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Found 1,633 Skills
Prompt for generating an AGENTS.md file for a repository
Use this when you need to execute R2 in the sdlc-dev product requirement Spec process, transcribe requirements/solution.md into a deliverable, acceptable, and testable requirements/prd.md, while avoiding guessing file paths, continuing generation when solution.md is missing, or using "Pending Questions/Open Questions" to replace the verification checklist.
Use when you need to execute I2 (Implementation Execution) in the Spec Pack of sdlc-dev, using `{FEATURE_DIR}/implementation/plan.md` as the sole SSOT to implement in batches, run minimal validation, write back audit information, and report at batch checkpoints; stop immediately when encountering blocks or clarification items.
Use when you need to execute I1 (Implementation Plan) in the Spec Pack of sdlc-dev, convert requirements/design into `{FEATURE_DIR}/implementation/plan.md` (the single source of truth (SSOT) for execution checklist and status), and provide an unambiguous task list for subsequent I2 execution.
Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.
Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK
Get best practices for XUnit unit testing, including data-driven tests
Use when you have confirmed the scope of Discover (P0/P1/P2), and now need to quickly build the Level-0 North Star (memory) and Level-1 map layer index skeleton (components/products) under `.aisdlc/project/`, so that you can supplement evidence by module later without double writing and drift.
Used when you need to perform Discover (reverse engineering) on legacy projects with existing code, consolidate repository facts into `.aisdlc/project/`, and you find that AI or teams frequently guess entry points and boundaries, have duplicate writing of indexes and details, or lack evidence chains leading to repeated rework.