152 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 152 plugins that match these filters.
everyinfra-seo-skillseveryinfra/seo-skills1
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives1
cineticLeonxlnx/cinetic1
aiwgjmagly/aiwg1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAn auditable, on-disk PDLC state machine for AI software engineering: a staged workflow (PRD → design → TDD → implement → review → ship → retro) with hard contracts + objective checks from real exit codes, so an autonomous loop can drive it to convergence unattended (fail-stop / budget guards) — tool-agnostic, richest in Claude Code, plus Codex via adapters.
workflowAgent-native SEO/GEO workbench: 18 language markets, 87 stdlib scripts, self-updating intel loop, monitoring daemon, golden tests.
Write and migrate automated tests across ecosystems: Jest for JavaScript and TypeScript, Vitest with Vue and Pinia, pytest coverage loops, Pester major-version migrations, Terratest modules, and exploratory web testing.
12 working methods for customer support: community-support, customer-feedback-loop, difficult-customer-conversations, knowledge-base-design, and more
14 working methods for javascript typescript: js-async-patterns, js-error-handling, js-event-loop, js-immutability, and more
22 working methods for llm engineering: agent-memory, agentic-loops, coding-agent-workflow, context-engineering, and more
73 working methods for multi agent teams: agent-accountability-loop, agent-analytics-desk, agent-arch-board, agent-blackboard-workspace, and more
Direct and render launch films, update videos, product videos, feature loops, logo stings and UI walkthroughs with Remotion or HyperFrames: a direction per film, real imagery, brand kits and a licensed music track.
Human-in-the-loop (HITL) gate definitions for agent operations. Provides reusable YAML gates for destructive-action authorization, false-positive override, and recovery escalation. Loaded by agent loops and orchestrators that need bounded human checkpoints.
Lightweight spec loop: plan one slice, execute one task, checkpoint or close
Embedded C/C++ testing: GoogleTest on ARM, Unity and Ceedling with CMock mocks, QEMU system emulation, gcov coverage, and hardware-in-the-loop. An authoring agent (embedded-test-author) detects the framework and execution path, scaffolds the harness when none exists, and writes one unit test per spec.
functional-testingAgent workflow suite — Karpathy-pattern autoresearch (hill-climbing, multi-agent research) and skill-improver (Claude Code skill optimization loop).
ai-workflowThe 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.
productivityCLI design for AI agents — evaluate, design, and refactor CLIs so they reliably serve humans, AI agents, and orchestration systems simultaneously. Structured output, self-description, delegated auth, safety tiers, and a complete 8-phase interaction loop.
Autonomous optimization loop — iterates on prompts, skills, templates, or code overnight. Two evaluation modes: deterministic (eval.py with proxy heuristics) for mechanical checks, or AI judge (LLM rubric scoring) for creative/subjective quality. Uses 4-way agent separation for unbiased evaluation.
Discipline mode (staged planning, receipts, verify-against-source, adversarial review) + plan/kickoff commands + a plan-reviewer agent + an always-on SessionStart discipline injector + a Stop-hook autonomous loop (Layer 1, a deterministic gate) that can arm itself from a committed, content-hash-trusted .claude/tale-mode.json during a kickoff phase + a fail-closed plan-mode auto-approve for provably read-only shell (no more permission-dialog walls during investigation).
productivityAuthor Spine 4.3 rigs with rigc: an entry skill with the install line and the build, validate, render, check and vote loop, plus routers for rigging, motion, faces and foreign skeletons, each linking the shipped guide that owns its rules.
The SDLC as a guarded graph, with the milestone loop delegated to a milestone agent per milestone (per worktree under strategy C) whose bundle the orchestrator verifies against git before recording it. A run is one gitignored directory — state, per-milestone journals, and with --trace every state it passed through. Ships a run reviewer that turns a finished run into the evals it should have had, and an advisory onboarding skill that reports which third-party tools this session can invoke and what a run does without each. Command-invoked.
workflowThe five-skill discipline loop for long-running agent work: freeze a task's scope into a workorder, gate sensory output behind human review, log decisions so they survive a context reset, hand off state when work changes hands, and close out with evidence instead of claims.
productivity8 working methods for game development: entity-component-system, game-asset-pipeline, game-input-handling, game-loop-architecture, and more
