Total 56,656 skills, AI & Machine Learning has 9430 skills
Showing 12 of 9430 skills
Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.
Data Cloud 360° view of a single Agentforce session. Pulls 24 STDM + GenAI DMO rows via the DC Query REST API, assembles a hierarchical session tree (Interaction → Step → Generation → GatewayRequest), renders a human-readable summary with transcript + per-turn topic/action invocations + LLM generations + tool calls + audit chain. TRIGGER when user asks to trace, inspect, summarize, or describe a specific Agentforce session by session id (Agent Session UUID `019d…` or MessagingSession id `0Mw…`). Also triggers on session discovery — find/list/search sessions by time, agent, channel, outcome, or conversation text — when the user has no session id yet. DO NOT TRIGGER for design-time architecture questions (use investigating-agentforce-architecture instead) or for runtime perf/latency/SLO questions that require platform telemetry beyond Data Cloud.
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitor_only, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.
Brief what just happened on a topic and map public opinion from X (Twitter) only. Adaptive recency window biased to the freshest coherent story. Soft exception: at most one web lookup for entity resolution. Use when the user runs /whathappened, or asks what happened / what's going on / X or Twitter reaction / public opinion on X about a person, product, launch, or event. Grok Build only (requires native X tools). Neutral analyst tone. No discovery mode in v1.
AI SDLC approvals, sandbox, and command rule workflow. Use when an AI assistant needs to decide whether to request escalated permissions, explain sandbox failures, propose prefix_rule approvals, avoid unsafe command patterns, or document why a command was or was not rerun outside the sandbox. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Use when someone asks to enhance an image, generate AI images, remove background, improve image quality, or create product shots. Also use when the user mentions 'AI image generation,' 'generate an image,' 'enhance my photo,' 'remove background,' 'improve image quality,' 'make this image better,' 'product shot enhancement,' 'generate background,' 'image enhancement,' 'AI photo,' or 'touch up my image.' Uses Sivi's generate API to create or enhance images using AI models. For uploading existing local files, see brand-assets. For generating designs from prompts, see generate-design.
Use this skill to Upgrade Einstein Bots into Agentforce agents end-to-end in a single pass, orchestrating per-bot Agent Spec generation, planner reconciliation across bots, agentforce-generate authoring, and post-conversion .agent enhancements. TRIGGER when: user asks to migrate, upgrade, or convert one or more Einstein Bots to Agentforce; runs a multi-bot bot-to-agent upgrade; needs Einstein Bot metadata turned into Agent Spec handoffs and generated .agent agents; convert bots to agents; upgrade my service bots; move bots to Agentforce. DO NOT TRIGGER when: user already has an approved Agent Spec and only wants direct .agent authoring, deploy, test, or observe flows; the request is unrelated to Einstein Bot migration.
Guide Agents to accurately call taiwan-legal-db and dr-lawbot (semantic precedent retrieval) MCP tools in a hallucination-resistant manner to retrieve Taiwanese laws, precedents, and constitutional judgments, and implement citation verification and trust gates.
Generate images, video, speech, and transcribe audio using Aliyun Bailian models.
Audit and optimise context window usage for AI coding tools (Claude Code, OpenCode, etc.). Estimates token breakdown, identifies waste (duplicate skills, overlapping rules, bloated instruction files, dirty git status, MCP server overhead), and provides actionable recommendations with projected savings. Use when the user says "context checkup", "reduce context", "check context", "context audit", "how big is my context", or when sessions feel sluggish.
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner