observability-and-instrumentation
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
planning-and-task-breakdown
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
security-and-hardening
Hardens code against vulnerabilities. Use when auditing an input handler for vulnerabilities, when handling user input, authentication, data storage, or external integrations, or when checking a login flow is safe against the OWASP Top Ten. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. Use when auditing dependencies for known vulnerabilities, triaging package-manager audit findings, or assessing supply-chain risk in a new package. Use when personal data or privacy compliance (GDPR, CCPA) is involved.
gke-expert
Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization. Use when working with GKE clusters, Kubernetes deployments on GCP, container orchestration, or when users need help with kubectl commands, GKE networking, autoscaling, workload identity, or GKE-specific features like Autopilot, Binary Authorization, or Config Sync.
fiftyone-code-style
Write Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
fiftyone-dataset-import
Universal dataset import for FiftyOne supporting all media types (images, videos, point clouds, 3D scenes), all label formats (COCO, YOLO, VOC, CVAT, KITTI, etc.), and multimodal grouped datasets. Use when users want to import any dataset regardless of format, automatically detect folder structure, handle autonomous driving data with multiple cameras and LiDAR, or create grouped datasets from multimodal data. Requires FiftyOne MCP server.
fiftyone-dataset-inference
Create a FiftyOne dataset from a directory of media files (images, videos, point clouds), optionally import labels in common formats (COCO, YOLO, VOC), run model inference, and store predictions. Use when users want to load local files into FiftyOne, apply ML models for detection, classification, or segmentation, or build end-to-end inference pipelines.
fiftyone-develop-plugin
Develop custom FiftyOne plugins (operators and panels) from scratch. Use when user wants to create a new plugin, extend FiftyOne with custom operators, build interactive panels, or integrate external APIs into FiftyOne. Guides through requirements, design, coding, testing, and iteration.
fiftyone-embeddings-visualization
Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or metadata, or understand data distribution. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
fiftyone-find-duplicates
Find duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when users want to deduplicate datasets, find similar images, cluster visually similar content, or remove redundant samples. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
fiftyone-pr-triage
Triage FiftyOne GitHub issues by validating status, categorizing resolution, and generating standardized responses. Use when reviewing issues to determine if fixed, won't fix, not reproducible, no longer relevant, or still valid.
adscrawl-browser
Read, capture, or interact with browser-rendered websites through AdsCrawl. Use when an AI agent needs to extract a page as Markdown, structured article JSON, or HTML; capture a viewport or full-page PNG screenshot; or create a remote CDP browser session for multi-step interaction, JavaScript-heavy applications, login flows, Playwright, Puppeteer, Selenium, or browser debugging.
ecc-guide
Guide users through ECC's current agents, skills, commands, hooks, rules, install profiles, and project onboarding by reading the live repository surface before answering.
extend-signal-schema
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agent-development
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
agentix-ceo
Manage your team — create roles, assign tasks, spawn workers, and monitor progress
analysis-tshark
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api-mitmproxy
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api-spectral
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container-grype
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container-hadolint
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crack-hashcat
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dast-ffuf
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dast-nuclei
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dast-zap
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detection-sigma
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forensics-osquery
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iac-checkov
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ir-velociraptor
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network-netcat
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pentest-metasploit
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policy-opa
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pytm
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recon-nmap
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reviewdog
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sast-bandit
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sast-horusec
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sast-semgrep
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webapp-nikto
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webapp-sqlmap
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ace-step
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agentspace
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ai-music
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codex-pet
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controlnet-pose
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elevenlabs-music-generation
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face-swap
>
find-skills
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flux-2-klein
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