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Found 2,726 Skills
Blender tooling specialist - Builds Python add-ons, asset validators, exporters, and pipeline automations that turn repetitive DCC work into reliable one-click workflows
Validate pending migrations for foreign key consistency, rollback safety, and best practices
Validate whether an implementation matches its stated goal. Use this skill when a skill or agent wants a second opinion on its own output, when the user says "check this implementation", "validate what you did", "is this correct?", "review the output", or "did you do this right?". Also spawned automatically as a subagent by other skills (memory-bridge, daily-update) to self-check their outputs before presenting to the user. Returns a structured pass/warn/fail verdict with specific actionable issues.
Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template
Generate PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports from structured JSON input using PaperJSX.
Create animated GIFs optimized for Slack with validators for size constraints and composable animation primitives.
Generate, validate, and manage Israeli e-invoices (hashbonit electronit) per Tax Authority (SHAAM) standards. Use when user asks to create Israeli invoices, request allocation numbers, validate invoice compliance, or asks about "hashbonit", "e-invoice", "SHAAM", "allocation number", or Israeli invoicing requirements. Supports tax invoice (300), tax invoice/receipt (305), credit invoice (310), receipt (320), and proforma (330) types. Do NOT use for general accounting, bookkeeping, or non-Israeli invoice formats.
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
Generates production-ready Python code following PEP standards, type hints, and clean code principles. Use when user requests Python implementation of classes, functions, services, or modules. Triggers on "implement", "write", "Python code", "create class", "create function", "code for".
L2 AI-driven web UI testing for a React/Vite dashboard app. Originally authored against the Onsager Dashboard (the body's route table + file paths are Onsager-shaped); other React dashboards fork the procedure and substitute their own routes / test paths. Use when testing UI on PRs, triaging L1 test failures, or verifying UI behavior at desktop + mobile viewports. Triggers include "test the UI", "check the dashboard", "triage L1 failure", "run L2 tests", "validate this PR", "exploratory test the web app".
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
Check whether AutoDeploy YAML configs were actually applied by analyzing server logs and optionally graph dumps (AD_DUMP_GRAPHS_DIR). Use when the user wants to verify config application, debug config issues, or check if AutoDeploy transforms (piecewise CUDA graph, multi-stream, sharding, fusion, etc.) were applied or fell back. Triggers on: "check config", "verify config", "ad-conf-check", "were my configs applied", "config not working", "check if piecewise is enabled", "check log for config", or any request to compare AD YAML settings against runtime behavior.