ai-pop
v1.0.0by ghchinoy
ai-pop is an Agent Plugin published by ghchinoy. It packages 6 skills. We fetched the plugin.json from GitHub on 2026-11-07 and checked it against the official Agent Plugins 1.0.0 schema.
Virtual music artist production suite: lore planning, audio synthesis, visual design, web player compilation, and public endpoint deployment.
- Skills
- 6
- MCP servers
- 0
- Stars
- 1
- License
- Apache-2.0
- Repo created
- 2026-04-17
- Last pushed
- 2026-11-06
- Publisher type
- User
- Version
- 1.0.0
Links
Skills · 6
- ai-pop-audio-synthesizer
- Sub-skill for composing high-fidelity music tracks via Google DeepMind Lyria and verifying container formats.
- ai-pop-compiler
- Sub-skill for validating the artist.json metadata contract, copying files, compiling typescript/Vite templates, and verifying static client builds.
- ai-pop-concept-planner
- Sub-skill for drafting virtual artist backstories, mini-albums, theme-based color palettes, track metadata, and lyrics.
- ai-pop-producer
- Primary orchestrator skill for creating concept-driven AI Pop Artists. Use when a user asks to generate a new artist profile, album narrative, audio-visual assets, local web-player dashboard, and hosted live endpoint.
- ai-pop-publisher
- Sub-skill for publishing compiled AI Pop web player assets (web/dist) to a public hosting endpoint (Firebase Hosting or GCS static website bucket) and verifying liveness.
- ai-pop-visual-designer
- Sub-skill for generating cohesive album cover art and track illustrations using NanoBanana.
Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.
Category
Creative & Media. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
Keywords
music · virtual-artist · lyria · nanobanana · vite · lit
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CLI and agent skills for the A2A protocol: drive a2acli to discover/invoke/monitor A2A agents, and build/audit A2A-compliant services.
Author metric-template packs for Mizan from an agent: scaffold a pack, create boul/choice/score/rubric/pointwise/pairwise/custom_schema/heuristic templates via the mizan CLI, validate the pack creds-free (the CI PR gate), and run the export->PR->import collaborator loop; and generate a rubric from a brand book (suggest-first, agent-side synthesis) then freeze it into the registry. Use when you need to author, package, validate, or share a Mizan metric template or template pack, or to generate evaluation rubrics from a brand book or guidance document.
Run Mizan evaluations from an agent: score a single response or compare two responses against a metric template via the mizan CLI, reasoning over the -o json result. Use when you need to evaluate an asset/response against guidance and explain the verdict.
Expose the Mizan eval engine to agents and MCP clients as callable tools via the `mizan mcp` server. Registers a local stdio MCP server (`mizan mcp stdio`) advertising four tools, mizan_list_metrics, mizan_get_metric (read-only), mizan_eval_run, and mizan_eval_pairwise, plus an agent-in-the-loop eval skill. Use when an agent should discover a judge and run an evaluation over MCP rather than shelling out to the CLI.
[](https://agentpluginsdirectory.com/plugins/ai-pop)✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.