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project-scaffold

Interactive wizard that guides you through creating a comprehensive agentic development scaffold. Use when starting a new project or adding AI capabilities to an existing codebase. Asks about project goals, tech stack, team size, and workflows, then generates custom instructions, skills, agents, and MCP configurations.

Install with Tessl CLI

npx tessl i github:0xrabbidfly/eric-cartman --skill project-scaffold
What are skills?

82

3.17x

Quality

77%

Does it follow best practices?

Impact

89%

3.17x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./.github/skills/project-scaffold/SKILL.md
SKILL.md
Review
Evals

Evaluation results

88%

55%

AI Coding Setup for a New Go REST API Project

Skill file structure and progressive disclosure

Criteria
Without context
With context

Skill in correct location

100%

100%

templates/ subdirectory created

0%

100%

Template files in templates/

0%

100%

No templates embedded in SKILL.md

0%

100%

No examples >20 lines in SKILL.md

0%

100%

SKILL.md references supporting files

0%

100%

SKILL.md frontmatter name format

0%

100%

SKILL.md frontmatter has description

0%

100%

SKILL.md body length within limits

100%

50%

Root instructions within size limits

100%

100%

Tier 2 body is workflow-focused

100%

100%

examples.md or patterns.md created

0%

0%

Without context: $0.4384 · 2m 20s · 21 turns · 76 in / 6,835 out tokens

With context: $0.9713 · 3m 29s · 34 turns · 220 in / 11,718 out tokens

88%

58%

Standardize AI Tooling for a TypeScript + Python Team

Language-specific instruction files and core configuration

Criteria
Without context
With context

Root instruction file path

0%

100%

Root instruction file size

50%

62%

TypeScript instruction file exists

25%

100%

TypeScript applyTo glob

0%

100%

Python instruction file exists

25%

100%

Python applyTo glob

0%

100%

Instruction files size limit

0%

50%

Instruction frontmatter has name

0%

100%

Skills in correct location

25%

100%

No agent files generated

100%

100%

React or framework instruction

25%

37%

setup-notes.md created

100%

100%

Without context: $0.6126 · 3m 3s · 26 turns · 33 in / 9,856 out tokens

With context: $0.8291 · 3m 17s · 30 turns · 34 in / 10,285 out tokens

93%

72%

Full AI Automation Stack for a Large Node.js Platform Team

MCP server configuration and advanced agent generation

Criteria
Without context
With context

.vscode/settings.json created

0%

100%

mcpServers key present

0%

100%

filesystem MCP server included

0%

100%

github MCP server included

0%

100%

.github/agents/ directory created

0%

100%

Backend specialist agent

28%

100%

Frontend specialist agent

28%

100%

DevOps specialist agent

28%

100%

Agent file size within limits

0%

0%

docs/agentic-setup.md created

0%

100%

Security skill generated

37%

100%

scaffold-summary.md created

100%

100%

Without context: $1.0987 · 6m 25s · 40 turns · 37 in / 20,476 out tokens

With context: $1.4908 · 7m · 52 turns · 291 in / 22,700 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.