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Found 2,256 Skills
Time-boxed technical investigation with structured output. Use for feasibility studies, architecture exploration, integration assessment, performance analysis, or risk evaluation. Creates spike tasks in ohno, enforces time-boxing, generates spike reports, and creates actionable follow-up tasks.
Generates structured changelogs and release notes from git history and PR descriptions. Classifies changes into breaking, features, fixes, performance, and docs. Filters internal-only changes, detects breaking changes, and produces human-readable entries linked to source PRs. Triggers on: "generate changelog", "write release notes", "compose changelog", "what changed since", "changes since last release", "prepare release", "release notes for", "changelog for", "summarize changes", "diff since tag". Use this skill when preparing a release and needing to summarize changes for users.
Stock prices, funds, gold, silver, crypto, macro indicators, bank rates, price charts, and company financials (income statement, balance sheet, cash flow, ratios). Use when user asks about stock prices, gold/silver prices, fund performance, interest rates, macro data, price history charts, or company financial statements.
React rendering performance patterns. Use when reducing re-renders, optimizing memoization, state design, or reviewing React performance.
JavaScript runtime performance patterns for hot paths, loops, DOM operations, caching, and data structures. Framework-agnostic.
Analyze previous Jetty workflow runs and propose targeted improvements to your runbook. Use when the user wants to optimize, improve, or debug a runbook based on past execution results — including 'optimize runbook', 'improve runbook', 'why is my runbook failing', 'analyze my runs', 'runbook not working well', 'make my runbook better', 'debug runbook performance', or 'learn from past runs'. Also trigger when the user mentions trajectory analysis, run patterns, or evaluation score improvements.
Analyze financial health using ratio categories: profitability, liquidity, leverage, efficiency, and valuation. Use this skill when the user needs to assess a company's financial performance, compare companies, evaluate creditworthiness, or prepare financial due diligence — even if they say 'is this company financially healthy', 'analyze these financial statements', or 'compare these two companies'.
Apply the Fama-French three-factor model to decompose asset returns into market, size, and value factors. Use this skill when the user needs to explain cross-sectional return differences, evaluate fund performance beyond CAPM alpha, assess small-cap or value tilts in a portfolio, or when they ask 'why do small caps earn more', 'is value premium real', or 'what factors drive returns'.
Evaluate the performance of Triton operators on Ascend NPU. It is used when users need to analyze operator performance bottlenecks, collect and compare operator performance using msprof/msprof op, diagnose Memory-Bound/Compute-Bound bottlenecks, measure hardware utilization metrics, and generate performance evaluation reports.
HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters. Use for testing distributed communication bandwidth, verifying HCCL functionality, and benchmarking collective operations like AllReduce, AllGather. Covers MPI installation, multi-node pre-flight checks (SSH/CANN version/NPU health), and production testing workflows.
Run system health checks including CPU, memory, disk, and process status. Use when: user asks about system performance, needs diagnostics, or wants to check resource usage. No API key needed.
Building decay and upkeep systems for survival games. Use when implementing timer-based decay, Tool Cupboard patterns (Rust-style protection radius), resource upkeep costs, or server performance management through automatic cleanup. Balances gameplay and server health.