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Claude Skills by yanacuti1121
github.com/yanacuti11211,688 skills63 installs3,750 views
- Khoj Ai KhojKhoj — open-source self-hostable AI second brain: chat với docs + web, semantic search, custom agents, image gen, TTS. Multi-LLM (Claude/GPT/Gemini/Ollama). Browser/Obsidian/Phone.Votes: 0GitHub stars: 3
- Ktlint Auto Formatktlint anti-bikeshedding Kotlin linter. Zero-config formatting, custom rule sets, auto-fix, Git pre-commit integration, and Gradle plugin setup. Sources: pinterest/ktlint (MIT).Votes: 0GitHub stars: 3
- Kubernetes PatternsDesign and debug Kubernetes workloads — Deployment/StatefulSet patterns, resource requests/limits, liveness/readiness/startup probes, HPA/KEDA autoscaling, ConfigMap/Secret injection, PodDisruptionBudget, rolling update strategy, and debugging CrashLoopBackOff. Use when asked about "Kubernetes deployment", "k8s", "pod crashing", "CrashLoopBackOff", "OOMKilled", "resource limits", "liveness probe", "readiness probe", "HPA", "horizontal pod autoscaler", "rolling update", "kubectl debug", "pod n...Votes: 0GitHub stars: 3
- Kv Cache OptimizationKV-cache optimization patterns for LLM inference. Prefix caching, sliding window attention, cache reuse across turns, static cache for fixed prompts, and TTFT reduction strategies. Sources: huggingface/transformers (Apache-2.0).Votes: 0GitHub stars: 3
- L1 PromoteReview L2 session facts and promote valuable ones to L1 Atomic Memory. Use at end of session or when L2 accumulates facts worth keeping permanently. Runs add-fact.sh for each promoted fact.Votes: 0GitHub stars: 3
- Langchain Ai OpenwikiUse when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: \"set up OpenWiki for this repo\", \"keep the docs updated automatically\", \"generate an agent wiki\".Votes: 0GitHub stars: 3
- LangfuseLLM observability with Langfuse — tracing, evals, prompt management, cost trackingVotes: 0GitHub stars: 3
- LanggraphUse when building stateful multi-step agents, agent graphs, or workflows with LLMs. Triggers on: 'langgraph', 'state graph', 'stateful agent', 'agent workflow', 'agent loop', 'multi-step agent', 'persistent agent', 'human-in-the-loop agent', 'agent with memory', 'graph-based agent'.Votes: 0GitHub stars: 3
- Leak CheckScan codebase and git history for leaked secrets — API keys, tokens, passwords, private keys. Uses whispers-style regex patterns + gitleaks. Run as /leak-check before any git push. Alerts on Claude API keys, GitHub tokens, AWS credentials, and generic high-entropy strings.Votes: 0GitHub stars: 3
- Leonxlnx Taste SkillAnti-slop frontend framework cho AI agents — layout, typography, motion, spacing chuẩn thay vì boilerplate UI nhàm. Dùng khi muốn AI build UI có aesthetic thực sự.Votes: 0GitHub stars: 3
- Linkerd Service MeshLinkerd2 lightweight service mesh for automatic mTLS, traffic metrics, and certificate rotation. Zero-config mTLS, per-route metrics, traffic splits, retries, and timeouts for inter-agent communication. Sources: linkerd/linkerd2 (Apache-2.0).Votes: 0GitHub stars: 3
- Lint Staged Git Hooklint-staged pre-commit hook for running linters only on Git-staged files. Pattern-matched task runners, auto-fix before commit, integration with husky, and staged-only analysis to minimize CI overhead. Sources: okonet/lint-staged (MIT).Votes: 0GitHub stars: 3
- Liquid Glass DesigniOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.Votes: 0GitHub stars: 3
- LitellmCall 100+ LLMs through a single OpenAI-compatible interface with LiteLLM — use completion/acompletion/embedding with any provider (Anthropic, OpenAI, Google, Groq, Ollama, etc.), run a proxy server for team rate-limiting and cost tracking, load-balance across providers.Votes: 0GitHub stars: 3
- Llama Cpp Quantizationllama.cpp GGUF/GGML quantization patterns for local LLM inference. Quantization levels (Q4_K_M, Q8_0, F16), CPU/GPU offloading, context window sizing, and embedding extraction via llama.cpp HTTP server. Sources: ggerganov/llama.cpp (MIT).Votes: 0GitHub stars: 3
- LlamafactoryUse when fine-tuning, training, or doing LoRA/QLoRA on LLMs. Triggers on: 'fine-tune LLM', 'LoRA', 'QLoRA', 'llamafactory', 'llama factory', 'train model', 'SFT', 'RLHF', 'DPO', 'fine tuning', 'custom model', 'instruction tuning', 'finetuning'.Votes: 0GitHub stars: 3
- Llm Eval FrameworkLLM evaluation harness for accuracy benchmarking. MMLU/HumanEval/MATH eval runners, model-graded scoring, prompt regression testing, and per-skill accuracy tracking. Sources: openai/simple-evals (MIT).Votes: 0GitHub stars: 3
- Llm Int8 QuantizationLLM.int8() and bitsandbytes 4-bit quantization (NF4/FP4) for memory-efficient LLM loading. Mixed-precision decomposition, QLoRA fine-tuning, double quantization, and GPU OOM prevention patterns. Sources: TimDettmers/bitsandbytes (MIT).Votes: 0GitHub stars: 3
- Llm Load TestingLLM inference load testing for throughput and concurrency limits. Token/s benchmarks, concurrent request sweeps, latency-vs-throughput curves, and breaking-point identification. Sources: vllm-project/vllm benchmarks (Apache-2.0).Votes: 0GitHub stars: 3
- Llm Output ValidationLLM output validation patterns — structured output schemas, hallucination detection, retry-with-backoff, streaming output safety, tool-call validation, and confidence scoring. Sources: instructor-ai/instructor, colinhacks/zod, vercel/ai, anthropics/anthropic-sdk-python, outlines-dev/outlines, guardrails-ai/guardrails.Votes: 0GitHub stars: 3
