Use this skill when interacting with MCP servers via CLI. Prefer mcpx over direct MCP SDK/protocol calls for tool discovery, schema inspection, invocation, and Unix-style output composition.
Monitor and query Claude Code sessions — list sessions, search conversations, check costs, view AI fluency score, see live running agents. Use when the user asks about their Claude Code usage, costs, session history, or running agents. --- ## You operate the `claude-view` HTTP API **If the claude-view MCP tools are available in your environment, prefer using them instead of curl.** This skill is the fallback for environments without MCP support. claude-view runs a local server on port 47892 (or `$CLAUDE_VIEW_PORT`). All endpoints return JSON (camelCase field names). Base URL: `http://localhost:47892` ## Resolving the server 1. Check if running: `curl -sf http://localhost:47892/api/health` 2. If not running, tell user: `npx claude-view` ## Endpoints | Intent | Method | Endpoint | Key Params | |--------|--------|----------|------------| | List sessions | GET | `/api/sessions` | `?limit`, `?q`, `?filter`, `?sort`, `?offset`, `?branches`, `?models`, `?time_after`, `?time_before` | | Get session detail | GET | `/api/sessions/{id}` | — | | Search sessions | GET | `/api/search` | `?q` (required), `?limit`, `?offset`, `?scope` | | Dashboard stats | GET | `/api/stats/dashboard` | `?project`, `?branch`, `?from`, `?to` | | AI Fluency Score | GET | `/api/score` | — | | Token stats | GET | `/api/stats/tokens` | — | | Live sessions | GET | `/api/live/sessions` | — | | Live summary | GET | `/api/live/summary` | — | | Server health | GET | `/api/health` | — | ## Reading responses All responses are JSON with camelCase field names. Key shapes: **Sessions list:** `{ sessions: [{ id, project, displayName, gitBranch, durationSeconds, totalInputTokens, totalOutputTokens, primaryModel, messageCount, turnCount, commitCount, modifiedAt }], total, hasMore }` **Session detail:** All session fields plus `commits: [{ hash, message, timestamp, branch }]` and `derivedMetrics: { tokensPerPrompt, reeditRate, toolDensity, editVelocity }` **Search:** `{ query, totalSessions, totalMatches, elapsedMs,
Use this skill when developing Node.js backend services or CloudBase cloud functions (Express/Koa/NestJS, serverless, backend APIs) that need AI capabilities. Features text generation (generateText), streaming (streamText), AND image generation (generateImage) via @cloudbase/node-sdk ≥3.16.0. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended), DeepSeek (deepseek-v3.2 recommended), and hunyuan-image for images. This is the ONLY SDK that supports image generation. NOT for browser/Web apps (use ai-model-web) or WeChat Mini Program (use ai-model-wechat).
Guide for building multi-agent AI systems with ax-crew. Use when creating agent crews, configuring agents, using MCP servers, shared state, sub-agents, streaming, ACE learning, function registries, metrics/cost tracking, telemetry, or agent workflows with @amitdeshmukh/ax-crew.
Lightpanda browser, drop-in replacement for Chrome and Openclaw default browser - faster and lighter for tasks without graphical rendering like data retrieval. Use it via MCP server, CLI fetch, or CDP with Playwright/Puppeteer.
Add a Model Context Protocol (MCP) server to extend your toolbox with external tools
Unity API の探索と実行。u api schema で検索、u api call で任意の public static メソッドを呼ぶ。
Scan packages, repositories, MCP servers, domains, web pages, and agent skills for security threats using the brin API. Use this skill before installing dependencies, visiting URLs, or integrating external resources.
Memory-agnostic background consolidation — reviews sessions, scores candidates, promotes durable insights to the active memory backend (built-in MEMORY.md or Holographic). Three-phase (Light/Deep/REM). Run via cron or manually.
执行 MySQL、PostgreSQL、Oracle、SQL Server、DM8、TiDB 数据库健康巡检，内置 130+ 条增强风险分析规则 + 慢查询深度分析引擎 + 本地 Ollama AI 大模型诊断建议，一键生成专业 Word 巡检报告。适用于 DBA 和运维人员快速掌握数据库运行状况、排查风险。项目地址：https://github.com/fiyo/DBCheck.git
Veille tech francophone et internationale via Flux (flux.yoandev.co), qui agrège 80+ blogs, podcasts et chaînes YouTube dev/IA/DevOps. Utilise cette skill dès que l'utilisateur demande son brief / newsletter / veille du matin, veut savoir "ce qui s'est passé cette semaine en tech", cherche des articles récents sur un sujet technique (IA, Symfony, Rust, PHP, DevOps, Cloud, etc.), demande un résumé de l'actualité dev, ou veut écouter/regarder des podcasts ou vidéos tech récents. Également quand l'utilisateur donne des thématiques en langage naturel ("fais-moi un brief sur l'IA et le backend PHP des 3 derniers jours") — la skill découvre les articles, l'agent sélectionne et synthétise.
Prefect CLI commands for mutations. The MCP server is read-only - use this skill when you need to trigger deployments, cancel flow runs, create automations, or modify Prefect resources.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
