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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ctaxnagomi Bundle HandoffHand off context from one agent session to another without losing state. Use when a session is running out of context, work needs to continue in a fresh session, or transitioning between agent roles.
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ariffazil Bundle WargaWarga (citizen) agent skills for AAA federation members. See subdirectories for specialized warga skills.
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ariffazil Skill Causal555 PywhyCausal inference bridge — PyWhy/DoWhy integration for 555-ASI causal reasoning.
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ariffazil Bundle Forge Spatial GroundingEmbed VPS spatial context in agent configs — prevents spatial amnesia and SSH confusion. Grounds agents in af-forge VPS reality
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ariffazil Bundle 999 Vault Seal ImmutableSeal action to civilizational memory with mandatory end-of-session recursive MCP stack hardening and future INIT scaffold. VAULT999 record. Stage 7
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sboghossian-mini-claude-for-legal Skill Import Skill Creator AnthropicUse when migrating a skill-creation or skill-authoring workflow originally built for the Anthropic Claude API into the mini-claude-for-legal format. The adapter maps legacy Anthropic skill-generation prompts — SKILL.md templating, frontmatter generation, body structure selection, and quality validation — into the standard skill model for the open-source repository. Triggers when importing a prompt-engineering or skill-factory tool from an Anthropic-native context.
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pingqlin Skill AgentsCustom Agent File Guidelines
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pingqlin Skill PromptCopilot Prompt Files Guidelines
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pingqlin Skill Agent SkillsAgent Skills File Guidelines
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pingqlin Skill Go MCP ServerGo MCP Server Development Guidelines
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pingqlin Skill Ruby MCP ServerRuby MCP Server Development Guidelines
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pingqlin Skill Rust MCP ServerRust MCP Server Development Best Practices
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pingqlin Skill MCP M365 CopilotMCP-based M365 Copilot Development Guidelines
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pingqlin Skill Swift MCP ServerSwift MCP Server Development Guidelines
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pingqlin Skill Csharp MCP ServerC# MCP Server Development
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pingqlin Skill Kotlin MCP ServerKotlin MCP Server Development Guidelines
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pingqlin Skill Python MCP ServerPython MCP Server Development
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pingqlin Skill Pcf Model Driven AppsCode Components for Model-Driven Apps
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pingqlin Skill Typescript MCP ServerTypeScript MCP Server Development
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pingqlin Skill Power Platform MCP DevelopmentPower Platform MCP Custom Connector Development
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pingqlin Bundle Delegation SkillSplit review work across the main reviewer and explorer agent.
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rlaope Bundle Omh Decide 2[omh] Decide between options: tradeoffs, a recommendation, and a decision note you can act on. Use when the user says: strategy-brief, strategy brief, strategy memo, product strategy, strategic options, decision note, leadership strategy, next strategy.
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rlaope Bundle Ulw Context 2[omh] Project terminology alignment workflow: look up, capture, correct, and align the words a repository uses before planning or handoff. Use when the user says: ulw-context, project terminology alignment, review project terms, align project terminology, terminology this project uses.
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rlaope Bundle Ulw Research 2[omh] Deep research engine - grounding for specs and decisions: study open-source reference implementations with pinned refs, gather live web evidence with citation discipline, verify contested claims, and distill a decision-grounding dossier that planning consumes; for a decision brief use research-brief, for upstream guidance use best-practice-research. Use when the user says: research plan, literature review, research literature, review recent papers, deep research, deep-research, exhaustive research, saturation research.
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rlaope Skill Omh Jit Learn 2[omh] Just-in-time learning workflow: select and confirm an immediate learning target, research credible sources, and prepare an application-first brief without popularity ranking. Use when the user says: jit-learn, learn next, learn now, blocker-specific learning target, highest-leverage learning target, immediate learning payoff, immediately applicable learning brief, source-backed learning brief.
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rlaope Skill Omh Memory New 2[omh] Capture one bounded durable project or product memory candidate through explicit remember, refuse, or defer review; for existing Hermes memory use omh-memory-sync, and for a past decision use decision-recall. Use when the user says: memory-new, new memory, project memory, product memory, remember this project, remember this product, do not save, do not save this token.
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rlaope Skill Omh Ops Review 2[omh] Hermes Ops Review workflow: status, risks, blockers, priorities, and follow-ups. Use when the user says: ops-review, ops review, weekly ops review, status review, operating review, release risks, risks and blockers, priorities.
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rlaope Skill Omh People Ops 2[omh] Turn hiring and people context into a fair, structured recruiting or people-operations brief. Use when the user says: recruiting plan, hiring scorecard, interview scorecard, candidate debrief, 채용 계획, 면접 평가표, 후보자 비교.
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rlaope Skill Omh Image Cards 2[omh] Image prompt cards - turn meetings, reports, PRs, issues, research, and releases into domain-aware image prompt cards. Use when the user says: img-summary, img summary, visual prompt card, image card, image generation, image edit, edit this image, remove the background.
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rlaope Skill Omh Media Input 2[omh] User-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says: media-input-operator, media input operator, media input, audio transcription, audio transcript, transcribe audio, transcribe this audio, meeting recording.
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rlaope Skill Omh Voice Input 2[omh] Terse voice and mobile-style requests - turn short spoken-style asks into clarify, plan, status, handoff, or confirmation actions. Use when the user says: voice-operator, voice operator, voice-first, voice command, mobile command, short command, dictated command, dictated request.
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rlaope Skill Omh Web Research 2[omh] Web lookup lane - settle a current-facts question in one cited retrieval round with retrieval dates and source-quality notes; for pre-spec grounding across reference implementations use `research`. Use when the user says: web-research, web research, web search, search the web, internet search, look up, look up sources, latest sources.
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rlaope Skill Omh Meeting Brief 2[omh] Hermes Meeting Brief workflow: agenda, prompts, decisions, and record template. Use when the user says: meeting-brief, meeting brief, meeting agenda, agenda, discussion prompts, decisions needed, record template, meeting topics.
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rlaope Skill Omh Source Finder 2[omh] Source candidate inventory - prepare typed source candidates and acquisition status before downstream work; use ulw-research to fetch and cite them, or research-brief to turn them into a decision-ready brief. Use when the user says: source-finder, source finder, source acquisition, source intake, find papers and datasets, find datasets and repos, find papers, find arxiv link.
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rlaope Skill Omh Paper Learning 2[omh] Hermes Paper Learning workflow: explain a supplied paper or paper/PDF at a selected level while preserving full section coverage and source evidence boundaries. Use when the user says: paper-learning, paper learning, paper-explainer, paper explainer, paper explanation, explain this paper, explain this arxiv paper, paper walkthrough.
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rlaope Skill Omh Research Brief 2[omh] Business research brief - turns a market, competitor, pricing, or customer question into a structured evidence-vs-inference brief; for raw link gathering use ulw-research, and for ongoing multi-role research use research-department. Use when the user says: research-brief, business-research, business research, research brief, decision brief, pricing decision brief, decision-ready brief, source-backed business research.
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 handoff, warga, causal555-pywhy. 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.