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Agents
AI agents and automation
create-skill
by jeffh
Create, update, validate, and canonicalize Claude Code skills. USE WHEN user wants to create a new skill OR modify an existing skill OR validate skill structure OR fix skill format OR migrate legacy skills.
claude-code-command-patterns
by vinnie357
Activate when creating or modifying Claude Code slash commands with proper frontmatter, Task invocation patterns, and TodoWrite integration
agent-debugger
by JoaquinCampo
Use when a program crashes, a test fails, or code produces wrong results and reading the source isn't enough to see why. Lets you pause execution at any line and inspect the actual runtime state, variable values, types, call stacks, to find what went wrong. Can attach to running servers by PID — no restart or code changes needed.
Zmail Skill - Custom Email for Agents
by idanbeck
Server code: ~/zerg/zmail/
task-breakdown
by vinnie357
Activate when breaking down implementation plans into detailed task lists with agent contexts, acceptance criteria, and status tracking
claude-code-agent-patterns
by vinnie357
Activate when creating or modifying Claude Code agents with proper architecture patterns, tool selection, and extended context integration
research-methodology
by vinnie357
Activate when conducting topic research with complexity assessment, thinking mode selection, and comprehensive documentation generation
中华上下五千年 · 智慧宝库
by jiangshangwan
cron
by goldengrape
Schedule reminders and recurring tasks.
skill-creator
by goldengrape
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
ccbox-insights
by diskd-ai
Summarize lessons learned from ccbox session logs (projects/sessions/history/skills) so the agent can do better next time. Produce copy-ready instruction updates (project + global) backed by evidence, with optional skill-span context to attribute failures to specific skills. Use when asked to run /ccbox:insights, generate a "lessons learned" memo, or propose standing instructions from session history.
tmux
by goldengrape
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
Company Factory
by goldengrape
"元Agent公司。根据用户需求,自动生成新的Agent公司配置文件(SKILL.md、POSTS.md、DOCS_SCHEMA.md、WORKFLOWS.md)。"
Suno Song Creator
by nwp
This skill should be used when the user asks to "create a Suno prompt", "write a Suno song", "generate music with Suno", "help me with Suno", "make a song prompt", "create lyrics for Suno", "build a music prompt", or mentions Suno AI music generation. Provides comprehensive guidance for creating professional Suno prompts using advanced prompting strategies, structured formatting within 1000 character limit (NO blank lines between sections), parameter optimization, genre-specific techniques, interactive questioning with efficient project name collection, automated artist/song research via sub-agent (web fetching + pattern extraction), automatic file export to organized project directories, AI-slop avoidance for authentic human-centered lyrics, copyright-safe style descriptions that avoid artist/album/song names, character counting utilities for accurate verification, and optional independent quality review via sub-agent for professional assessment.
skill-memory
by memodb-io
Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.
mastering-langgraph
by SpillwaveSolutions
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
cdt
by rube-de
"Multi-agent development workflow using Agent Teams. Supports four modes: plan (architect teammate + PM teammate debate → plan.md), dev (developer teammate + code-tester teammate + qa-tester teammate + reviewer teammate iterate → code), full (plan → approval gate → dev), and auto (plan → dev, no gate). Use when tasks benefit from collaborative agent teammates with peer messaging."
task-delegation
by cklxx
跨 Agent 任务委派 — 将子任务分发给 Codex/Claude/Gemini CLI 执行。
config-management
by cklxx
配置管理 — 查询/修改 agent 配置参数(YAML 配置文件)。
oracle-dba
by acedergren
Use when managing Oracle Autonomous Database on OCI, troubleshooting performance issues, optimizing costs, or implementing HA/DR. Covers ADB-specific gotchas, cost traps, SQL_ID debugging workflows, auto-scaling behavior, and version differences (19c/21c/23ai/26ai).
agent-ready-codebase
by Casper-Studios
This skill should be used when auditing a codebase for AI agent readiness, or when guiding improvements to make a codebase work well with agentic coding tools. It applies when users ask to evaluate test coverage, file structure, type system usage, dev environment speed, or automated enforcement -- the five pillars that determine how effectively coding agents can operate in a project. Triggers on "audit my codebase", "make this agent-ready", "improve for AI agents", "agent-friendly", or questions about why agents struggle with a codebase.
temporal
by rube-de
Help developers use Temporal for durable execution workflows. Covers CLI commands, SDK patterns (Go, TypeScript, Python, Java), workflow orchestration, and architectural decisions.
voice-agents
by Casper-Studios
ElevenLabs voice agent creation for client discovery and feedback calls. Use this skill when creating AI voice agents, setting up discovery call agents, or configuring automated phone conversations. Triggers on voice agent creation, ElevenLabs agent setup, or automated call agent requests.
multiversx-protocol-experts
by multiversx
Deep protocol knowledge for MultiversX architecture including sharding, consensus, ESDT standards, and cross-shard transactions. Use when reviewing protocol-level code, designing complex dApp architectures, or troubleshooting cross-shard issues.