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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zuoguyoupan2023 Bundle Hypothesis GenerationStructured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
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zuoguyoupan2023 Skill Do CompetitivelyExecute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
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zuoguyoupan2023 Skill Launch Sub AgentLaunch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
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zuoguyoupan2023 Skill Pkulaw MCP Opinion Citation Check法律意见书、法律备忘与合规结论出具前的引用核验工作流,用于把草稿中的法规引用整理成一份可签发前复核的核验底稿,覆盖一致性核验与关键条文回源。Use when:律师或法务在正式出具意见、备忘或合规结论前,需要检查法条引用是否准确、完整、可追溯。NOT for:仅做法规主题检索、案例研究,或不需要交付级引用核验的轻量场景。要求所有核验结论必须来自当次 MCP 返回;未通过核验的引用不得写为确定依据。
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zuoguyoupan2023 Skill Pkulaw MCP Regulatory Reply Check监管回复函与说明材料的依据核查工作流,用于把回复函、问询答复、说明材料中的法规引用整理成可复核、可回源、可流转的核查底稿。Use when:律师、法务、合规、董办或监管回复支持团队需要在对外或审批前检查引用是否准确、完整、可追溯。NOT for:纯法规主题研究、完整专项法律意见书撰写、以及不需要交付级引用把关的轻量场景。要求先锁定核查范围,再逐条回源与核验;未核验的引用不得写为确定依据。
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zuoguyoupan2023 Skill Pkulaw MCP Citation Validator法条引用核验与纠偏,用于检查草稿、问答、备忘或合同审查记录里已经写出来的法条引用是否准确、一致、可追溯。Use when:用户已经有一段文本,想确认其中法规名称、条号或引用表达是否可靠。NOT for:主题检索法规、案例检索、案号识别、以及未形成引用文本前的纯资料探索。要求只依据当次核验返回给出“命中 / 不命中 / 需复核”结论,不得把未核验内容写成已确认依据。
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zuoguyoupan2023 Skill Cs Wiki LibrarianDispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back into the wiki as a new comparison or synthesis page. Spawn when the user asks a substantive question the wiki might answer, says "what does the wiki say about X", "compare A and B across my sources", or wants to explore a topic.
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zuoguyoupan2023 Bundle Fair Simulation PackagerCreate FAIR-minded reproducibility bundles for materials simulations by collecting input/output file inventories, hashes, units, engine versions, structure identifiers, provenance, and NOMAD/OPTIMADE/Materials Project friendly metadata. Use before publishing, sharing, archiving, or handing simulation results to another agent.
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zuoguyoupan2023 Skill Clickhouse JS Node TroubleshootingTroubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream handling issues, data type mismatches, read-only user restrictions, proxy/TLS setup problems, or long-running query timeouts. Trigger even when the user hasn't precisely named the issue; vague symptoms like "my inserts keep failing" or "connection drops randomly" in a Node.js context are strong signals to use this skill. Do NOT use for browser/Web client issues.
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zuoguyoupan2023 Skill Do In StepsExecute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification
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zuoguyoupan2023 Skill Cs Wiki IngestorDispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which entity/concept/synthesis pages will be touched, flags contradictions with existing pages, and — after user confirmation — writes the source summary, updates cross-references across 5-15 pages, regenerates the index, and appends a standardized log entry. Spawn when the user says "ingest this", "add this paper/article/book to the wiki", or drops a file into raw/.
