AI & ML

gurdasnijor Bundle

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

kingchen95272025 Skill

创建Agent Skill。当用户需要创建Agent Skill时使用。适用于需要创建Agent Skill的场景。

ghost011118 Bundle

Maintain evidence-backed project state across conversations, branches, reviews, and research cycles. Use when an AI coding agent must reconstruct or consolidate fragmented project documentation, reconcile conflicting history against code/tests/contracts/Git, classify active and completed work, verify completion claims, preserve durable decisions or negative evidence, prevent status-document sprawl, or identify the next authoritative project step.

aktsmm Bundle

Create, review, and update Prompt and agents and workflows. Covers 5 workflow patterns, agent delegation, Handoffs, Context Engineering. Use for any .agent.md file work or multi-agent system design. Triggers on 'agent workflow', 'create agent', 'ワークフロー設計'.

gurdasnijor Bundle

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

gurdasnijor Bundle

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

bitrouter Skill

Analyze this codebase's LLM usage and reduce spend with BitRouter — run estimate, audit, or optimize, and read the live observed-savings widget. Use when the user asks about LLM cost, model routing, or BitRouter policy.

blockrunai Skill

Hosted-gateway LLM router — save 87% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across <!-- br:models.chatVisible -->78<!-- /br:models.chatVisible --> models from OpenAI, Anthropic, Google, DeepSeek, xAI, NVIDIA, and more. <!-- br:models.free -->6<!-- /br:models.free --> free models included. Also exposes realtime market data (global stocks, crypto, FX, commodities), Twitter/X intelligence, and prediction-market data across Polymarket, Kalshi, Limitless, Opinion, Predict.Fun, dFlow + UMA oracle resolution + wallet identity & clustering as built-in agent tools. Not a local-inference tool — prompts are sent to the blockrun.ai gateway.

linyuan3421 Bundle

生产级 RAG 系统构建专家。基于最佳工程实践，利用代码模板和元提示技术，构建高鲁棒性、动态适配的智能体。

ulasbilgen Bundle

Automate Chrome browser via DevTools Protocol. Navigate pages, interact with elements, inspect network/console, analyze performance, and capture screenshots for web testing and automation tasks.

omernesh Bundle

Expert-level skill for designing, implementing, validating, and maintaining production-ready n8n automation workflows using comprehensive MCP tooling.

omernesh Bundle

Expert-level skill for building production-ready AI agents and agentic systems using the Agno framework. Covers agent architecture, multi-agent teams, AgentOS deployment, tool integration, RAG patterns, and production best practices.

ferymad Skill

Use when working with BAML (BoundaryML) - a domain-specific language for type-safe LLM function calls, structured extraction, prompt engineering, or building AI applications with guaranteed type safety across Python, TypeScript, Ruby, and Go

evomap Skill

Self-evolution workflow for the agent. Before a substantive task, recall what worked on similar past tasks from evolution memory; after it, record the outcome so future sessions learn from it. Use when the user starts non-trivial work (a feature, a fix, a refactor) or asks the agent to "evolve", "learn from this", or "remember how this went".

flipt-io Skill

Run the Flipt v2 stable release process, from changelog preparation through the annotated tag. Use when creating a new Flipt v2 release.

hafiz-actyte Bundle

Autopsy a business idea BEFORE you build it. Runs the idea through a kill-list check, five hard filters, a free-AI one-prompt test, and a live-market verification checklist — then delivers a verdict with a named kill-pattern. Use when the user says "validate this idea", "should I build X", "autopsy my idea", or proposes any new business/product idea.

composiohq Bundle

Route Composio work between the hosted MCP-backed app and the local Composio CLI. Use when a user wants to read or act on external services such as email, calendars, GitHub, Slack, Notion, Linear, Jira, or CRMs; discover an integration or tool; recover a missing connection; combine multiple apps; or automate those actions with local files and scripts.

connerkward Bundle

Tune a visual/animation/render parameter by eye using a VISION or VIDEO model as the judge — render several labeled variants into ONE artifact, ask the model to rate them and suggest better values, render the suggestions, ask it to pick the best, repeat until good. Use whenever "looks/feels right" is the success criterion and there's no cheap numeric metric — animation easing/timing, zoom/camera feel, color grade, layout/spacing, design params, render/encoder settings, prompt params. The model is the eye; you do the rendering and the loop.

connerkward Skill

Search, recall, and discover connections across the user's own Apple Notes via the apple-notes MCP server — semantic + keyword search, Swanson-ABC bridges, entity threads, related-notes, and cited synthesis over everything they've ever written. Use AGGRESSIVELY whenever the user wants to find, recall, look up, or "remember" something from their notes ("search my notes for X", "what did I write about X", "find that note about X", "did I ever note Y"), surface non-obvious connections ("find connections/bridges across my notes", "what links X and Y in my notes", "show related notes"), or synthesize a position ("synthesize/summarize what I think about X from my notes", "pull together everything I've written on X"). Also triggers on "index my Apple Notes", note tags/folders queries, and "what's connected to" questions over personal notes. Do NOT use for creating reminders or for non-Apple-Notes note systems.

