Loading...
Loading...
Found 104 Skills
Unity 6 lighting and visual effects guide. Use when working with lights, baked/realtime/mixed lighting, light probes, reflection probes, Adaptive Probe Volumes (APV), global illumination, Particle System, VFX Graph, or post-processing effects. Based on Unity 6.3 LTS documentation.
Build a fully-interactive 3D character-selector experience powered entirely by fal.ai. Generates stylized characters (FLUX.2 / GPT-Image-2), rigged animated GLBs (Meshy v6), themed companion creatures, per-character PATINA floor textures, looped Seedance video backgrounds, and a Three.js scene with palette swaps, breathing reflections, transition effects and a CREATE-YOUR-OWN flow.
Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.
Personal journal intelligence that transforms raw, unorganized thoughts into structured diary entries with psychological analysis. Use when the user provides journal entries, diary text, stream-of-consciousness writing, voice memo transcriptions, or asks to process daily thoughts into a structured format. Produces narrative entries, gratitude extraction, multi-level psychological analysis (surface/medium/clinical), health pattern flags, therapeutic micro-actions, and bridge-to-tomorrow planning. Trigger phrases: 'journal entry', 'diary entry', 'process my thoughts', 'Chronicle', 'daily reflection', 'write up my day'.
Advanced context engineering techniques for AI agents. Token-efficient plugins improving output quality through structured reasoning, reflection loops, and multi-agent patterns.
Design printable, fill-in-ready worksheets—practice sets, graphic organizers, lab records, reflections, or gap-closure forms—from learning goals and source material. Use when the user asks for a worksheet, handout with answer spaces, practice problems, graphic organizer, or structured questions students complete in class or at home. Create worksheets with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Vellum — Deep navy canvas with warm-yellow italic Cormorant serifs and a single dusty teal accent. A quiet, scholarly aesthetic. Anything that should feel scholarly, literary, and quietly intelligent: research synthesis, white papers, academic and policy briefs, advisory deliverables, longform editorial pieces, founder reflections.
This skill is to be used when users request in-depth analysis, thorough thinking, or detailed breakdown of a problem. It is triggered by expressions such as: 'Help me think deeply', 'Please analyze carefully', 'Help me break it down in detail', 'Please organize my thoughts', 'Think carefully', 'Gain in-depth understanding', 'Analyze in detail', or similar phrases indicating a need for systematic thinking. This skill adopts the ReAct-Plan framework: integrating chain-of-thought reasoning with explicit global planning, dynamic prediction, and reflection to overcome short-sighted behaviors.
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues. Use when experiment code fails or produces incorrect results.
Facilitates the first step of a proven ideal-customer (ICP) method: gathering raw, honest, specific observations about what a company and product actually are — before any judgment about strengths or weaknesses. Walks the user through twelve unsparing question categories (what customers praise, the complaint with no defense, what separates your most profitable customers, and more) — or processes a team's write-storm notes one observation at a time — and records the results in OBSERVATIONS.md (numbered O1, O2, …), vivid and unevaluated. For a company operating online, it first scans public reviews and press into an External Research section that seeds it. Load when the user wants to figure out their ideal customer, take an honest look at their company, run a strengths-and-weaknesses exercise from scratch, or says 'who is our Carol' or 'what are we actually good at.' Do NOT load to classify observations into strengths and weaknesses (the next step), or for personal self-reflection unrelated to a company.
Analyse workflow trends: session ratings, recurring mistakes, and learnings over a period. Use for weekly or monthly reflection.
Write in-depth article evaluations/interpretations based on the original content. This skill is used when users provide an article, blog, WeChat Official Account article or any long-form content and request evaluations, interpretations, reflections or secondary creation content. Applicable scenarios: (1) In-depth interpretation of technical articles, industry analyses, year-end summaries, etc., (2) Extracting core viewpoints of articles and re-expressing them in plain language, (3) Generating secondary content for social media dissemination.