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Showing 2,521–2,580 of 13,469 skills · Page 43 of 225
anthropics / example-skill
43.1kThis skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills.
mukul975 / analyzing-golang-malware-with-ghidra
34.7kReverse engineer Go-compiled malware in Ghidra by parsing Go buildinfo
mukul975 / analyzing-malware-family-relationships-with-malpedia
34.7kQuery the Malpedia API to look up malware family aliases and naming
mukul975 / auditing-tls-certificate-transparency-logs
34.7k'Monitors Certificate Transparency (CT) logs to detect unauthorized certificate
mukul975 / automating-ioc-enrichment
34.7k'Automates the enrichment of raw indicators of compromise with multi-source
mukul975 / building-soc-escalation-matrix
34.7kBuild a structured SOC escalation matrix defining severity tiers, response
mukul975 / collecting-open-source-intelligence
34.7k'Collects and synthesizes open-source intelligence (OSINT) about threat
mukul975 / conducting-mobile-app-penetration-test
34.7k'Conducts penetration testing of iOS and Android mobile applications
mukul975 / conducting-network-penetration-test
34.7k'Conducts comprehensive network penetration tests against authorized
mukul975 / containing-active-breach
34.7k'Executes containment strategies to stop active adversary operations
nanocoai / add-karpathy-llm-wiki
31.0kAdd a persistent wiki knowledge base to a NanoClaw group. Based on Karpathy's LLM Wiki pattern. Triggers on "add wiki", "wiki", "knowledge base", "llm wiki", "karpathy wiki".
nanocoai / update-skills
31.0kRefresh installed NanoClaw channel and provider payloads from their registry branches with fork-safe remote resolution and a blocking structured result. Use after updating NanoClaw or whenever installed channel/provider code may be stale.
alirezarezvani / hivemind
28.4kOrchestrate free opencode workers from Claude Code to cut token costs
KKKKhazix / hv-analysis
21.5k横纵分析法（Horizontal-Vertical Analysis）深度研究Skill。由数字生命卡兹克提出，融合了索绪尔的历时-共时分析、社会科学的纵向-横截面研究设计、商学院案例研究法与竞争战略分析的核心思想。 当用户想要系统性研究一个产品、公司、概念、技术或人物时使用。核心是双轴分析：纵轴追踪从诞生到当下的完整生命历程（以叙事故事呈现），横轴在当下时间截面上与竞品/同类进行系统性横向对比，最后交叉两条轴产出独到洞察。最终产出一份排版精美的PDF研究报告。 触发词包括但不限于：横纵分析、研究一下、帮我分析、深度研究、做个研究、调研一下、竞品分析、帮我看看这个东西怎么样、这个产品/公司/概…
KKKKhazix / neat-freak
21.5kKnowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer.
AgriciDaniel / seo-agentic
19.3kAudit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools.
AgriciDaniel / seo-maps
19.3kMaps intelligence for local SEO: geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification, competitor radius mapping, and LocalBusiness schema generation.
wanshuiyin / formula-derivation
17.7kStructures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document
wanshuiyin / meta-apply
17.7kPrivileged applier that LANDS meta-optimize / corpus-audit patches the user approved — the ONLY skill permitted to mutate the skill corpus from a self-modification proposal, with cross-model jury and human approval at landing
AgriciDaniel / autoresearch
15.7kRun a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge
AgriciDaniel / wiki-ingest
15.7kIngest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer.
