46 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 46 plugins that match these filters.
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace3
trailofbitstrailofbits/skills2
pm-claude-skillsmohitagw15856/pm-claude-skills2
pskoett-skillspskoett/pskoett-ai-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplace45 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator, API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker, feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate, slo-architect (error-budget + multi-window burn-rate alerts per Google SRE Workbook), tech-debt-tracker, agent-regression-evals, coding-agent-rollout, commit-craft, agent-run-forensics and i18n-localization. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, Op
Agent-orchestrated skills for finding, reproducing and adjudicating regressions in PRs or commits.
Prove an agent, prompt, model or tool change did not make the agent worse. Three deterministic stdlib scripts: a trajectory checker that grades tool-call paths (strict / unordered / subset / superset match modes, argument matching, forbidden tools that block in every mode, call ceilings); a flake detector that classifies each case as stable or flaky from repeated trials and reports pass@k and pass^k with Wilson intervals; and a paired regression gate that averages trials per case, tests per-case differences with a t-based CI and an exact one-sided McNemar test, and blocks the merge on a significant drop, a critical-case regression, a dropped case, or a quarantine entry without owner and expiry. Ships cs-eval-gatekeeper agent, /cs-agent-evals and /cs-eval-gate commands, 3 references, and a CI job example.
Operate AI agents and LLM features in production: prompt regression suites, model migration plans, context-engineering reviews, agent incident postmortems, and observability specs — plus the pm-ai evaluation and cost skills they build on.
QA & testing skills: Test Case Writer, Bug Report, Exploratory Test Charter, Regression Test Plan, QA Release Sign-off, and API Test Plan. Find bugs early and ship with evidence, not vibes.
Two-loop skill pipeline for Claude Code. Inner loop (plan-interview, intent-framed-agent, session-context, context-surfing, verify-gate, self-healing, simplify-and-harden) catches failures in-session — including active runtime recovery via self-healing when a command, test, build, helper, env, or external service fails mid-task. Outer loop (learning-aggregator, self-improvement, eval-creator, pre-flight-check) captures recurring patterns, promotes them to CLAUDE.md as permanent rules with human approval, and turns failures into regression tests. The harness gets stronger with every cycle.
Agent-orchestrated workflow to reproduce, patch, prove and regression-check one known bug.
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).
Development skills: feature implementation, bug fixing, testing, refactoring, CI/CD generation, framework documentation injection, project planning, image generation (Codex imagegen), database migrations, Docker setup, environment setup, visual regression checks, i18n checks, release shipping, and open-source launch prep
Track and run regression tests to ensure new changes don't break existing functionality
Visual diff testing with Percy, Chromatic, BackstopJS - catch unintended UI changes
QA skills and agents: test-plan generation, manual test execution with recon and independent evidence review, a curated knowledge bank, bug filing, and promotion of strong scenarios to regression tests.
testing
Detect performance regressions in CI/CD pipeline
Generate a spreadsheet of test entries — newly designated names from OFAC, OFSI, and EU sanctions lists plus deliberate variations of those names — to validate that a sanctions screening system catches fresh designations and is tuned to the right fuzziness threshold. Use this whenever the user asks for sanctions list update test data, screening regression test data, screening QA, fuzzy match calibration, or wants to verify their screening lists are current. Trigger even if the user doesn't say 'screening' explicitly — phrases like 'test my sanctions list', 'check our SDN coverage', 'is my list up to date', or 'build me a regression set from the latest designations' should also invoke this skill.
LLM and prompt evaluation with Promptfoo, DeepEval and Ragas, Giskard vulnerability scans, Langfuse tracing, and golden-dataset regression suites. Audits eval suites for methodology errors. Agents (prompt-eval-reviewer, llm-red-team-planner) review an eval suite and plan adversarial probe campaigns across the OWASP LLM Top 10.
ai-mlVisual regression testing with Percy, Chromatic, Playwright screenshots and Storybook, plus chart rendering tests for Chart.js, D3 and Vega. Covers responsive breakpoint matrices, baseline conventions, and a binding baseline gate. Agents (visual-diff-classifier, visual-baseline-curator) sort diffs into intentional, incidental or regression and propose an initial baseline set.
quality-engineeringML model testing: Giskard and Deepchecks validation, Evidently drift monitoring, Fairlearn fairness metrics, and model performance regression gates. Assigns risk tiers with the fairness and explainability evidence each tier requires, and wires Jupyter notebook CI with papermill, nbval, testbook and nbstripout.
ai-mlThe product-manager OS that gets better the more you use it: a CLAUDE.md operating brain, a memory that learns your product and team (3-min /setup), and a self-improving loop that watches the work you repeat and builds you custom skills for it. Plus 53 book-grounded skills across discovery → strategy → execution → launch — every one scored in CI and gated against regression — a workspace your artifacts land in, two isolated workers (critic + researcher), live connectors that write your work back to Linear/Notion/Slack, 5 chained workflows, ready-to-wire automations, and bundled getprompts + getskills libraries.
productivityGraphQL server testing for Apollo Server, GraphQL Yoga and Hasura: subscriptions, N+1 detection and fixes, and depth and cost limit hardening. Mercurius is covered in the Yoga references, and introspection and persisted-query hardening in the limits skill. Distinct from qa-contract-testing/graphql-schema-regression, which detects schema drift; this plugin tests the server runtime.
integrations-protocolsFlaky test triage: find the condition a flake depends on, quarantine it with an expiry date, fix known flake patterns, and track flake rates. Agents (e2e-flake-bisector, regression-bisector) rerun a test under varied conditions with a shared-state isolation stage, and run git bisect to find the commit that introduced a regression, with a perf-measurement mode.
operations-resilience
