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Found 141 Skills
Use when working with performance testing review multi agent review
API contract audit worker (L3). Checks layer leakage in method signatures, missing DTOs, entity leakage to API, inconsistent error contracts, redundant method overloads. Returns findings with 4-score model (compliance, completeness, quality, implementation).
Adds documents to golden dataset with validation. Use when curating test data or saving examples.
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structure; or when generating prompt variations for different use cases. Covers quality assessment, targeted improvements, and automatic optimization across techniques like CoT, few-shot learning, role-play, and 50+ more.
Review code for best practices, security issues, and potential bugs. Use when reviewing code changes, checking PRs, analyzing code quality, or performing security audits.
Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.
Run a comprehensive data quality assessment and produce a scorecard across 6 dimensions: completeness, uniqueness, consistency, timeliness, accuracy, validity. Use when the user asks about data quality, mentions data issues, wants to audit a table, is onboarding a new data source, or needs to validate pipeline output.
Detects common LLM coding agent artifacts by spawning 4 parallel subagents
Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports. Creates comprehensive dataset profiles with metadata, sample information, and download links. Use when users need expression data, omics datasets, or mention ArrayExpress (E-MTAB, E-GEOD) or BioStudies (S-BSST) accessions.
Test suite audit coordinator (L2). Delegates to 5 workers (Business Logic, E2E, Value, Coverage, Isolation). Aggregates results, creates Linear task in Epic 0.
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
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.