Orchestra-Research / distributed-llm-pretraining-torchtitan
13.8kProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP)
Orchestra-Research / sentencepiece
13.8kLanguage-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization
Orchestra-Research / axolotl
13.8kExpert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
Orchestra-Research / miles-rl-training
13.8kProvides guidance for enterprise-grade RL training using miles, a production-ready fork of slime
Orchestra-Research / simpo-training
13.8kSimple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
Orchestra-Research / slime-rl-training
13.8kProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework
Orchestra-Research / torchforge-rl-training
13.8kProvides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms
Orchestra-Research / verl-rl-training
13.8kProvides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL)
Orchestra-Research / training-llms-megatron
13.8kTrains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies
Orchestra-Research / skypilot-multi-cloud-orchestration
13.8kMulti-cloud orchestration for ML workloads with automatic cost optimization
Orchestra-Research / awq-quantization
13.8kActivation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss
Orchestra-Research / quantizing-models-bitsandbytes
13.8kQuantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss
Orchestra-Research / optimizing-attention-flash
13.8kOptimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction
Orchestra-Research / gguf-quantization
13.8kGGUF format and llama.cpp quantization for efficient CPU/GPU inference
Orchestra-Research / hqq-quantization
13.8kHalf-Quadratic Quantization for LLMs without calibration data
Orchestra-Research / llama-cpp
13.8kRuns LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
Orchestra-Research / tensorrt-llm
13.8kOptimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
Orchestra-Research / serving-llms-vllm
13.8kServes LLMs with high throughput using vLLM's PagedAttention and continuous batching
Orchestra-Research / autogpt-agents
13.8kAutonomous AI agent platform for building and deploying continuous agents
Orchestra-Research / faiss
13.8kFacebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata.
Orchestra-Research / langsmith-observability
13.8kLLM observability platform for tracing, evaluation, and monitoring
Orchestra-Research / phoenix-observability
13.8kOpen-source AI observability platform for LLM tracing, evaluation, and monitoring
kajisho5 / shipping-build-artifacts
2.0kMake the build step a real gate on what you actually distribute — build scripts that warn and exit 0 on a missing input, size checks with only an upper bound, hand-maintained file lists that drift from the entrypoints they must cover, committed bundles that go stale when only the source changes, GNU…
kajisho5 / concurrent-branches
2.0kResolve conflicts and merges when several branches are open against one repo at the same time — the hotspot files every change must touch (registry manifests, a single version field, shared tool config, one aggregated test module, tracked build output), union-vs-recompute-vs-rebuild as three differe…
kajisho5 / shipping-across-surfaces
2.0kLand a change everywhere the same fact is stated — enumerating the full surface inventory (landing copy, docs, machine-readable summaries, changelog badges repeated across every page, sitemap, README, descriptions embedded in code, and untyped frontend consumers of typed responses), generating a sur…
kajisho5 / guarding-destructive-operations
2.0kAdd and review preconditions on operations that delete, overwrite, rewrite history, or resolve a caller-supplied name to a filesystem path — refusing instead of warning, placing the guard ahead of the first mutation, structural classification rather than string-prefix matching, name validation plus…
kajisho5 / keeping-git-repos-clean
2.0kPrevents, detects, and remediates files that should never be committed — secrets (.env, API tokens, hardcoded credentials) and dev artifacts (build output, scratch databases, editor/OS files).
Jeffallan / database-optimizer
11.9kOptimizes database queries and improves performance across PostgreSQL and MySQL systems
Jeffallan / debugging-wizard
11.9kParses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs
Jeffallan / dotnet-core-expert
11.9kUse when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.
Jeffallan / javascript-pro
11.9kWrites, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs
Jeffallan / kotlin-specialist
11.9kProvides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design
Jeffallan / playwright-expert
11.9kUse when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke to write test scripts, create page objects, configure test fixtures, set up reporters, add CI integration, implement API mocking, or perform visual regression testing.
Jeffallan / postgres-pro
11.9kUse when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Jeffallan / prompt-engineer
11.9kWrites, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites
Jeffallan / rails-expert
11.9kRails 7+ specialist that optimizes Active Record queries with includes/eager_load, implements Turbo Frames and Turbo Streams for partial page updates, configures Action Cable for WebSocket connections, sets up Sidekiq workers for background job processing, and writes comprehensive RSpec test suites
Jeffallan / rust-engineer
11.9kWrites, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option
Jeffallan / swift-expert
11.9kBuilds iOS/macOS/watchOS/tvOS applications, implements SwiftUI views and state management, designs protocol-oriented architectures, handles async/await concurrency, implements actors for thread safety, and debugs Swift-specific issues
Jeffallan / terraform-engineer
11.9kUse when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, resolve state conflicts), provider configuration, multi-environment…