agent-toolkit
A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows.
- 2.6k estrellas
- 242 forks
- 20 issues abiertos
- Lenguaje: Python
- Licencia: MIT
- actualizado
Instalación
git clone https://github.com/softaworks/agent-toolkit && cp agent-toolkit/*.md ~/.claude/agents/- Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
- Start a new Claude Code session to load the agents.
- Delegate work to them with the Task/Agent tool or by name.
24 items en este repositorio
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Use this agent when you need to visualize UI concepts through ASCII mockups before implementation. Examples: <example>Context: User has an idea for a dashboard layout with data tables and charts. user: 'I want to create a dashboard that shows user analytics with a sidebar navigation, main content area with charts, and a data table below' assistant: 'I'll use the ascii-ui-mockup-generator agent to create multiple ASCII mockup variations for your dashboard concept.' <commentary>The user wants to visualize a UI concept, so use the ascii-ui-mockup-generator to create multiple ASCII representations they can choose from.</commentary></example> <example>Context: User is designing a form layout with multiple input fields. user: 'I need a contact form with name, email, message fields and a submit button' assistant: 'Let me use the ascii-ui-mockup-generator to create several ASCII mockup options for your contact form layout.' <commentary>Since the user needs to visualize form layouts, use the ascii-ui-mockup-generator to provide multiple ASCII design options.</commentary></example>
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Create a detailed implementation plan using Codex 5.2 with high reasoning
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
PROACTIVELY use when reviewing communication drafts or preparing difficult conversations. Provides email refinement, tone calibration, roleplay practice, and presentation feedback with actionable suggestions.
Draft a professional email using the What-Why-How framework. Use when you need to compose emails to colleagues, stakeholders, or leadership.
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
Smart dependency management for any language. Auto-detects project type, applies safe updates automatically, prompts for major versions, diagnoses and fixes dependency issues.
Create and evolve design systems with design tokens, component architecture, accessibility guidelines, and documentation templates. Ensures consistent, scalable, and accessible UI across products.
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
Build a mental model of changes by splitting them into smaller logical chunks
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
Resumen de Subagents
Lo que la gente pregunta sobre agent-toolkit
¿Qué es softaworks/agent-toolkit?
softaworks/agent-toolkit es subagents para el ecosistema de Claude AI. A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows. Tiene 2.6k estrellas en GitHub y su última actualización registrada es del 2026-03-05.
¿Cómo se instala agent-toolkit?
Puedes instalar agent-toolkit clonando el repositorio (https://github.com/softaworks/agent-toolkit) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar softaworks/agent-toolkit?
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¿Quién mantiene softaworks/agent-toolkit?
softaworks/agent-toolkit es mantenido por softaworks. La última actividad registrada en GitHub es del 2026-03-05, con 20 issues abiertos.
¿Hay alternativas a agent-toolkit?
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.