14 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 14 plugins that match these filters.
air-gapped-marketplaceair-gapped/skills1
atklamngockhuong/aiteamkit1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceCI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check
End-to-end feature orchestration with testing, security, performance, and deployment
Deployment patterns, rollback automation, and infrastructure templates
Pre-deployment checks, configuration validation, and deployment readiness assessment
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
Vertex AI Agent Engine deployment inspector and runtime validator
Runs a substantial task through a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, subagent build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine is built into the skill — no companion plugin required — with typed auto/judgment/manual gates, a frozen requirement spine that closes with evidence, a work board and a verification ledger that outlive a run, an exposure line naming what shipped unconfirmed, a progress rail computed from the project's own config, a proportional short path for small changes, a loop guard whose ceilings stop and record a blocker, and stage-3 tracks for what a product does, how it sounds and how it looks. Two modes need no task: `checkup` (what is unverified) and `setup` (audit existing docs); a third, `waves`, takes the whole board and closes it in waves that each finish in one pass. Retro insights can publish upstream as issues, opt-in and redacted.
developmentSecurity find-and-fix loop — adapted (Apache-2.0) from anthropics/defending-code-reference-harness and generalised to all vulnerability classes. Four read/write-only skills (no target-code execution): threat-model (bootstrap from code+CVEs+git-history, or interview an owner via Shostack's four questions, or both -> THREAT_MODEL.md), vuln-scan (static source review, parallel per-focus-area subagents -> VULN-FINDINGS.json), triage (adversarial N-vote verification, 16 false-positive exclusion rules, root-cause dedup, impact-on-asset x exploitability severity with stated deployment conditions, owner routing, checkpoint/resume -> TRIAGE.json), and patch (root-cause candidate diffs + independent reviewer, fix-first priority for deployment-conditional dangerous primitives, never auto-applied -> PATCHES/). The autonomous C/C++ + AddressSanitizer execution pipeline this was extracted from is referenced, not bundled (vuln-scan/HARNESS.md).
securityAI Team Kit - 25 skills covering the software delivery lifecycle of a company project team: choosing the next skill from the project's state, carrying several pieces of work through the lifecycle at once, project profile setup, per-team skill overrides, requirement intake, catching up on work in flight, estimation, technical design, reference specs for API, schema and feature, task breakdown, conventions, implementation planning, implementation, bug fixing, runtime verification, code review, QA, test case execution on a deployed environment, security review, version control, release, incident response, retrospective, onboarding, and handover
Contract testing for microservices: Pact consumer and provider tests, OpenAPI, GraphQL and Protobuf breaking-change checks, and a combined deploy gate. The gate aggregates Pact can-i-deploy, oasdiff, graphql-inspector and buf breaking into one go / no-go verdict. Agents (contract-drift-investigator, contract-test-scaffolder) trace contract drift to its source and scaffold contract tests from a spec.
functional-testing
