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.
fable-methodSahir619/fable-method1
motion-launch-videosKimeur/motion-launch-videos1
icons8icons8/agent-skills1
skillhubduthaho/skillhub1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceGoogle Agent Development Kit (ADK) starter for building production AI agents — ReAct single-agent or multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation harness, and optional Vertex AI Agent Engine deployment.
The Fable Workflow: think (fable-method), act (fable-loop), prove (fable-judge), grow (fable-domain). A problem-solving loop, its orchestration, an adversarial work-verifier, and a domain-adapter generator, with the eval that keeps them honest.
Azure AI Foundry agent development toolkit covering Agent Service synchronization, hosted agents with AG-UI frontends, Microsoft Agent Framework and Semantic Kernel, gateway and API governance, semantic caching, agent identity, and evaluation loops.
Improve existing code without changing behavior: surgical refactoring, complexity reduction, repository-wide review, design pattern and SOLID checks, formatting conventions, linter autofix loops, tech-debt planning, and incremental delivery discipline.
Run day-to-day Git and GitHub workflows: conventional commits and branches, issue and release management, pull request review loops, dashboards, Dependabot, and contribution guardrails.
Modernize COBOL, DB2, VSAM, and JCL systems with evidence-first archaeology, REQ-NNN lineage, bounded correction loops, an extracted engineering graph, behavior and data equivalence proof, and human-gated delivery.
Modernize COBOL, DB2, VSAM, and JCL systems with the four-stage classic workshop: evidence-first archaeology, REQ-NNN lineage, bounded implementation, and hardened evolution, without the correction-loop and engineering-graph layer.
Modernize Software AG Natural and Adabas systems with evidence-first archaeology, REQ-NNN lineage, bounded correction loops, an extracted engineering graph, behavior and data equivalence proof, and a preview-first workspace publisher.
Modernize Software AG Natural and Adabas systems with the four-stage SIFAP workshop: evidence-first archaeology, REQ-NNN lineage, bounded implementation, and hardened evolution, without the correction-loop and engineering-graph layer.
Thirteen skills for short launch and social videos made in code: kinetic type, flat shapes, cartoons, 3D type and logos, data charts, pixel art, particles, app UI, photo reels, captioned clips, transparent overlays, data globes and story shorts. Each film is one self-contained HTML file driven by a pure seek(t), rendered at 1:1, 9:16 or 16:9 to MP4 with real motion blur, sound when needed and a verified seamless loop.
creativeIcons8 icons and Ouch! illustrations for coding agents, plus a design pass over what the agent built with them. Locks a project to one icon pack and one illustration style, rejects wrong metaphors and generic art, and checks the finished screen for emoji standing in for icons, missing images, dead placeholders, broken icon imports, keyboard reach, contrast and token drift, fixing what it finds from the catalogue. Bundles the Icons8 MCP server. Animates static SVG illustrations into looped Lottie and MP4.
The evidence-gated coding loop: orient (map), build (feature), fix (bugfix), improve (refactor), gate (done), and run it all on one yes (autopilot)
Adversarially stress-tests a legal text — a contract, statute, regulation, or judicial opinion — for interpretive ambiguity: it finds the seams where the people governed by it will later disagree about what it means and turns each into a concrete dispute scenario with both sides' arguments, the likely outcome, and a fix. Use it whenever someone wants to pressure-test, red-team, audit, or find weak spots, loopholes, gaps, ambiguities, or drafting problems in a legal document; whenever a drafter wants to tighten a contract, statute, regulation, or opinion before it issues; whenever a litigator wants to mine an opinion or contract for arguments; or whenever someone hands over a legal text and asks where it will be fought over or for issue-spotting. Trigger it for contract review, statutory-ambiguity analysis, judicial-opinion scope analysis, and drafting QA — even if the user never says "stress-test" or "ambiguity."
8 playbook skills: spec-driven development, TDD, branch finishing, PR feedback, handoff, hooks and guardrails, game feature loop, and security research
88 curated skills (incl. workspace-mode for cross-repo flows), 30 composite slash commands, 14 specialist subagents with per-agent model + reasoning-effort tuning, and 10 hook scripts that quietly enforce discipline (confirm-to-commit on protected branches, destructive-git gating, no AI-attribution trailers in commits/PRs, dependency pre-flight, iron rules injected at session start). Covers the whole SDLC — including post-PR: CI diagnosis, releases, dependency audits, live incident response. Drives the senior-IC loop end-to-end via /orc:flow — workspace-aware: from a parent dir with multiple sibling repos, one flow spans them all with N linked PRs.
Set up Threadify, then learn from mature posts and prepare the next six drafts through one private growth loop.
Use for planning, TDD, verification loops, constraints, gardening, review, PRs, debugging, and ticket pipelines. Lean MIT skill stack for coding agents.
Domain-agnostic data-product skills, operating loops and analyst evidence graphs, with healthcare, marketing, logistics/ops and ecommerce applications.
Connect the Scenario MCP server and learn the core generation loop every other skill builds on.
6 skills (brainstorm, spec, plan, execute, verify, review) and 5 agents for autonomous spec-driven development with multi-runner support, DAG intelligence, and modular merge hardening
