Send HTTP API requests using curl. Use when the user asks to call an API, fetch data from a URL, send POST/PUT/PATCH/DELETE requests, work with REST or GraphQL endpoints, upload files, authenticate with Bearer tokens or API keys, debug HTTP responses, or interact with any web service via HTTP.
Amazon seller data analysis tool. Features: market research, product selection, competitor analysis, ASIN evaluation, pricing reference, category research. Uses scripts/apiclaw.py to call APIClaw API, requires APICLAW_API_KEY. --- # APIClaw — Amazon Seller Data Analysis > AI-powered Amazon product research. Respond in user's language. ## Files | File | Purpose | |------|---------| | `scripts/apiclaw.py` | **Execute** for all API calls (run `--help` for params) | | `references/reference.md` | Load when you need exact field names or filter details | ## Credential
Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter).
Generate all orchestrator report types — execution summaries, agent performance, workflow analytics, health, config audit, and HTML dashboard with charts. Use after task runs or for project status overview.
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
微信聊天记录深度分析工具。分析1对1单聊的互动习惯、情感走势、性格画像，生成可视化图表和数据导出。当用户提到微信聊天分析、聊天记录分析、感情分析、好感度分析、追求建议、聊天统计、聊天热力图、词云、秒回率、主动性分析、聊天导出等任何与微信聊天数据分析相关的话题时，务必使用此技能。即使用户只是简单提到"分析我和某人的聊天"也要触发。
This skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/columns, and data type mismatches. Returns a clean DataFrame ready for analysis with zero user intervention.
Automated design system construction from repository analysis to production-ready implementation. Analyzes codebases, extracts design patterns, builds token hierarchies with OKLCH color management, implements accessible components with tests, and verifies through multi-reviewer panels.
Publish the current Claude Code analysis to the civicaitools.org evidence registry as a cryptographically signed, timestamped, Rekor-logged evidence package. Invoke when the user has just completed a civic-data analysis (typically using the Socrata and/or Data Commons MCP tools) and says something like "publish this as evidence", "sign this analysis", "publish to civicaitools.org", or "make this a verifiable package.
Query Claude Code session analytics from ccrecall database. Use when user asks about token usage, session history, or wants to analyze their Claude Code usage patterns.
Manage Notion pages, databases, and comments from the command line. Search, view, create, and edit content in your Notion workspace.
[](https://oathe.ai/report/joylarkin/openclaw-security-news)
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:
