Loading...
Loading...
Found 1,893 Skills
Estimate market size using top-down, bottom-up, and triangulation methods. Use for market entry decisions, business planning, investment analysis, and TAM/SAM/SOM calculations.
Systematically investigate social media claims and viral content. Use when fact-checking complex claims, when decomposing multi-part assertions, or when investigating narratives that mix facts with interpretation.
Exploration and Analysis of GitHub Trending. It is used to discover popular open-source projects, technology trends, and developer preferences, helping to understand the interest trends of the technical community.
MLflow ML lifecycle management. Use for ML experiment tracking.
Use when you need hard pass fail eval gates for generated projects and skills; pair with addon-decision-justification-ledger and addon-human-pr-review-gate.
Use when writing Roblox game scripts that handle player actions, currencies, stats, damage, or any RemoteEvent/RemoteFunction communication. Use when reviewing code for exploitable patterns, implementing anti-cheat logic, validating client requests on the server, or setting up rate limiting.
Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.
AscendC Operator End-to-End Development Orchestrator. Used when users need to develop new operators, implement custom operators, or complete the full process from requirements to testing. Keywords: operator development, end-to-end, full process, workflow orchestration, new operator creation.
Maintain JSONL-only profiler performance test cases under csrc/ops/<op>/test in ascend-kernel. Collect data using torch_npu.profiler (with fixed warmup=5 and active=5), aggregate the Total Time(us) from ASCEND_PROFILER_OUTPUT/op_statistic.csv, and output a unified Markdown comparison report (custom operator vs baseline) that includes a DType column. Do not generate perf_cases.json or *_profiler_results.json. Refer to examples/layer_norm_profiler_reference/ for the reference implementation.
LLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on functionality, security, test quality, overengineering, and dead code using weighted rubrics. Used by /beagle:llm-judge command.
Scan crypto wallets and tokens for Sharia (Islamic finance) compliance. Checks tokens against halal/haram criteria including riba (interest), gharar (uncertainty), maysir (gambling), and prohibited protocol types. Outputs per-token verdicts and overall wallet health score.
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.