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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luokai0 Skill Pm Develop Solution Brief<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Iterate Pivot Decision<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Measure Experiment Results<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Define Opportunity Tree<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Deliver Acceptance Criteria<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Define Problem Statement<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Deliver Launch Checklist<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Develop Design Rationale<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Iterate Refinement Notes<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Utility Pm Skill Builder<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Discover Interview Synthesis<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Measure Instrumentation Spec<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Measure Experiment Design<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Discover Competitive Analysis<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Measure Experiment Results<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Measure Dashboard Requirements<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Deliver Acceptance Criteria<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Discover Interview Synthesis<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Measure Instrumentation Spec<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Discover Competitive Analysis<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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luokai0 Skill Pm Measure Dashboard Requirements<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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diegosouzapw Bundle PriyaPriya Sharma - Agent Profile
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diegosouzapw Bundle Cass 2Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
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diegosouzapw Bundle New AgentNew Agent Creator
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diegosouzapw Bundle Design AgentDesign Agent
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diegosouzapw Bundle Aif 2Set up Claude Code context for a project. Analyzes tech stack, installs relevant skills from skills.sh, generates custom skills, and configures MCP servers. Use when starting new project, setting up AI context, or asking "set up project", "configure AI", "what skills do I need".
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diegosouzapw Bundle Aif 3Set up Claude Code context for a project. Analyzes tech stack, installs relevant skills from skills.sh, generates custom skills, and configures MCP servers. Use when starting new project, setting up AI context, or asking "set up project", "configure AI", "what skills do I need".
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construct-ai-primary Skill Federated Model ManagementManagement of federated models and multi-model coordination
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construct-ai-primary Skill Arch Bim CoordinationBIM model coordination and clash detection
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construct-ai-primary Skill It Agent CoordinationSkill for multi-agent workflow orchestration, structured data handoffs, error recovery, and agent lifecycle management in the ConstructAI platform
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construct-ai-primary Skill It AI LLM IntegrationManage AI integration including LangChain configuration, LLM orchestration, prompt engineering, and AI assistant deployment for all disciplines
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construct-ai-primary Skill It Chatbot ConfigurationSkill for chatbot setup, prompt tuning, state-aware assistant configuration, and discipline integration for the ConstructAI platform
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aibot88 Bundle MCP EvalYou are the orchestrator of an MCP evaluation session. Your job is to exercise the full set of attached MCPs against user-approved scenarios, record every tool call you make (MCP and non-MCP) with honest justifications, then hand the transcript to the `friction-critic` sub-agent for adversarial review.
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aibot88 Bundle Scitex Nn> **Interfaces:** Python ⭐⭐⭐ (primary) · CLI — · MCP — · Skills ⭐⭐ · Hook — · HTTP —
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aibot88 Bundle Test GateTest how tool-gates evaluates any tool invocation (Bash, Read, Write, Edit, Glob, MCP) and show the permission decision (allow / ask / deny / defer). Pipes a synthesized JSON payload to the tool-gates binary and formats the result. Useful for verifying a new gate, debugging why a command was blocked, or distinguishing 'tool-gates explicitly asks' from 'tool-gates lets CC handle it'. NOT for approving a pending permission (use tool-gates:review) or editing rules manually (use update-config).
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aibot88 Bundle Scitex SshPersistent, auto-reconnecting SSH reverse tunnels for NAT traversal — installs an `autossh` systemd unit on the local host so a bastion/relay server can SSH back in even through firewalls and dynamic IPs. Python API — `setup(port, bastion_server=, secret_key_path=)`, `remove(port)`, `status(port=None)`, `get_version()`. Defaults read from env vars `SCITEX_SSH_BASTION_SERVER` and `SCITEX_SSH_SECRET_KEY_PATH`. 3 MCP tools — `tunnel_setup`, `tunnel_remove`, `tunnel_status`. Bundled bash scripts (`setup-autossh-service.sh` / `remove-autossh-service.sh`) install/remove `autossh-tunnel-<port>.service` via systemctl. Drop-in replacement for hand-writing `autossh -M 0 -NR port:localhost:22 user@host` commands, crafting `/etc/systemd/system/autossh-tunnel-*.service` unit files by hand, `sshuttle`, and manual `ssh -R` plus `tmux` reconnect loops. Use whenever the user asks to "set up a reverse SSH tunnel", "keep SSH alive through NAT", "access a lab machine from outside", "tunnel through a bastion", "autossh systemd se
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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 pm-develop-solution-brief, pm-iterate-pivot-decision, measure-experiment-results. 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.