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Found 4,751 Skills
Your pathfinder for navigating unknown codebases. Investigates with precision, implements surgically, and never assumes — if it doesn't know, it says so. Maintains a .notebook/ knowledge base that grows across sessions, turning every discovery into lasting intelligence. Summons available skills, MCPs, and docs when the mission demands. Use when fixing bugs, implementing features, refactoring, investigating flows, or any development task in unfamiliar territory. Triggers on "fix this", "implement this", "how does this work", "investigate this flow", "help me with this code". Do NOT use for greenfield scaffolding, CI/CD, or infrastructure provisioning.
Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification (defined terms, cross-references, placeholders, boilerplate, citation format). Triggers on: 'draft a contract', 'write a legal memo', 'create an NDA', 'write a brief', 'legal document about', 'draft a complaint', 'terms of service', 'privacy policy', 'demand letter', 'settlement agreement', 'legal opinion', 'discovery requests', any request to produce a legal or law-related document.
Conversationally guides the user to a CLAUDE.md file. Starts by inferring what it can from the repo, asks ~8 core questions, then offers optional depth across business, voice, and working-style topics. Use when the user wants a CLAUDE.md but would rather have a conversation than fill out a form.
Transforms content (URLs, uploaded documents, pasted text, meeting transcripts) into professional visualizations across four output modes. Accepts a mode argument or a keyword trigger in the user message. Mode "diagram" produces an Excalidraw diagram via Excalidraw:create_view. Mode "infographic" generates a Swiss Pulse PNG via the Gemini image-generation API. Mode "visualize" renders an inline Visualizer widget (SVG or HTML) via visualize:show_widget. Mode "publish" ships an interactive Swiss Pulse HTML visual to HeyGenverse via HeyGenverse:create_app and returns a shareable link. Keywords that activate the skill: "diagram it", "excalidraw this", "draw a diagram of this", "nano this", "vis it", "ver it", "hey it", "heygenverse this". Do not use for plain-text summaries, code explanations, prose responses, or generic chat visualizations without a chosen output format.
Creates scoped key-value stores, reads and writes state entries, lists keys, and performs partial updates across functions. Use when persisting data between invocations, managing user sessions, caching computed values, storing feature flags, sharing state between workers, or building a KV data layer as an alternative to Redis or DynamoDB.
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
NestJS reference skill: modules, controllers, providers, DTOs with class-validator, TypeORM/Prisma, guards, interceptors, pipes, queues (BullMQ), WebSockets, microservices, testing, OpenAPI, and CLI scaffolding. Use when the task touches NestJS application code and should follow the project's module-based architecture.
Juicebro Content Aggregation Skill. Enables Agents to query, aggregate, and navigate public content from "Juicebro" across 13 platforms including Weibo, Xiaohongshu, Douyin, Bilibili, Xueqiu, Toutiao, WeChat Official Account, Xiaoyuzhou, etc. Supports full-platform search, single-platform query, topic filtering, content type screening, summary report generation, and platform navigation recommendation. Note: This Skill is in the specification-first phase, and content acquisition depends on the Agent's own public access capabilities.
Enter this sub-process when conducting code optimization — handle tasks where 'behavior remains unchanged, structure changes' (structure / performance / readability). Shift single-module internal optimization from 'AI random refactoring' to 'first scan to generate a checklist, confirm each item with the user, execute step-by-step according to the method library, and require manual approval for each step'. Trigger scenarios: Users mention phrases like 'optimize it / refactor / rewrite / split it / poor performance / code is too long' without any accompanying behavior changes. Do not handle new requirements (route to feature), bugs (route to issue), or cross-module architecture restructuring (route to architecture + decisions).
Detects framework-specific anti-patterns, convention violations, and idiom misuse across PHP/Laravel, React/Next.js, and Python/Django/FastAPI codebases. Loads framework-specific reference guides and checks against framework conventions. Generates severity-scored findings with copy-pasteable fix prompts. Trigger phrases: "framework review", "framework check", "laravel best practices", "react best practices", "framework audit", "framework-specific review".
Curated text animation catalog with exact JSON specs for headings, labels, counters, and text swaps. Use when an agent needs to pick or translate named effects like soft blur in, typewriter, shared axis, line reveal, stagger, crossfade, or kinetic builds into WAAPI, Motion, Framer Motion, GSAP, CSS, Lottie, Rive, or similar stacks.