监控
日志、指标与可观测性
menu-debug
openharmonyinsight
This skill should be used when user asks to "Menu宽度为0", "Menu宽度问题", "Menu显示异常", "Menu子窗口问题", "Menu layout异常", "recreate subwindow", "快速打开Menu问题", "Menu闪退", "Menu位置错误", "子窗口recreate", "Menu崩溃", "Menu打印recreate", "点击无响应", "点击菜单关闭", "菜单位置左上角", "菜单方向不对", "菜单避让坑", "宽度高度为0", or mentions any Menu component issues like Menu width being 0, Menu display problems, Menu subwindow issues, Menu layout exceptions, positioning errors, crashes, click response issues, menu closing immediately, incorrect positioning, direction issues, safe area issues, or zero width/height problems. Provides systematic debugging guidance for Menu component issues including width problems, subwindow recreation, layout exceptions, positioning errors, crash analysis, click issues, menu positioning, and dimension problems with automatic log enhancement patch generation.
Analyze current directory
openharmonyinsight
ux-heart-metrics
geekatron
"HEART Metrics framework sub-skill for the /user-experience parent skill. Applies Google's HEART framework (Happiness, Engagement, Adoption, Retention, Task Success) using the Goals-Signals-Metrics (GSM) process to define measurable UX metrics for products and features. Invoked by ux-orchestrator when users need to measure UX health, define UX metrics, establish measurement baselines, or produce dashboard-ready metric specifications. Sub-skill of /user-experience; routed via ux-orchestrator lifecycle-stage triage. Triggers: HEART, metrics, happiness, engagement, adoption, retention, task success, GSM, measurement, UX metrics, dashboard, goals signals metrics."
observability-first-debugging
NTCoding
"Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution. Triggers on: debugging, error investigation, 'why is this failing', unexpected behavior, test failures, non-zero exit codes, stack traces."
go-google-best-practices
metalagman
Expertise in Go programming according to the Google Go Best Practices. Focuses on actionable advice for naming, error handling, performance, testing, and general idiomatic Go to ensure high-quality, maintainable, and efficient codebases.
cascade-workflow
rysweet
Graceful degradation through cascading fallback strategies - ensures system always completes while maintaining acceptable functionality
session-log
michalparkola
Summarize the current conversation session and append results to the weekly agent-log. Use when user says "log this", "session log", "summarize this session", or asks to write results to the agent-log.
performance-profiling
HeshamFS
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
Ubuntu Deployment Skill
markus41
Permission issues sudo chown -R $USER:$USER /opt/homeassistant
trace-qa
MooseGoose0701
Analyze and answer questions about agent execution traces. Use this skill when the user asks about a trace, wants to debug a failed agent run, understand what an agent did, analyze token usage or efficiency, or asks "what happened in trace X". Triggers: trace analysis, trace debugging, trace QA, execution review, agent run review.
screenshot-cli
Mic92
Take screenshots. Use when needing to see the screen or debug graphical issues.
orchestration-best-practices
peterbamuhigire
Master skill for orchestrating multi-step workflows. Use when generating code for complex processes, agent coordination, or system design. Ensures proper step definition, dependency tracking, error handling, and validation.
debugger
zhaono1
Advanced debugging specialist for diagnosing and resolving code issues. Use when user encounters bugs, errors, unexpected behavior, or mentions debugging.
ab-test-setup
boisenoise
"Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness."
finding-expensive-queries
AltimateAI
Finds and ranks expensive Snowflake queries by cost, time, or data scanned. Use when: (1) User asks to find slow, expensive, or problematic queries (2) Task mentions "query history", "top queries", "most expensive", or "slowest queries" (3) Analyzing warehouse costs or identifying optimization candidates (4) Finding queries that scan the most data or have the most spillage Returns ranked list of queries with metrics and optimization recommendations.
Monitor CI Command
nrwl
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monitor-ci
nrwl
Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. ALWAYS USE THIS SKILL instead of native CI provider tools (gh, glab, etc.) for CI monitoring.
mobile
salavender
Expertise in mobile responsiveness, specifically table patterns and standard UI component styling.
linear-time
Finesssee
Track time on Linear issues. Use for logging and viewing time entries.
earnings-conf-call-sentiment
OctagonAI
Analyze the overall sentiment and tone of management during earnings conference calls, including confidence levels, optimism indicators, and forward-looking language.
earnings-capital-allocation
OctagonAI
Extract management's commentary on capital allocation, investment priorities, shareholder returns, and strategic investments from earnings call transcripts.
balance-sheet
OctagonAI
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
ratings-snapshot
OctagonAI
Retrieve ratings snapshot with overall rating and key metric scores including DCF, ROE, ROA, Debt-to-Equity, P/E, and P/B for public companies. Use when screening stocks, comparing quality metrics, or quick fundamental assessment.
historical-financial-ratings
OctagonAI
Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.