Agent Skills: powershell-shell-detection
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ID: josiahsiegel/claude-plugin-marketplace/powershell-shell-detection
549
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- initCreates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instructions or Claude configuration for a new repository, when an existing AGENTS.md is too long, generic, or stale, when agents repeatedly make avoidable mistakes, or when repository workflows have changed and the agent configuration needs pruning. Applies a discoverability filter—omitting anything Claude can learn from README, code, config, or directory structure—and a quality gate to verify each line remains accurate and operationally significant.
- clean-copyReimplement the current branch on a new branch with a clean, narrative-quality git commit history. Use when asked to make a clean copy branch, clean up commit history by replaying work, or rebuild a branch as reviewable commits.
- backend-integratorComplete guide for integrating a new LLM backend into MassGen. Use when adding a new provider (e.g., Codex, Mistral, DeepSeek) or when auditing an existing backend for missing integration points. Covers all ~15 files that need touching.
- rag-implementationBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
- analyzing-projectsAnalyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
- implementation-strategyChoose supported scope and compatibility boundaries for SDK behavior changes; revisit when feedback changes the design.