telegram-bot-management
Telegram bot production management, monitoring, and troubleshooting. Use when user mentions telegram bot, claude-orchestrator, bot status, bot restart, or bot monitoring.
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Telegram bot production management, monitoring, and troubleshooting. Use when user mentions telegram bot, claude-orchestrator, bot status, bot restart, or bot monitoring.
Troubleshoot Claude Code session issues. Use when encountering "No conversations found" errors, missing sessions, or session file corruption problems.
Get current Claude Code session UUID and registry info. TRIGGERS - current session, session uuid, session id, what session, which session.
Record Claude Code sessions with asciinema. TRIGGERS - record session, asciinema record, capture terminal, record claude, demo recording, record ASCII, ASCII terminal, terminal screen capture, shell screen capt...
Meta-skill for creating Claude Code skills. TRIGGERS - create skill, YAML frontmatter, validate skill, TodoWrite templates, bundled resources (scripts/references/assets), progressive disclosure, allowed-tools,...
Spawn 5 parallel Explore agents to discover project constraints. TRIGGERS - constraint scan, degrees of freedom, /ralph:start Step 1.4.5, project memory analysis.
Claude Code hooks development guide covering all 10 hook events lifecycle, PostToolUse visibility patterns, PreToolUse guards, Stop hook schema, and debugging. Use when creating hooks, troubleshooting hook outp...
Guide for writing and improving Claude Code skills. Use when creating new skills, debugging why skills aren't activating, or improving skill descriptions and structure.
This skill should be used when the user asks to "search the KB", "find documentation", "add to knowledge base", "document this pattern", "check organizational docs", or when an agent discovers reusable knowledg...
JavaScript development guidance for Claude Code. Use when writing, testing, or working with JavaScript code to ensure consistent practices and proper test execution.
Document technical discussions as expert architect and meeting assistant. Capture context, decisions, edge cases, debates, and rationale without jumping to specification or implementation. Use when: (1) Users d...
Explore ideas, validate concepts, and research broadly across technical, business, and market domains. Use when: (1) User has a new idea to explore, (2) Need to research a topic deeply, (3) Validating feasibili...
OpenKBS AI agent development framework. Use when creating, modifying, or deploying AI agents with backend handlers (onRequest, onResponse, actions.js), frontend components (contentRender.js), or elastic service...
Create new Claude Skills with proper structure, frontmatter, and best practices. Use when the user wants to create a skill, build a skill, make a new skill, or scaffold skill files.
AI image and video generation using ComfyUI node-based workflow system with Stable Diffusion, FLUX, and other diffusion models via local or distributed GPU compute (Salad Cloud)
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
AI orchestration and multi-model collaboration MCP server. Use when you need multi-model AI collaboration, code reviews, debugging assistance, planning, consensus building, or advanced reasoning across multiple...
Professional LaTeX document generation for papers, reports, books, and presentations. Multi-agent orchestration via claude-flow. Use UK English spelling throughout.
Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional...
Applies user feedback to prompts with precision - incorporates feedback intent without over-fitting, maintains information density, prevents regressions. Use when asked to apply feedback, incorporate suggestion...
Iteratively optimizes prompts for precision - eliminates ambiguities, resolves conflicts, adds missing definitions. Use when asked to optimize precision, clarify, disambiguate, or make a prompt unambiguous.
Single-agent implementation: executes plans in-place without subagents. Use /implement (default) for complex features; use this for simpler tasks or when subagent overhead is unwanted.
Optimizes prompts for goal effectiveness - ensures instructions serve the stated goal, prevents missteps, improves efficiency. Use when asked to optimize a prompt for its goal, improve goal alignment, or make a...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。