Results for “encoding”

17 skills
More results
q2805187159
godmode
Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.
3 · bundle
neuralblitz
embeddings
Explains dense vector embeddings, their key concepts, common use cases, and best practices for semantic search and RAG applications.
1
jrennie99-glitch
agent-pseudocode
Agent skill for pseudocode - invoke with $agent-pseudocode
0
lord1egypt
manim-video
Creates 3Blue1Brown-style animated explainer videos, algorithm visualizations, and math animations using Manim Community Edition.
2 · bundle
jiachen-t-wang
donut-document-understanding-transformer-without-ocr-arxiv-2
Donut: Document Understanding Transformer without OCR
6
aniruddhaadak80
manim-video
Manim CE animations: 3Blue1Brown math/algo videos.
0 · bundle
nvidia
tao-finetune-cosmos-embed
Fine-tune, evaluate, run inference, and export Cosmos-Embed1 video-text embedding models for tasks like text-to-video retrieval and semantic deduplication.
2.2k · bundle
trailofbits
crypto-protocol-diagram
Extracts protocol message flow from source code, RFCs, academic papers, pseudocode, or formal models (ProVerif/Tamarin) and generates Mermaid sequence diagrams with cryptographic annotations.
6k · bundle
jiachen-t-wang
kinetics-400-a-large-video-understanding-dataset-arxiv-1705-
Kinetics-400: A Large Video Understanding Dataset
6
ichichuang
godmode
Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.
0 · bundle
tianhao909
long-context
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
1 · bundle
qcmuu
long-context
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
0 · bundle
curiositech
skill-architect
Design, create, audit, and improve Claude Agent Skills with expert-level progressive disclosure. Use when building new skills, reviewing existing skills, debugging activation failures, encoding domain expertise, designing skills for subagent consumption, or understanding platform constraints and distribution surfaces. NOT for general Claude Code features, runtime debugging, non-skill coding, or MCP server implementation.
10 · bundle