208 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 208 Plugins, die diesen Filtern entsprechen.
pentheradanoszz/penthera1
coding-posturealexei-led/coding-posture1
optimnowOptimNow/cloud-finops-skills1
evilmartiansevilmartians/agent-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenGoal-based planning and proof gate for production-grade AI coding agent work.
Offline cyber security agent for your apps and AI coding tools. Open R&D: measured in public, improved every release.
Coding agents hallucinate APIs. ContextMatic gives them curated, versioned API and SDK docs. Ask your agent to "integrate the payments API" and it guesses — falling back on outdated training data and generic patterns that don't match your actual SDK. ContextMatic solves this by giving the agent deterministic, version-aware, SDK-native context at the exact moment it's needed.
Task-aware working modes for coding agents — debug, fix, review, migrate, and more
Expert FinOps guidance for cloud, AI, SaaS and data-platform spend. Ask Claude how to reduce a bill, size a commitment, allocate shared costs or justify AI spend, and it answers with billing mechanics, decision rules and worked examples, not generic advice. Cloud: AWS, Azure, GCP, OCI, Kubernetes and on-premises or hybrid estates, including Savings Plans, Reserved Instances, Azure Hybrid Benefit and contract negotiation. AI: Anthropic, Bedrock, Azure OpenAI, Vertex AI, open-weight model APIs, AI coding tools, agent costs, self-hosted vs managed inference. Data platforms: Databricks, Snowflake, Microsoft Fabric. FinOps practice: allocation, showback and chargeback, forecasting, operating model, FOCUS multi-cloud cost data, tagging, anomalies, KPIs, workload onboarding, SaaS and IT asset management, GreenOps. Waste playbooks: 44 runbooks for waste patterns such as idle NAT gateways, orphaned disks, snapshot sprawl, unused reservations, oversized GPUs and coding-agent token waste. Each gi
Publish a catalog of agent skills and make it discoverable and installable by AI coding agents — a .well-known discovery index, self-hosted archives with integrity digests, and multiple install commands (npx skills, gh skill, Claude plugin marketplace, curl)
aiTurn a how-to video into a reusable skill for your AI coding agent — watched locally, no API keys.
productivityEvidence-first, workload-driven backend performance review methodology for AI coding agents.
Self-evolving skills for your coding agent — auto-create and auto-improve skills as you work, no trigger needed.
Drive Bird from your coding agent: operate the Bird API from the terminal with the `bird` CLI, send across email, SMS, and WhatsApp Business, and audit a domain's email authentication.
Route coding agents to only the repository context each task needs.
Jira suite — drive Atlassian Jira from the terminal with `jira` (ankitpokhrel/jira-cli, v1.7.0) against ANY Jira (Cloud or on-premise/Data Center). Covers the full command surface (issue / epic / sprint / board / project / release), the non-interactive automation contract (`--no-input` + `--plain`/`--raw`/`--csv` for agent-safe, parseable runs), JQL filtering and the date/negation idioms, GitHub- and Jira-flavored markdown → Atlassian Document Format (ADF) conversion and its lossy edges, authentication for every backend (Cloud API token, on-prem basic, PAT/bearer, mTLS), and live-discovery of instance-specific values (project keys, issue types, statuses, priorities, resolutions, link types, custom field IDs) instead of hardcoding them. Instance-agnostic — no account-specific content.
developer-toolsStep one of vibe coding — turn scattered reading and half-formed ideas into a design you can defend. Three markdown layers (sources → ideas → output) synced on the human's command on a visual canvas; the human adjudicates, the agent runs errands.
Generate images using AI directly from your coding workflow. Supports OpenAI (gpt-image-2) and Google Gemini. BYO API key — the skill guides you through setup on first use.
Probes which coding-agent CLIs are installed and authenticated, routes each task to the best one with TypeSafe Jev, dispatches it, and judges whether the worker finished.
9 foundational coding principle skills for AI agents: KISS, DRY, SOLID, YAGNI, Separation of Concerns, Law of Demeter, Boy Scout Rule, Convention over Configuration, plus stack detection. Language-agnostic principles that help agents ship production-quality code.
Token diligence, transaction decoding, permissions and simulation review.
Teach your AI coding agent the MASA (Modular Agentic Semantic Architecture) framework
code-qualityDevelopment discipline from plan to green: red-green-refactor for new behaviour, green-to-green for pure refactors, verify before answering how-to-write-it questions, adversarial review before done
Test-driven development for people and coding agents: red-green-refactor one test at a time, reproduce bugs with a failing test first, and prove a change works with test evidence before calling it done.
functional-testing
