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Found 5,841 Skills
C/C++/CAPL best practices for automotive embedded systems. This skill should be used when writing, reviewing, or refactoring embedded C/C++ code or CAPL scripts targeting automotive ECUs, following MISRA, AUTOSAR, ISO 26262, and ISO 21434 guidelines. Triggers on tasks involving embedded firmware, CAN/CAN FD/LIN/Ethernet communication, TCP/UDP/DoIP/SOME-IP protocols, RTOS programming, safety-critical code, cybersecurity, diagnostics (UDS), CAPL test automation, or calibration toolchain integration.
Critically assess external feedback (code reviews, AI reviewers, PR comments) and decide which suggestions to apply using a confidence-based framework with adversarial verification. Use when the user asks to "evaluate findings", "assess review comments", "triage review feedback", "evaluate review output", or "filter false positives".
Launch the app and hands-on verify that changes work by interacting with it. Use when the user asks to "smoke test", "test it manually", "verify it works", "try it out", "run a smoke test", "check it in the browser", or "does it actually work". Not for unit/integration tests.
Decompose work into well-sized, well-ordered implementation units and plan each one thoroughly. Use when the user asks to "plan this implementation", "break this into steps", "help me plan the work", "decompose this into tasks", "create an implementation plan", "how should I break down this project", or "size this work".
Intelligently upgrade npm dependencies with breaking change research for major version updates. Use when the user asks to "update dependencies", "upgrade npm packages", "check for updates", or "update npm deps".
Provides strategic insights on AI-driven software democratization and agent-based development trends from Replit's perspective. Use when discussing the future of software engineering, AI agent infrastructure requirements, democratization of coding, or when analyzing how AI will transform software creation from expert-only to universal access. Triggers include questions about software engineering automation trends, agent sandbox environments, SWE-bench benchmarks, or strategic implications of AI coding assistants for startups and enterprises.
Complete Amazon KDP bestseller launch system with proven strategies for achieving
Activate when the user mentions their Obsidian vault, notes, tags, frontmatter, daily notes, backup, or sync. Route operations across MCP, Obsidian CLI/app actions, and git sync with safe defaults.
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies
Use when storing project artifacts in basic memory storage.
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".