Total 54,224 skills, AI & Machine Learning has 9017 skills
Showing 12 of 9017 skills
Analyzes observability signals from customer GenAI applications with DQL. Reads OpenTelemetry GenAI spans and LLM evaluation bizevents. Use for: golden signals (traffic, errors, latency, saturation); LLM signals (model, provider, tokens); cost/token analytics, usage attribution, and prompt caching; agent signals (tool calls, steps, failures, loop detection, Smartscape topology); conversation/session analytics; guardrails (blocked/truncated responses); and evaluation signals (quality, pass/fail). Trigger: "LLM latency", "token usage by model", "cost by model and provider", "cost per conversation", "who is driving token spend", "do I have prompt caching", "failing agent tool calls", "find runaway agents", "responses truncated or blocked", "failed evaluations", "am I hitting rate limits", "token throughput / TPM", "provider throttling or 429s". Do NOT use for: Davis CoPilot/MCP telemetry (dt-platform), generic service metrics (dt-obs-services), logs (dt-obs-logs), or non-GenAI tracing (dt-obs-tracing).
Use when the user asks for 4k vfx or a task matching the examples below. Turn a plain video clip into a cinematic 4K AI-VFX shot. Give Claude a video and the change you want; it reads EVERY frame via local contact sheets and understands the audio, writes a Seedance-faithful prompt that locks your face, gestures, and camera move, then re-renders the same shot with the VFX baked in via Seedance 4K reference-to-video.
Use when the user asks for stagefight or a task matching the examples below. Generate a viral "fan-filmed staged fight" clip — POV phone footage of two costumed performers having a choreographed cosplay battle on an elaborate themed stage at a live outdoor event, with a believable live-stage effect (smoke / colored fire / water geyser) and a crowd in the foreground filming. A gpt-image-2 stage still → image-to-video (Seedance, ~10s, 16:9). The advertiser-safe "theatrical performance" framing is what gets fight content past moderation. Triggers: "/stagefight", "make a staged fight video", "fan-filmed cosplay fight", "ninja/samurai stage battle", "that staged fight trend". Requires the pika MCP.
Use when the user asks for voxel it or a task matching the examples below. Voxel-It — turn any photo into a high-quality Minecraft screenshot, keeping the HUMAN subject(s) fully photorealistic while the rest of the frame becomes detailed Minecraft block geometry, then cinematic-color-grade the whole frame to the photo's mood so the real person and the voxel world read as one image. A Step 0 router reads the photo and picks ONE of three input-driven modes: object-only (voxelize just the held/featured object + its tableware, keep the person AND background photoreal, float Minecraft loot-tag labels), background-only (voxelize the background/environment, keep the person and any incidental object photoreal, no tags), or object+background (voxelize everything except the person). Single still-image edit via one generate_image_edit call. This skill absorbs the old minecraft-food and minecraft-world trends. Triggers: "voxel it", "voxelize this", "minecraft world", "minecraft food", "minecraftify this", "minecraftify the background", "voxel food", "minecraft my photo", "put me in minecraft but keep me real", "loot tags on my food", "minecraft everything but the person", "/voxel-it".
Checks voice-dictated requests with a readback and stays active in the current conversation until disabled.
Discover, compare, and optionally install published Agent Skills from QianWen. TRIGGER when: user asks to find or recommend a skill, asks whether a skill exists for a task, wants to browse skills by category, wants to compare candidates, asks to install a discovered skill, or explicitly invokes this skill by name (e.g. use qianwen-find-skills). DO NOT TRIGGER when: user already selected an installed skill and only wants to run it, or the request is unrelated to skill discovery or installation.
Creates, audits, and consolidates Agent Skills that follow the Agent Skills open standard, and hands back a drafted or repaired skill with the review checklist for its branch applied. Use for "create a skill", "draft a SKILL.md", "package this expertise as a skill", "why does this skill never trigger", "audit this SKILL.md", "improve this skill", or merging overlapping skills into fewer deeper modules. Covers frontmatter, descriptions that trigger, progressive disclosure, completion criteria, and bundled scripts.
Assesses and improves a git repository's readiness for AI coding agents with the agentready tool, and reports the score, the certification level, the failing findings, and where the report was written. Covers one repository or every RHDH repository under a directory, and applies the fixes the report supports. Use for "assess agent readiness", "run agentready", "improve our agent readiness score", "prepare this repository for coding agents", or "assess all the RHDH repositories".
Interactive session to craft a system prompt for an AI agent powered by the Sanity Context MCP server. Use this skill when users want to define agent personality, set tone/voice, establish boundaries and guardrails, configure refusal behaviors, or control how their agent communicates. Trigger when users mention their agent sounds wrong, needs to refuse certain requests, has the wrong tone, or they want to set communication rules and policies.
Interactive session to create Instructions field content for the Sanity Context MCP server. Use this skill whenever users mention tuning agent context, improving agent responses to Sanity data, configuring MCP instructions, setting up content filters, or when their agent gives wrong results from Sanity queries. Also trigger when users say their agent is confused about schema relationships, needs data-specific guidance, or wants to optimize which content the agent can access.
Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, and set up their AI assistant to load it automatically. Use this skill whenever a user says they're new to Basic Memory, wants to 'get started', 'set up', or 'onboard' with Basic Memory, doesn't know what to use it for, asks how to organize their memory project or knowledge base, wants help designing folders/schemas/conventions, or asks how to make their assistant remember context between sessions. Also use it when a user has an empty or messy Basic Memory project and wants structure.
Resume prior work by rebuilding context from the Basic Memory knowledge graph — pick up where you left off using memory:// URLs, recent activity, and search. Use when starting a session or when the user says 'continue with...', 'back to...', or 'where were we?'