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Found 3,180 Skills
Mechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 forked subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for submission-ready or R&R-stage papers where single-pass review isn't enough.
Generate polished technical diagrams as SVG, and export PNG when local export tooling is available. Use when the user wants an architecture diagram, flowchart, data flow, sequence diagram, agent or memory diagram, comparison matrix, timeline, or concept map rendered as a visual artifact instead of Mermaid or a hand-drawn whiteboard. Trigger on requests like 画图、帮我画、生成图、 做个图、架构图、流程图、时序图、可视化一下, or English requests such as draw diagram, architecture diagram, visualize this system, generate a flowchart, or create a technical SVG. Prefer this skill when the user wants publishable SVG/PNG output, style selection, or AI/agent-system diagram conventions.
Get AI-powered match predictions for Premier League and Champions League including scores, next goal, and corners.
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.
Plan how to slice a non-trivial coding task across parallel subagents. Returns a dispatch plan (file assignments, dependencies, output-format contracts) — the main Agent then executes it with the Agent tool + `isolation: "worktree"`. Invoke only when work justifies multi-agent overhead: (a) greenfield 0→1 across multiple independent modules, (b) change touches ≥3 modules, or (c) ≥5 files each with >50 lines of diff. Small changes write inline.
Vitest 4+ testing with Vite. Use when configuring vitest.config.ts, writing unit/integration/browser tests, implementing mocks with vi.fn/vi.spyOn/vi.mock, setting up V8 or Istanbul coverage, or migrating from Jest or older Vitest workspace setups. Triggers on vitest, vitest.config.ts, vi.mock, browser mode, vitest/browser, projects, setupFiles, and toMatchScreenshot.
Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects. Use when adding labels/captions/lower-thirds to LTX-2 or SadTalker outputs, building short ad-style spots in pure Python without Remotion, or doing programmatic video composition. Triggers include text overlay on video, label LTX-2 clip, caption SadTalker output, lower third, build.py video, moviepy, Python video composition, sub-30s ad spot.
Fix GitHub issues end-to-end — from analysis through branch creation, implementation, testing, and PR submission. Use this skill whenever the user mentions fixing a GitHub issue, resolving a bug from an issue tracker, working on a GitHub issue number, or says things like "fix issue
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.
Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.