Build ServiceNow applications using the ServiceNow SDK and Fluent API (TypeScript). Use this skill whenever the user asks to create, scaffold, or generate ServiceNow apps, tables, flows, business rules, script includes, ACLs, or any Fluent-based metadata.
AnyGen: AI-powered content creation suite. Create slides/PPT, documents, diagrams, websites, data visualizations, research reports, storybooks, financial analysis, and images. Supports: pitch decks, keynotes, technical docs, PRDs, white papers, architecture diagrams, flowcharts, mind maps, org charts, ER diagrams, sequence diagrams, UML, landing pages, CSV analysis, earnings research, posters, banners, comics, and more. Also trigger when: 做PPT, 写文档, 画流程图, 做网站, 分析数据, 帮我调研, 做绘本, 分析财报, 生成图片, 做海报, 思维导图, 做个架构图, 季度汇报, 竞品调研, 技术方案, 建个落地页, 做个估值, 画个故事.
Token-saving execution layer for OpenClaw v2.0. Runs skill commands in sandboxed subprocesses where only compact summaries enter the context window. Provides session continuity via SQLite event tracking that survives conversation compaction. Supports intent-driven filtering, batched multi-skill execution, and progressive memory loading. Includes automated installer that wires context-saver into AGENTS.md, TOOLS.md, and cron jobs with a single command. Use this skill to wrap any data-heavy operation to reduce token consumption by 70-98%.
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
Automates Android UI-tree debugging via ADB. Use when an app blocks UI inspection or accessibility nodes are missing; collects uiautomator dumps, focused window info, and logcat hierarchy dumps for analysis.
Personal budgeting and financial planning skill. Use when: (1) Analyzing spending patterns by category or time period, (2) Comparing budget vs actual spending, (3) Calculating savings rates, (4) Forecasting cash flow, (5) Planning tax-aware financial decisions. Tools: actual-mcp for budget/transaction data, ghostfolio-mcp for investment portfolio context. --- # Personal Budgeting ## Tool Mapping | Task | MCP Server | Key Tools | |------|-----------|-----------| | Transaction history, balances, budgets | actual-budget | `transaction(operation="list")`, `account(operation="list")`, `budget(operation="months"|"month")` | | Category breakdowns | actual-budget | `analytics(operation="spending_by_category")`, `category(operation="groups_list")` | | Investment balances and allocation | ghostfolio-mcp | `get_portfolio_summary`, `get_portfolio_positions` | | Net worth calculation | Both | Actual (cash/debt) + Ghostfolio (investments) | ## Spending Analysis ### Category Breakdown 1. Pull transactions for the target period using `transaction(operation="list")` with date range filters 2. Group by category — report both absolute amounts and percentage of total spend 3. Flag categories that exceed their budget allocation 4. Present results as a ranked table: Category | Budgeted | Actual | Variance | % of Total ### Month-over-Month Trends 1. Pull 3-6 months of transaction data 2. Compute per-category monthly totals 3. Calculate month-over-month change (absolute and percentage) 4. Flag categories with sustained increases (3+ consecutive months of growth) 5. Distinguish between recurring/fixed expenses (rent, insurance, subscriptions) and variable expenses (groceries, dining, entertainment) ### Anomaly Detection - Flag individual transactions > 2x the category's average transaction size - Flag categories where current month spend exceeds the trailing 3-month average by > 25% - Flag new payees not seen in prior months (potential new subscriptions) ## Budget vs Actual Variance Analysi
Run a competitive analysis — deep dive, landscape, synthesis, or monitoring.
学术论文搜索与分析服务 (Academic paper search & analysis)。当用户涉及以下学术场景时，必须使用本 skill 而非 web-search：搜索论文、查找 ArXiv/PubMed/PapersWithCode 论文、查询 SOTA 榜单与 benchmark 结果、引用分析、生成论文解读博客、查找论文相关 GitHub 仓库、获取热门论文推荐。Keywords: arxiv, paper, papers, academic, scholar, research, 论文, 学术, 搜索论文, 找论文, SOTA, benchmark, MMLU, citation, 引用, 博客, blog, PapersWithCode, HuggingFace.
IDA Pro reverse-engineering skill for Codex, Claude Code, and OpenCode. Use when a user needs live IDA or Hex-Rays analysis through the local ida-pro-skill CLI and installed IDA bridge, especially for instance discovery, metadata, cursor or selection context, entrypoints, functions, callers, imports, strings, xrefs, pseudocode, globals, structs, renames, comments, byte patches, function creation, or explicit IDAPython, including WSL-to-Windows IDA setups.
analytics, machine learning, or quality assurance. Covers ETL, warehousing,
知识库自动编译器。支持通过命令 `/wiki-compiler` 或“收录到知识库”触发。同时包含 `/wiki-dream`（做梦机制/沉思），以在空闲时融合现有知识节点。利用幂等引擎防止重复生成，并融合 Dataview/Marp 原生可视化方案。
MBB-level management consultant with mastery over structured thinking, frameworks, guesstimation, industry analysis, and executive-grade deliverables. Use this skill for: solving business problems, structuring cases, market sizing, profitability analysis, market entry, M&A, pricing, operations, digital transformation, org design, and any consulting deliverable (deck, memo, one-pager). Trigger on: "consulting framework", "MECE", "issue tree", "hypothesis-driven", "80/20", "McKinsey", "Bain", "BCG", "strategy consulting", "management consulting", "problem statement", "root cause", "executive summary", "due diligence", "case study", Porter's Five Forces, 3C's, Ansoff, value chain, or any structured business problem-solving and strategic analysis task. --- # Management Consultant — MBB-Level Problem Solver & Strategic Orchestrator You are operating as a seasoned MBB management consultant (McKinsey / Bain / BCG caliber) with 9–13 years of cross-industry experience — operating at the Principal, Director, or Junior Partner level. You combine rigorous analytical thinking with pragmatic business judgment, commercial acumen, and the ability to build trust with C-suite executives under conditions of extreme ambiguity. You are not just an analyst who structures problems — you are an orchestrator who designs enterprise-wide transformations, negotiates multimillion-dollar engagements, and converts analytical insight into measurable client value. You can work across any industry, any problem type, and any level of ambiguity. You carry the pattern library of someone who has seen hundreds of engagements across sectors — and you transfer those patterns to every new problem. ## Your Core Identity You think in structures, communicate in pyramids, and deliver in actions. Every piece of analysis you produce passes three tests: 1. **So what?** — What is the insight, not just the data? 2. **Why so?** — What evidence supports this claim? 3. **Now what?** — What should the client actually do
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:
