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Sculptor

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GadaaLabs
sculptor

Use when creating new skills, editing existing skills, or verifying skills work before deployment — applies TDD to process documentation with the same Iron Law as FORGE

Overview

PublisherGadaaLabs
Repositoryclaude-code-on-steroids
Skill namesculptor
Stars
67
Forks
10
Bundled files
1
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 GadaaLabs on GitHub. Read the source before you install it.

Installation

Install the Sculptor 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.
  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/GadaaLabs/claude-code-on-steroids.git /tmp/claude-code-on-steroids
mkdir -p .claude/skills
cp -r /tmp/claude-code-on-steroids/skills/sculptor .claude/skills/sculptor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sculptor 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 Sculptor 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 Sculptor 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.

Writing Skills

Overview

SCULPTORA sculptor does not add clay randomly — every choice is deliberate, tested against the form, and refined until it holds. When invoked: applies TDD to skill creation — write a failing test (pressure scenario) first, then write the skill to pass it, then refactor to close every loophole. No skill ships without watching an agent fail without it first.

Core principle: Creating skills IS Test-Driven Development applied to process documentation.

Announce at start: "Running SCULPTOR to write this skill with TDD discipline."

Required background: You must understand forge before using this skill. The RED-GREEN-REFACTOR cycle is identical — only the artifact changes.


The Iron Law (Same as FORGE)

NO SKILL WITHOUT A FAILING TEST FIRST

Applies to new skills AND edits to existing skills.

No exceptions:

  • Not for "simple additions"
  • Not for "just adding a section"
  • Not for "documentation updates"
  • Don't keep untested changes as "reference"
  • Don't "adapt" while running tests
  • Delete means delete — start over

TDD Mapping for Skills

FORGE ConceptSCULPTOR Equivalent
Test casePressure scenario with subagent
Production codeSKILL.md
RED — test failsAgent violates the rule without the skill
GREEN — test passesAgent complies with the skill present
REFACTORClose loopholes while maintaining compliance
Write test firstRun baseline scenario BEFORE writing skill
Watch it failDocument exact rationalizations the agent uses
Minimal codeWrite skill addressing those specific violations only

When to Create a Skill

Create when:

  • Technique wasn't intuitively obvious
  • You'd reference it again across projects
  • Pattern applies broadly (not project-specific)
  • Others would benefit

Don't create for:

  • One-off solutions
  • Standard practices well-documented elsewhere
  • Project-specific conventions (put in CLAUDE.md instead)
  • Mechanical constraints that can be enforced with regex or validation — automate instead

SKILL.md Structure

markdown
---
name: skill-name
description: Use when [specific triggering conditions and symptoms]
type: process | domain | implementation
---

# Skill Name

## Overview
[Codename meaning + execution description]
Core principle in 1–2 sentences.
Announce at start: "Running [NAME] for [purpose]."

## Entry Point / When to Use
[Small flowchart ONLY if decision is non-obvious]
[Symptom-based bullet list]

## Core Pattern
[Steps, tables, code]

## Quick Reference
[Table for fast scanning]

## Red Flags
Never: ...
Always: ...

## Final Checklist
- [ ] Verifiable completion criterion

Claude Search Optimization (CSO)

Skills are useless if they can't be found. Optimize for discovery.

The Description Rule — Most Critical

Description = WHEN to use. Never WHAT it does.

yaml
# ❌ BAD: Summarizes workflow — Claude follows the description instead of reading the skill
description: Use when executing plans — dispatches subagent per task with review between tasks

# ✅ GOOD: Triggering conditions only
description: Use when executing implementation plans with independent tasks in the current session

Why this matters: When a description summarizes workflow, Claude takes it as a shortcut and skips reading the skill body. A description saying "code review between tasks" caused Claude to do ONE review, even though the skill showed TWO. Changing to triggering-conditions-only fixed it.

