doc-to-skill
Convert documentation into structured Agent Skills following progressive disclosure principles. Use when (1) Converting user documentation or guides into skills, (2) Creating skills from existing technical documentation, (3) Organizing knowledge into skill format with references, (4) Applying skill design principles to documentation, (5) Structuring information for AI agent consumption, (6) Creating skills that follow best practices for context efficiency
victoria3-mod-dev
Comprehensive Victoria 3 modding skill for creating, modifying, and debugging mods. Use when working with Victoria 3 mods for (1) Creating new mods from scratch, (2) Adding or modifying game content (decisions, events, buildings, laws, technologies, etc.), (3) Understanding mod file structure and syntax, (4) Debugging mod errors, (5) Creating localization files, (6) Working with .mod descriptor files, or any other Victoria 3 modding tasks.
vibium-browser-automation
Comprehensive guide for using Vibium browser automation tool via MCP. Use when (1) Automating web interactions in Cursor IDE, (2) Navigating web pages, (3) Taking screenshots, (4) Clicking buttons or links, (5) Filling forms or input fields, (6) Finding elements on web pages, (7) Web scraping tasks, (8) Testing websites, or any task requiring programmatic browser control within Cursor IDE
uv-python-manager
Comprehensive guide for using uv, an extremely fast Python package and project manager written in Rust. Use when working with Python projects for (1) Installing and managing Python packages, (2) Creating and managing virtual environments, (3) Installing and switching between Python versions, (4) Running Python scripts with dependency management, (5) Managing Python projects with lockfiles, (6) Replacing pip, pip-tools, pipx, poetry, pyenv, virtualenv workflows, or any Python package management tasks.
skill-selector
Self-driven skill selection system that uses internal curiosity asking (self-questioning) to analyze user requests, infer context from available information, and automatically recommend the most appropriate skills. Use when (1) User requests are ambiguous or unclear, (2) Multiple skills could potentially match a request, (3) User needs help discovering available skills, (4) Understanding user context is needed before recommending skills, or (5) User asks "what skills are available" or "which skill should I use".
python-debugging
Toolkit for AI agents to debug Python code autonomously without IDE support. Use when agent needs to debug code, insert breakpoints programmatically, analyze execution state, test hypotheses, or automate debugging workflows. Supports pdb, ipdb, debugpy with programmatic breakpoint insertion, conditional breakpoints, AST-based breakpoint suggestions, and automated debugging workflows for agents.
ast-grep
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.
claude-agent-sdk
Comprehensive guide for using Claude Agent SDK to build AI agents that can read files, execute commands, edit code, and perform complex workflows. Use when (1) Building autonomous AI agents with Claude, (2) Creating agents that interact with codebases and file systems, (3) Integrating custom tools and MCP servers with Claude, (4) Managing conversation sessions and context with Claude, (5) Implementing file operations, command execution, and code editing in agents, (6) Setting up permission controls and security for agent tools, (7) Using file checkpointing and session management features, (8) Building production-ready agents with error handling and monitoring
codebase-reading
Systematic methodology for reading and understanding large codebases efficiently. Use when (1) Understanding a new or unfamiliar codebase quickly, (2) Preparing to modify or extend existing code safely, (3) Debugging complex issues requiring deep code understanding, (4) Onboarding new team members to a codebase, (5) Performing code audits or security reviews, (6) Refactoring legacy code with confidence, (7) Creating documentation for existing systems, (8) Tracing execution flows and data transformations
cursor-agent-development
Guides developers through using cursor-agent CLI for interactive development, session management, and implementing development-verification loops. Use when working with cursor-agent, creating projects with agent supervision, managing chat sessions, or implementing agent-based development workflows.
cursor-ide-browser-skills
Browser automation in Cursor IDE using MCP protocol server `cursor-ide-browser`. Use when (1) Automating web interactions in Cursor IDE, (2) Navigating web pages, (3) Clicking buttons or links, (4) Filling forms or input fields, (5) Taking screenshots or capturing page snapshots, (6) Debugging web pages by checking console messages or network requests, (7) Extracting information from web pages, (8) Testing web applications, (9) Interacting with web-based documentation or tools, (10) Any task requiring programmatic browser control within Cursor IDE
cursor-agents-md
Guide for creating effective AGENTS.md files for Cursor. Use when (1) Creating new AGENTS.md files in project root, (2) Improving existing agent instructions, (3) Setting up project-specific coding guidelines, (4) Defining code style and architecture rules, (5) Writing simple agent instruction files as alternative to .cursor/rules, or any task related to Cursor AGENTS.md configuration.
indexer-staking
Use when the user asks about the Nibiru indexer (Heart Monitor), staking GraphQL schema, GQLValidator, GQLDelegation, HeartMonitor, or querying staking data via GraphQL. Explains that staking is under query.staking, not root-level deprecated fields; rewards come from the chain (distribution), not the indexer; amounts are Int in base units (e.g. unibi).
gh-pr
Writes clear pull request descriptions from the current branch diff against a base branch. Defaults to `main`, but supports `dev` or any other user-specified comparison branch. Use when the user asks for a PR description, pull request summary, or a markdown write-up for changes against a base branch.
sai-db
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repo-map
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postgresql-psql
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nibiru-cli-nibid
Query Nibiru chain state and submit transactions with the `nibid` CLI, including setup via `ud`, config inspection, key discovery with `nibid keys list`, bank transfers, bank balance queries, wasm contract queries, wasm execute/instantiate flows, and transaction lookups by hash. Use when the user mentions `nibid`, Nibiru CLI, `nibid keys list`, `--from`, `nibid tx bank`, `nibid tx wasm`, `nibid q bank`, `nibid q wasm`, `nibid q tx`, balances, contract-state smart, or tx hashes.
sai-perps-query
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nibid-gov-upgrade
Queries Nibiru governance proposals (including software-upgrade proposals) using the `nibid` CLI, maps explorer UI fields to on-chain queries, computes quorum/threshold/veto metrics, and correlates validator votes using staking queries. Use when the user mentions `nibid q gov`, governance proposals, software upgrades, votes, deposits, tally, quorum/threshold, validators, proposal status, or `nibid tx gov`.
sai-keeper-graphql
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indexer-user-balances
Queries the Nibiru indexer (Heart Monitor) for user account and balance data. Use when querying user balances by address, the user/users root fields, Token amounts, or HeartMonitor.user/users in the TS SDK.
sai-rest-api
Query the Sai REST API (DexPal) for aggregated metrics, stats, yield, markets, referrals, and health checks. Use when working with Sai REST endpoints, /dexpal/v1/*, sai-api.nibiru.fi, or when needing quick stats instead of full GraphQL.
evm-rpc
Query EVM JSON-RPC methods for transaction debugging and endpoint
epics-plus
Discover, read, and manage Epics+ markdown documents in the boku repository. Use when asked about active tasks, priorities, epics for specific repos or tags, or when needing to regenerate the epic index (INDEX.md) using the epics-plus CLI.
commit-diff
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Studying Alien Flora
奇异植物 - Stella深入研究盖亚星球的植物生态,发现既美丽又危险的外星植被,并尝试找到可利用的资源
Cave Exploration
洞穴探险 - Stella发现一个深邃的洞穴系统,深入探索发现bioluminescent晶体、地下水源和神秘的古老痕迹
Space Cooking Adventure
太空料理 - 轻松搞笑的章节,Stella尝试用盖亚食材创造美味食物,结果既有灾难也有惊喜
How to Create Claude Code Skill
A guide to creating Claude Code Skills.
