Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.
- Build streaming text generation
- Process long documents in chunks
- Compare memory needs with Transformers
davila7/claude-code-templates☆ 32.8KUpdated Oct 20, 2026
Guides you through setting up RWKV, generating text, processing long documents in chunks, and fine-tuning models. Explains how to carry context between steps and compare memory use with Transformer models.
- Build streaming text generation
- Process long documents in chunks
- Plan RWKV fine-tuning
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Explore how coordinating agents can pass relevant working state to workers through KV cache, a model's internal attention memory. Covers task-specific selection, runtime requirements, and comparisons of accuracy, token use, and processing overhead.
- Reducing repeated history sent to worker agents
- Comparing internal memory sharing with text summaries
- Assessing runtime support for KV cache compaction
muratcankoylan/Agent-Skills-for-Context-Engineering☆ 18.2KUpdated Oct 12, 2026
Configure how Dynamo routes requests to workers, then check model discovery and a chat response. Supports local and Kubernetes setups, including routing based on cached model data, with clear commands, results, and limitations.
- Start a local Dynamo frontend
- Change routing settings on Kubernetes
- Check model discovery and a chat response
openai/plugins☆ 7.5KUpdated Oct 8, 2026
Estimate inference memory for models on Hugging Face Hub without downloading their weights. Check GPU capacity for Safetensors or GGUF files, with optional estimates for the KV cache, memory used to retain attention data during generation.
- Check whether a model fits on a GPU
- Compare memory estimates for GGUF quantizations
- Estimate KV cache memory for a chosen context length
huggingface/skills☆ 11.2KUpdated Oct 9, 2026
Develop and deploy Cloudflare Workers, manage related storage and services, and troubleshoot configuration with Wrangler. The skill checks official documentation and configuration definitions before preparing commands, with guidance for local development, environments, secrets, and logs.
- Develop and deploy a Cloudflare Worker
- Configure KV, R2, and D1 resources
- Separate staging and production settings
openai/plugins☆ 7.5KUpdated Oct 8, 2026
Investigate slow response starts and low cache reuse in agent applications. The skill explains how to keep instructions and tool definitions stable, append changing information, and preserve message formats so earlier processing can be reused across requests.
- Investigating slow response starts and low cache hit rates
- Deciding where to place timestamps and changing user data
- Reviewing tool order and session restoration
bojieli/ai-agent-book☆ 55KUpdated Oct 9, 2026
Calculate how to divide serving memory between recurrent state and KV cache, two memory pools used by hybrid models. Use startup logs and workload settings to recommend a ratio, estimate concurrency, and identify the limiting pool.
- Choosing a memory ratio for a hybrid model
- Investigating limits on concurrent requests
- Recalculating memory allocation for context length
sgl-project/sglang☆ 37.4KUpdated Oct 20, 2026
Build Splunk pipelines that import threat intelligence and match security events against indicators such as malicious IP addresses, domains, and file hashes. Add source, confidence, and severity details so analysts have context when investigating matches.
- Importing external threat feeds into Splunk
- Matching network and endpoint logs against threat indicators
- Adding threat and asset context to alerts
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Use when working with Consul Kv — consul KV store management, key namespace analysis, session/lock inspection, and watch configuration. Covers KV tree structure, key count by prefix, session health, prepared queries, and transaction support diagnostics. Read this skill before any Consul KV operations.
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cloudthinker-ai/CloudSkills☆ 6Updated Apr 5, 2026
Agent fallback for CCSPlayer_MovementServices_CheckVelocity (auto-generated, category: func). Locate CCSPlayer_MovementServices::CheckVelocity in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSPlayer_MovementServices_CheckVelocity, CCSPlayer_MovementServices::CheckVelocity
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mrc4tt/CS2_VibeSignatures☆ 3Updated Oct 15, 2026
OneClickVirt operations skill for managing containers, virtual machines, provider nodes, health checks, and metrics through MCP.
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oneclickvirt/oneclickvirt☆ 377Updated Oct 19, 2026
Implements compliance with Turkey's Personal Data Protection Law (Kisisel Verilerin Korunmasi Kanunu, KVKK, Law No. 6698). Covers data controller obligations, data subject rights, VERBIS registration, cross-border transfer restrictions, Board decisions, and administrative fines. Keywords: KVKK, Turkey, VERBIS, data controller registry, Board decision, cross-border.
