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Found 1,694 Skills
Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Database for PostgreSQL applications. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).
Guides structured 4-stage experiment execution with attempt budgets and gate conditions: Stage 1 initial implementation (reproduce baseline), Stage 2 hyperparameter tuning, Stage 3 proposed method validation, Stage 4 ablation study. Integrates with evo-memory (load prior strategies, trigger IVE/ESE) and experiment-craft (5-step diagnostic on failure). Use when: user has a planned experiment, needs to reproduce baselines, organize experiment workflow, or systematically validate a method. Do NOT use for debugging a specific experiment failure (use experiment-craft) or designing which experiments to run (use paper-planning).
Use this skill when working on technical SEO infrastructure - crawlability, indexing, XML sitemaps, canonical URLs, robots.txt, redirect chains, rendering strategies (SSR/SSG/ISR/CSR), crawl budget optimization, and search engine rendering. Triggers on fixing indexing issues, configuring crawl directives, choosing rendering strategies for SEO, debugging Google Search Console errors, or auditing site architecture for search engines.
Configure and collect crash dumps for modern .NET applications. USE FOR: enabling automatic crash dumps for CoreCLR or NativeAOT, capturing dumps from running .NET processes, setting up dump collection in Docker or Kubernetes, using dotnet-dump collect or createdump. DO NOT USE FOR: analyzing or debugging dumps, post-mortem investigation with lldb/windbg/dotnet-dump analyze, profiling or tracing, or for .NET Framework processes.
Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, styling, theming, custom controls, and cross-platform deployment for Windows, macOS, Linux, iOS, Android, and WebAssembly.
Instrument, trace, evaluate, and monitor LLM applications and AI agents with LangSmith. Use when setting up observability for LLM pipelines, running offline or online evaluations, managing prompts in the Prompt Hub, creating datasets for regression testing, or deploying agent servers. Triggers on: langsmith, langchain tracing, llm tracing, llm observability, llm evaluation, trace llm calls, @traceable, wrap_openai, langsmith evaluate, langsmith dataset, langsmith feedback, langsmith prompt hub, langsmith project, llm monitoring, llm debugging, llm quality, openevals, langsmith cli, langsmith experiment, annotate llm, llm judge.
Bluedot platform help — bot-free AI note-taker with video recording, Chrome extension + desktop/mobile apps, Svix webhooks, screen recording with webcam overlay. Use when setting up Bluedot for a sales team, configuring Bluedot webhook integrations, syncing Bluedot meeting notes to HubSpot or Salesforce, troubleshooting Bluedot desktop app crashes or recording drops, choosing between Bluedot plans (Free/Basic/Pro/Business), comparing Bluedot vs Fathom or Fireflies for bot-free recording, or debugging Bluedot Chrome extension issues in managed IT environments. Do NOT use for comparing all note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
Access PUDL table data plus table/column/source metadata in Jupyter or Marimo notebooks for debugging and visualization. Use when users ask what a table contains, how to read it, or how columns are defined.
Master control flow for complex Web/JS website restoration. Applicable to reverse engineering of sign/token/cookie/header/body/websocket fields, heavy obfuscation, junk code, control flow flattening, JSVMP, worker/wasm, browser vs. Node.js difference analysis, environment patching, local reproduction and regression. It also covers case clues such as Akamai/Kasada/PX/reese84/TongDun/a_bogus/Tencent slider/Alibaba slider/JSVMP/227/226/wasm/protobuf/rid/fuid/fs/bx-pp/run_js/storage.estimate/animationend. By default, it adopts three MCP collaborative debugging and analysis: jshook + js-reverse + chrome-devtools-mcp, and switches specialized skills in locate, recover, runtime, env-patch, replay stages.
Blockbench plugin/extension development for the 3D modeling tool. Use when creating, modifying, or debugging JavaScript plugins for Blockbench including actions, dialogs, panels, menus, toolbars, model manipulation, animation APIs, and custom formats/codecs. Triggers on Blockbench plugin, Blockbench extension, Blockbench API, BBPlugin, model editor plugin, or 3D modeling tool extension.
Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern, per-architecture configs (sm80–sm120), parameter space design (tile sizes, occupancy, num_ctas), and 7 common pitfalls with solutions.
Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.