beads-epic-builder

Core development tools with 9 commands, 7 AI agents, 31 skills, 6 hooks, and 2 stored templates producing 3 project artifacts

31 skills · 9 commands · 7 agents · hooks

Multi-persona adversarial code and design review panel, vendoring and adapting patterns from compound-engineering, clairvoyance, superpowers, ponytail, and mattpocock/skills

34 skills · 1 command · 1 agent · hooks

Comprehensive mutation testing with zombie test detection and auto-generated refactoring (1 command, 5 agents, 1 skill)

1 skill · 1 command · 5 agents

Browser testing & validation with E2E test generation and UI validation (2 agents, 2 skills)

2 skills · 2 agents

Learning guides, tech stack research, and technical writing (3 agents, 1 skill)

1 skill · 3 agents

Security-focused development with advisory and vulnerability scanning (2 agents, 1 skill)

1 skill · 2 agents · hooks

Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting

9 skills · 1 command · 4 agents

Teamwork Graph CLI is Atlassian's agent-first interface to your entire work context: Jira issues, Confluence pages, Bitbucket PRs, along with your connected third-party data sources. Purpose-built for coding agents like Claude Code (terminal or desktop), and powered by Atlassian's context graph. Try: "draft a Jira issue from this PR and link it to the epic." Using Claude Code in the browser? Install the Atlassian Rovo MCP plugin instead. Run /twg-setup after install to connect Atlassian Teamwork Graph CLI to Claude Code.

1 skill

Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams

6 skills · 7 commands · 4 agents

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

8 skills · 1 agent · hooks

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills

Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows. This plugin provides configuration guidance (LLM commit messages, project hooks, worktree paths), automatic activity tracking (🤖/💬 indicators in `wt list` showing active Claude sessions), and a `/wt-diff` pane showing each worktree's changes.

2 skills · hooks