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mukul975/Privacy-Data-Protection-Skills☆ 313Updated Mar 17, 2026
Fix intermittent 500 errors with "Failed to store" in Fastly KV Store during concurrent writes. Use when: (1) Batch operations fail with ~10-20% error rate, (2) Error contains "Failed to store list" or similar KV write failures, (3) Multiple requests updating the same KV key simultaneously, (4) Read-modify-write pattern without locking. The fix is adding a retry loop that re-reads before each write attempt.
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divinevideo/divine-mobile☆ 266Updated Oct 20, 2026
Híbrido RNN+Transformer com inferência O(n). Tempo linear, contexto infinito, sem cache KV. Treina como GPT (paralelo), infere como RNN (sequencial). Projeto Linux Foundation AI. Produção em Windows, Office, NeMo. RWKV-7 (março de 2025). Modelos até 14B parâmetros.
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artubss/SKILLS-CLAUDE-CODE☆ 11Updated May 17, 2026
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
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huang-sh/DeepScience☆ 4Updated Jul 15, 2026
Download individual YouTube videos with a chosen quality, file format, and destination folder. Save video as MP4, WebM, or MKV, or download only the audio as MP3 using the included Python script.
- Saving a video at a chosen resolution
- Downloading only the audio as MP3
- Choosing a video format and destination folder
ComposioHQ/awesome-claude-skills☆ 77.5KUpdated Sep 18, 2026
Download individual YouTube videos with a chosen quality, file format, and destination folder. Save video as MP4, WebM, or MKV, or download only the audio as MP3 using the included Python script.
- Saving a video at a chosen resolution
- Downloading only the audio as MP3
- Choosing a video format and destination folder
composio-community/awesome-codex-skills☆ 17KUpdated Jul 26, 2026
Build, test, and format CubeSandbox components using make targets and a Docker builder. Also covers the web dashboard’s development workflow, API type synchronization, and troubleshooting for missing services, outdated build tools, and environment requirements.
- Build all components or a specific CubeSandbox component
- Run component tests or a single targeted test
- Format Go and Rust code and lint the web interface
TencentCloud/CubeSandbox☆ 13KUpdated Oct 19, 2026
Estimate how model architecture, precision, and context length affect weight storage, generation state, computation, and memory traffic. Compare models and attention designs with separate resource estimates for input processing and token generation.
- Compare memory needs across model architectures
- Estimate resource costs of longer contexts
- Compare attention designs and expert-based models
bojieli/ai-infra-book☆ 6.7KUpdated Oct 1, 2026
Compare batching, request scheduling, and memory management for a single model serving instance. Assess concurrent request capacity, response times, generation speed, and GPU time per result that meets the required quality and deadline.
- Comparing batching and request scheduling options
- Checking memory capacity for concurrent requests
- Assessing cache reuse and offloading tradeoffs
bojieli/ai-infra-book☆ 6.7KUpdated Oct 1, 2026
Für AGB im Bankvertrag Sparkassen und Banken: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: bankvertrag-sparkassen-bauvertrag-vob.
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Klotzkette/claude-fuer-deutsches-recht☆ 1.7KUpdated Oct 18, 2026
Für AGB im Bankvertrag Sparkassen und Banken: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: agb-im-bankvertrag-sparkassen-und-banken.
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Klotzkette/claude-fuer-deutsches-recht☆ 1.7KUpdated Oct 18, 2026
Migrate Terraform provider resources and data sources from Plugin SDKv2 to the Plugin Framework: muxing both plugins in one provider (terraform-plugin-mux, tf5to6server), per-resource migration workflow, SDKv2-to-Framework schema mapping (ForceNew, ValidateFunc, DiffSuppressFunc, Default, Timeouts, blocks), null-vs-zero-value behavioral traps, and state-compatibility verification. Use when converting or translating SDKv2 resources to the Framework, setting up a muxed provider server, deciding whether a resource should be migrated at all, or debugging plan diffs and state errors that appeared after a migration.
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hashicorp/agent-skills☆ 901Updated Oct 5, 2026