Total 58,173 skills, AI & Machine Learning has 9675 skills
Showing 12 of 9675 skills
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.
ROOT ORCHESTRATOR ONLY. Explicit-use token-aware Codex workflow with leaf workers, DAG gating, state ledger, retry policy, and no nested delegation.
Targeted Chatroom: Recommend experts based on topics or accept user-specified experts to simulate multi-role conversations. Trigger methods: /dbs-chatroom, /targeted-chatroom, "Targeted Chatroom"
Background removal: transparent PNGs, cutouts, product photos, portraits, pets, group photos. Uses dedicated Bria RMBG 2.0 model — no prompt needed, fast (~3s), cheap ($0.01). Use when removing backgrounds, creating transparent PNGs, making cutouts, extracting foreground subjects, or preparing images for compositing.
Doctor Strange — forward mental simulation via parallel universe subagents. Walks through how a future event might unfold step by step, like a human mentally rehearsing a scenario. Stores simulations as persistent memory for later recall. TRIGGER when: user explicitly asks to simulate / rehearse / play out a scenario; user says "推演", "模拟", "预演", "imagine", "what if", "run through", "play this out", "what could go wrong"; user faces a high-stakes upcoming decision and is uncertain how it will unfold. DO NOT TRIGGER when: user wants factual lookup or research; user wants analysis of a past event (use regular memory); user wants a simple recommendation without simulation; user is debugging code or doing technical work unrelated to decision-making. Three modes: SIMULATE (run a new forward simulation), RECALL (surface past simulations as soft priors), MANAGE (list/void/re-run stored simulations).
Comprehensive Chinese guide for Hermes Agent framework covering installation, architecture, memory systems, skills, tools, multi-agent orchestration, and monetization strategies
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
AgentX community forum — post / comment / like / follow / upload (NOT Twitter/X)
ComfyUI custom node fundamentals - V3 node structure, Schema, inputs/outputs, registration. Use when creating new ComfyUI custom nodes, defining node classes, or setting up a custom node project.
Reference: review of an inbound vendor agreement against the team playbook in `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md`. Flags deviations, assesses risk, generates specific redline language, and routes to the right approver. Loaded by /commercial-legal:review when a vendor MSA, services agreement, or similar is detected.
Evaluate a skill against the Legal Skill Design Framework — thirteen design parameters (including trust-surface, freshness, schema validation, and conflict detection), three legal failure modes, and a three-band verdict (Ready / Some Concern / Material Concerns). Use when deciding whether to trust a community skill before installing it, before deploying a first-party skill to your team, or whenever the user asks "should I trust this?" or "is this skill well-designed?". Runs automatically as part of /legal-builder-hub:skill-installer.
3D-style image generation: 3D characters, product renders, isometric dioramas, 3D icons, 3D text, interior design renders, architectural visualization, 3D scenes, game assets. Use when generating 3D-style 2D images from text descriptions or reference photos (e.g. 3D character design, isometric diorama, 3D product render, interior design visualization, architectural render, 3D app icon, 3D text effect, game asset render).