plugin-creator

OWNER/REPO · updated May 7, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/openai/skills/blob/main/skills --skill plugin-creator
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summary

Create and scaffold plugin directories for Codex with required and optional structures for easy plugin management.

skill.md
name
plugin-creator
description
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.

Plugin Creator

Quick Start

  1. Run the scaffold script:
  # Plugin names are normalized to lower-case hyphen-case and must be <= 64 chars.
  # The generated folder and plugin.json name are always the same.
# Run from repo root (or replace .agents/... with the absolute path to this SKILL).
# By default creates in <repo_root>/plugins/<plugin-name>.
python3 .agents/skills/plugin-creator/scripts/create_basic_plugin.py <plugin-name>
  1. Open <plugin-path>/.codex-plugin/plugin.json and replace [TODO: ...] placeholders.

  2. Generate or update the repo marketplace entry when the plugin should appear in Codex UI ordering:

# marketplace.json always lives at <repo-root>/.agents/plugins/marketplace.json
python3 .agents/skills/plugin-creator/scripts/create_basic_plugin.py my-plugin --with-marketplace

For a home-local plugin, treat <home> as the root and use:

python3 .agents/skills/plugin-creator/scripts/create_basic_plugin.py my-plugin \
  --path ~/plugins \
  --marketplace-path ~/.agents/plugins/marketplace.json \
  --with-marketplace
  1. Generate/adjust optional companion folders as needed:
python3 .agents/skills/plugin-creator/scripts/create_basic_plugin.py my-plugin --path <parent-plugin-directory> \
  --with-skills --with-hooks --with-scripts --with-assets --with-mcp --with-apps --with-marketplace

<parent-plugin-directory> is the directory where the plugin folder <plugin-name> will be created (for example ~/code/plugins).

What this skill creates

  • If the user has not made the plugin location explicit, ask whether they want a repo-local plugin or a home-local plugin before generating marketplace entries.
  • Creates plugin root at /<parent-plugin-directory>/<plugin-name>/.
  • Always creates /<parent-plugin-directory>/<plugin-name>/.codex-plugin/plugin.json.
  • Fills the manifest with the full schema shape, placeholder values, and the complete interface section.
  • Creates or updates <repo-root>/.agents/plugins/marketplace.json when --with-marketplace is set.
    • If the marketplace file does not exist yet, seed top-level name plus interface.displayName placeholders before adding the first plugin entry.
  • <plugin-name> is normalized using skill-creator naming rules:
    • My Pluginmy-plugin
    • My--Pluginmy-plugin
    • underscores, spaces, and punctuation are converted to -
    • result is lower-case hyphen-delimited with consecutive hyphens collapsed
  • Supports optional creation of:
    • skills/
    • hooks/
    • scripts/
    • assets/
    • .mcp.json
    • .app.json

Marketplace workflow

  • marketplace.json always lives at <repo-root>/.agents/plugins/marketplace.json.
  • For a home-local plugin, use the same convention with <home> as the root: ~/.agents/plugins/marketplace.json plus ./plugins/<plugin-name>.
  • Marketplace root metadata supports top-level name plus optional interface.displayName.
  • Treat plugin order in plugins[] as render order in Codex. Append new entries unless a user explicitly asks to reorder the list.
  • displayName belongs inside the marketplace interface object, not individual plugins[] entries.
  • Each generated marketplace entry must include all of:
    • policy.installation
    • policy.authentication
    • category
  • Default new entries to:
    • policy.installation: "AVAILABLE"
    • policy.authentication: "ON_INSTALL"
  • Override defaults only when the user explicitly specifies another allowed value.
  • Allowed policy.installation values:
    • NOT_AVAILABLE
    • AVAILABLE
    • INSTALLED_BY_DEFAULT
  • Allowed policy.authentication values:
    • ON_INSTALL
    • ON_USE
  • Treat policy.products as an override. Omit it unless the user explicitly requests product gating.
  • The generated plugin entry shape is:
{
  "name": "plugin-name",
  "source": {
    "source": "local",
    "path": "./plugins/plugin-name"
  },
  "policy": {
    "installation": "AVAILABLE",
    "authentication": "ON_INSTALL"
  },
  "category": "Productivity"
}
  • Use --force only when intentionally replacing an existing marketplace entry for the same plugin name.

  • If <repo-root>/.agents/plugins/marketplace.json does not exist yet, create it with top-level "name", an "interface" object containing "displayName", and a plugins array, then add the new entry.

  • For a brand-new marketplace file, the root object should look like:

{
  "name": "[TODO: marketplace-name]",
  "interface": {
    "displayName": "[TODO: Marketplace Display Name]"
  },
  "plugins": [
    {
      "name": "plugin-name",
      "source": {
        "source": "local",
        "path": "./plugins/plugin-name"
      },
      "policy": {
        "installation": "AVAILABLE",
        "authentication": "ON_INSTALL"
      },
      "category": "Productivity"
    }
  ]
}

Required behavior

  • Outer folder name and plugin.json "name" are always the same normalized plugin name.
  • Do not remove required structure; keep .codex-plugin/plugin.json present.
  • Keep manifest values as placeholders until a human or follow-up step explicitly fills them.
  • If creating files inside an existing plugin path, use --force only when overwrite is intentional.
  • Preserve any existing marketplace interface.displayName.
  • When generating marketplace entries, always write policy.installation, policy.authentication, and category even if their values are defaults.
  • Add policy.products only when the user explicitly asks for that override.
  • Keep marketplace source.path relative to repo root as ./plugins/<plugin-name>.

Reference to exact spec sample

For the exact canonical sample JSON for both plugin manifests and marketplace entries, use:

  • references/plugin-json-spec.md

Validation

After editing SKILL.md, run:

python3 <path-to-skill-creator>/scripts/quick_validate.py .agents/skills/plugin-creator
how to use plugin-creator

How to use plugin-creator on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add plugin-creator
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/openai/skills/blob/main/skills --skill plugin-creator

The skills CLI fetches plugin-creator from GitHub repository OWNER/REPO and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/plugin-creator

Reload or restart Cursor to activate plugin-creator. Access the skill through slash commands (e.g., /plugin-creator) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.751 reviews
  • Dhruvi Jain· Dec 24, 2024

    Keeps context tight: plugin-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • William Mehta· Dec 24, 2024

    Solid pick for teams standardizing on skills: plugin-creator is focused, and the summary matches what you get after install.

  • Aarav Diallo· Dec 16, 2024

    plugin-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • William Malhotra· Dec 12, 2024

    plugin-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Nov 15, 2024

    Registry listing for plugin-creator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Wang· Nov 15, 2024

    We added plugin-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Daniel Iyer· Nov 11, 2024

    I recommend plugin-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Naina Jain· Nov 7, 2024

    plugin-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ren Tandon· Nov 3, 2024

    plugin-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Martinez· Oct 26, 2024

    We added plugin-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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