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intentforge
v4 Stop building the wrong thing. IntentForge makes Claude extract every constraint, flag every ambiguity, and validate every assumption from your project request BEFORE writing a single line of code. It forces 3 competing architecture options, ranks them on a scoring formula, traces every implementation decision back to a requirement, and generates both success AND failure tests. If you've ever had Claude confidently build exactly what you didn't ask for — this fixes that.
chembl-database
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
planning
Generate and optimize PRDs, Implementation Plans, and Progress Tracking documents optimized as AI artifacts for development agents. Use when creating new feature plans, breaking down long planning docs (>800 lines), or setting up progress tracking. Supports: 1) Create PRD from feature request, 2) Create Implementation Plan from PRD with phase breakdown and subagent assignments, 3) Optimize existing plans by breaking into phase-specific files, 4) Create progress tracking with task assignments. Example: "Create a PRD for user authentication feature" or "Break down the sidebar-polish implementation plan into phase files" or "Create progress tracking for data-layer-fixes PRD".
moai-context7-integration
Enhanced context7 integration with AI-powered features
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
create-plans
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.
Optimeal_AI
A full-stack nutrition and recipe application for South Asian cuisine, featuring AI-powered food analysis, recipe conversion, and a co-pilot chat assistant for cooking guidance and meal planning.
idea-factory-orchestrator
**v1.0 AGENTIC PIPELINE**: 6단계 에이전틱 아이디어 팩토리! 프로젝트분석→카테고리분류→아이디어기획(병렬)→기획팀장→PRD개발팀장→CTO최종결정. 4team-review 통합, 상위 0.001% 전문가 수준 기획문서 자동 생성.
.taskmaster
A CLI tool and MCP server for AI-assisted project task management. It parses requirements, generates and organizes tasks, tracks dependencies, and integrates with Claude Code for development workflows.
sequential-thinking
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
code-query-mcp
A Model Context Protocol server that provides intelligent code search and documentation capabilities across large codebases, enabling efficient code discovery and persistent documentation storage between conversations.
create-meta-prompts
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
planning-quality-gates
Mandatory quality gates and checklists for planning phase - ensures comprehensive planning
planner
Use when planning feature implementations, creating design artifacts, or structuring development tasks. Apply when user mentions planning, designing, architecting new features, or needs to break down complex features into implementation phases. Use proactively when user describes a substantial new feature to implement.
Define Product
Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md documentation. Use when the user mentions "product definition", "define product", "product strategy", or needs to document user personas, pain points, and user journeys.
angular-migration
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
planning
Generate and optimize PRDs, Implementation Plans, and Progress Tracking documents optimized as AI artifacts for development agents. Use when creating new feature plans, breaking down long planning docs (>800 lines), or setting up progress tracking. Supports: 1) Create PRD from feature request, 2) Create Implementation Plan from PRD with phase breakdown and subagent assignments, 3) Optimize existing plans by breaking into phase-specific files, 4) Create progress tracking with task assignments. Example: "Create a PRD for user authentication feature" or "Break down the sidebar-polish implementation plan into phase files" or "Create progress tracking for data-layer-fixes PRD".
ai-alignment-research
Imported from https://www.skillhub.club/skills/burnssa-ai-alignment-research.
parallel-dispatch
Orchestrates concurrent workstreams via Task tool for non-trivial requests. Decomposes complex tasks into 3-10 parallel agents with independent scopes and synthesizes results. Use when requests involve: (1) multiple investigative paths or validation layers, (2) research, analysis, or debugging exceeding trivial scope, (3) implementation planning requiring facet exploration, or (4) any moderate+ complexity task benefiting from parallel execution.
tapestry
Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
brainstorm-proof-of-concept-plan
Use when requirements specify risky technical assumptions, unfamiliar APIs, or complex integrations before implementing full features - creates sequential POC plans with parallel research validation, design documentation, and risk mitigation for incremental confidence building
plan-decompose
Extracts work units from plan artifacts and creates sequenced GitHub issues. Use when (1) decomposing plan.md into actionable issues, (2) creating issues with validation checklists, (3) linking issue dependencies, or (4) executing after /plan command completion.
writing-plans
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge