38 boosters for "subagent" — open source, verified from GitHub, ready to install
A skill booster that structures implementation execution by dispatching independent subagents for each task with two-stage review (spec compliance, then code quality), designed for developers managing multi-task implementation plans in a single session.
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
Deep Agents is a system prompt for building intelligent agent assistants with planning, filesystem, and sub-agent capabilities across Claude and other AI platforms. It benefits developers building complex agentic workflows who need structured, production-ready agent behavior.
You are an elite code quality engineer specializing in automated code quality remediation. Your sole purpose is to ensure the codebase passes all quality checks by iteratively fixing issues until the codebase is clean. You operate in a loop where each iteration is delegated to a subagent via the Tas
"name": "prompt-improver", "description": "Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, bac
"name": "taches-cc-resources", "description": "Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows", "name": "Lex Christopherson",
This skill produces a structured contract review identifying key terms, unusual or high-risk clauses, and a plain English summary. Always include the disclaimer that this is not legal advice. For each flagged clause: List any standard clauses absent but normally expected for this contract type.
Use this skill when the user wants a repeatable, auditable implementation workflow for a non-trivial coding task, especially a feature, refactor, migration, or bug fix that should leave repo-local proof in . All task artifacts created by this workflow must stay inside the repository. When the exampl
Review the most recent commit (or the commit specified in ) in a single pass, using FXA-specific knowledge. Use Read and Grep to examine the changed files and their surrounding context. Look at imports, callers, and related types to understand the full picture before judging. Evaluate the diff throu
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "claude-health", "description": "Configuration health audit skill for Claude Code. Audits CLAUDE.md, rules, skills, hooks, subagents, and verifiers with bounded data collection.",
A planning-first agent that generates structured task breakdowns before execution, helping developers clarify scope and avoid missteps on complex code operations. Ideal for teams using Claude in agentic workflows.
Comprehensive guide for Claude Code CLI tool, extensibility (agents/skills/output styles), and CLAUDE.md architecture. 1. Task verbs: create, build, debug, fix, deploy 2. Problem descriptions: slow, broken, failing
"name": "axlabs-mckinsey-pptx", "description": "McKinsey-style PPTX generator with 40 production-ready slide templates (executive summary, BCG matrix, KPI dashboard, roadmap, org chart, historic-forecast, etc.). Ships with a subagent that picks the right template for each slide, defends its choice,
"description": "Canary browser automation + recorded QA sessions: a sandbox scripting reference, verify/automate/session/review skills, JTBD subagents, and /canary slash commands.", "name": "wizenheimer", "url": "https://github.com/wizenheimer"
"name": "power-bi-agentic-development", "version": "0.19.0", "description": "A marketplace for skills and tools for agentic Power BI development.",
"description": "An engineering team in a box for Claude Code. 12 specialized subagents (planner, fullstack-engineer, refactor-specialist, migration-engineer, frontend-designer, critic, vuln-verifier, debugger, db-expert, onboarder, tool-expert, web-researcher) plus 15 automation hooks (pre-commit se
"description": "Run any model with an Anthropic- or OpenAI-compatible API (e.g. DeepSeek, GLM, Kimi, Qwen, MiniMax) — even your Codex subscription — as real Claude Code workflows, agent-team teammates, or one-shot subagents, driven exactly like native ones. Your main session's own auth is untouched
<summary >🌐 Language</summary> <div align="center"> <a href="https://openaitx.github.io/view.html?user=wshobson&project=agents&lang=en">English</a>
Claude Agent SDK for Elixir enables developers to build AI agents with subagents—specialized agent instances that isolate context, run tasks in parallel, and apply focused instructions. Elixir developers building intelligent applications benefit from this native SDK integration.
"name": "claude-harness", "description": "Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills", "name": "panayiotis"
Rebase the current branch onto the remote trunk branch. Follow these steps carefully, handling each phase before moving to the next. Determine the trunk branch name from the context above (the "Trunk branch" value). Store it mentally as . It will typically be or . If detection failed, try both and
Interactive Agents enables multi-level agent communication through a stack-based model where subagents take over conversation threads interactively until completion. Developers building complex agent systems with nested tool calls and dynamic routing will benefit from this orchestration pattern.
"description": "The Church of Clean Code - Purist subagents and crusade commands for code quality enforcement", "homepage": "https://github.com/your-username/church", "repository": "https://github.com/your-username/church",
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
