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Found 145 Skills
This skill should be used when verifying that a JIRA ticket meets organizational standards for epic relationships and description quality. It checks epic parent relationships and validates description completeness for coding assistants, developers, and stakeholders.
Execute a complete, deterministic, read-only repository audit and produce a single `improvements.md` action plan with traceable findings (file + lines), severity, category, impact, and high-level fixes. Use when users ask for full code audits, security/performance/architecture reviews, file-by-file analysis, or technical debt mapping without modifying project files.
Three-stage code review protocol: spec compliance, code quality, and domain integrity. Activate when reviewing code, preparing PRs, assessing implementation quality, or checking that code matches requirements. Triggers on: "review this code", "prepare PR", "check implementation", "code quality", "does this match the spec".
Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization
Decision-first data analysis with statistical rigor gates. Use when analyzing CSV, JSON, database exports, API responses, logs, or any structured data to support a business decision. Handles: trend analysis, cohort comparison, A/B test evaluation, distribution profiling, anomaly detection. Do NOT use for codebase analysis (use codebase-analyzer), codebase exploration (use explore-pipeline), or ML model training.
Use when writing, editing, or reviewing Russian-language text, or when user mentions ru-text. Covers typography, info-style, editorial, UX writing, business correspondence. Auto-activates on Russian text output.
Use the harem hierarchical code review system to output structured review conclusions based on the division of labor among the Empress, Four Consorts, and Nine Imperial Concubines
Diagnose research quality and guide systematic query expansion. Use when starting research on any topic, when stuck in research, or when unsure if research is complete.
Use when working with error debugging multi agent review
Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.
Adds documents to golden dataset with validation. Use when curating test data or saving examples.
Use when working with comprehensive review full review