Total 59,089 skills
Showing 12 of 59089 skills
Check the evidence, biases, alternative explanations, and reporting boundaries required for research conclusions before implementation or submission. Use when the user asks for “review my research design”, “act as a strict reviewer”, “challenge this conclusion”, or requests the rw-research-referee workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Read the README (or any front-door doc) through the eyes of several distinct audience personas and report what each would think, miss, or bounce on
Generate or iterate on the vigiles logo using ImageRouter API
Design and operate an advanced AI agent memory system on HelixDB using hybrid graph + vector + BM25 search. Use when building long-term memory, user profiles, document/chunk RAG, recall/remember features, memory extraction, deduplication, consolidation, versioning, updating, forgetting/deletion, categorisation, or connector-backed ingestion. Covers tenant-safe Helix data modeling, modality decision rules, the full write/maintain lifecycle, and the product layers an agent must implement around Helix. TypeScript-first (@helix-db/helix-db); a Rust DSL variant is in EXAMPLES.rust.md.
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
When the user wants to build or improve a sales bot's ability to avoid making claims that create liability. Also use when the user mentions "compliance," "legal risk," "claim avoidance," "regulated industries," or "liability prevention."
Turn vague taste, screenshots, URLs, product notes, or "make it feel like this" references into a grounded DESIGN.md plus an implementation handoff. Use it before prototypes, decks, redesigns, or image remix work when the user needs a reusable visual direction rather than a one-off prompt.
MANDATORY prerequisite — invoke BEFORE any mcp__blockbench__* tool call that creates, modifies, or exports Blockbench content. Orchestrates the other blockbench-* skills (modeling, texturing, animation, PBR, Hytale, MCP overview). Trigger on: 3D model/texture/animation creation or edits in Blockbench; calls to mcp__blockbench__* tools; phrases like 'build a Minecraft model', 'paint a texture', 'animate this rig', 'export the model'. Dispatches to the right sub-skill(s), enforces pre-flight checks (project open, format, outline), wraps risky work in checkpoints, and ensures exports close the loop.
Use when a Luma / 拾光 / 拾光智能体 / 拾光工具 agent needs content research, topic discovery, keyword tables, persona-based search, or Excel-friendly research outputs for short-video planning.
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only — never modifies code.
Unity shaders, materials, and rendering pipelines (URP/HDRP/Built-in). PROACTIVELY activate for: (1) writing shaders in Shader Graph, HLSL, or ShaderLab, (2) URP and HDRP shader authoring, (3) custom render pipeline work (SRP), (4) lighting setup (baked vs realtime, lightmaps, Global Illumination), (5) post-processing stacks, (6) reflection probes and light probes, (7) custom render features and full-screen passes, (8) shader stripping and variant management, (9) compute shaders, (10) ray tracing in HDRP. Provides: Shader Graph templates, HLSL snippets, URP/HDRP differences, lighting setup recipes, render-feature examples, and shader-variant guidance.
ELFA AI — real-time crypto social intelligence and automated condition-engine skills for AI agents. Track trending tokens, surface narratives, search mentions, run market analysis, and build automated trigger-based workflows.