AI & ML
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
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dparedesi Bundle Save ContextSave session context for agent handoffs. Use when ending work, switching agents, or when user says "save context", "handoff", "wrap up", or "save session".
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dparedesi Bundle Skill BuilderCreate, evaluate, and improve Agent skills to production quality (100/100). Use when the user wants to create a new skill, review an existing skill, score a skill against best practices, or improve a skill's quality. Also use when the user mentions skill development, skill templates, or skill optimization.
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captaincrouton89 Skill Writing Documentation For LlmsTeaches how to write effective documentation and instructions for LLMs by assuming competence, using progressive disclosure, prioritizing examples over explanations, and building feedback loops into workflows.
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linehaul-ai Skill Wiki Llms TxtGenerates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.
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linehaul-ai Skill Wiki Agents MdGenerates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.
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anysiteio Bundle Anysite MonitorBuild and run recurring monitoring on the Anysite MCP, delivering ONLY new or changed items each run by diffing against a persistent "seen ledger". Owns the onboarding: interviews the user about the decision the monitor should support, then searches the live Anysite catalog for endpoints that serve it, verifies each with a real call, and compiles them into a self-contained monitor config. No preset source list — sources are discovered per monitor. Use whenever someone wants to monitor, track, watch, configure monitoring, or get daily or weekly updates on anything Anysite can reach — companies, people, jobs, pricing pages, posts, news, reviews, listings, prices — e.g. "monitor X every day", "track changes in", "only show me what's new", "alert me when", "set up a recurring check", "help me configure monitoring", "настроить мониторинг", "мониторить конкурентов", "отслеживать изменения", "только новое", "раз в день". Also use it when a saved monitor fires on a schedule. For accounts that live in a connected CRM,
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arabold Skill Docs ManageManage the Grounded Docs MCP Server documentation index. Covers scraping and indexing documentation from URLs or local files, refreshing existing indexes with changed content, and removing libraries from the index. Use when you need to add, update, or delete indexed documentation.
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arabold Skill Docs SearchSearch and query the Grounded Docs MCP Server documentation index. Covers listing indexed libraries, searching documentation content, and resolving library versions. Use when you need to look up API references, find code examples, or check which documentation is available in the local index.
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anysiteio Skill Anysite MCP MigrationMigrate anysite MCP skills, prompts, and agent instructions from v1 (individual tools like search_linkedin_users, get_linkedin_profile) to v2 (universal meta-tools execute, discover, get_page, query_cache, export_data). Automatically rewrites tool references, adds pagination/filtering/export capabilities, and validates migrated output. Use when users need to update existing skills or prompts for the new anysite MCP v2 API, convert old tool calls to execute() format, or adapt workflows to use new v2 features like server-side filtering and data export.
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anysiteio Bundle Anysite Trend AnalysisDiscover and track emerging trends across Twitter/X, Reddit, YouTube, LinkedIn, and Instagram using anysite MCP server. Identify viral content, monitor topic momentum, detect trending hashtags, analyze search patterns, and track industry shifts. Supports multi-platform trend detection, sentiment analysis, and momentum tracking. Use when users need to identify emerging trends, track viral content, monitor market shifts, discover trending topics, or analyze social media conversations for strategic insights.
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anysiteio Bundle Anysite Brand ReputationMonitor brand reputation and sentiment across Twitter/X, Reddit, Instagram, YouTube, and LinkedIn using anysite MCP server. Track brand mentions, analyze customer sentiment, monitor social conversations, identify reputation issues, and measure brand health. Supports social media listening, sentiment analysis, mention tracking, and crisis detection. Use when users need to monitor brand mentions, track customer sentiment, identify reputation risks, analyze brand perception, or measure social media presence and brand health across platforms.
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damusix Bundle Idef1xUse when designing, reviewing, or normalizing an IDEF1X data model, or running a phased information-modeling project — entities, key migration, identifying vs nonidentifying, subtype clusters, domains, and what the notation implies.
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pandazki Bundle Pneuma WordtasteA goal-driven Chinese long-form writing partner. Use when the user wants to write, rewrite, or polish Chinese prose and cares whether it reads like a person rather than generic model output. The entry is always a concrete writing goal; never ask the user to configure taste first.
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likweitan Skill Cds View EntitiesHelp with CDS (Core Data Services) view entity development including data modeling, annotations, associations, compositions, access controls, aggregate expressions, built-in functions, and input parameters. Use when users ask about CDS views, CDS view entities, CDS annotations, CDS associations, CDS compositions, CDS access control, CDS metadata extensions, data modeling in ABAP, define view entity, define root view entity, semantic annotations, UI annotations, or building CDS data models for RAP or analytical scenarios. Triggers include "create a CDS view", "define view entity", "add an association", "CDS annotation", "access control", "composition", "CDS hierarchy", "CDS aggregate", "CDS functions", or "data model".