Daily Science Routine
日常科研 - Stella建立临时研究站,进行系统的科学观察和实验,享受科学家的日常
Emergency Distress Signal
紧急求救 - 飞船坠毁后与Stella的首次联系,帮助她评估损伤并制定初步生存计划
Planning the Escape
逃离计划 - 最终章,Stella必须决定是否修复飞船返回地球,还是留在盖亚,这是艰难的抉择
Finding Shelter
寻找庇护所 - 帮助Stella在盖亚星球度过第一个夜晚,寻找或建造安全的临时住所
Repairing Signal Tower
信号塔修复 - Stella尝试修复或建造信号发射装置,希望联系地球或发送求救信号
Surviving the Storm
风暴求生 - 盖亚星球遭遇极端天气,Stella必须在双星磁暴和狂风暴雨中保护自己和营地
Water Crisis
水源危机 - Stella的饮用水即将耗尽,必须在盖亚星球上寻找、检测和净化水源以维持生存
Exploring Ancient Ruins
古代遗迹 - Stella深入探索盖亚星球的古代文明遗迹,解开失落文明的秘密
First Alien Encounter
神秘接触 - Stella终于与盖亚星球的智慧生命面对面接触,一次改变一切的遭遇
coolify-manager
Manage and troubleshoot Coolify deployments using the official CLI and API. Use this skill when the user needs help with Coolify server management, WordPress troubleshooting on Coolify, debugging service issues, checking SSL certificates, accessing containers, or managing applications and databases through Coolify. Particularly useful for diagnosing down services, fixing .htaccess issues, REST API problems, and performing deployment operations.
contributor-codebase-analyzer
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searching-sourcegraph
Search Sourcegraph-indexed codebases for patterns, examples, and system understanding. Triggers on implementation questions, debugging, or "how does X work" queries.
click-jvm-optimization
Design JIT compilers and optimize managed runtimes in the style of Cliff Click, architect of the HotSpot JVM C2 compiler and creator of sea-of-nodes IR. Emphasizes advanced compiler optimizations, intermediate representation design, and making dynamic languages fast. Use when building JIT compilers, VMs, or working on compiler backends.
hejlsberg-language-design
Design languages and type systems in the style of Anders Hejlsberg, creator of Turbo Pascal, Delphi, C#, and TypeScript. Emphasizes practical type systems, developer productivity, gradual typing, and IDE-driven language design. Use when designing languages, type systems, or developer tools.
kay-inventing-the-future
Design and build software in the style of Alan Kay, inventor of object-oriented programming, Smalltalk, and the Dynabook concept. Emphasizes message-passing over method-calling, late binding, biological metaphors for system design, and building systems that can evolve. Use when designing extensible architectures, programming environments, or systems meant to outlast their creators.
lattner-compiler-infrastructure
Write compiler and toolchain code in the style of Chris Lattner, creator of LLVM, Clang, Swift, and MLIR. Emphasizes modular compiler design, reusable infrastructure, progressive lowering, and pragmatic language evolution. Use when building compilers, language tools, or performance-critical infrastructure.
blow-compiler-gamedev
Design languages and write game engine code in the style of Jonathan Blow, creator of Braid, The Witness, and the Jai programming language. Emphasizes programmer productivity, compile-time execution, and rejecting complexity that doesn't serve the programmer. Use when designing languages, game engines, or performance-critical creative tools.
forensics-team
Analyze network traffic and security incidents with the depth of an "Ultimate Forensics Team". Emphasizes deep packet analysis (PCAP) as the source of truth, OSI layer decomposition, and the use of native Linux tools to uncover temporal patterns, attack types, and attribution.
torvalds-kernel-pragmatism
Write systems code in the style of Linus Torvalds, creator of Linux and Git. Emphasizes pragmatic excellence, performance awareness, subsystem design, and uncompromising code review. Use when writing kernel-level code or high-performance systems.
thompson-elegant-systems
Write systems code in the style of Ken Thompson, co-creator of Unix, C, Go, UTF-8, and Plan 9. Emphasizes radical simplicity, elegant algorithms, and small composable tools. Use when designing systems that must endure.
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