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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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NameContainsScore

sentry

JetBrains/skills

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.

Skills

70

JetBrains/skills

Node.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces, or managing dependencies with catalogs, patches, or overrides.

Skills

70

Analyze and improve performance, throughput, latency, and concurrency behavior in Kotlin plus Spring services using real evidence from metrics, traces, SQL, thread or heap signals, and code paths. Use when endpoints are slow, pools saturate, coroutines or reactive flows block unexpectedly, N+1 or contention appears, or caching and parallelism decisions need precise, non-generic guidance.

Skills

70

Design reproducible build, image, and deployment pipelines for Kotlin plus Spring applications, including CI verification, layered containers, rollout safety, and deployment-time migration coordination. Use when creating or improving Dockerfiles, CI workflows, image hardening, Kubernetes manifests, release gates, or deployment strategies for Spring Boot services, especially where build reproducibility and operational safety matter.

Skills

70

qsimeon/openclaw-engaging

Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.

Skills

70

qsimeon/openclaw-engaging

Start voice calls via the OpenClaw voice-call plugin.

Skills

70

1.17x

attilaczudor/Test

Start voice calls via the OpenClaw voice-call plugin.

Skills

70

1.17x

attilaczudor/Test

Local text-to-speech via sherpa-onnx (offline, no cloud)

Skills

70

1.51x

redis/agent-skills

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

Skills

70

redis/agent-skills

Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.

Skills

70

redis/agent-skills

Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.

Skills

70

webmaxru/web-ai-agent-skills

Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.

Skills

70

zhxc372/cpp-ai-constitution

Load when modernizing, migrating, or upgrading C++ code from older standards (C++98/03/11/14) to modern C++ (17/20/23), or when applying systematic code improvements that preserve behavior.

Skills

70

ollygarden/skills

OpenTelemetry SDK initialization and configuration. Use when setting up or reviewing TracerProvider, MeterProvider, or LoggerProvider; choosing exporters, processors, or propagators; configuring OTLP transport; or extending an existing SDK setup for new signals. Use this skill whenever the task involves wiring up the OpenTelemetry SDK, even if the user only mentions "add tracing" or "set up metrics" without saying "SDK."

Skills

70

OpenTelemetry best practices for manual instrumentation. Use when adding, changing, or reviewing OpenTelemetry instrumentation in code. Guidance to choose runtime boundaries, choose signals, apply semantic conventions, handle propagation, control cardinality, and verify the result.

Skills

70

Ollygarden's recommended pattern for setting up OpenTelemetry in Java services. Covers the Javaagent vs Spring Boot Starter vs manual autoconfigure decision-making, the Maven BOM dependency pattern, and the setup checklist (no query strings in telemetry, startup DB span hygiene, declarative YAML config, standard OTEL_* env vars honored). Use when adding OTel to a Java project, choosing a setup path, or reviewing dependency declarations. Triggers on "java otel setup", "javaagent vs starter", "opentelemetry-bom", "url.query", "query parameter PII".

Skills

70

ollygarden/skills

Ollygarden's recommended pattern for setting up the OpenTelemetry SDK in Go services using otelconf. Covers project structure, the Providers struct, no-op fallback, runtime attribute injection, and the zap log bridge. Use when adding OTel to a Go project, structuring telemetry code, or reviewing an existing setup — including when DB spans show up as trace roots or GORM/database spans are disconnected from HTTP spans. Triggers on "go otel setup", "go telemetry pattern", "Providers struct go otel", "gorm WithContext", "root client span go".

Skills

70

lee-to/ai-factory

Set up agent context for a project. Analyzes tech stack, installs relevant skills from skills.sh, generates custom skills, and configures MCP servers. Use when starting new project, setting up AI context, or asking "set up project", "configure AI", "what skills do I need".

Skills

70

OpenLAIR/dr-claw

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Skills

70

Create academic presentation slide decks and optionally demo videos from research papers. Use when the user asks to "make slides", "create a deck", "make a presentation", "demo video", "paper slides", "conference talk slides", or wants to turn a paper into a visual presentation. Covers slide generation, narration scripts, TTS audio, and video assembly.

Skills

70

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