Results for “tenor”

Search/download GIFs from Tenor via curl + jq.

Search/download GIFs from Tenor via curl + jq.

Teaches music theory concepts with interactive exercises, ear training, and composition analysis

Search/download GIFs from Tenor via curl + jq.

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

Transforms content into the cinematic, vernacular voice of Tom Waits, grounding abstractions in concrete imagery and finding dignity in the downtrodden.

Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode. Companion to `taste-skill`'s library table, which recommends Sonner for toasts. Source: github.com/emilkowalski/skills.

Train, evaluate, export, prune, and run inference for PointPillars 3D object detection models from LiDAR point clouds using NVIDIA TAO.

Train, evaluate, export, and run inference for monocular depth estimation models using Metric Depth Anything v2 or Relative Depth Anything architectures via the TAO toolkit.

Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.

Train or fine-tune sentence-transformers models for retrieval, similarity, clustering, classification, and reranking, with support for bi-encoders, cross-encoders, and sparse encoders.

Coordinates end-to-end replication workflows for AEM 6.5 LTS, including environment setup, production incident response, and performance optimization.

Instaura/atua em IRDR — Incidente de Resolucao de Demandas Repetitivas (CPC 976, requisitos simultaneos: I efetiva repeticao sobre questao unicamente de direito + II risco a isonomia/seguranca; legitimados 977; admissibilidade 981; suspensao no Estado/regiao 982 I; tese aplicada a todos e aos casos futuros 985; revisao 986; REsp/RE 987) ou IAC — Incidente de Assuncao de Competencia (CPC 947, questao relevante de grande repercussao social SEM repeticao; acordao vinculante §3), com efeito vinculante da tese (CPC 927 III). Use quando o operador disser IRDR, incidente de resolucao de demandas repetitivas, IAC, assuncao de competencia, tese vinculante regional, muitos processos iguais, suspensao por IRDR.

Redige agravo de instrumento do CPC 1.015-1.020 contra decisao interlocutoria — rol do 1.015 (I a XI e XIII; o XII foi vetado) + taxatividade mitigada (Tema 988/STJ), pecas obrigatorias do 1.017, comunicacao ao juizo de 1a (1.018), efeito suspensivo / antecipacao da tutela recursal (1.019 I), prazo 15 dias uteis. Use quando o operador disser agravo de instrumento, agravar a interlocutoria, recorrer da liminar, decisao interlocutoria, efeito suspensivo no agravo, Tema 988.

Game audio generation agent. Produces code (Python/JS/TS/Shell) for SFX, BGM, Voice, Ambient, and UI sounds using ElevenLabs/Stable Audio/MusicGen/Suno/OpenAI TTS/JSFXR. Handles LUFS normalization and middleware integration.

楽曲（YouTube/MP3）を音源から定量分析し、BPM/キー/コード進行/メロディ輪郭/音域/phrase_repetitionを抽出してfeatures.json＋五線譜PNG/PDF＋report.mdを出力するスキル。reverse-engineer-song（Gemini定性）とは完全独立・数値定量分析専用。ユーザーが「楽曲分析して」「曲を定量分析」「この曲のBPM/コード抽出」「名曲っぽさ分析」「analyze-song」と言った時、または /analyze-song を呼んだ時にトリガー。

崔健（摇滚）认知与表达框架（压缩蒸馏）：地下与现场感、隐喻与直白并置… 触发：一块红布 等。非煽动违法

Traces host-to-host pivot chains in Windows CTF challenges by recovering Kerberos tickets, credential material, and privilege edges across WinRM, SMB, and RDP.

三国志武将のHIPHOP楽曲を、武将選択から曲+歌詞+画像+動画まで質問ドリブンで制作するウィザード。ユーザーが「三国志」「sangoku」等と言った時、または /sangoku-song を呼んだ時にトリガー。

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency on NVIDIA GPUs (A100/H100).

Tend the Allium garden. Use when the user wants to write, edit, update, add to, improve, clarify, refine, restructure, fix or migrate Allium specs. Covers adding entities, rules, triggers, surfaces and contracts, fixing syntax or validation errors, renaming or refactoring within specs, migrating specs to a new language version, and translating requirements into well-formed specifications. Pushes back on vague requirements.

Generate music and songs using ElevenLabs, Diffrythm, and Tencent Song Generation models via the inference.sh CLI.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

Creates a presenter-mode deck with speaker notes, theme switching, and a popup teleprompter.

Evaluates the correlation between automatic text generation scores and human quality ratings, including robustness to domain and quality drift, using metrics like Kendall's Tau and Pearson correlation.

Audit team performance using the Elon Algorithm (identify A/B/C players) and extract action items from meeting transcripts. Use when asked to "audit team performance", "review my team", "extract meeting actions", "meeting notes to tasks", "team efficiency audit", or "identify underperformers".

Prose quality checker for Quarto (.qmd) files, grounded in William Zinsser's *On Writing Well* (30th Anniversary Edition). Checks for clutter, weak verbs, hollow qualifiers, clichés, inflated academic voice, poor leads and endings, pronoun and tense inconsistency, and unclear explanation. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to improve prose quality, tighten writing, reduce clutter, or apply Zinsser's writing principles to a draft. For grammar and punctuation, use the proofread skill. For APSA style rules, use the apsa-style skill. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.

Orchestrates multi-agent workflows defined in YAML piece files, delegating tasks to team members and managing state transitions.

Adopts the voice and methodology of Mark Twain to rewrite content with wit, satire, and plain-spoken wisdom, including techniques for sharpening prose and detecting hypocrisy.

Define el protocolo de mentor senior para LEND.AI: gestiona el perfil del usuario, enseña conceptos con voz rioplatense y actualiza la documentación del proyecto.

Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena

Sid Orchestra — portable multi-agent swarm for any Cursor workspace. Run IDs, lock leases, plan critic, canary harness, PASS/FAIL evals, anti-hallucination. Use when the user says sid orchestra, @sid-orchestra, sid swarm, sid evals, or wants research→plan→build→review with a bus and loop. Available globally from ~/.cursor/skills.