15 skills found
humanlayer / humanlayerThe best way to get AI coding agents to solve hard problems in complex codebases.
datalayer / langchain-mcp-client🦜🔗 LangChain Model Context Protocol (MCP) Client
syahiidkamil / Software-Engineer-AI-Agent-AtlasATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native plan/goal/workflow loop build. Fewer tokens, less ceremony, faster to what people pictured. KISS/YAGNI/DRY, context decides.
Nikolai-Iakubovskii / app-paywall-pilotA framework for designing App Store-compliant subscription paywalls. 4 layers: AI skill (Claude/GPT/Cursor) + knowledge base (79 sourced benchmarks) + Python LTV tool + docs. 20-concept academic foundation (Kahneman + Layer 2).
EverMind-AI / EverOSOne portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
CreatmanCEO / ai-context-hierarchyThree-level context hierarchy for AI coding agents — featured in Graphify v5.0 roadmap. Stop re-explaining your codebase every session. Works with Claude Code, Cursor, Codex, Gemini CLI, Claude Desktop.
i3T4AN / Vector-Knowledge-BaseA semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI
kerbelp / metatronGit-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn.
iblai / ontologyOn-premise knowledge layer that makes an organization's existing systems (PeopleSoft, Snowflake, Canvas, Salesforce, …) queryable by AI agents over MCP — no data extraction, your data stays in your network.
datalayer / jupyter-mcp-server🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
yvgude / lean-ctxControl what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt.
cheriftj / c4-model-skillInteractive Claude Code skill for C4 architecture diagrams (Simon Brown's model) — mode-driven workflow with Mermaid / Structurizr / PlantUML output and filesystem or MCP (Notion / Linear / Drive) destinations.
Nlkomaru / 00_basicユーザーはClaudeよりプログラミングが得意ですが、時短のためにClaudeにコーディングを依頼しています。 2回以上連続でテストを失敗した時は、現在の状況を整理して、一緒に解決方法を考えます。 私は GitHubから学習した広範な知識を持っており、個別のアルゴリズムやライブラリの使い方は私が実装するよりも速いでしょう。ユーザーに説明しながらコードを書きます。
EnesMeyzin98 / decision-supportMaintain or extend the advisory decision-support layer that structures signal fusion, external context, AI validation, probabilistic edge, pipeline stage, and supervisor readiness without changing execution behavior
gaopengbin / openlayers-mcpAI-powered OpenLayers map control via Model Context Protocol (MCP). 30+ tools for view, layer, feature, overlay, interaction, style, and draw operations.
