Total 56,499 skills, AI & Machine Learning has 9403 skills
Showing 12 of 9403 skills
Use when implementation is complete, all tests pass, and the agent is operating inside a Grove workspace that needs to be resolved or cleaned up
Use this skill to build, run, deploy, evaluate, and troubleshoot Go agents with Google's Agent Development Kit (`google.golang.org/adk`), including llmagent config, tools/integrations, callbacks/plugins, sessions/state/memory, workflows, streaming, MCP/A2A, and runtime/deployment patterns.
Codebase mapping and documentation using parallel AI subagents. Invoke for: map this codebase, document architecture, understand codebase, onboarding to new project, create CODEBASE_MAP.md, generate architecture diagrams.
Run application agents through SpendGuard with strict hard budget caps. Use when setting up `spendguard-sidecar`, creating agent IDs, setting or topping budgets, sending OpenAI/Grok/Gemini/Anthropic calls through SpendGuard endpoints, and troubleshooting budget enforcement errors like insufficient budget, in-flight lock conflicts, missing `x-cynsta-agent-id`, or remote pricing signature failures.
Creates plugins (skills and MCPs) by guiding through the authoring process. Use when users want to create or update (1) skills that extend Claude's capabilities with specialized knowledge and workflows, or (2) MCPs (Model Context Protocol servers) that provide tools for Claude Desktop.
Meta-skill for creating and managing Claude Code skills
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
Use when planning, scaffolding, validating, or packaging Claude skills inside Advanced Memory MCP.
Create, audit, and maintain CLAUDE.md documentation files that configure Claude Code for projects. Use this skill when (1) initializing a new project with Claude Code configuration, (2) reviewing or improving existing CLAUDE.md files, (3) organizing project instructions using progressive disclosure patterns, (4) converting repeated instructions into permanent documentation, or (5) setting up agent_docs/ structures for larger codebases. Handles the WHAT/WHY/HOW framework, conciseness optimization, and file import patterns.
Use when combining information from multiple Glean sources or when needing to synthesize results across documents, meetings, code, and people searches. Triggers on complex queries that span multiple data types, when results seem contradictory, when building comprehensive answers from partial information, or when the user asks for a complete picture of something that requires multiple queries.
Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual artwork generation.
Package a agent skill into a complete GitHub repository ready for distribution via skills.sh. Generates README, LICENSE, plugin.json, marketplace.json, .gitignore, and the proper directory structure. Optionally initializes a git repo and creates a GitHub repository. This skill should be used when publishing a skill, packaging a skill for distribution, preparing a skill repo, or when the user says 'publish skill', 'package skill', 'release skill', '发布技能', '打包 skill'.