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danieldekay Bundle LLM WikiBuild and maintain a persistent, compounding LLM wiki — a structured collection of interlinked markdown pages that sits between you and raw sources. Implements the Karpathy LLM Wiki pattern: the LLM incrementally reads sources, integrates knowledge into wiki pages (not re-derives it on every query), and files answers back so knowledge compounds over time. Three core operations: INGEST a new source into the wiki, QUERY the wiki and file the answer back, LINT the wiki for health. Integrates with Zettelkasten MCP for atomic cross-domain notes, plus web search, Semantic Scholar, and the workspace's existing log.md and inbox. Distinct from wiki-builder (which scaffolds wikis) — this skill is the ongoing methodology: how to operate an LLM wiki once it exists. Use when: "build an LLM wiki on", "ingest this source into my wiki", "query my wiki about", "lint my wiki", "set up a wiki for [topic]", "add this to my wiki", "file this answer", "wiki is getting stale", "expand my wiki", "start a knowledge base that compound
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danieldekay Skill RaindropStore and retrieve bookmarks in Raindrop.io using the Raindrop MCP server. Use when saving research sources, PDFs, articles, or any URL encountered during work. Also use when searching or browsing existing bookmarks by tag, text, or collection.
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danieldekay Bundle Wiki BuilderBuild and maintain topic-scoped "LLM knowledge bases" — structured agent-maintained wikis for deep-diving a single topic (paper, framework, person, project, domain). Scaffolds a folder with wiki.config.md, raw/, prompts, and sources.md in one command. Compiles raw source material into organized wiki pages, files Q&A answers back into the wiki, and runs maintenance passes to find thin pages and missing links. Works standalone (flat markdown) or integrated with zettelkasten-mcp (compiled pages become ZK notes tagged with the wiki topic). Inspired by DAIR.AI's Wiki Builder plugin, adapted for VS Code + GitHub Copilot. Triggers: "start a wiki on", "build a knowledge base about", "create topic wiki", "wiki for this paper", "deep dive into X", "research wiki", "compile this into a wiki", "knowledge base for project", "file this answer", "lint my wiki", "wiki-builder".
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danieldekay Bundle Token EfficiencyAudits, scores, and rewrites AI configuration files to maximize token efficiency with zero behavior loss. Use when asked to optimize, compress, or reduce tokens in copilot-instructions.md, AGENTS.md, .github/instructions/*.md, .github/copilot-instructions.md, .github/agents/*.agent.md, skills/*/SKILL.md, or any system prompt / AI instruction file. Runs a 4-phase workflow: inventory → waste detection → rewrite → measure. Triggers on: "reduce tokens", "optimize instructions", "compress prompt", "too verbose", "token budget", "shrink system prompt", "refactor copilot config", "clean up instructions".
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danieldekay Bundle Zettelkasten MCPBuild and manage a networked knowledge base (second brain) using the Zettelkasten method with the zettelkasten-mcp MCP server. Use when creating atomic notes, linking ideas, searching the knowledge graph, building Maps of Content (MOCs), capturing research, processing meeting notes, or running knowledge maintenance. Includes installation from the GitHub repo via uvx, mcp.json configuration, full MCP tool reference, note type taxonomy, semantic link types, and Luhmann's methodology. Triggers: "zettelkasten", "second brain", "atomic note", "knowledge graph", "create note", "link ideas", "zk_create_note", "install zettelkasten-mcp", "MCP config", "note taking", "Luhmann", "slip box", "build knowledge base", "literature note", "permanent note".
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danieldekay Skill Copilot Setup CoachProgressive VS Code + GitHub Copilot setup coach. Interviews the user and/or scans their workspace to determine their current maturity level, then guides them through one small, high-value improvement at a time. Covers the full stack: Copilot license, extensions, global and scoped instructions, prompts, custom agents, skills, MCP servers, and governance workflows. Maintains session continuity via Zettelkasten notes between conversations. Use when starting a new setup, stuck on what to configure next, onboarding a colleague, or doing a periodic health check. Triggers: "help me set up Copilot", "what should I configure next", "copilot setup", "onboard me to Copilot", "improve my AI setup", "set up GitHub Copilot", "what MCP should I install", "show me what to do next", "copilot health check", "audit my Copilot setup", "next improvement".
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danieldekay Bundle Dk Flavored Spec KitShared knowledge base for the dk.speckit.* agent family. Defines evidence-first execution, risk classification, pushback protocol, verification strategy, and artifact contracts. Agents reference this skill to stay DRY — philosophy and formats live here, agent files focus on workflow.
