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Found 7,108 Skills
Comprehensive psychoeducation on mental health conditions, therapy modalities, evidence-based coping techniques, psychiatric medications, and self-assessment frameworks. Educational resource only — not medical advice, diagnosis, or treatment. Use when learning about mental health concepts, understanding therapy options, exploring coping strategies, or recognizing when to seek professional help. Trigger on "mental health", "therapy types", "coping strategies", "anxiety", "depression", "ADHD", "psychiatric medication", "when should I see a therapist".
Python data processing with pandas, openpyxl, and lxml. Covers DataFrame operations, Excel I/O, XML parsing, bulk data transformation, and large-file handling. Use when processing tabular data, spreadsheets, or XML in Python. USE WHEN: user mentions "pandas", "DataFrame", "openpyxl", "read_excel", "lxml", "XPath", "CSV processing", "Excel parsing", "bulk data", "large file", "data transformation", "UTF-16", "codecs" DO NOT USE FOR: SQL databases (use sql-expert), NumPy-only math, ML/training
Follow this sub-process when fixing bugs—turn the verbal description of "discovered a problem" into a closed loop of verification and repair, leaving three documents in the middle: issue report, root cause analysis, and repair record. This process adds a buffer between "seeing the problem" and "starting to modify code", avoiding several common pitfalls: the problem description in your mind disappears after modification, fixing only the surface without analyzing the root cause, uncontrollable expansion of repair scope that cannot be traced, and not knowing if the fix is correct without verification after modification. This skill only acts as a router, deciding which of report / analyze / fix to proceed with based on existing outputs. For simple problems that can be identified at a glance, a fast track will be taken, skipping the two middle steps and only keeping the fix-note.
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.
Amazon repricing strategy advisor — competitive pricing rules, Buy Box optimization, margin protection, and repricing tool selection. Builds custom repricing logic based on your goals: Buy Box win rate, margin targets, or velocity.
NeuroForge QA is a QA/UX review system grounded in the 30 Laws of UX and QA engineering standards. Works with ANY framework, language, or software — React, Vue, iOS, Android, APIs, wireframes, or plain descriptions. On activation it scans the project and creates (or reads existing) files in a /neuroforge/ folder: project analysis, UX audit, risk register, accessibility audit, and test cases in /neuroforge/test-cases/. Treats these files as single source of truth, updating incrementally. Trigger on: "review my UI", "audit this design", "write test cases", "check my UX", "QA this flow", "critique my wireframe", "write tests for", "find bugs in", any screenshot shared for feedback, or any request for QA or UX analysis of a product, screen, flow, or codebase. When in doubt, trigger.
Guides systematic PyTorch recommender-system model development across compact data facts, existing source code, configs, focused tests, and training loops without overloading context from broad research archives. Use when building, debugging, or refactoring torch/nn.Module RecSys models with Transformer/HSTU/attention blocks, sparse/dense/list feature fusion, pCVR/CTR heads, ablation axes, or competition codebases where many model ideas exist but bugs and interface drift must be controlled. 用来指导推荐系统 PyTorch 模型开发、Transformer/HSTU 建模、关键数据事实、特征交互、shape/debug、训练闭环和已有模型结构的系统化推进。
Use when adding Auth0 login, logout, and callback handling to Java Servlet web applications - integrates com.auth0:mvc-auth-commons SDK for server-side Java apps using javax.servlet with session-based authentication. Triggers on AuthenticationController, AuthorizeUrl, Tokens, IdentityVerificationException, Java MVC auth.
Pay HTTP 402 payment challenges issued by OKX's Agent Payments Protocol (APP) on X Layer using tokens from any chain via the Uniswap Trading API. Use this skill whenever the user encounters a 402 challenge whose network resolves to X Layer (chain 196), mentions "APP", "Agent Payments Protocol", "OKX agent payment", "OKX Onchain OS", "OKX agentic wallet", "x402 on X Layer", "USDT0", "x42", "Instant Payment", "Batch Payment", "pay for X Layer API", or wants to pay an OKX-backed merchant. Even when the user does not explicitly say APP, prefer this skill for any 402 challenge whose network resolves to X Layer (chain 196). For 402 challenges on other chains (Ethereum, Base, Arbitrum, Tempo) use pay-with-any-token instead.
Generate and install a custom Claude Code status line with selectable columns (model, context, effort level, git, dir, worktree, vim) and a color theme. Context and effort elements color-change based on level. Triggers on "status line", "statusline", "customize status", "status bar", "effort level display", "状态栏", "ステータスライン", or similar.
Knowledge-base steward in the spirit of Niklas Luhmann's Zettelkasten. Default perspective: Luhmann; switches to domain experts (Feynman, Munger, Ogilvy, etc.) by task. Enforces atomic notes, connectivity, and validation loops. Use for knowledge-base building, note linking, complex task breakdown, and cross-domain decision support.
Use when the user wants to create or update a DDD-style ubiquitous language glossary, define domain terms, resolve ambiguous terminology, harden naming, or write UBIQUITOUS_LANGUAGE.md from the current conversation and codebase context.