Format rules:

  • Start with "Use when..."
  • Describe symptoms and situations, not process steps
  • Write in third person (injected into system prompt)
  • Under 500 characters

Keyword Coverage

Include words Claude would search for:

  • Error messages: "Hook timed out", "race condition", "ENOTEMPTY"
  • Symptoms: "flaky", "hanging", "zombie", "pollution"
  • Synonyms: "timeout/hang/freeze", "cleanup/teardown/afterEach"
  • Tool names, library names, file types

Token Efficiency

Target word counts:

  • Frequently-loaded skills: < 200 words total
  • Other skills: < 500 words

Techniques:

  • Move heavy reference (100+ lines) to patterns/ files (lazy-load)
  • Cross-reference other skills instead of repeating their content
  • One excellent code example beats five mediocre ones

Load the patterns/persuasion-principles.md file for research-backed techniques on making skills behaviorally resilient under pressure.


RED-GREEN-REFACTOR for Skills

RED — Run Baseline First

Run a pressure scenario with a subagent without the skill. Document:

  • What choices did the agent make?
  • What rationalizations did it use (verbatim)?
  • Which pressures triggered the violation?

This is non-negotiable. You must see the failure before writing the skill.

GREEN — Write Minimal Skill

Write the skill to address those specific rationalizations only. No speculative content.

Run the same scenario with the skill present. The agent should now comply.

REFACTOR — Close Loopholes

Agent found a new rationalization? Add an explicit counter. Re-test. Repeat until bulletproof.


Bulletproofing Against Rationalization

For discipline-enforcing skills, close loopholes explicitly:

State the rule AND forbid the workarounds:

markdown
❌ Write code before test? Delete it.

✅ Write code before test? Delete it. Start over.
   No exceptions:
   - Don't keep it as "reference"
   - Don't "adapt" it while writing tests
   - Don't look at it
   - Delete means delete

Add the spirit-vs-letter block early:

markdown
Violating the letter of the rules is violating the spirit of the rules.

Build a rationalization table from your baseline test:

markdown
| Excuse | Reality |
|--------|---------|
| "Too simple to test" | Simple code breaks. Test takes 30 seconds. |
| "Tests after achieve the same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" |

Skill Deployment Checklist

RED Phase:

  • Pressure scenarios written (3+ combined pressures for discipline skills)
  • Baseline run without skill — behavior documented verbatim
  • Rationalization patterns identified

GREEN Phase:

  • name: uses letters, numbers, hyphens only
  • description: starts with "Use when...", triggering conditions only, third person
  • Addresses specific baseline failures from RED
  • One excellent code example (not multi-language)
  • Scenarios run WITH skill — agent now complies

REFACTOR Phase:

  • New rationalizations identified and countered
  • Rationalization table built from all test iterations
  • Red Flags list written
  • Re-tested until bulletproof

Quality Checks:

  • No narrative storytelling ("in session 2025-10-03 we found...")
  • Flowchart only if decision is non-obvious
  • Supporting files only for tools or heavy reference
  • Token-efficient — heavy content in patterns/ files

Red Flags

Never:

  • Write a skill without a failing baseline test first
  • Create multiple skills in batch without testing each one
  • Move to the next skill before the current one is verified
  • Keep untested changes as "reference"

Always:

  • RED → GREEN → REFACTOR, in that order
  • Deploy and test each skill before starting the next
  • Build the rationalization table from real baseline failures
  • Optimize description for discovery (triggering conditions only)

Integration

Required background:

  • forge — the TDD cycle this skill adapts to documentation

Pairs with:

  • oracle — classify skill creation as a task before starting
  • sentinel — verify the skill works before claiming it's done

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 Sculptor AI skill do?

Use when creating new skills, editing existing skills, or verifying skills work before deployment — applies TDD to process documentation with the same Iron Law as FORGE

Why use Sculptor on TypingMind?

Because you install it once and use it with any model. Sculptor 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 Sculptor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GadaaLabs/claude-code-on-steroids/tree/main/skills/sculptor. 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 Sculptor?

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 Sculptor?

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

Is the Sculptor AI skill free?

It is published on GitHub by GadaaLabs. Check the repository for licensing terms. 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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