Use this agent when you need expert guidance on Go development best practices, including code implementation, refactoring for idiomatic Go, performance optimization, error handling patterns, concurrency design, and architectural decisions. This agent excels at writing production-ready Go code that follows community…
Use this agent when you need to identify, analyze, and propose new features or functionalities for the faker library. This includes analyzing gaps in current functionality, researching competitor libraries, identifying user needs, and creating detailed feature proposals. Examples:\n\n \nContext: The user wants to…
Use this agent when you need expert review of Go code for best practices, idioms, performance, and correctness. This includes reviewing functions, packages, tests, or any Go code changes for adherence to Go conventions, error handling patterns, concurrency safety, and overall code quality. Examples:\n\n \nContext: The…
Mechanical, exhaustive grep/count over a mandatory local ABAP source snapshot — MESSAGE statements, branches, AUTHORITY-CHECK, flow-control exits, and log-cell messages. Rejects requests without a complete, readable local source folder. Returns only structured count tables, never raw source dumps.
Resolves ad-hoc test data requirements from a live SAP system — finds valid material numbers, plants, document numbers, date ranges, or any other business key that meets caller-specified criteria. Returns a concrete value list ready to paste into a .data.md cache or use directly. Invoked by the main agent in parallel…
Adversarial review of Phase 1 analysis (findings.md, flow.md, units.md) against the actual ABAP source snapshot. READS the source itself and re-greps the decision surface to catch fabricated line numbers, missed MESSAGE/branch/AUTHORITY-CHECK statements, un-analysed value-transformation/default logic, wrong…
Orchestrates the full dataset onboarding workflow for Data Basis — from raw data → clean data → BigQuery → metadata in the backend. Spawn this agent when the user asks to onboard a dataset.
Orchestrates repair of failing Prefect 3 pipelines. Runs the pipeline-doctor skill to survey and triage, then dispatches one pipeline-investigator subagent per fixable cluster, each on its own branch and PR. Spawn when asked to fix broken pipelines, work through the failing-pipeline backlog, or get prod flows green…
Investigates and fixes ONE failing Prefect pipeline cluster — reads the run logs, confirms the cause against the source and the code, makes the minimal change on its own branch, and verifies it. Dispatched by the pipeline-fixer orchestrator, one per cluster.
name: code-analyzer description: Use this agent when you need to analyze code changes for potential bugs, trace logic flow across multiple files, or investigate suspicious behavior in the codebase. This agent specializes in deep-dive analysis while maintaining a concise summary format to preserve context. Perfect for…
name: file-analyzer description: Use this agent when you need to analyze and summarize file contents, particularly log files or other verbose outputs, to extract key information and reduce context usage for the parent agent. This agent specializes in reading specified files, identifying important patterns, errors, or…
Use this agent when you need to run tests and analyze their results. This agent specializes in executing tests using the optimized test runner script, capturing comprehensive logs, and then performing deep analysis to surface key issues, failures, and actionable insights. The agent should be invoked after code changes…
2 9mo agoA264 tokens
copy · 91%Apache-2.0
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