Plugins
12 plugins@projectious-work
Context
Context from projectious-work/aibox.
79 skills · plugin
@muratcankoylan
Agent Skills For Context Engineering
Agent Skills For Context Engineering from muratcankoylan/Agent-Skills-for-Context-Engineering.
16 skills · plugin
@fradser
Code Context
Retrieve code context for any repo, library, or natural-language query via DeepWiki, Context7, Exa, git clone, and web search+fetch
2 skills · plugin
@micsapp
Plugin
Persistent memory system for Claude Code - seamlessly preserve context across sessions
5 skills · plugin
@mrshininnnnn
SuperCtx
All the context, in one place for Claude Code, Codex, Gemini, and AI coding tools.
3 skills · plugin
curated
Create Architectural Decision Record
Document architectural decisions with context, consequences, and alternatives in a standardized ADR format.
10 skills · plugin
curated
Create AGENTS.md
Generate a comprehensive AGENTS.md file for AI coding agents with project context and setup commands.
10 skills · plugin
@cjthompson
Python Scripting
Low-context guidance for safe one-off Python helpers, typed scripts, lightweight quality checks, and zero-dependency macOS utilities.
4 skills · plugin
curated
Coauthor Technical Document
Install this pack to collaboratively write a technical spec or RFC with context gathering, iterative refinement, and reader testing.
3 skills · plugin
curated
Publish Interactive Plotly Dashboard
For analysts who need to turn tabular data into an interactive Plotly dashboard with statistical context and safe execution.
3 skills · plugin
@fradser
Pi
Bridges to pi (dev/pi), a minimal terminal coding harness. Delegates coding tasks to the pi CLI for execution with full file and git context.
3 skills · plugin
@pwdev-solucoes
Pwdev Copy
Framework de copy genérico e treinável v1.1 — um arquivo de contexto define marca, ICP e voz, e 20 skills cobrem o ciclo completo: pesquisa VOC, brand voice, criação (landing, social, ganchos, reaproveitamento), revisão em 7 sweeps com anti-slop, e camada de análise que fecha o loop; 5 subagentes reais
20 skills · plugin
Results for “context”
10 skillsNemo Mbridge Perf Moe Long Context
Provides guidance for training Mixture-of-Experts models with long context windows, covering context parallelism sizing, selective recomputation, dispatcher choices, and practical patterns from recent experiments.
2.2k · bundle
Nemo Mbridge Perf Sequence Packing
Validate and configure packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs with correct context parallelism constraints.
2.2k · bundle
Long Context
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques for processing long documents and implementing efficient positional encodings.
10.4k · bundle
Rwkv Architecture
Use RWKV, a linear-time RNN-Transformer hybrid, for efficient long-context inference and training with constant memory usage.
10.4k · bundle
More results
L Eval
Benchmarks long-context language models across 20 sub-tasks spanning 3k–200k tokens, covering retrieval, reasoning, summarization, and instruction understanding, with exact-match accuracy as the primary metric.
3
Bbh Eval
Benchmarks zero-shot in-context learning on BIG-Bench Hard multiple-choice tasks, comparing self-generated demonstrations against direct prompting and chain-of-thought baselines, and reports accuracy.
3
Mamba Architecture
Train and run Mamba state-space models with O(n) complexity, achieving faster inference and longer context than Transformers.
10.4k · bundle
Bbq Eval
Evaluates social bias in question-answering models using the BBQ benchmark, measuring accuracy and a bias score across ambiguous and disambiguated contexts to reveal reliance on stereotypes.
3
Bss Eval
Evaluates speech language models on beyond-semantic speech attributes such as dialect comprehension, multi-turn context memory, emotion perception, age-aware response generation, and non-verbal cue handling, reporting accuracy and judge-based scores.
3
Apessrc
Evaluates the faithfulness of abstractive summaries by verifying if factual claims (masked as cloze questions) in the reference summary can be correctly answered using only the generated summary, compared against a gold-standard answer derived from the source context.
3