math

Complete development infrastructure for Claude Code projects - 12 AI skills, task coordination hooks, multi-instance locking, templates, and visual Kanban dashboard

12 skills · 2 commands · hooks

Comprehensive plugin with specialized engineering subagents (API Architect, Security Specialist, Code Quality Reviewer, etc.) and productivity commands for software teams

2 commands · 10 agents · hooks

Transform Claude Code into an autonomous AI development powerhouse with rich task context, specialized agents, and intelligent workflow automation

5 commands · 3 agents

Automates git commit process by selecting the first suggested message, generating structured commits with consistent formatting while skipping manual confirmation and removing Claude co-Contributorship footer

1 command

Examples:

1 agent

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Two skills for hard mathematics problems, each ending in a self-contained proof.md: /math-proof:solo has the session work the problem itself in stages with a notes file; /math-proof:siege works on it for hours in rounds of judge and worker sub-agents and says plainly what is and is not proved.

2 skills · 3 agents

Internal BizOps domain. v2.8.0 ships 7 skills: orchestrator + process-mapper (BPMN/bottleneck/cycle-time, Lean+TOC) + vendor-management (scorecard+SLA+3rd-party risk, NIST SP 800-161/ISO 27036) + capacity-planner (Erlang-C queueing math for ops teams, NOT engineering) + internal-comms (ADKAR+Kotter 8-step, NOT marketing) + knowledge-ops (SOP+runbook+KB hygiene with 5W2H, context: fork) + procurement-optimizer (UNSPSC spend categorization + supplier consolidation). Orchestrator uses context: fork to route inquiries via Matt Pocock grill discipline (one question per turn, recommended answer, canon-cited challenge). Every SKILL.md ships a Forcing-question library section. 18 stdlib Python tools, 24+ reference docs. Distinct from business-growth (external sales) and c-level-advisor (strategic).

7 skills · 8 commands · 1 agent

Create narrated Mandarin math and science tutorial videos or interactive explainers from problem statements and images.

1 skill

教育类技能集合：把学科问题转成可交互教学网页与讲解视频。edu-solid-geometry 立体几何解题（建系+向量法，3D + MathJax）；edu-analytic-geometry 解析几何/圆锥曲线解题（sympy 精确计算 + 实时交互 2D 画板 + KaTeX）；edu-chem-reaction 化学反应微观 3D 演示（sympy 自动配平 + 原子守恒，morph/mechanism 双引擎，Three.js + KaTeX）；edu-math-video 数学题讲解视频（GLM-TTS 中文配音 + 中英双语字幕 + 手绘动画，渲染成 MP4）。

6 skills

Growth ops for ad agencies: audit accounts, write English and Arabic client reports and run ROAS maths, with live Google and Meta changes locked behind a human at a terminal.

1 skill

Executable business calculators & models — each ships a stdlib script: Unit Economics (LTV/CAC), SaaS Metrics (NRR/quick ratio), Runway (default alive/dead), Pricing, ROI/NPV — plus computed models that emit real .xlsx with live formulas: cohort curve fitting (LTV), Monte Carlo runway (P10/P50/P90), and Van Westendorp pricing. Verifiable math, not vibes.

30 skills