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danieldekay Bundle Copilot Control Plane ArchitectureBuild, review, refactor, and operationalize a GitHub Copilot customization control plane in a repository. Use when users ask how `.github/copilot-instructions.md`, `.github/instructions/*.instructions.md`, `.github/prompts/*.prompt.md`, `.github/agents/*.agent.md`, and `.github/workflows/*.yml` should interact, or when they ask to create or update these files directly (for example: "create a new agent", "save this as prompt", "add scoped instructions", "add a governance workflow", "create new prompt", "create new instructions file", "edit prompt", "edit instructions file").
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damusix Skill Optimize Skill PerformanceRun task evals, analyze results, diagnose failures, apply targeted fixes, and re-run to verify improvements. Use when debugging evaluation scores, fixing failing or regressed criteria, analyzing why eval criteria pass or fail, reviewing eval rubric quality and redundant criteria, tracking before/after score improvements, editing plugin content to fix specific failing behaviors, or improving agent performance based on eval evidence.
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damusix Skill Compare Skill Model PerformanceRun task evals across multiple Claude models, compare results side-by-side, and optimise. Use when you want to benchmark a skill across models, compare haiku vs sonnet vs opus performance, run multi-model comparison or benchmark reports, identify model-specific gaps versus universal plugin gaps, evaluate whether a skill works for all model tiers, or validate a skill before publishing it to the registry.
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ssdeanx-agentstack Bundle MCP IntegrationThis skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
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ssdeanx-agentstack Bundle Agent DevelopmentThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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keboola-ai-kit Bundle Dataapp DevelopmentUse when building, modifying, deploying, or debugging Keboola Apps (Streamlit or Python/JS). Covers the full lifecycle — choosing app type, configuring keboola-config/, storage access (RO workspace, RW Query Service, input mapping), authentication, DuckDB caching for performance, default Keboola styling, dashboard patterns, optional Kai chat integration, and the three client paths (MCP-only, Claude Code with filesystem, kbagent CLI).
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davesteadman Bundle Gen2basicanalysisAnalyze mined domain logs over a timeframe (YYYY, YYYY/MM, or YYYY/MM/DD) using an LLM prompt, and write analysis output to datastore3 02-Analysis via CommonCode FolderNavigator.
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davesteadman Bundle Gen2reportanalysisAnalyze mined domain logs over a timeframe (YYYY, YYYY/MM, or YYYY/MM/DD) using an LLM prompt, then write a structured markdown report with paragraph-number table of contents to datastore3 02-Analysis via CommonCode FolderNavigator.
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xi-kari Bundle Crossframe MaxUse when the user explicitly invokes crossframe-max, /crossframe-max, $crossframe-max, maximum CrossFrame mode, exhaustive structural projection, full-scale world-model interpretation, no word-limit complete explanation, or v6 meta-runtime design review for skills, prompts, agents, tools, templates, scripts, and runtime protocols. explicit-only.
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micaelmalta Bundle RlmProcess large codebases (100+ files) using the Recursive Language Model pattern. Treats code as an external environment, using parallel background agents to map-reduce complex tasks without context rot.
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micaelmalta Bundle SetupConfigure MCP (Model Context Protocol) servers for Claude or Cursor. Use when the user runs /setup, wants to add Atlassian, Datadog, or Playwright MCP, or set up API keys for MCP connections.
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otrebu Skill Code ReviewOrchestrate parallel code review using specialized reviewer agents. Spawns 11 reviewers in parallel, synthesizes findings, and presents for triage. Use when user wants comprehensive multi-agent code review.
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otrebu Skill Run Guide And FixWalk through a milestone GUIDE.md with agent-browser, testing every step. Fixes code bugs and guide inaccuracies as they're found. Use when user asks to "test the guide", "run guide and fix", "validate guide", or "run-guide-and-fix".
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otrebu Bundle Ralph Prompt AuditAudit and repair aaa ralph command examples in this repo's prompts using LLM-as-judge backed by the live CLI command table. Use when user asks to find prompt drift, stale Ralph commands, or sync prompt examples with current CLI syntax.
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unix2dos Bundle Learnlm Inspired TutorOnly invoke when explicitly requested via $learnlm-inspired-tutor or the exact skill name; do not auto-trigger. A model-agnostic, unofficial tutor based on Google's LearnLM learning principles.
Frequently asked questions
What are AI & ML agent skills?
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
Which AI & ML skills are most installed?
Popular AI & ML skills on SkillMD right now include anysite-brand-reputation, idef1x, setup. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do AI & ML skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.