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Found 793 Skills
Generates a case study aligned with Digital Speed brand voice. Use when asked to write a case study, success story, or client spotlight.
Deterministic AI engineering workflow with multi-agent teams. Triggers: architect mode, consistency sweep, pipeline audit, team workflow
Provides systematic approaches for solving constraint-based scheduling problems, such as finding meeting times that satisfy multiple participant availability windows, preferences, and existing calendar conflicts. This skill should be used when tasks involve scheduling with constraints, calendar conflict resolution, time slot optimization, or finding valid time windows across multiple inputs with hard and soft constraints.
Run ScoutSuite for multi-cloud security auditing. Collects configuration data from AWS, Azure, GCP, Oracle, and Alibaba Cloud and generates an interactive security report.
Guide for performing linear cryptanalysis attacks on FEAL and similar Feistel ciphers. This skill should be used when tasks involve breaking FEAL encryption, recovering cipher keys using known plaintext-ciphertext pairs, or implementing linear cryptanalysis techniques. Applies to cryptographic challenges mentioning "linear attack," "FEAL," "Feistel cipher analysis," or key recovery from plaintext-ciphertext pairs.
Guide for debugging crashes related to custom memory heaps, particularly use-after-free issues caused by static destruction ordering, DEBUG vs RELEASE discrepancies, and custom allocator lifecycle problems. This skill should be used when investigating crashes that occur only in RELEASE builds, memory-related crashes involving custom allocators, static initialization/destruction order issues, or use-after-free bugs in C++ applications.
Guide for debugging and fixing bugs in the OCaml garbage collector, particularly memory management issues in the runtime's sweeping and allocation code. This skill applies when working on OCaml runtime C code, investigating segfaults in GC operations, or fixing pointer arithmetic bugs in memory managers with size-classed pools and run-length encoding.
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SIGINT in asyncio contexts, or managing task cleanup when using semaphores for concurrency limiting. Use when tasks involve asyncio.gather, CancelledError handling, or cleanup of tasks that haven't started execution.
Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTorch models to standalone executables, extracting model weights to portable formats (JSON), implementing neural network forward passes in C/C++, or creating CLI tools that load images and run inference without Python dependencies.
Guidance for building and fixing Cython extensions, particularly for numpy compatibility issues. This skill should be used when tasks involve compiling Cython code, fixing deprecated numpy type errors, or resolving compatibility issues between Cython extensions and modern numpy versions (2.0+).
Collaborative multi-agent planning with iterative deliberation. Use when creating complex plans that benefit from multiple specialist perspectives, cross-review, and consensus-building through discussion rounds.
Motivation science framework based on Daniel Pink's "Drive". Use when you need to: (1) design features that leverage intrinsic motivation, (2) create progress systems that support mastery, (3) craft purpose-driven messaging and missions, (4) audit if product mechanics undermine autonomy, (5) design team structures and incentives with AMP principles (Autonomy, Mastery, Purpose), (6) understand why gamification fails, (7) replace carrot-and-stick approaches with intrinsic motivation.