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Found 770 Skills
Guidance for fixing LaTeX overfull hbox warnings by replacing words with shorter synonyms from an allowed list. This skill applies when tasks involve modifying LaTeX documents to eliminate typographic warnings while adhering to strict word replacement constraints. Use when dealing with synonym-constrained text editing in LaTeX or similar markup languages.
Configures and integrates SAP Master Data Integration (MDI) service on SAP Business Technology Platform. Use when setting up MDI tenants, connecting applications (S/4HANA, SuccessFactors, Ariba, Fieldglass, etc.), configuring distribution models, SOAP APIs for business partners, extensibility, or troubleshooting master data replication. Covers One Domain Model integration, Business Data Orchestration, client authentication (OAuth2, mTLS), and security configurations.
Use when a TypeScript/JavaScript task needs symbol navigation (`nav declarations|definition|references`), structural pattern search (`search`), structural rewrites (`patch`), or reference-based blast-radius estimation (`code-rank`). Prefer for compact, scoped repository analysis and migration work; do not use for runtime-path proofs, correctness guarantees, or replacing compiler/tests.
Implement ReasoningBank adaptive learning with AgentDBs 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
Use when setting up UI test recording in Xcode 26, enhancing recorded tests for stability, or configuring test plans for multi-configuration replay. Based on WWDC 2025-344 "Record, replay, and review".
VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.
Draft, rewrite, or condense emails with target tone, length, and audience; use for cold outreach, replies, status updates, or escalations where clarity and brevity matter.
Review and fix PR review bot findings on current PR, loop until resolved. Fetches unanswered bot comments, evaluates each finding, fixes real bugs, dismisses false positives, and replies to every comment with the outcome.
Expertise in real-time multiplayer networking, lag compensation, and authoritative server architectureUse when "multiplayer game, netcode, client-server game, P2P networking, lag compensation, rollback networking, game server, matchmaking, lobby system, player synchronization, state replication, dedicated server, authoritative server, tick rate, network prediction, interpolation, extrapolation, GGPO, lockstep, real-time multiplayer, networking, multiplayer, gamedev, realtime, client-server, p2p, netcode, synchronization, lag-compensation, matchmaking" mentioned.
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
Fixes flaky tests by replacing arbitrary timeouts with condition polling. Use when tests fail intermittently, have setTimeout delays, or involve async operations that need proper wait conditions.
Configures Depot-managed GitHub Actions runners as a drop-in replacement for GitHub-hosted runners. Use when setting up or migrating GitHub Actions workflows to use Depot runners, choosing runner sizes (CPU/RAM), configuring runs-on labels, setting up ARM or Windows or macOS runners, troubleshooting GitHub Actions runner issues, configuring egress filtering, using Depot Cache with GitHub Actions, or running Dagger/Dependabot on Depot runners. Also use when the user mentions depot-ubuntu, depot-windows, depot-macos runner labels, or asks about faster/cheaper GitHub Actions runners.