productivity▌

Backtesting strategy parameter optimization with VectorBT, generating performance heatmaps and benchmark comparisons. \n \n Accepts strategy name, symbol, exchange, and interval; creates optimization script in backtesting/{strategy}/ directory \n Loads market data from OpenAlgo via .env configuration or directly from DuckDB; uses TA-Lib for all indicators with OpenAlgo ta for specialty indicators like Supertrend and Donchian \n Tests parameter combinations across sensible ranges (e.g., EMA 5-50

Type and scope are examples only; adjust to fit the repo and changes.

User Input:

Client-side tracking with Analytics.js. Include track, identify, page, and group calls. Anonymous ID persists until identify merges with user.

Analyzes conversation patterns and tool usage to propose targeted skill improvements or user preferences. \n \n Reviews conversation history and tool failures to identify gaps in skill definitions or recurring user preferences \n Proposes one change at a time (either a skill update shown as a diff or a preference addition to CLAUDE.md ) for focused review \n Requires explicit user confirmation before applying any changes to skills or preference files \n Prioritizes failure analysis and user corr

Important: This skill assists with close management workflows but does not provide financial advice. All close activities should be reviewed by qualified financial professionals.

Expert guidance for building retrieval-augmented generation systems with optimized embeddings, chunking, and retrieval pipelines. \n \n Covers semantic chunking, hierarchical retrieval, and hybrid search combining keyword and vector similarity matching \n Addresses critical RAG pitfalls including fixed-size chunking, embedding refresh strategies, and retrieval evaluation separate from generation quality \n Emphasizes chunking by meaning rather than token limits, multi-level indexing for precisio

Comprehensive guide for creating effective Agent Skills for Apollo GraphQL and GraphQL development. \n \n Provides complete skill structure requirements including mandatory SKILL.md frontmatter, naming conventions, and optional reference file organization \n Covers best practices for writing skill descriptions with numbered trigger conditions, body content with progressive disclosure, and reference file management \n Includes Apollo Voice style guidelines emphasizing approachable, opinionated, a

Write customer-focused press releases before building to align stakeholders on product vision. \n \n Follows Amazon's Working Backwards methodology: start with a press release and FAQ before engineering begins, forcing clarity on customer value and problem solved \n Structured template covers headline, problem statement, solution (outcomes not features), executive quote, supporting details, and call to action \n Serves as a planning and alignment tool, not a launch-day marketing document; helps

Automatic code quality checks and validation across Node.js, TypeScript, and Python projects. \n \n Runs linting, type checking, and security audits with ecosystem-specific tools (ESLint/TypeScript for Node.js, Ruff/MyPy/Bandit for Python) \n Enforces a mandatory quality loop: write code, run audit, analyze report, fix issues, and repeat until all checks pass \n Includes helper scripts for unified lint checking and type coverage analysis across project paths \n Blocks code submission until all v