Claude Code plugins
4,838 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
4,838 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceHelm chart development — chart scaffolding, values design, template patterns, dependency management, and Kubernetes deployment strategies.
Terraform infrastructure-as-code — module design patterns, state management, provider configuration, CI/CD integration, and multi-environment strategies.
Structured research summarization — summarize academic papers, market research, user interviews, and competitive analysis into actionable insights.
Create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. 10 developer personas, all CodeTour step types, SMIG description formula.
Create polished demo videos from screenshots and scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts with story structure, scene design system, and narration guidance.
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.
Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size calculator with power tradeoffs, and Wilson score confidence intervals.
Master Apple's Human Interface Guidelines (HIG) with focus on 2026 Liquid Glass aesthetics. Design and audit iOS, macOS, and visionOS apps for full compliance and premium feel. Includes hig_checker Python tool for tap targets and contrast.
End-to-end feature-flag discipline: classify, ship, ramp, retire. Detects stale flags as debt, generates phased rollout plans (ring/linear/log/cohort), and audits every flag for a documented kill switch. 3 stdlib Python tools, 4 references on flag taxonomy + provider trade-offs (LaunchDarkly/GrowthBook/Statsig/Unleash/Flipt/DIY) + rollout strategies + lifecycle. /flag-cleanup slash command. Cross-tool compatible.
End-to-end Kubernetes Operator discipline: CRD design, reconcile-loop patterns, and OperatorHub Capability Levels. Ships CRD validator, reconcile-loop linter, and capability auditor (3 stdlib Python tools), 4 references on the operator pattern + CRD design + reconcile patterns + framework comparison (controller-runtime/kubebuilder/operator-sdk/metacontroller/KOPF), CRD + Go controller skeletons, and /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
End-to-end chaos engineering discipline: design experiments with hypothesis + steady-state metric + blast radius + abort criteria, calculate risk score against error budget, and generate blameless postmortems. 3 stdlib Python tools (experiment_designer, blast_radius_calculator, experiment_postmortem), 4 references on chaos principles + experiment design + 7-attack taxonomy + tooling landscape (Chaos Toolkit/Mesh/Litmus/Gremlin/AWS FIS/DIY), templates, and /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (chaos targets).
End-to-end SLO/SLI/error-budget discipline per Google SRE Workbook. Ships SLO designer (refuses to render without required fields), error-budget calculator with multi-window burn-rate alert thresholds (PromQL-shaped), and SLO reviewer that catches the 7 common bugs. 4 references on principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. Asset templates for SLO YAML and error budget policy. /slo-design slash command. NOT a generic observability skill.
A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph atomic loop, GSD Core context engineering, Graphify KNOWN/INFERRED/UNKNOWN mapping, Ponytail lazy-senior hierarchy). Contributed via PR #854.
Agile product ownership for backlog management and sprint execution. INVEST-compliant user story generation, acceptance criteria patterns (Given/When/Then, rule-based, checklist), epic breakdown with 5 split techniques, sprint planning with velocity-based capacity math, and weighted backlog prioritization. Includes user_story_generator Python tool and 2 reference guides.
Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.
Self-Mirror consciousness loop for human-like AI responses. Adds inner dialogue (Self → Mirror → Conscious Response) to make AI output feel authentic, not robotic. Zero dependencies — pure prompt technique.
Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching an AI feature without cost architecture. NOT for RAG design or prompt quality (separate skills).
Manage prompts in production at scale: prompt versioning, A/B testing, prompt registries, regression prevention, and eval pipelines for production AI features. NOT for writing individual prompts, RAG design, or cost reduction (separate skills).
Business investment analysis and capital allocation advisor. Evaluates equipment, real estate, new-business, hiring, and technology investments with ROI, IRR, NPV, payback period, build-vs-buy, lease-vs-buy, and vendor evaluation frameworks for allocating limited budget.
Video content strategy: video scripts, YouTube channel optimization and SEO, short-form video pipelines (Reels, TikTok, Shorts), and repurposing long-form content into video. NOT for written blog content or caption-only social posts (separate skills).