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zuoguyoupan2023 Skill Pkulaw MCP Labor Employment Answer劳动用工回复草稿工作流,用于把劳动法律与用工管理问题整理成可复核、可追溯、可转发的简短答复文本。Use when:律师、法务、HRBP 或合规同学需要回复业务、管理层或客户的劳动用工问题,并希望输出“结论 + 依据 + 风险提示 + 待复核点”。NOT for:完整劳动专项尽调、仲裁诉讼全案策略设计、以及其他更适合通用法律答复或非劳动领域处理的问题。要求先补事实前提,再检索后结论;未核验的具体法条不得写成确定依据。
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zuoguyoupan2023 Skill Create CommandInteractive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
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zuoguyoupan2023 Bundle Kibana Anomaly DetectionElastic ML anomaly detection skill — investigation/RCA, score explanation, job operations (create, datafeed, start/stop, results), and troubleshooting (missing docs, memory limits, datafeed health, lifecycle). Operates against Kibana Agent Builder MCP tools (`ad_*`) on `.ml-anomalies-*`, `.ml-config`, `.ml-notifications-*`, `.ml-annotations-*`. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit", or any request to set up or configure an ML anomaly detection job.
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zuoguyoupan2023 Skill Pkulaw MCP Batch Contract Screening批量合同合规初筛工作流,用于对同模板或同类型合同做快速统一筛查,输出可执行的批量风险台账。Use when:企业法务、采购合规、风控运营需要同时处理多份合同,识别高风险条款、引用错误与依据缺失。NOT for:单份合同的逐条精细审查、完整法律意见、诉讼策略分析。要求明确标注“批量初筛结果”,高风险项与系统未命中项必须人工复核。
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zuoguyoupan2023 Skill Pkulaw MCP Governance Research Memo公司治理研究备忘工作流,用于把股权、决议、董事责任、控制权、关联交易等问题整理成可讨论、可继续深挖、可流转的研究备忘。Use when:律师、法务、董办、投融资或研究同学面对的问题跨规则与实践、需要先综合召回再分流研究。NOT for:单条法条原文查询、单案深度诉讼策略、以及只需单一路径检索的简单问题。要求先界定研究问题与范围,再综合召回与分流;未核验的具体法条不得写成确定依据。
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zuoguyoupan2023 Skill Recipe Fullstack Build 2Execute decomposed fullstack tasks with layer-aware agent routing
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zuoguyoupan2023 Bundle Do In ParallelLaunch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
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zuoguyoupan2023 Skill Pkulaw MCP Contract Review Lite单份合同条款合规初筛工作流,用于把一份合同快速整理成可执行的风险台账,覆盖法条识别、条文回源和引用核验。Use when:律师或法务需要对单份合同做首轮审查、审批前风险识别或模板迭代前初筛。NOT for:批量合同统一筛查、完整法律尽调、正式法律意见书、诉讼策略建议。要求明确标注“初筛结果”,高风险与不确定项必须人工复核。
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zuoguyoupan2023 Skill Jira Integration在检索Jira工单、分析需求、更新工单状态、添加评论或转换问题时使用此技能。通过MCP或直接REST调用提供Jira API模式。
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zuoguyoupan2023 Skill Cs Backend EngineerBackend-engineering orchestrator. Walks the 7 Matt Pocock forcing questions (read/write ratio + QPS, tenancy, sync vs async, data sensitivity, pattern, RPO/RTO, SLO), picks the language + pattern profile, forks into specialists (api-design-reviewer, database-designer, migration-architect, observability-designer, slo-architect — listed alphabetically; workflow order is dependency-driven) rather than reimplementing their scope. Forks own context. Invoke via /cs:backend-review or Agent({subagent_type:"cs-backend-engineer",...}).
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zuoguyoupan2023 Bundle Md Analysis PlannerPlan molecular dynamics post-processing for materials simulations, including RDF, MSD and diffusion, VACF/VDOS, coordination numbers, bond-angle distributions, stress-strain curves, equilibration detection, PBC unwrapping, and trajectory format choices. Use before writing MD analysis scripts or trusting trajectory-derived results.
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zuoguyoupan2023 Skill Model ExplorationUse when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or running simple structured queries to inspect data. For analysis questions use the query skill. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.
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zuoguyoupan2023 Skill Relation CreationGuides you through defining a relationship between two Honeydew entities — covering join type, direction, cross-filtering, and connection method — then pushes the updated entity YAML to Honeydew via the MCP tools.