- Llm Ui PatternsDesign UI for LLM-powered features — streaming response display, hallucination states, RAG source attribution, generative UI patterns, and AI trust calibration. Use when asked to "show streaming output", "display AI response", "cite sources", "handle AI errors", "show confidence", "build a chatbot UI", or "design for generative AI". Do NOT use for: backend LLM API integration or RAG pipeline design — those are separate concerns.Votes: 0GitHub stars: 3
- Load TestingDesign and run load tests — tool selection (k6/Locust), test type strategy (smoke/load/stress/spike/soak), ramp-up curves, p50/p95/p99 targets, and threshold policy. Use when asked to "write a load test", "k6 script", "performance test", "check how many concurrent users", "find breaking point", "set SLO thresholds", or "load test this API". Do NOT use for: frontend Core Web Vitals (see web-performance skill). Do NOT use for: unit/integration test suites. Do NOT use for: security fuzzing.Votes: 0GitHub stars: 3
- Logging ObservabilityProduction logging — structlog, structured JSON logs, correlation IDs, log levels, OpenTelemetry traces, no print()Votes: 0GitHub stars: 3
- Loki Log AggregationGrafana Loki label-based log aggregation. LogQL queries, Promtail scraping, structured log indexing, stream selectors, and log-to-metric extraction for agent audit trail analysis. Sources: grafana/loki (AGPL-3.0).Votes: 0GitHub stars: 3
- Lsp NavigationUse when searching for where a function/class/variable is defined or referenced, before using grep on the codebase. Triggers on: 'where is X defined', 'find all uses of Y', 'what calls Z', 'go to definition', 'find references', searching for a symbol name across files.Votes: 0GitHub stars: 3
- Magic String SourcemapSource string mutation with automatic source map tracking. In-place overwrite, insertion, removal, and prepend/append operations that preserve accurate sourcemap positions for patch loops and codemods. Sources: unjs/magic-string (MIT).Votes: 0GitHub stars: 3
- Managing Cloud Identity With Okta'This skill covers implementing Okta as a centralized identity providerVotes: 0GitHub stars: 3
- Managing Intelligence Lifecycle'Manages the end-to-end cyber threat intelligence lifecycle from planningVotes: 0GitHub stars: 3
- Mapping Mitre Attack Techniques'Maps observed adversary behaviors, security alerts, and detection rulesVotes: 0GitHub stars: 3
- Marketing CampaignEnd-to-end marketing campaign — audience research, positioning, landing page copy, email sequences, social posts, ad copy, video scripts, content calendars. Use with marketing-agent.Votes: 0GitHub stars: 3
- MarkitdownConvert mọi file (PDF, Word, Excel, PowerPoint, Image, Audio, HTML, CSV, YouTube URL) thành Markdown cho LLM. Tích hợp vào YAMTAM vault để import tài liệu.Votes: 0GitHub stars: 3
- Matrix Dimensionality ReductionLinear algebra matrix operations and dimensionality reduction for embedding compression. PCA, SVD basics, matrix multiply, transpose, and vector projection — pure JS for agent memory optimization. Sources: scijs/matrix, numeric.js patterns.Votes: 0GitHub stars: 3
- MattermostSelf-hosted open-source collaboration platform — chat, bots, webhooks, plugins, AI integration, Slack/Teams alternative with full data control. Triggers on: 'mattermost', 'self-hosted slack alternative', 'open source teams alternative', 'mattermost bot', 'mattermost webhook', 'mattermost plugin', 'mattermost API', 'mattermost integration', 'AI agent mattermost', 'deploy mattermost', 'mattermost docker', 'mattermost kubernetes', 'enterprise chat self-hosted', 'mattermost AI features', 'matterm...Votes: 0GitHub stars: 3
- Mattpocock Code ReviewReview the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".Votes: 0GitHub stars: 3
- Mattpocock Codebase DesignShared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.Votes: 0GitHub stars: 3
- Mattpocock Diagnosing BugsDiagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.Votes: 0GitHub stars: 3
- Mattpocock Domain ModelingBuild and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.Votes: 0GitHub stars: 3
- Mattpocock Git Guardrails Claude CodeSet up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.Votes: 0GitHub stars: 3
- Mattpocock Grill MeA relentless interview to sharpen a plan or design.Votes: 0GitHub stars: 3
- Mattpocock Grill With DocsA relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.Votes: 0GitHub stars: 3
- Mattpocock GrillingGrill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.Votes: 0GitHub stars: 3
- Mattpocock HandoffCompact the current conversation into a handoff document for another agent to pick up.Votes: 0GitHub stars: 3
- Mattpocock ImplementImplement a piece of work based on a spec or set of tickets.Votes: 0GitHub stars: 3
- Mattpocock Improve Codebase ArchitectureScan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.Votes: 0GitHub stars: 3
- Mattpocock Migrate To ShoehornMigrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.Votes: 0GitHub stars: 3
- Mattpocock PrototypeBuild a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.Votes: 0GitHub stars: 3
- Mattpocock ResearchInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.Votes: 0GitHub stars: 3
- Mattpocock Resolving Merge ConflictsUse when you need to resolve an in-progress git merge/rebase conflict.Votes: 0GitHub stars: 3
- Mattpocock Scaffold ExercisesCreate exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.Votes: 0GitHub stars: 3
- Mattpocock Setup Pre CommitSet up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.Votes: 0GitHub stars: 3