ai-project-learnerGenerate a concept dependency graph for AI projects. Identifies what you need to learn, in what order, adapted to project complexity.
Install via ClawdBot CLI:
clawdbot install wms2537/ai-project-learnerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://ai-project-learner.swmengappdev.workers.dev/chargeCalls external URL not in known-safe list
https://ai-project-learner.swmengappdev.workers.dev/chargeAI Analysis
The skill requires a POST request to an external, user-controlled endpoint for payment authorization, which is a potential data sink. While this may be legitimate for billing, the endpoint is not a known, vetted payment processor and its security posture is unknown, creating a risk of credential harvesting or data exfiltration if compromised.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Students building a beginner-level chatbot for a class assignment, needing a structured learning path to understand LLM basics and API integration. The skill helps them identify foundational concepts like prompting and tokens before moving to implementation.
A small tech startup creating an intermediate RAG-based customer support assistant, requiring guidance on combining embeddings, vector databases, and agent architectures. The skill maps out prerequisites to avoid knowledge gaps in data pipelines.
A large corporation implementing an advanced fine-tuned LLM for legal document analysis, needing a detailed graph covering training techniques, MLOps, and safety measures. The skill adapts to complex dependencies like RLHF and deployment strategies.
An independent developer working on a multimodal AI app for generating art from text, requiring concepts in both NLP and CV domains. The skill provides a tailored order to learn APIs, embeddings, and generative models efficiently.
Academics developing an intermediate multi-agent simulation for social science studies, needing to understand planning, tool use, and memory architectures. The skill outlines prerequisites to ensure logical progression in agent workflows.
Charges $0.01 USDT per analysis call via SkillPay.me, ideal for occasional users like students or freelancers. Revenue scales with usage without upfront costs, making it accessible for small projects.
Offers monthly or annual plans with bulk discounts for corporations needing frequent analyses, such as for team training or ongoing AI development. Provides predictable revenue and supports advanced features like custom domain integrations.
Licenses the skill to educational platforms or development tools that embed it as a learning module. Generates revenue through one-time fees or royalties, expanding reach to institutional users.
💬 Integration Tip
Ensure the SKILLPAY_API_KEY is securely stored in environment variables and validate user project descriptions to accurately assess complexity and domain before generating the graph.
Scored Jun 19, 2026
AI tutoring and education powered by CellCog. Study guides, exam prep, coding tutorials, language learning, math help, science explanations, practice problems — every subject, every level. Explains concepts via diagrams, analogies, worked examples, and interactive lessons.
Generate study materials. Use when creating study plans, quizzes, flashcards, tracking progress, or scheduling review sessions.
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系统化知识内化与能力自评引擎。当需要深入学习新领域、建立专家级知识库、并明确知道自己的掌握程度时使用。核心功能包括系统性知识内化引擎和基于知识图谱的能力评级器。触发词:深入学习并评估掌握水平、建立专家级知识库、系统研究并告诉我能做什么。