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Found 9,234 Skills
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
Transform source material (articles, papers, news, tech content, or any topic) into short, dramatic, entertaining conversational snippets with delivery stage directions. Extracts ONE interesting nugget, dramatizes it with storytelling techniques, and annotates with pauses, voice modulation, gestures, and expressions so even the most introverted engineer can deliver it naturally and engagingly to his girlfriend or partner. Use when: - User wants to turn an article or topic into something to tell their girlfriend/partner - User asks to make technical content conversational or girlfriend-friendly - User wants a casual script for sharing something interesting - User mentions "say to her", "tell her about", "explain to my girlfriend" - User wants dinner conversation material or talking points from source material Triggers: "say to her", "tell my girlfriend", "girlfriend-friendly", "make it conversational", "how do I explain this to her", "turn this into something I can say", "dinner conversation"
Presentation creation, editing, and analysis. Used when Claude needs to handle presentation files (.pptx), including: (1) creating new presentations, (2) modifying or editing content, (3) handling layouts, (4) adding comments or speaker notes, or any other presentation-related tasks
将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。
Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging. Includes extended thinking integration for complex debugging scenarios.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Go application architecture with net/http 1.22+ routing, project structure patterns, graceful shutdown, and dependency injection. Use when building Go web servers, designing project layout, or structuring application dependencies.
Reviews Elixir code for performance issues including GenServer bottlenecks, memory usage, and concurrency patterns. Use when reviewing high-throughput code or investigating performance issues.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. Originally from OpenAI's curated skills catalog.
Generate integration tests for ASP.NET Core ABP Framework application services and HTTP APIs. Use when the user requests integration tests, end-to-end tests, API tests, or wants to verify ABP framework integration points (repositories, authorization, validation, multi-tenancy, unit-of-work, data filters). Trigger even if the user just says "add tests" for an ApplicationService — ask if they want unit or integration tests.
Generates detailed, architect-quality GitHub issues from short instructions. Analyzes the project's actual stack, architecture, and codebase before writing. Detects duplicate issues with intelligent multi-strategy search, validates and creates labels, enforces title conventions, controls scope, and publishes via `gh` CLI with robust error handling. Use this skill whenever the user wants to create a GitHub issue, report a bug, propose a feature, request a refactor, or file any kind of technical issue — even if they just say something brief like "we need to fix the auth flow" or "create an issue for X". Also triggers on: "open an issue", "file a bug", "I want to propose...", "add this to the backlog", "gh issue", or any request that implies creating a trackable work item on GitHub.
Graph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants, unnecessary test statements, and call graph data to identify false positives, missing test coverage, and fuzzing targets. Use when triaging survived mutants, analyzing mutation testing results, identifying test gaps, finding fuzzing targets from weak tests, running mutation frameworks (including circomvent and cairo-mutants), or using necessist.