3,111 artifacts
Skills, MCPs, agents, and plugins. Search to find fast, or page through the catalog.
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Local-first, AI-native MCP server for network design automation. Network Sketcher lets LLM clients such as Cursor and Claude Code create Cisco-style network designs, manage device data, and generate L1/L2/L3 topology diagrams (SVG / PowerPoint), combined HTML viewers, device tables, and AI Context files from natural-language workflows.
Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, specifications, and environments via Model Context Protocol (MCP)
npm launcher for the coding-tools-mcp Python MCP server (PyPI). Starts the server via uvx or pipx.
Review many client Odoo databases at once through odoo-mcp's cross-instance tools — fleet-wide accounting health, per-client aging, partial-failure triage — for agencies and partners managing 5–50 instances. Use when the user asks "which client...", "across all instances/databases", or wants a fleet/portfolio status.
Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive remediation through odoo-mcp's gated write workflow. Use when the user asks to "check data quality", "clean up data", "prepare for migration", "find duplicates", or when aggregate answers look suspicious.
Plan and de-risk an Odoo version upgrade (16→17→18→19/20) using odoo-mcp's migration workbench — audit custom addons, classify upgrade-log failures into a worklist, resolve model renames, and preview JSON-2 payloads for the XML-RPC sunset. Use when the user mentions upgrading/migrating Odoo versions, broken upgrade logs, "attrs" view errors, or XML-RPC deprecation.
Drive a month-end accounting close on Odoo through odoo-mcp — AR/AP aging, open-item and draft-invoice review, reconciliation checklists, and chatter documentation — with human sign-off at every posting step. Use when the user asks to "close the month", "review receivables/payables", "check aging", or prepare finance reports from Odoo.
Generate prompts for AI image tools to produce modern ML/RL paper-style figures matching the aesthetic of recent ICLR/NeurIPS/ICML 2024-2025 publications. Key traits — pure white canvas, white panels with soft drop shadow, rounded friendly font (Nunito/Poppins), densely packed but uncluttered floating elements, small pastel token squares, rich inline illustrations, colored keyword text, pill-shaped concept labels. Trigger phrases — "pastel风格论文配图", "现代ML论文配图", "modern ML figure prompt".
Use this skill whenever the user wants to generate detailed English prompts for AI image tools (NanoBanana / Gemini / DALL-E / Midjourney) to produce top-conference-quality academic figures — including framework diagrams, network architecture diagrams, pipeline flowcharts, module detail diagrams, comparison/ablation figures, and data pattern grids — especially when the user says "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academic diagram prompt", or provides a LaTeX/PDF/Word paper and asks for figure prompts. If the user has not specified a color scheme, present the 8 preset palette options and color tool links before generating any prompt.
Add items (research objects) to existing research outline.
Read research outline, launch independent agent for each item for deep research. Disable task output.
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
Repository knowledge engine plugin. Bundles CLI-backed slash commands (rb-setup / rb-init / rb-refresh / rb-ask) plus the agent-repo-init skill. Works in both Claude Code and Codex CLI.
Graph-based RAG system for multi-language codebases. Parse, index, query, and edit code using knowledge graphs and natural language.
Zero-config codebase context for AI agents. One command generates a ~250-token navigation map and auto-configures Claude Code, Cursor, and Aider.
MCP OpenAPI schema explorer
Read, edit, redline, and comment on Microsoft Word .docx files from the command line — built for AI agents.
Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work. Use this whenever the user asks to spin off, offload, or delegate a task to Antigravity, agy, Gemini, or an "external agent"; wants a second opinion or independent review from a different model; wants intensive repo work (audits, large refactors, research sweeps) run in the background while you keep working; or says things like "have Antigravity do it", "spin up a sub-agent for this", or "get more done in parallel". Also use it proactively when a task is a good fit for parallel delegation and the user has expressed a preference for using Antigravity workers.
Generate FieldFlow servers that expose OpenAPI REST APIs as field-filtered tools for HTTP or MCP clients.
Semantic code knowledge graph for Kiro: fewer tool calls, instant symbol lookups, 100% local.
