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Found 6,268 Skills
Connect to IDA databases and bootstrap sessions. Use when starting analysis, routing to other skills, or setting up CLI/HTTP/MCP connections.
Set up a Markdown-based local ticket management system for your project. Create task, bug, and chapter tickets in the .local/ticket/ directory, and track progress using checklists. It can be used casually since it is not managed by Git. Language and framework agnostic. Use when requested: "introduce ticket system", "task management with Markdown", "set up local ticket management", "create ticket", "create bug ticket", "create chapter", "create epic", "local ticket system", "setup ticket management".
Bulk-import many components from an existing codebase to Subframe in one CLI batch. Use only when the user explicitly asks to use this exact skill. Available for select teams.
Write a high-quality prompt for any LLM or AI assistant — Claude, Claude Code, ChatGPT, Gemini, Cursor, Windsurf, Copilot, or any coding / chat agent. Use this skill whenever the user asks to write, improve, refine, shorten, or rewrite a prompt; asks "how should I phrase this for [model]" or "what's a good prompt for [task]"; describes a task they want an AI to do but hasn't yet formulated it as a prompt; or pastes an existing prompt and asks for revision. Based on Boris's (Anthropic, Claude Code creator) prompt methodology — short and accurate prompts, plan-before-code, feedback loops, persistent context in files. The universal principles (short, plan-first, feedback-loop, no-padding) apply to any LLM; the Claude-Code-specific anchors (CLAUDE.md, @file, slash commands) only apply when the target is Claude Code. If the user's intent is unclear (target model, deliverable, scope, or whether the AI has a way to self-verify is missing), ask 1–3 targeted clarifying questions via AskUserQuestion before writing the prompt.
Guide for adding a new benchmark or training environment to NeMo-Gym. Use when the user asks to add, create, or integrate a benchmark, evaluation, training environment, or resources server into NeMo-Gym. Also use when wrapping an existing 3rd-party benchmark library. Covers the full workflow: data preparation, resources server implementation, agent wiring, YAML config, testing, and reward profiling (baselining). Triggered by: "add benchmark", "new resources server", "integrate benchmark", "wrap benchmark", "add training environment", "add eval".
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger.
Wang Jianshuo's thinking framework and expression style. Based on 7 in-depth researches (about 1 million words of English blogs + about 1.09 million words of Chinese blogs, 2002–2022, all first-hand), 7 core mental models, 10 decision-making heuristics and a complete bilingual expression DNA are extracted. Purpose: Write, respond and think from Wang Jianshuo's identity and voice—he is plain, sincere and curious, loves to use everyday metaphors and self-created words, repeatedly builds ladders between the concrete and the abstract, and never writes anything he hasn't personally verified. Activate when users mention phrases like "from Wang Jianshuo's perspective", "what would Wang Jianshuo think", "Wang Jianshuo's mode", "write like Wang Jianshuo", "Jian Shuo Wang perspective", "switch to Wang Jianshuo". It should also be triggered even if users only say "help me think from Wang Jianshuo's angle" or "how would Wang Jianshuo write this article". Once activated, all subsequent responses in this conversation will maintain Wang Jianshuo's identity until the user explicitly says "exit"—no need to name him repeatedly in each round. Inapplicable scenarios: When users ask for objective introductions or factual inquiries about Wang Jianshuo himself (such as "Who is Wang Jianshuo" or "When did he start his business"), answer such questions normally without entering role-playing.
Execute the /integrate command for LLM agents. Triggers when the user types `/integrate`, `/integrate --product`, or asks to "integrate a Juspay product", "set up payments", "add payment SDK", or any variation of setting up a Juspay product into their app or codebase. This skill drives a fully guided, doc-driven wizard: it reads product summaries locally, probes candidates via MCP, then fetches actual documentation pages and generates complete integration code.
Generates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "保持这个风格重画", "按这张图风格生成", or "style transfer with new content".
Deploy and operate SecurityClaw, an autonomous SOC agent with RAG-based threat detection, LLM-powered anomaly analysis, and skill-based security automation
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK, supporting listing and viewing Catalogs, databases, tables with their detailed information and Schema definitions. Use cases: "list available Catalogs", "list databases", "view table schema", "search tables", "search tables by name", "fuzzy search", "view DLF metadata", "what databases are in the data lake", "what columns does a table have", "find tables whose name contains xxx". This Skill only contains read-only operations — no create, modify, or delete operations.
Quick BI-SmartQ skill with multiple data analysis capabilities: 1. **File Q&A**: Upload Excel/CSV files for intelligent analysis via Quick BI API 2. **Dataset Q&A**: Natural language queries on Quick BI platform datasets, with automatic intelligent table selection and matching 3. **Document Parsing**: Parse PDF/Word/Excel/CSV/images, extract text, and support extracting key fields to generate structured Excel 4. **Dashboard Skill Generation**: Auto-convert QuickBI dashboards into data query skills 5. **Data Insight**: Deep data insight analysis on Quick BI datasets 6. **Data Report**: Auto-generate professional data reports based on analysis results Use when users mention data analysis, smart Q&A, querying data, file analysis, document parsing, dashboard skills, data insight, or data reports.