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Found 5,096 Skills
Generate tech assessment reports for mentor/mentee relationships tracking growth, goals, and action items over time. Use when the mentor says "tech-assessment", "/tech-assessment", or "tech assessment" and provides meeting notes, a transcript, or a summary. The skill produces an updated overview.md, a dated assessment.md archival file, and a Microsoft Teams message draft for the mentee.
Automates mock test creation for C++ projects using Google Mock (GMock) framework with consistent software testing patterns. Use when creating tests with mocked dependencies, interface mocking, behavior verification, or when the user mentions mocks, stubs, fakes, or GMock.
Build trading systems in the style of Two Sigma, the systematic investment manager pioneering machine learning at scale. Emphasizes alternative data, distributed computing, feature engineering, and rigorous ML infrastructure. Use when building ML pipelines for alpha research, feature stores, or large-scale backtesting systems.
App Store screenshot research, competitor analysis, and planning tool for iOS/macOS apps. Use this skill when working with App Store screenshots for any of these tasks: (1) Finding and analyzing competitor screenshots in your category, (2) Downloading competitor screenshots locally for reference, (3) Analyzing screenshot strategies (styles, captions, features), (4) Planning your screenshot sequence and messaging, (5) Generating a local preview website to view and compare screenshots, (6) Understanding screenshot requirements and best practices, (7) Creating exportable screenshot assets at correct dimensions.
Audit project documentation quality across 8 categories (Hierarchy, SSOT, Compactness, Requirements, Actuality, Legacy, Stack Adaptation, Semantic Content). Delegates to ln-601 for deep semantic verification of project documents. Use when documentation needs quality review, after major doc updates, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.
Audits AGENTS.md and CLAUDE.md files using execution-first standards. Checks commands, gotchas, and signal-to-noise ratio. Use when asked to audit, review, score, refactor, or improve agent instruction files, fix stale commands, or reduce bloat.
Use when CONFIGURING an existing SDK - NOT for initial generation. Covers gen.yaml configuration for all languages: TypeScript, Python, Go, Java, C#, PHP, Ruby. Also covers runtime overrides (retries, timeouts, server selection) in application code. Triggers on "configure SDK", "gen.yaml", "SDK options", "SDK config", "SDK configuration", "runtime override", "SDK client config", "override timeout", "per-call config". For NEW SDK generation, use start-new-sdk-project instead.
Use when designing module boundaries, planning refactors, or reviewing architecture in Python codebases. Also use when facing tangled dependencies, god classes, deep inheritance hierarchies, unclear ownership, or risky structural changes.
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
Use when deploying to Vercel - covers Fluid Compute (timeout issues, 60s bug), vercel.json configuration, maxDuration settings, cron jobs, environment variables (printf gotcha), monorepo setup, Next.js issues, and common build errors
Screen and analyze stocks through an ESG (Environmental, Social, Governance) lens, evaluating sustainability practices, controversy exposure, and responsible investing criteria. Use when the user asks about ESG investing, sustainable investing, socially responsible investing (SRI), impact investing, green stocks, carbon footprint analysis, governance quality assessment, controversy screening, exclusion lists, or ESG scoring of companies or portfolios.
Use when working on the backend API (packages/api). Covers Elysia routes, Drizzle ORM, TypeBox schemas, JWT authentication, S3 uploads, Google Sheets logging, and the Next.js hybrid setup.