A strict code reviewer, pair programmer, debugger, and mentor for Python, Bash, Google Apps Script, and JavaScript — a security-first, phase-aware engineering discipline with an enforced spec → plan → TDD → verify workflow.
Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.
Create, edit, evaluate, and package Claude Code agent skills — full draft→test→review→improve lifecycle.
MCP server for local LLMs — connects to LM Studio or any OpenAI-compatible endpoint
Per-symbol maintenance optimizer for an agent's skill layer — learns skills from real runs and keeps them by adherence in use, not by an offline eval score.
Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps
Claude Code statusline and quota tracker. Single Bash + jq file, no Node.js, no npm, with pace-aware rate limit tracking.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
The Complete AI Development Toolkit — 114 skills, 37 agents, 216 hooks for full-stack development.
Accessibility patterns for WCAG 2.2 compliance, keyboard focus management, React Aria component patterns, cognitive inclusion, native HTML-first philosophy, and user preference honoring. Use when implementing screen reader support, keyboard navigation, ARIA patterns, focus traps, accessible component libraries, reduced motion, or cognitive accessibility.
AI-assisted UI generation patterns for json-render, v0.app, Google Stitch, Bolt Cloud, and Cursor workflows. Covers prompt engineering for component and full-stack app generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.
Animation and motion design patterns using Motion library (formerly Framer Motion) and View Transitions API. Use when implementing component animations, page transitions, micro-interactions, gesture-driven UIs, or ensuring motion accessibility with prefers-reduced-motion.
ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.
Assesses and rates quality 0-10 across multiple dimensions (correctness, maintainability, security, performance, testability, simplicity) with pros/cons analysis. Compares against project conventions and prior decisions from memory. Produces structured evaluation reports with actionable improvement suggestions. Use when evaluating code, designs, architectures, or comparing alternative approaches.
Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.
Audits OrchestKit sub-agent activation from real spawn telemetry — computes the generic-vs-specialist spawn split, flags dormant agents (never fired), and classifies each as fires/mis-triggered/niche. The agent-side analogue of audit-skills. Use when specialized agents feel under-used, before pruning the catalog, or after wiring new agent spawn paths.
Single-pass codebase analysis leveraging Opus 4.8 1M context for comprehensive security scanning, architecture review, and dependency auditing. Loads entire codebases for cross-file pattern detection and generates structured audit reports with severity-ranked findings. Use when you need whole-project analysis before releases or security reviews.
Audits all OrchestKit skills for quality, completeness, and compliance with authoring standards. Use when checking skill health, before releases, or after bulk skill edits to surface SKILL.md files that are too long, have missing frontmatter, lack rules/references, or are unregistered in manifests.
Intent-classified router — the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request. Takes a plain-English goal, classifies it into one intent category, and routes to the right specialist skill (/ork:fix-issue, /ork:cover, /ork:brainstorm, /ork:implement, /ork:review-pr, /ork:verify, a /goal optimization loop, or the skill-evolution gate). A goal that maps unambiguously to one skill short-circuits straight to it — routing is never overhead, so use it even when you think you know the target skill. Skip only when already executing inside another skill (no recursion). Triggers on: auto, do this, figure out, just make, get it to, I want, help me, fix, build, improve, any goal description.
Run isolated eval and grading calls using CC 2.1.81 --bare mode. Constructs claude -p --bare invocations for skill evaluation, trigger testing, and LLM grading without plugin/hook interference. Use when running eval pipelines, grading skill outputs, benchmarking prompt quality, or testing trigger accuracy in isolation.
OrchestKit security wrapper for browser automation. Adds URL blocklisting, rate limiting, robots.txt enforcement, and ethical scraping guardrails on top of the upstream agent-browser skill. Use when automating browser workflows that need safety guardrails.
Business case analysis with ROI, NPV, IRR, payback period, and TCO calculations for investment decisions. Use when building financial justification, cost-benefit analysis, build-vs-buy comparisons, or sensitivity analysis.
Chain patterns for CC 2.1.71 pipelines — MCP detection, handoff files, checkpoint-resume, worktree agents, CronCreate monitoring. Use when building multi-phase pipeline skills. Loaded via skills: field by pipeline skills (fix-issue, implement, brainstorm, verify). Not user-invocable.