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Agent skill

SQL Generation

by academiadocodigo in academiadocodigo/SimpleORM

SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior.

MITAuto-check passedDatabases

Install SQL Generation

skills CLI
$ npx skills add academiadocodigo/SimpleORM --skill sql-generation -a claude-code

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

GitHub CLI
$ gh skill install academiadocodigo/SimpleORM sql-generation --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/academiadocodigo/SimpleORM.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/sql-generation .claude/skills/sql-generation && 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
sql-generation
GitHub stars
157
Token cost
~519 tokens
SKILL.md length
169 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior.

  • Tasks that involve SQL
  • SKILL.md covers Generation Flow, TSimpleSQL Methods, Pagination by Database Dialect and Soft Delete Behavior, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

SQL Generation is an agent skill from academiadocodigo/SimpleORM. SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering SQL. It works with SQL. The repository describes itself as: ORM Simples para Aplicações Delphi. The licence is MIT.

When your agent uses it

  • Tasks that involve SQL

Example prompts

  • “/sql-generation”

What it can do on your machine

Read from SKILL.md and the folder at commit 6227399. 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 pascal).

    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

SQL Generation loads about 519 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 169 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~519

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 academiadocodigo/SimpleORM at commit 6227399, republished under its MIT licence (© academiadocodigo). 169 words, ~519 tokens.

Download SKILL.mdSave it as .claude/skills/sql-generation/SKILL.md (or your agent's skills folder).
name
sql-generation
description
SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior.
user-invocable
false

SQL Generation in SimpleORM

Rules are in .claude/rules/sql-safety.md — this skill provides generation flow reference and examples.

Generation Flow

Entity (RTTI attributes)
  → TSimpleRTTI<T> extracts: TableName, Fields, PK, Where, SoftDeleteField, FieldsInsert, Param
    → TSimpleSQL<T> generates: SELECT, INSERT, UPDATE, DELETE
      → TSimpleDAO<T> fills Params via DictionaryFields
        → iSimpleQuery executes

TSimpleSQL<T> Methods

MethodGenerates
Select(var aSQL)SELECT fields FROM table WHERE ...
SelectId(var aSQL)SELECT fields FROM table WHERE pk = :pk
Insert(var aSQL)INSERT INTO table (fields) VALUES (:params)
Update(var aSQL)UPDATE table SET field=:field WHERE pk=:pk
Delete(var aSQL)DELETE FROM or UPDATE SET soft=1
LastID(var aSQL)SELECT FIRST(1) pk FROM table ORDER BY pk DESC
LastRecord(var aSQL)SELECT FIRST(1) fields FROM table ORDER BY pk DESC

Pagination by Database Dialect

DatabaseSyntaxPosition
FirebirdSELECT FIRST n SKIP n fields FROM ...After SELECT
MySQL... LIMIT n OFFSET nEnd of query
SQLite... LIMIT n OFFSET nEnd of query
Oracle... OFFSET n ROWS FETCH NEXT n ROWS ONLYEnd of query

Soft Delete Behavior

  • SELECT: Auto-appends WHERE soft_field = 0
  • DELETE: Becomes UPDATE table SET soft_field = 1 WHERE pk = :pk
  • ForceDelete: Ignores soft delete, uses real DELETE FROM

Fluent SQL Building

pascal
LDAO.SQL
  .Fields('ID, NAME')
  .Where('STATUS = 1')
  .OrderBy('NAME')
  .GroupBy('CATEGORY')
  .Join('INNER JOIN OTHER ON ...')
  .Skip(10)
  .Take(20)
  .&End
  .Find(LList);

Known Limitations

  • LastID/LastRecord hardcoded to Firebird syntax (SELECT FIRST(1)) — not dialect-aware

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

Files

Just SKILL.md in .claude/skills/sql-generation of academiadocodigo/SimpleORM.

Open the folder on GitHubat commit 6227399

Compare with similar skills

SQL Generation 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.

SQL Generation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SQL Generation this skillacademiadocodigo/SimpleORM157—~519Automated safety check: PassMIT
Evolving The Data ModelTriliumNext/Trilium38k—~2.1kAutomated safety check: PassAGPL-3.0
Orchardcore Data MigrationOrchardCMS/OrchardCore8.2k—~1.7kAutomated safety check: PassBSD-3-Clause
SQL Optimization Patternsynulihao/AgentSkillOS61711 repos~3.3kAutomated safety check: PassNone
SQL PortabilityHL7/sql-on-fhir150—~512Automated safety check: PassCustom licence
StmoSAP/project-foxhound1802 repos~1.8kAutomated safety check: PassGPL-3.0

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  • Isimplequery Contract

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Works with

Categories

Questions about SQL Generation

What does SQL Generation do?

SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior. SQL Generation is an agent skill from academiadocodigo/SimpleORM. SQL generation reference for SimpleORM — how TSimpleSQL builds queries, pagination by dialect, soft delete behavior.

When should I use SQL Generation?

SQL Generation fits situations like: tasks that involve SQL.

How do I install SQL Generation in Claude Code?

Run `npx skills add academiadocodigo/SimpleORM --skill sql-generation -a claude-code`. Or copy the skill folder (.claude/skills/sql-generation in academiadocodigo/SimpleORM) into .claude/skills/sql-generation in your project. Claude Code loads it when a task matches its description.

How do I install SQL Generation in Codex?

Run `npx skills add academiadocodigo/SimpleORM --skill sql-generation -a codex`. Or copy the skill folder (.claude/skills/sql-generation in academiadocodigo/SimpleORM) into .agents/skills/sql-generation in your project. Codex loads it when a task matches its description.

Can I use SQL Generation 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 academiadocodigo/SimpleORM --skill sql-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sql-generation, .gemini/skills/sql-generation, .github/skills/sql-generation and .opencode/skills/sql-generation in your project.

What does SQL Generation need to run?

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

Does SQL Generation 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 SQL Generation 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 SQL Generation use?

SQL Generation 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 SQL Generation use?

About 519 tokens (SKILL.md is roughly 2.1k 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 SQL Generation?

Skills that share tags, products or a category with SQL Generation: Evolving The Data Model (TriliumNext/Trilium, 38k stars), Orchardcore Data Migration (OrchardCMS/OrchardCore, 8.2k stars), SQL Optimization Patterns (ynulihao/AgentSkillOS, 617 stars) and SQL Portability (HL7/sql-on-fhir, 150 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SQL Generation?

academiadocodigo (a GitHub organization) maintains it in academiadocodigo/SimpleORM, which has 157 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 2, 2026.

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