Browse the full directory of Claude Code plugins — commands, agents, skills, MCP servers, and more.
Browse plugins →8 plugins that use hooks, agents, and skills to automate Claude Code workflows — compared by install data, component coverage, and automation approach.
Claude Code's plugin system exposes hooks, agents, skills, and commands as composable building blocks. Across the 31,905 plugins in the directory, there are 47,224 agents and 6,957 hooks — many designed specifically to chain actions together, enforce processes, or eliminate repetitive steps.
This post covers 8 plugins that approach workflow automation from different angles: structured TDD enforcement, token-efficient communication, multi-agent orchestration, persistent memory, and prompt management. Each is evaluated using install data and component coverage from the ClaudePluginHub directory.
Superpowers (1,329 installs in the last 7 days, 198,309 stars) ships skills and hooks that enforce a structured TDD workflow. It guides brainstorming sessions into validated specs, creates isolated git worktrees for feature branches, and runs verification checkpoints before merging or committing. If your workflow pain point is undisciplined feature development — branches that drift, commits without tests, code that skips review — Superpowers adds guardrails at each step.
Its component types (skills, hooks) mean it operates at the lifecycle level: hooks fire on specific Claude Code events, while skills define reusable task templates like parallel task execution and root-cause debugging.
Caveman (975 installs/7d, 61,597 stars) takes a different approach to workflow efficiency. Instead of adding process structure, it cuts token usage by approximately 75% using ultra-compressed communication across conversations, code reviews, commits, and file edits. It ships agents, skills, and hooks.
For automation pipelines that run many Claude Code sessions — nightly code reviews, batch refactors, CI-triggered agents — token cost is a real constraint. Caveman addresses this by preserving full technical accuracy in a compressed format, making long-running automated workflows financially viable.
ECC (264 installs/7d, 187,411 stars) is the broadest plugin in this list, with over 300 components spanning commands, agents, skills, hooks, and MCP servers. It covers autonomous multi-agent coding workflows, TDD enforcement, security audits, production code generation across JS/TS/Python/Rust/mobile stacks, performance optimization, and deployment automation.
The breadth is both its strength and its trade-off: you get a single install for many automation needs, but the scope means you're pulling in far more than you may use. If your goal is a specific workflow (say, automated security audits on PRs), ECC bundles that alongside dozens of unrelated capabilities.
Everything Claude Code (65 installs/7d, 2 stars) shares the same component types as ECC — commands, agents, skills, hooks, and MCP — but comes from a different author and repository. With 2 stars and 65 weekly installs, it's much earlier in adoption. Developers evaluating this space should compare the specific agents and hooks each package offers rather than relying on the name similarity.
Claude-Mem (37 installs/7d, 76,498 stars) solves a specific automation problem: context loss between sessions. It captures observations from Read, Edit, and Bash actions, stores them in a local SQLite database, and injects relevant memories into new sessions. Components include skills, hooks, and MCP servers.
For automated workflows that span multiple sessions — implementation planning on Monday, coding on Tuesday, PR review on Wednesday — Claude-Mem ensures each session starts with relevant context from prior work. It also includes skills for codebase mapping, structural search, PR monitoring, and release automation.
Prompts.chat (162,464 stars) provides commands, agents, skills, and MCP servers for searching, retrieving, and managing thousands of AI prompts. You can install curated skills to extend Claude Code's capabilities, fill prompt variables, save custom prompts with metadata, and enhance them using AI.
In an automation context, prompts.chat is useful for standardizing the instructions your automated agents receive. Rather than hardcoding prompts in scripts, you can pull from a managed library and iterate on prompt quality independently of your pipeline code.
Ruview (59,770 stars) ships commands, agents, and skills. While it has a strong star count, the snapshot doesn't include weekly install data, so adoption patterns may differ from community interest.
Mem0 (56,038 stars) is another memory-focused plugin, providing skills, hooks, and MCP servers. It differs from Claude-Mem in its approach: Mem0 uses a dedicated platform to retrieve relevant past decisions, strategies, and session states, enable semantic search across long-term memories, and store user data for personalization. It supports both Python and TypeScript SDKs.