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zuoguyoupan2023 Bundle Tool DesignTool Design for Agents
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zuoguyoupan2023 Bundle Asr Transcribe To TextTranscribes audio and video files to text using Qwen3-ASR. Supports two modes — local MLX inference on macOS Apple Silicon (no API key, 15-27x realtime) and remote API via vLLM/OpenAI-compatible endpoints. Auto-detects platform and recommends the best path. Triggers when the user wants to transcribe recordings, convert audio/video to text, do speech-to-text, or mentions ASR, Qwen ASR, 转录, 语音转文字, 录音转文字. Also triggers for meeting recordings, lectures, interviews, podcasts, screen recordings, or any audio/video file the user wants converted to text.
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zuoguyoupan2023 Bundle Benchmark And Mms PlannerPlan verification and validation campaigns for simulation codes using manufactured solutions, canonical benchmark problems, grid/time refinement, uncertainty propagation, and pass/fail acceptance criteria. Use when an agent needs to prove a solver, model, or result is trustworthy rather than only plausible.
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zuoguyoupan2023 Bundle Autonomous BuilderFull-stack software development agent for design, implementation, testing, and deployment. Use when the user explicitly asks for end-to-end project creation, feature development, bug fixing, or code refactoring.
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zuoguyoupan2023 Skill Conversation ReviewUse when a semantic/context layer curator wants to review past analysis conversations in bulk, categorize user feedback into actionable improvement areas, and apply targeted changes to the semantic model or context layer. Covers the full workflow from collecting conversations and classifying feedback through to creating action items and applying them on a branch.
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zuoguyoupan2023 Bundle Hosted AgentsHosted Agent Infrastructure
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zuoguyoupan2023 Bundle EvaluationEvaluation Methods for Agent Systems
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zuoguyoupan2023 Bundle Bigdata SkillPull Bigdata.com (RavenPack) financial and news data through the official `bigdata-client` SDK and its public `/v1/*` REST endpoints when the Bigdata MCP server returns only pre-synthesized tearsheets but you need the machine-readable substrate underneath. MCP search returns prose chunks (text + relevance only — no per-chunk sentiment, no entity spans); its tearsheets give only aggregate values, not computable time series or per-field JSON. This skill bundles a verified, cost-guarded toolkit over the official REST API: annotated chunk search, entity/ISIN resolution, analyst estimates, calendar/surprise/ ratings/targets, financial statements, TTM metrics & ratios, prices, dividends, revenue segments, a daily entity-sentiment series, co-mention graph, screener, and batch search. Use it whenever the user mentions Bigdata.com, RavenPack, a `bd_v2_` key, the bigdata MCP, rp_entity_id, chunk/query_unit cost, or wants structured financials, fundamentals, prices, sentiment, or annotated news.
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zuoguyoupan2023 Bundle Statusline GeneratorInstall, configure, customize, or troubleshoot the Claude Code statusline (the line above the prompt with cwd, model, and token counts). Use when the user wants to set up or change the statusline, switch between minimal and full layouts, show absolute token counts (e.g. ctx 108K / 1M) instead of a percentage, add cost via ccusage or git status, or fix a statusline that is blank, silent, stuck, shows "permission denied", or stopped updating after a script edit (commonly a missing chmod +x). Also covers debug-dumping the stdin JSON Claude Code passes the script. Trigger phrases include "configure statusline", "statusline blank", "status line not showing", "statusline broken", "show token count in statusline", 状态栏, 状态栏不显示, 状态栏空白, 显示工作目录, 显示 token 数.
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zuoguyoupan2023 Bundle Bdi Mental StatesBDI Mental State Modeling
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zuoguyoupan2023 Bundle Examples Digital Brain SkillDigital Brain
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zuoguyoupan2023 Bundle Context Engineering CollectionA comprehensive collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.
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 hypothesis-generation, do-competitively, launch-sub-agent. 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.