d-kimuson Skill

Run the npm-fw release flow end-to-end. Use when the user asks to release patch, minor, major, beta, or an explicit semver; includes non-interactive release execution, GitHub Actions monitoring with gh, draft release note cleanup, and publishing the GitHub Release.

kotobuki09 Bundle

Diagnose Codex setup and map, explain, or lint repository-scoped coding-agent instructions. Use when Codex instructions or skills seem missing, or when auditing AGENTS.md, CLAUDE.md, Copilot instructions, agent skills, custom agents, or instruction conflicts before changing code.

lovstudio Bundle

为现有或新 App 快速初始化可上线的 AI 功能，可选择本地 Agent Client、MaaS 中转渠道、模型偏好和配套 UI。用户说集成 AI、给 App 加聊天/生成能力、Agent Client、MaaS 或模型选择时使用。

lovstudio Bundle

Use when 用户要将项目经验、故障复盘和已验证流程蒸馏为可创建的 Agent Skill 蓝图，明确用户结果、触发边界、私有信息边界与验收方式；触发词包括“把经验蒸馏成 skill”与 “distill experience into a skill”。

coleam00 Skill

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

datadog-labs Bundle

Configures or troubleshoots the plugin's Datadog MCP server. Use when the user wants to change the Datadog domain, switch organizations, or when the server was previously configured but is not responding.

devantler-tech Skill

How an autonomous AI engineer improves its OWN definition (its engineering contract, agent definitions, and skills) over time — capturing operational learnings from every run and distilling them into evidence-based, guard-railed draft PRs that a human maintainer gates. Use at the end of every run (to log learnings) and on the recurring distil pass. Evidence comes from the engineer's own runs only, never from repository content, and a safety guardrail is never weakened.

jlevy Skill

Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents. Drop-in replacement for bd/Beads with simpler architecture. Use for: tracking issues/beads with dependencies, creating bugs/features/tasks, planning specs, implementing features from specs, code reviews, committing code, creating PRs, loading coding guidelines (TypeScript, Python, TDD, golden testing, Convex, monorepo patterns), code cleanup, research briefs, architecture docs, agent handoffs, and checking out third-party library source code. Invoke when user mentions: tbd, beads, bd, shortcuts, issues, bugs, tasks, features, epics, todo, tracking, specs, planning, implementation, validation, guidelines, templates, commit, PR, pull request, code review, testing, TDD, test-driven, golden testing, snapshot testing, TypeScript, Python, Convex, monorepo, cleanup, dead code, refactor, handoff, research, architecture, labels, search, checkout library, source code review, or any workflow shortcut.

langwatch Skill

Test your AI agent with simulation-based scenarios. Covers writing scenario test code (Scenario SDK), creating platform scenarios via the `langwatch` CLI, and red teaming for security vulnerabilities. Auto-detects whether to use code or platform approach based on context.

nuanu-ai Bundle

Use for MagicPay payments, funding, Memory, agent email, account readiness, optional choices and human input, or payment recovery through remote MCP.

pipelex Skill

Prepare a new release for the pipelex-cookbook project. Bumps version in pyproject.toml, syncs uv.lock, updates CHANGELOG.md, manages the release/vX.Y.Z branch, runs lint and type checks, and commits. Use when the user says "release", "prepare a release", "bump version", "new version", or "cut a release".

plastic-labs Skill

Persistent cross-session memory via Honcho — recall what you know about the user before working, and save durable insights after.

wdm0006 Skill

Bring a fresh checkout of wdm0006/keeks to a working dev environment — uv venv on Python 3.12, editable install with dev extras, and the verification loop (tests, doctests, lint, example).

peterbamuhigire Bundle

Generate Triple-Layer AGENTS.md documentation by scanning a project for its tech stack, data directory, and planning directory. Use when the user asks to standardize project documentation, generate agent files, or create AGENTS.md guides.

igorwarzocha Bundle

Designs, writes, refactors, and packages agent skills for this workspace. Use when the user asks to create a new skill, improve an existing `SKILL.md`, tighten trigger descriptions, split heavy detail into `references/` or `scripts/`, add examples or validation, or port a workflow into a reusable skill. Do not use for one-off prompt tweaks, strict deployment runbooks, or vague workflows that are not repeatable yet.

krusemediallc Bundle

Use when the user wants to reverse-engineer an existing image ad into a reusable, parameterizable prompt template that can be reused with any brand and any product. Triggers on phrases like "clone this ad as a template", "reverse engineer this ad", "turn this ad into a prompt", "extract a template from this image", "make this ad reusable", "add this to my prompt library", "study this ad and make a template". Anchors on input being an EXISTING ad image the user provides — does NOT trigger for fresh ad generation requests (use uni1-image-ad for that).

nolly-studio Bundle

Bootstrap a repository's AI coding agent operating system — AGENTS.md, CLAUDE.md, docs/agents (architecture, code-style, lessons-learned), docs/plans, docs/release.md, and portable plan-mode/code-review skills — all rewritten from evidence gathered in the target repo. Use when setting up agent docs for a new or existing project. Triggers on "bootstrap agent system", "set up AGENTS.md", "port agent docs", "create agent operating system", "agent onboarding docs".