If you need cross-tool memory — not just Claude Code sessions but also other AI applications — Mem0's platform approach may fit better than Claude-Mem's local SQLite storage.
The 8 plugins break down into four automation strategies:
Process enforcement — Superpowers adds TDD structure, verification gates, and worktree isolation. It doesn't change what Claude Code does, but controls the sequence and quality checks around it.
Cost optimization — Caveman reduces token consumption by ~75%, making long-running automation pipelines cheaper to operate. This is orthogonal to the others and can be combined with process or orchestration plugins.
Broad orchestration — ECC and Everything Claude Code (burgebj) both offer wide component coverage across all five major types (commands, agents, skills, hooks, MCP). ECC has significantly higher adoption (264 vs. 65 installs/7d) and community validation (187,411 vs. 2 stars).
Session memory — Claude-Mem and Mem0 both persist context across sessions, but differ architecturally. Claude-Mem stores locally in SQLite; Mem0 connects to an external platform. Prompts.chat complements these by managing the prompt templates that automated agents use.
In terms of component coverage: only ECC and Everything Claude Code (burgebj) include all five component types. Superpowers is the most focused, shipping only skills and hooks. The narrower the component surface, the easier it is to predict the plugin's impact on your workflow.
Adoption data tells its own story. Superpowers has the highest weekly installs at 1,329, followed by Caveman at 975 and ECC at 264. The remaining plugins have 65 or fewer weekly installs, or no reported install data — a useful signal for gauging community validation, though lower install counts don't indicate lower quality.
Match the plugin to your automation bottleneck:
These plugins aren't mutually exclusive. A practical setup might combine Superpowers for process enforcement, Caveman for token efficiency, and Claude-Mem for session continuity. The hooks and agents component types are the primary integration points — browse the plugin directory to compare what each plugin registers.
Install any of these plugins through the ClaudePluginHub directory, then check the hooks and agents each one registers. Start with the plugin that addresses your most immediate workflow friction — whether that's test discipline, token cost, or session memory — and layer additional plugins as your automation pipeline matures.
The workflow automation space within Claude Code's 31,905-plugin ecosystem is still forming. Install data shows clear early adoption around process enforcement (Superpowers at 1,329/week) and cost optimization (Caveman at 975/week), with broader orchestration tools like ECC gaining traction. As more developers build automation pipelines, expect this category to grow.
Enforces a structured TDD workflow with parallel task execution, code review, and root-cause debugging. Guides brainstorming into validated specs, creates isolated git worktrees for feature branches, and runs verification checkpoints before merging or committing.
Cuts Claude Code token usage by ~75% using ultra-compressed caveman-style communication across conversations, code reviews, commits, and file edits while preserving full technical accuracy.
Supercharge Claude Code with 300+ agents, skills, commands, and hooks to orchestrate autonomous multi-agent coding workflows, enforce TDD, conduct security audits, generate production code across JS/TS/Python/Rust/mobile stacks, optimize performance, and automate deployments/testing.
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
Persists Claude Code context across sessions by capturing observations from Read/Edit/Bash actions, storing them in a local SQLite database, and injecting relevant memories into new sessions. Includes skills for codebase mapping, structural search, PR monitoring, implementation planning, and release automation.
Search, retrieve, improve, and manage thousands of AI prompts and Claude skills from prompts.chat directly in your coding assistant. Install skills to extend capabilities, fill prompt variables, save custom prompts with metadata, and enhance them using AI.
End-to-end RuView (WiFi-DensePose) toolkit for Claude Code: onboarding, ESP32 hardware setup, configuration, sensing applications, model training, advanced multistatic sensing, and witness verification — from practical to advanced.
Add persistent memory to Claude Code tasks and AI apps via Mem0: retrieve relevant past decisions, strategies, and session states on new tasks; store user data for personalization; enable semantic search across long-term memories using Python/TS SDKs, hooks, and MCP tools.