2.8K skills · sorted by relevance
Inspect automated test results in TestDino, filter runs by branch or environment, and investigate failed or flaky tests—tests with inconsistent outcomes. Use historical runs to explore likely causes and recommendations for a failing test.
Write, debug, and understand Stata code for data cleaning, statistical analysis, causal inference, and charts. The reference covers command syntax, common pitfalls, Mata programming, and community packages for estimation and reporting.
Post or update one GitHub comment for an APM autopilot run. The skill assembles public or debug content, adds an AI-generated disclaimer, and supports previewing the assembled comment before posting.
Record and replay a program with rr to investigate crashes and AddressSanitizer memory errors. Step backward through execution, inspect variables and memory, and extract the sequence of operations leading to a failure.
Create, adapt, or repair a Tutti workspace app as a publishable package or a local debugging setup. It prepares manifests, launch scripts, storage settings, and validation, including fixes for projects that fail to load.
Investigate crashes, hangs, incorrect responses, and other failures by testing hypotheses against observed runtime behavior. Confirm the cause, verify the fix with a reproducing test, check the real workflow, and remove temporary debugging artifacts.
Check installed DOCA versions across package metadata, application files, runtime tools, and BlueField system information. Use the results to investigate build and runtime mismatches, check feature availability, and understand NGC container version tags.
Guide DOCA Management programming for BlueField and ConnectX devices. Set up management contexts, query capabilities, change device settings, and investigate errors, using installed reference samples and checks before and after changes.
Prepare changes to live BlueField or ConnectX hardware with baseline records, a separate management connection, a maintenance window, and rehearsal on matching test hardware. Define verification and rollback steps before applying firmware or configuration changes.
Use pcc_counters.sh to arm and read fixed congestion-control diagnostic counters on ConnectX or BlueField devices. Capture CNP, RTT, and WRED-drop readings, and investigate invalid device paths, empty output, or counters that remain at zero.
Write and debug nvMolKit Python code for processing large molecule batches on GPUs. Covers molecular fingerprints, compact representations of molecular features, plus similarity calculations, 3D conformer generation, optimization, clustering, and molecular searches using RDKit objects.
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.
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Collect Apple Notes automation debug evidence for troubleshooting. Trigger: "apple notes debug".
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Collect AppFolio API debug evidence for support tickets. Trigger: "appfolio debug".
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Diagnose and fix common Apollo.io API errors. Use when encountering Apollo API errors, debugging integration issues, or troubleshooting failed requests. Trigger with phrases like "apollo error", "apollo api error", "debug apollo", "apollo 401", "apollo 429", "apollo troubleshoot".
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Collect Apify debug evidence for support tickets and troubleshooting. Use when an Actor run has failed, is stuck, or produced empty output and you need to gather run metadata, logs, dataset samples, and environment info before opening a support ticket. Trigger with "apify debug", "apify support bundle", "collect apify logs", "apify diagnostic", "apify run failed why".
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Anti-debugging detection and bypass playbook. Use when reversing protected binaries that detect debuggers via ptrace, PEB flags, timing checks, or signal/exception handlers on Linux and Windows.
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Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
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Live Borg debugging by exec-ing into the borg-web-ui Docker container. Use when debugging borg commands, writing tests against real borg output, developing borg 2.0 features, or verifying borg behavior before writing code.
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AI DevKit · Guide structured debugging before code changes by clarifying expected behavior, reproducing issues, identifying likely root causes, and agreeing on a fix plan with validation steps. Use when users ask to debug bugs, investigate regressions, triage incidents, diagnose failing behavior, handle failing tests, analyze production incidents, investigate error spikes, or run root cause analysis (RCA).
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Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.
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Debug iOS apps and profile performance using LLDB, the interactive Memory Graph Debugger, and Instruments. Use for crashes, retain-cycle inspection, hangs, build failures, and generic CPU, memory, energy, or network profiling. Use ios-memgraph-analysis for .memgraph capture, leaks CLI ownership paths, or persistent heap growth; use ios-ettrace-performance for ETTrace capture and JSON.
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WeChat Mini Program development skill for building, debugging, previewing, testing, publishing, and optimizing mini program projects (小程序开发、调试、预览、发布). Covers project structure and config (`project.config.json`, `appid`, `miniprogramRoot`, `tabBar`, routing/navigation, icon assets), WeChat Developer Tools Nightly workflows (`wechatide` CLI, WeChat IDE Skills/MCP), `miniprogram-ci` preview/upload, console/network debugging, message push (消息推送) and customer-service auto-reply (客服消息), mini program SEO / search indexing (小程序搜索优化、页面收录、搜索推广、mpcrawler), and CloudBase integration (`wx.cloud`, 腾讯云开发, 云开发) when explicitly used. Use when users create, develop, modify, debug, preview, deploy, publish, or promote WeChat Mini Programs. NOT for Web frontend (use web-development), pure backend services (use cloudrun-development / cloud-functions), or UI-design-only tasks (use ui-design).
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Debug crashes and test failures via stack-traces, host/device logging, DSL buffer inspection, and add_debug_checks kernel restrict-mode guards.
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