill directory; Claude Code: `${CLAUDE_SKILL_DIR}/../../rules/`):

- `../../rules/using-archipy-decorators.mdc`

## Before writing files

1. Inspect existing decorators, call sites, and the installed ArchiPy version for a matching decorator.
2. Infer sync/async style and project naming from the target call site.
3. Ask only for unresolved behavior. Prefer an ArchiPy decorator whenever it fits.
4. Preserve existing decorator modules; do not overwrite.

## Prefer ArchiPy

Examples:

- `from archipy.helpers.decorators import ttl_cache`
- `from archipy.adapters.base.sqlalchemy.atomic import postgres_sqlalchemy_atomic` (detects `async def`)
- `trace_span` / `trace_root` (+ async twins) from `archipy.helpers.decorators.tracing`
- `measure_duration` / `count_calls` (+ async twins) from `archipy.helpers.decorators.metrics`
- `timeout`, `retry`, `singleton`, `timing`, and
  `grpc_rate_limit` under `archipy.helpers.decorators`

Show correct usage on a sample function; do not reimplement. UoW decorators belong on **logics**, not
services/repositories.

## Custom decorator

Create `helpers/decorators/<name>.py`:

```python
from __future__ import annotations

import functools
import inspect
import logging
import time
from collections.abc import Callable
from typing import ParamSpec, TypeVar

logger = logging.getLogger(__name__)

P = ParamSpec("P")
R = TypeVar("R")


def timed(func: Callable[P, R]) -> Callable[P, R]:
    """Log wall-clock duration of a sync call.

    Args:
        func: Callable to wrap.

    Returns:
        Wrapped callable that logs elapsed milliseconds.

    Raises:
        TypeError: If `func` is a coroutine function — use an async twin instead.

    Example:
        @timed
        def build_report(order_id: str) -> str:
            ...
    """
    if inspect.iscoroutinefunction(func):
        raise TypeError(f"{func.__qualname__} is async; use an async twin instead of timed()")

    @functools.wraps(func)
    def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
        started = time.perf_counter()
        try:
            return func(*args, **kwargs)
        finally:
            elapsed_ms = (time.perf_counter() - started) * 1000
            logger.debug("%s took %.2f ms", func.__qualname__, elapsed_ms)

    return wrapper
```

- Use `functools.wraps`
- Preserve types where practical (`ParamSpec` / `TypeVar`)
- Google-style docstring with Args/Returns and a usage example
- **No** concrete adapter imports at module level
- One decorator detects `async def` with `inspect.iscoroutinefunction` and returns a sync or async wrapper

## Do not

- Wrap an `async def` with a sync wrapper (it would return an un-awaited coroutine).

## Verify

Run formatter/linter and focused tests for return values, exceptions, and metadata/signature preservation. Report the
reused ArchiPy API or files created, plus commands run.

## Docs

- https://syntaxarc.github.io/ArchiPy/tutorials/helpers/
- Bundled skill reference: `../archipy-docs/reference/helpers.md` (Decorators section), resolved relative to this `SKILL.md`'s
  directory in the plugin installation — not the app workspace.

From SyntaxArc/archipy-plugin, MIT.

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Stars
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Last commit (this folder)
Oct 18, 2026 (10 days ago)
Last release
Oct 18, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

scaffold-decorator skill. Agent Mart. https://agentmart.dev/skills/syntaxarc-scaffold-decorator (last updated 2026-10-24)