What is emotion-to-notes?

A music-making guide that turns a described feeling into choices such as scale, tempo, melody, dynamics, and rhythm, then writes those choices into Ableton Live.

It helps create or adjust notes and rhythms in an Ableton Live set based on a mood or emotional progression.

It removes the need to translate words like “sad” or “energetic” into music settings by hand.

How guvense/hellyee configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to guvense/hellyee. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/guvense/hellyee/main/.claude/skills/emotion-to-notes/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/guvense/hellyee

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/guvense/hellyee/emotion-to-notes/github.svg)](https://agentmods.dev/skills/guvense/hellyee/emotion-to-notes)

Your own site

<a href="https://agentmods.dev/skills/guvense/hellyee/emotion-to-notes"><img src="https://agentmods.dev/badge/skills/guvense/hellyee/emotion-to-notes/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/guvense/hellyee/emotion-to-notes"><img src="https://agentmods.dev/badge/skills/guvense/hellyee/emotion-to-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,921 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00160	$0.01921
Opus 5.5	$0.00064	$0.00768
Sonnet 5.5	$0.00032	$0.00384
Haiku 4.5	$0.00016	$0.00192

Measured 2mo ago against content hash 909df8788550, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

emotion-to-notes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/emotion-to-notes/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Emotion to Notes

Converts a stated emotion into musical decisions, then calls hellyee's existing theory and note tools (get_scale_notes, get_chord_notes, snap_notes_to_scale, get_drum_map, add_notes / replace_clip_notes, quantize_clip) to write it into the Live set. This skill is a decision layer — it does not replace any tool, it decides what to call and with what parameters.

Step 1 — Map the emotion to Valence/Arousal

Every emotional description reduces to two axes before anything musical happens:

Valence: positive ↔ negative (pleasant vs. unpleasant)
Arousal: high energy ↔ low energy (activated vs. calm)

If the user's word isn't in the table below, place it on these two axes yourself using ordinary judgment, then find the nearest row.

Emotion (TR / EN)	Valence	Arousal	Mode / Scale	Tempo (BPM)	Contour	Velocity / Dynamics	Rhythmic density
Hüzün / Melancholy	low	low	Aeolian, Dorian	60–85	descending, wide leaps down	soft, narrow range (40–70)	sparse, long note values
Öfke / Anger	low	high	Phrygian, Locrian, harmonic min	130–155	jagged, repeated short motifs	loud, hard-edged (100–127)	dense, off-grid accents
Huzur / Calm, Peace	high	low	Ionian (major), Lydian	65–90	stepwise, gentle arcs	soft-medium, even (50–80)	sparse, legato
Coşku / Euphoria, Excitement	high	high	Mixolydian, major pentatonic	122–145	ascending leaps, wide range	loud, punchy (95–120)	dense, syncopated
Gerilim / Tension, Suspense	low	mid	Locrian, whole-tone, tritone-heavy	variable, often rubato-feeling	static/hovering, then sudden leap	swelling, crescendo pattern	irregular, unstable
Nostalji / Nostalgia	mid-high	low	Dorian, major with b7 borrowed	70–95	descending then resolving up	medium, breathy (55–75)	moderate, loose swing
Umut / Hope	high	mid	Lydian, major	90–115	ascending, open intervals	building, medium→loud	building density
Yalnızlık / Loneliness	low	low	natural minor, sparse harmony	55–75	isolated single-note lines	very soft, wide dynamic gaps	very sparse
Kaos / Chaos	low	high	atonal clusters, chromatic	fast, unstable	erratic, no clear direction	extreme range, sudden spikes	dense, polyrhythmic
Zafer / Triumph	high	high	major, mixolydian, fanfare-like	100–130	strong upward leaps, arrival on tonic	loud, confident (100–127)	strong downbeats

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 110 lines · 160 tokens per session scan A 909df8788550

Subscribe to this mod's changes

emotion-to-notes is a skill published in the GitHub repository guvense/hellyee (9 stars, last pushed 2mo ago), licensed MIT. It adds 160 tokens to every session and 1,921 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Creative and media ableton ableton-live-pc ai claude mcp mcp-server

emotion-to-notes next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
emotion-to-notesguvense/hellyee	Skill	9	2mo ago	MIT	A	160	Claude Code
mastering-chainrohailaltaf/claude-ableton	Skill	6	4mo ago	MIT	A	76	Claude Code
opik-diagnosecomet-ml/opik-mcp	Skill	225	9d ago	Apache-2.0	A	187	Claude Code
ue-mcp-epic-routingdb-lyon/ue-mcp	Skill	476	yesterday	MIT	A	81	Claude Code, Codex
qa-knowledgegriddynamics/rosetta	Skill	370	yesterday	Apache-2.0	A	32	Claude Code, Codex
apitapn1byn1kt/apitap	Skill	131	17d ago	Apache-2.0	A	0	Claude Code, Codex
frontmcp-setupagentfront/frontmcp	Skill	148	yesterday	Apache-2.0	A	176	Claude Code, Codex

hellyee: Skill for Claude Code