Favicon of PMDA

PMDA Skill

AI Agent SkillCode & Developer ToolsPythonOpen source

PMDA is a Python AI agent skill for Cursor, Codex with docker. PMDA (pronounced pimda) is a self-hosted music library app for matching, cleanup, playback, discovery, trusted imports, exports, and optional dedupe at scale.

How to use PMDA Skill

Install or run

docker run -d \

Client configuration

{
  "name": "PMDA",
  "short_name": "PMDA",
  "description": "Analyze, organize, and deduplicate your music library with AI-assisted metadata checks",
  "id": "/library",
  "start_url": "/library",
  "scope": "/",
  "display": "standalone",
  "display_override": ["window-controls-overlay", "standalone", "minimal-ui", "browser"],
  "orientation": "any",
  "theme_color": "#14b8a6",
  "background_color": "#0b1220",
  "icons": [
    {
      "src": "/favicon.ico",
      "sizes": "16x16 32x32 48x48 64x64 128x128",
      "type": "image/x-icon",
      "purpose": "any"
    },
    {
      "src": "/icon-192.png",
      "sizes": "192x192",
      "type": "image/png",
      "purpose": "any maskable"
    },
    {
      "src": "/icon-512.png",
      "sizes": "512x512",
      "type": "image/png",
      "purpose": "any maskable"
    }
  ]
}

Compatible clients

CursorCodex

What is PMDA Skill?

PMDA is a Python AI agent skill for Cursor, Codex with docker. PMDA (pronounced pimda) is a self-hosted music library app for matching, cleanup, playback, discovery, trusted imports, exports, and optional dedupe at scale. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
65/100
Maintenance signal
95/100
Adoption signal
46/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Reusable instructions support
  • Includes SKILL.md support
  • Shell commands support
  • Browser use support
  • Document generation support
  • OpenAI provider support
  • Anthropic provider support

Technical details

Install or run PMDA using docker. Check silkyclouds/PMDA for the latest setup command.

dockerCursorCodexstdioSSE
  • Built for Python
  • Built for Node.js
  • Built for Docker
  • Built for Rust
  • Install or run with docker
  • Works with Cursor
  • Works with Codex
  • Uses stdio transport

Requirements and access

PythonNode.jsDockerRustAPI key requiredAPI key requiredOAuthLocal filesDatabase accessNetwork access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

Destructive actionsWrite actionsRead-only modeFilesystem accessDatabase accessNetwork accessCredentials requiredCan write or update dataMay support destructive actionsAPI key required authenticationHosted or remote

When to use PMDA Skill

  • Use it for reusing agent instructions, scripts, and references.
  • Use it for agent skills workflows.
  • Use it for coding workflows.
  • Use it for data workflows.
  • Use it for cursor users.

Built with

PythonNode.jsDockerRustdockerCursorCodexstdioSSE

Explore related resources

Frequently asked questions

What is PMDA?

PMDA is a Python AI agent skill for Cursor, Codex with docker. PMDA (pronounced pimda) is a self-hosted music library app for matching, cleanup, playback, discovery, trusted imports, exports, and optional dedupe at scale.

Who is PMDA best for?

PMDA is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, cursor users.

How do I install PMDA?

Install or run PMDA using docker. Check PMDA for the latest setup command.

Is PMDA actively maintained?

PMDA may need a closer maintenance check before production use.

Share:

Stars
70
Forks
3
Last commit
2 months ago
Repository age
1 year
License
Unknown

Auto-fetched from GitHub.

Similar to PMDA