AI Agent Skills

Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.

Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or ex…

Build a reproducible local rough-cut workflow for talking-head or narrated screen-recording videos with transcript review gates.

Review local character animation with schema checks, Playwright browser previews, frame sampling, and FFmpeg/ffprobe final output checks.

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plu…

Opinionated Oxlint rules for rejecting low-evidence TypeScript and JavaScript patterns

Add a new table column type to Sim — registry entry, icon, storage shape, coercion, and the behavioral hooks the grid and API read. Use when adding a value kind under `a…

Add a complete Sim integration from API docs, covering tools, block, icon, optional triggers, registrations, resolved-secret/model-input safety, and integration conventi…

Add a new governed item to Sim's enterprise permission groups — a boolean restriction, an allowlist, or a denylist — wired end-to-end from the field registry through the…

Create tool configurations for a Sim integration by reading API docs

Create a consent-aware digital-avatar layer for AI video production with narration approval and final quality gates.

Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.

Create original editorial technology covers with a controlled layout, custom diagram generation, and editable SVG or PNG output.

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.

Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.