Reference guide for Gum's save/load data model. Load this when working with GumProjectSave, ScreenSave, ComponentSave, StandardElementSave, ElementSave, StateSave, VariableSave, InstanceSave, BehaviorSave, or any serialization/deserialization of Gum project files.
Reference guide for Gum's Variables tab and DataUiGrid system. Load this when working on the Variables tab, DataUiGrid control, MemberCategory, InstanceMember, category population, property grid refresh, or category expansion state persistence.
Presentation extraction and slide generation routing
Presentation extraction and slide generation routing
Implement Lean 4 proofs and definitions using lean-lsp tools. Invoke for Lean-language implementation tasks.
Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using LeanSearch, Loogle, and lean-lsp tools.
Review, audit, and validate Power BI semantic models against quality, performance, and best practice standards. Automatically invoke when the user asks to "review a semantic model", "audit a semantic model", "check model quality", "optimize my model", "validate model design", "check AI readiness", "prepare model for Copilot", or mentions model validation or quality assessment.
Investigate datasets from HuggingFace, CSV, or JSON files to understand their structure, fields, and data quality. Trigger whenever you need to explore or inspect a dataset yourself without using pre-written scripts.
Build an industry comp sheet Excel model with deep operational KPIs
Multi-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.
Query BSL semantic models with group_by, aggregate, filter, and visualizations. Use for data analysis from existing semantic tables.
Build BSL semantic models with dimensions, measures, joins, and YAML config. Use for creating/modifying data models.
Autonomously create, test, and optimize skills by detecting reusable patterns in your own work. Use when you notice repeated tool sequences, recurring code patterns across attempts, or insights that should be captured as a packaged skill. Also use to benchmark and iterate on existing skills.
Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to CSV or whatever output format the user prefers. Supports calibration mode for prompt refinement.
Spawn an independent Claude instance in a git worktree to work on a task in parallel. Use when the user wants to delegate a task to run independently while continuing the current conversation.
Guide for adding new AI providers to ClaudeBar using TDD patterns. Use this skill when: (1) Adding a new AI assistant provider (like Antigravity, Cursor, etc.) (2) Creating a usage probe for a CLI tool or local API (3) Following TDD to implement provider integration (4) User asks "how do I add a new provider" or "create a provider for X"
Automated news aggregation and reporting agent.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
