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Found 206 Skills
Code review with focus on quality, security, and best practices
Run test → fix → refactor loop with TDD workflow
Triage unresolved PR review comments, produce a severity-ordered fix plan, then resolve or fix each issue with subagents. Use when addressing PR feedback before merge.
Conduct thorough code reviews with structured feedback on security, performance, architecture, and testing. Generates trackable review documents with prioritized issues (critical/required/suggestions) and educational content. Use when reviewing PRs or code changes. Triggers on "review this code", "code review", "review PR".
Use this skill when you need to generate test reports with summary, metrics, defect analysis, and risk assessment; triggers include test reporting and QA status report.
Use when reviewing storyboard outputs at any production stage (beat breakdown, beat board, sequence board, motion prompts), providing quality assurance feedback, or identifying revision requirements for Director agent
Ann — Master Orchestrator for MEL/SRHR work. Use when Ane brings any analytical, evaluation, SRHR, or structured-output task. Ann classifies task complexity, queries the MEL Wiki, retrieves knowledge, creates an implementation plan (verifies with user for complex tasks), delegates to Vi for execution, runs a 5-point quality gate, and delivers. General-purpose — not tied to any specific project.
Generate a requirements-quality checklist for an OpenSpec change and run it against the proposal/design/tasks/delta — validating completeness, clarity, consistency, and testability BEFORE you approve the spec. Modeled on GitHub Spec-Kit's /checklist. Use when reviewing a spec at the human approval gate, or before launching implementation, to catch under-specified requirements early.
Configure LangWatch online evaluations and guardrails for production traffic. Use when the user wants to score live traces or threads, monitor production quality, sample incoming traffic, or synchronously block unsafe requests and responses. Do not use for batch experiments.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).
Adaptive test-driven development cycle. Detects harness capabilities and routes to guided (manual phase control) or automated (orchestrated) mode. Invoke with /tdd for automated or /tdd red|domain|green|commit for guided.
Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.