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apply-podcast-preset

Apply a recommended parametric-EQ DSP preset tuned for spoken-word / podcast listening to a Music Assistant player.

Skill by danielrosehill

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/danielrosehill-apply-podcast-preset

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About

Apply a recommended parametric-EQ DSP preset tuned for spoken-word / podcast listening to a Music Assistant player. Tames sub-bass rumble, lifts vocal presence (1–4 kHz), and softens sibilance (~6–8 kHz). Use when the user wants a one-shot "make this speaker good for podcasts" action — typically a kitchen, bathroom, or office speaker — without hand-rolling EQ bands.

Use cases: documents

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/apply-podcast-preset

What's inside

Skill name
apply-podcast-preset
Description
Apply a recommended parametric-EQ DSP preset tuned for spoken-word / podcast listening to a Music Assistant player. Tames sub-bass rumble, lifts vocal presence (1–4 kHz), and softens sibilance (~6–8 kHz). Use when the user wants a one-shot "make this speaker good for podcasts" action — typically a kitchen, bathroom, or office speaker — without hand-rolling EQ bands.
License
MIT
Instructions
89 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Apply Podcast DSP Preset

Push a curated parametric-EQ preset to a Music Assistant player, optimised for podcasts and audiobook content.

## The preset

Six peaking/shelf bands plus a small preamp trim. Tuned for full-range speakers; a separate variant is provided for small/desktop speakers.

### Variant: `podcast-default`

| # | Type | Freq (Hz) | Gain (dB) | Q | Purpose |
|---|---|---|---|---|---|
| 1 | high_pass | 70 | — | 0.7 | Roll off sub-bass rumble / room noise |
| 2 | peaking | 200 | -3.0 | 1.0 | Cut "muddy" lower-mids |
| 3 | peaking | 500 | -1.5 | 1.2 | Reduce boxy midrange |
| 4 | peaking | 2500 | +3.0 | 1.0 | Lift vocal intelligibility |
| 5 | peaking | 4000 | +2.0 | 1.4 | Add presence / clarity |
| 6 | peaking | 7000 | -2.5 | 3.0 | Tame sibilance / harshness |

Preamp: `-2.0 dB` (compensate for the +3 dB peaks so output stays clean).

### Variant: `podcast-small-speaker`

For desktop / smart-speaker grade hardware that lacks low-end. Drops the high-pass and the 200 Hz cut (already missing on the speaker).

| # | Type | Freq (Hz) | Gain (dB) | Q |
|---|---|---|---|---|
| 1 | peaking | 2500 | +3.5 | 1.0 |
| 2 | peaking | 4000 | +2.5 | 1.4 |
| 3 | peaking | 7000 | -2.0 | 3.0 |

Preamp: `-2.0 dB`.

## Steps

1. Load config per the `reference` skill. Resolve the target player (by name or ID).

2. Ask which variant to apply if the user didn't specify. Default to `podcast-default`.

3. Stash the player's current DSP first (so the user can revert):

   ```bash
   $DATA_ROOT/state/last-dsp-<player-slug>.json
   ```

   Use the `config/players/get` command (or the matching REST endpoint) to fetch the current `player_config`, extract its `dsp` block, and save the whole player_config payload alongside.

4. Build the DSP payload. Authoritative shape (per Music Assistant docs — see `reference` skill):

   ```json
   {
     "enabled": true,
     "preamp_gain_db": -2.0,
     "per_channel": false,
     "bands": [
       {"type": "high_pass", "frequency": 70, "q": 0.7, "enabled": true},
       {"type": "peaking",   "frequency": 200,  "gain_db": -3.0, "q": 1.0, "enabled": true},
       {"type": "peaking",   "frequency": 500,  "gain_db": -1.5, "q": 1.2, "enabled": true},
       {"type": "peaking",   "frequency": 2500, "gain_db":  3.0, "q": 1.0, "enabled": true},
       {"type": "peaking",   "frequency": 4000, "gain_db":  2.0, "q": 1.4, "enabled": true},
       {"type": "peaking",   "frequency": 7000, "gain_db": -2.5, "q": 3.0, "enabled": true}
     ]
   }
   ```

   Supported filter `type` values (verbatim from MA docs): `peaking` (a.k.a. Peak/Bell), `high_shelf`, `low_shelf`, `high_pass`, `low_pass`, `notch`, `all_pass`. **Not** supported: Modal, BP, LSC x dB, HS x dB, AP, LS with dB slope, HS with dB slope.

5. Apply via the `config/players/save` command (WebSocket) or the equivalent `PUT /api/config/players/<player_id>` endpoint, merging the new `dsp` block into the existing `player_config`.

6. Verify by re-fetching the player_config and confirming the DSP block matches what was sent. Print a one-line confirmation: `living-room: applied podcast-default (6 bands, preamp -2 dB)`.

7. Tell the user how to revert: `Run /media-assistant-ops:update-dsp-settings and choose "revert last change" — or restore from $DATA_ROOT/state/last-dsp-<player-slug>.json.`

8. Offer to also save this as a named DSP preset for the player (delegate to `save-dsp-settings`) so it shows up in their preset library.

## Adapting for other content

If the user asks for variations:

- **More bass for a TV speaker doing podcasts**: drop the high_pass to 50 Hz, add a `low_shelf` at 120 Hz +2 dB.
- **Harsh-sounding speaker (cheap tweeter)**: deepen band 6 to -4 dB and add a `peaking` at 9 kHz, -2 dB, Q 2.0.
- **Mono in-ceiling speaker**: keep `per_channel: false`. For stereo desk monitors, set `per_channel: true` and apply identical bands to both channels by default.

## Do not

- Do not push gains above +6 dB on any band — combined with program material it will clip.
- Do not assume the player supports DSP. Music Assistant DSP only applies to *Music Assistant–native* player flows (snapcast / built-in player). Hardware players that handle their own decoding (e.g. some Sonos modes) bypass MA's DSP. If the player_config lacks a `dsp` key, tell the user this player doesn't support MA-side DSP and suggest applying EQ at the device.

From danielrosehill/Claude-Media-Assistant-Ops-Plugin, MIT.

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Last commit (this folder)
Apr 21, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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apply-podcast-preset skill. Agent Mart. https://agentmart.dev/skills/danielrosehill-apply-podcast-preset (last updated 2026-10-24)