sqlmodel

Data Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Data
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@tomevault-io · no license declared
Token usage
Heavy
Setup complexity
Guided setup
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
  • Shell exec
  • Env read
Network behavior
Local-only
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview sqlmodel.preview
---
name: sqlmodel
description: Build SQL database integrations with SQLModel for FastAPI projects. Use when working with databa…
category: data
runtime: Python
---

# sqlmodel output preview

## PART A: Task fit
- Use case: Build SQL database integrations with SQLModel for FastAPI projects. Use when working with databases in Python, defining ORM models, creating CRUD operations, managing sessions, or integrating SQL databases with FastAPI. SQLModel combines Pydantic v2 and SQLAlchemy into a single unified API. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to Use This Skill / Installation / Core Concepts” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Build SQL database integrations with SQLModel for FastAPI projects. Use when working with databases in Python, defining ORM models, creating CRUD operations, managing sessions, or integrating SQL databases with FastAPI. SQLModel combines Pydantic v2 and SQLAlchemy into a single unified API. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “When to Use This Skill / Installation / Core Concepts” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands, read environment variables; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands, read environment variables; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Build SQL database integrations with SQLModel for FastAPI projects. Use when working with databases in Python, defining ORM mode…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “When to Use This Skill”, “Installation”, “Core Concepts”, “1. Model Types”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name sqlmodel directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “When to Use This Skill / Installation / Core Concepts” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write / shell-exec / env-read; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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