Laravel Prompts - Beautiful and user-friendly forms for command-line applications with browser-like features including placeholder text and validation
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Laravel Prompts - Beautiful and user-friendly forms for command-line applications with browser-like features including placeholder text and validation
Start a Space-Agents session. Displays welcome screen with project status.
Use when creating or modifying code in nomarr/helpers/. Helpers are pure utilities with NO nomarr.* imports. Only stdlib and third-party libraries allowed.
Ensure educational content meets accessibility standards and supports assistive technologies across international contexts.
learning-path-patterns
xr-design for learning technology evaluation and implementation.
Un sistema debe comportarse de manera que minimice la sorpresa del usuario. Si
Cohesive Linear HoTT patterns for interaction entropy with diagram generation. Implements Schreiber's cohesive modalities (♯,♭,ʃ) and Riley's linear modality (♮) for quantum-classical bridging.
Connect to scientific databases (PubMed, Benchling) for protocol queries and biological data analysis with Biopython integration.
Expert assistant for using litdb - a literature and document database for scientific research
Given a LiveLib book URL and a quote fragment, find a matching LiveLib quote URL.
LMS-ESID core architecture including one-class-three-teachers system, course structure, grade levels, role permissions, and database schema. Use this skill when understanding teacher types (LT/IT/KCFS/HT), course relationships, class naming conventions, academic year data, or table relationships.
Master formal and informal logic - valid reasoning, fallacies, paradoxes. Use for: argument analysis, validity, soundness, logical form, fallacies, paradoxes. Triggers: 'valid', 'validity', 'fallacy', 'premise', 'conclusion', 'modus ponens', 'modus tollens', 'paradox', 'logical', 'syllogism', 'deduction', 'induction', 'inference', 'argument form', 'soundness', 'entailment', 'contradiction'.
---name: long-read-sequencing-agent
This directory contains universal agent skills for [Hive](https://hive.rllm-project.com) — a collaborative agent evolution platform.
codeck-design
Edit an existing Power Apps canvas app. USE WHEN the user wants to modify, update, change, or edit an existing Canvas App or pa.yaml files.
Use to manage workflows, compliance, and measurement for customer references.
List all available kind discriminator values from the Copilot Studio YAML schema. Use when the user asks what kinds/types are available.
Search the GitHub issues database for documented known issues, root causes, and mitigations.
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Draft professional emails based on context, tone, and recipient. Use for composing business emails.
Context-aware router that detects work type and dispatches to the right skill. Ships with a minimal default routing table; extend it in your fork with your own skill entries.
Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.
Story brainstorming capture — minimal notes that preserve creative freedom. Use when exploring narrative ideas, discussing characters, planning chapters, or thinking through story possibilities. Supports interactive conversation and autonomous report mode for fan-out exploration.
Use this skill whenever the user wants to install, configure, or use asdf (asdf-vm), the universal version manager. Trigger for any mention of asdf, .tool-versions files, managing runtime versions, switching between versions of Node.js, Python, Ruby, Go, Terraform, kubectl, Java, Erlang, Elixir, or any other tool managed by asdf. Also trigger when migrating from nvm, pyenv, rbenv, goenv, tfenv, or similar single-language version managers. Use this skill for help with asdf plugins, asdf install, asdf set/global/local, troubleshooting shims, Fish/Bash/Zsh shell configuration, and multi-project version isolation workflows.
Win and maintain the Amazon Buy Box. Analyze Buy Box eligibility factors, competitor pricing dynamics, and develop pricing and fulfillment strategies to maximize your Buy Box percentage.
Discover profitable Amazon niches with low competition and high demand. Evaluates niche viability using demand indicators, competition metrics, profit margins, and growth potential.
Comprehensive Amazon profit analysis — revenue breakdown, fee structure, true net margin, and optimization opportunities. Analyzes per-ASIN and portfolio-level profitability including advertising costs, returns, and hidden fees.
Analyze Amazon seller storefronts and product portfolios. Estimate revenue, identify top products, assess growth trajectory, and uncover strategy patterns. Useful for competitive intelligence and market research.
Discover trending products and rising categories on Amazon. Analyzes Best Seller Rank (BSR) patterns, new release momentum, seasonal trends, and emerging niches. Helps identify product opportunities before they peak.
Manage parallel development across ALL projects using git worktrees with Claude Code agents. Each worktree is an isolated copy of the repo on a different branch, stored centrally at `~/tmp/worktrees/`
Structured ideation methods for scientific research: SCAMPER, Six Thinking Hats, Morphological Analysis, TRIZ, Biomimicry, and 4 more techniques. Decision framework for choosing methods by challenge type (stuck, improving existing, systematic exploration, contradiction resolution). Use when generating research ideas, exploring interdisciplinary connections, or challenging assumptions.
Query ChEMBL bioactive molecules and drug discovery data using the Python SDK. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki, EC50), find inhibitors for targets, perform SAR studies, and access drug mechanism/indication data for medicinal chemistry research.
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop data-driven pricing strategies.
Set up competitor price tracking and monitoring workflows. Track price changes, detect promotions, analyze pricing patterns, and get alerts for competitive price movements.
Systematic CRO for e-commerce stores. Audit conversion funnels, identify drop-off points, implement fixes, and run experiments to increase revenue per visitor across all platforms.
Product research for dropshipping businesses. Identify profitable products with reliable suppliers, healthy margins, and manageable competition. Evaluates shipping times, return risk, and marketing viability.
Create a comprehensive e-commerce business plan. Market analysis, financial projections, marketing strategy, operations planning, and milestone roadmap for new or growing e-commerce businesses.
Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. Analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities.
Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.
Design and launch subscription-based e-commerce businesses. Subscribe-and-save, membership boxes, replenishment models, pricing tiers, and churn reduction strategies.