universal-creator 0.1.3

Skill scaffolding and artifact generation toolkit for VS Code Copilot / Claude agents

universal-creator

A collection of four generator skills for building Claude-native AI artifacts: hooks, agents, instructions, and prompts.

Each skill lives in skills/<name>/ with a SKILL.md file that Claude loads automatically when the skill is triggered.

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Skills

hook-generator

Trigger: "automate Claude Code behavior", "block a tool call", "add a hook", "enforce rules deterministically", "run a script after edit"

Designs and generates Claude Code hook configurations for all lifecycle events: PreToolUse, PostToolUse, UserPromptSubmit, Stop, SessionStart, PostCompact, and more.

→ skills/hook-generator/SKILL.md

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agent-generator

Trigger: "create a sub-agent", "design an agent role", "build a custom Claude agent", "tool restrictions per agent", "multi-stage agentic workflow"

Produces .agent.md files with bounded role definitions, explicit tool policies, system prompt stubs, and delegation rules.

→ skills/agent-generator/SKILL.md

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instruction-generator

Trigger: "write workspace instructions", "save coding preferences", "applyTo pattern", "add always-on rules", "create a copilot-instructions.md"

Generates *.instructions.md, copilot-instructions.md, and AGENTS.md files with correct glob patterns, verifiable rules, and scope guidance.

→ skills/instruction-generator/SKILL.md

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prompt-generator

Trigger: "write a prompt", "create a system prompt", "few-shot examples", "chain of thought", "prompt chaining", "improve this prompt"

Designs prompts using 18 techniques from zero-shot through graph-prompting. Includes technique justification, eval scenarios, and worked .prompt.md examples for every technique.

→ skills/prompt-generator/SKILL.md

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Repository layout

Abridged, current structure (checked against the workspace tree):

skills/
├── hook-generator/
│   ├── SKILL.md
│   ├── requirements.txt
│   ├── agents/
│   ├── assets/
│   ├── docs/events.md              ← full event reference
│   ├── docs/security.md
│   ├── eval-viewer/
│   ├── templates/
│   │   └── hook-block.json         ← copy-paste JSON structures
│   ├── examples/                   ← ready-to-use hook configs
│   ├── references/
│   ├── scripts/                    ← shared eval/packaging scripts + validate_hook_output.py + generate_hook_stub.py
│   └── evals/
│       ├── evals.json              ← 3 scenarios (happy, edge, repair)
│       ├── grading.json            ← per-assertion pass/fail criteria
│       ├── benchmark.json          ← with/without-skill quality delta
│       └── feedback.json           ← iteration notes and gaps
│
├── agent-generator/
│   ├── SKILL.md
│   ├── requirements.txt
│   ├── agents/
│   ├── assets/
│   ├── eval-viewer/
│   ├── templates/
│   │   └── agent-system-prompt.md  ← fill-in-the-blank template
│   ├── examples/                   ← sample .agent.md files
│   ├── references/
│   ├── scripts/                    ← shared eval/packaging scripts + validate_agent_output.py + generate_agent_stub.py
│   └── evals/
│       ├── evals.json
│       ├── grading.json
│       ├── benchmark.json
│       └── feedback.json
│
├── instruction-generator/
│   ├── SKILL.md
│   ├── requirements.txt
│   ├── agents/
│   ├── assets/
│   ├── eval-viewer/
│   ├── templates/
│   │   ├── instructions-concise.md
│   │   └── instructions-extended.md
│   ├── examples/                   ← sample .instructions.md files
│   ├── references/
│   ├── scripts/                    ← shared eval/packaging scripts + validate_instruction_output.py + generate_instruction_stub.py
│   └── evals/
│       ├── evals.json
│       ├── grading.json
│       ├── benchmark.json
│       └── feedback.json
│
└── prompt-generator/
    ├── SKILL.md
    ├── requirements.txt
    ├── agents/
    ├── assets/
    ├── docs/techniques.md          ← full 18-technique reference catalog
    ├── eval-viewer/
    ├── templates/
    │   ├── prompt-file.md          ← .prompt.md skeleton
    │   ├── chain.md
    │   └── react.md
    ├── examples/
    │   ├── few-shot-entity-extraction.prompt.md
    │   ├── zero-shot-document-summary.prompt.md
    │   └── techniques/             ← one worked .prompt.md per technique
    │       ├── zero-shot.prompt.md
    │       ├── few-shot.prompt.md
    │       ├── cot.prompt.md
    │       ├── prompt-chaining.prompt.md
    │       ├── react.prompt.md
    │       ├── meta-prompting.prompt.md
    │       ├── self-consistency.prompt.md
    │       ├── generate-knowledge.prompt.md
    │       ├── tree-of-thoughts.prompt.md
    │       ├── rag.prompt.md
    │       ├── art.prompt.md
    │       ├── ape.prompt.md
    │       ├── active-prompt.prompt.md
    │       ├── dsp.prompt.md
    │       ├── pal.prompt.md
    │       ├── reflexion.prompt.md
    │       ├── multimodal-cot.prompt.md
    │       └── graph-prompting.prompt.md
    ├── references/
    ├── scripts/                    ← shared eval/packaging scripts + validate_prompt_output.py + detect_over_prompting.py
    └── evals/
        ├── evals.json
        ├── grading.json
        ├── benchmark.json
        └── feedback.json

evals/
└── cross-skill-integration.json    ← multi-skill interplay scenario

src/
└── universal_creator/               ← CLI package (`universal-creator`)

.github/
└── workflows/
    └── cicd.yml                    ← CI/CD pipeline

Cross-platform compatibility

These skills follow the agentskills.io open standard: the same SKILL.md format works with both Claude Code and OpenAI Codex. Only the storage path differs.

For local GitHub Copilot workflows in this repository, skills are installed under .github/skills/<name>/.

Feature	Claude Code	OpenAI Codex
Skill format	SKILL.md (Markdown)	SKILL.md (same format)
Skill storage path	.claude/skills/<name>/	.agents/skills/<name>/
Hook events	30+ (see events.md)	6 (SessionStart, PreToolUse, PermissionRequest, PostToolUse, UserPromptSubmit, Stop)
Hook handler types	command, http, mcp_tool, prompt, agent	command only
Hook config location	settings.json	config.toml + [features] codex_hooks = true
Sub-agent format	.agent.md (Markdown)	.codex/agents/*.toml (TOML)
Built-in sub-agents	user-defined	default, worker, explorer
Implicit skill invocation	configurable	disable with allow_implicit_invocation: false

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Usage

These skills are designed for use with Copilot Chat or Claude's skill-loading system. When you describe a task matching a skill's trigger keywords, Claude loads the relevant SKILL.md and follows its workflow.

Run from PyPI with uvx

You can run universal-creator directly from PyPI without creating a local virtualenv:

uvx universal-creator --help
uvx universal-creator menu

Pinning a version is also supported:

uvx universal-creator==0.1.3 --help

You can also load them manually:

@workspace /skills/hook-generator/SKILL.md

or reference a specific template:

@workspace /skills/prompt-generator/templates/prompt-file.md