Knowledge patches and plugins for Claude covering recent language and framework updates. Fills training data gaps.
200 skills
Go implementation of Recursive Language Models for inference-time scaling, enabling arbitrarily long context processing in language models.
Plugin xiaoconstantine-rlm-go from marketplace cascade-ai-ml-engineering in joshuarweaver/cascade-ai-ml-engineering. Commands read from the repo's manifest — 1 month ago.
rlmRecursive Language Model for processing large contexts (>50KB). Use for complex analysis tasks where token efficiency matters. Achieves 40% token savings by letting the LLM programmatically explore context via Query() and FINAL() patterns.
Knowledge patches and plugins for Claude covering recent language and framework updates. Fills training data gaps.
200 skills
Guidance on building Retrieval-Augmented Generation systems that combine large language models with document retrieval. Enables AI agents to reference external knowledge bases and provide grounded responses.
184 skills
Token efficiency optimization techniques and utilities for Claude. Helps reduce token consumption in AI workflows.
33 skills · 76 commands
Mental health and wellness analysis tool that identifies psychological patterns, assesses health status, and provides personalized recommendations integrated with sleep, exercise, and nutrition data.
19 skills · 59 commands
PUA is a framework for building and managing AI agent prompts and behaviors. Supports multilingual prompt engineering and agent configuration.
29 skills · 22 commands · 7 agents · hooks
Integrates Gemini image processing with Claude for visual analysis and generation tasks. Enables multimodal image workflows.
50 skills · 6 commands
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom, and analyze GPU kernel and PyTorch trace performance.
21 skills
Answer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
1 skill · 2 commands · 1 agent · hooks
Language-specific expert agents with deep framework knowledge - Python, TypeScript, Go, Rust, Java, and more
Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.
98 skills
Write, run, and debug Ginkgo/Gomega test suites in Go: the tree-construction mental model, the full node and decorator surface, tables and generated specs, parallelism, filtering, timeouts and async, CI configuration, and JSON-first failure diagnosis.
13 skills
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