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Found 2,040 Skills
Guide for building high-quality MCP (Model Context Protocol) servers in Python or Node/TypeScript to integrate external APIs/services.
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
Use when adding login, logout, and user profile to a Flask web application using session-based authentication - integrates auth0-server-python for server-rendered apps with login/callback/profile/logout flows.
Handle Word document (.docx) creation, editing, and analysis with high-fidelity visual review. Use for professional reports, legal documents, and tracked changes. Use proactively when quality and precise formatting are critical. Examples: - user: "Create a professional report in Word" -> use python-docx with render loops - user: "Draft a legal contract with redlines" -> use ooxml redlining workflow - user: "Extract text from this DOCX while preserving structure" -> use pandoc markdown conversion
Create new skills for the lovstudio ecosystem. Each skill is its own independent GitHub repo at lovstudio/{name}-skill, scaffolded locally at ~/lovstudio/coding/skills/{name}-skill/, symlinked to ~/.claude/skills/ for immediate use, and registered in the central index at ~/lovstudio/coding/skills/index/ (skills.yaml + README.md). Lovstudio conventions: `lovstudio:{name}` frontmatter, mandatory README.md per skill, AskUserQuestion interactive flow, standalone Python CLI scripts with argparse, CJK text handling. Use when the user wants to create a new skill, add a skill to the lovstudio ecosystem, scaffold a skill, or mentions "新建skill", "创建skill", "封装成skill", "new skill", "add skill", "scaffold skill", "生成skill".
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Solve quantitative problems in biophysics, pharmacokinetics, epidemiology, toxicology, population genetics, and statistical mechanics. Provides reasoning strategies and Python templates for calculations alongside ToolUniverse data lookups. Use when users ask about drug dosing, half-life decay, radioactive tracers, R0, herd immunity, diffusion, Hardy-Weinberg, binding equilibria, or any computation-heavy biology/chemistry question.
End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".
Undetectable, adaptive, high-performance Python web data extraction. Automatically survives website structure changes, bypasses anti-bot systems (Cloudflare, WAFs), and outperforms BeautifulSoup/Scrapy. Includes stealth browser fetching, CSS/XPath selectors, CLI, interactive shell, and MCP AI server integration.
Develop plugins for IDA Pro in Python, using idiomatic patterns, lessons, and tricks, including the Python Domain API (ida-domain). Use when creating both GUI (Qt) and background plugins for inspecting and rendering things program structure, functions, disassembly, cross-references, and strings.
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
Use when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a benefit change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Triggers on "all-hands announcement", "town-hall script", "change comms", "internal newsletter", "rollout comms", "policy change announcement", "re-org announcement", "internal FAQ", "manager talking points", "Prosci ADKAR", "Kotter 8-step", "layoff comms", "RIF comms", "internal memo". Pairs Prosci ADKAR (Awareness / Desire / Knowledge / Ability / Reinforcement) and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points. Industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Distinct from marketing-skill/* (external/customer-facing), c-level-advisor/internal-narrative (strategic framing, not tactical drafts), and c-level-advisor/change-management (executive change strategy, not the comms package itself).