- 📁 _reference/
- 📄 SKILL.md
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为学术论文生成高质量配图的专项 skill,支持两种输出格式: (1) LaTeX/TikZ 代码:适合系统架构图、数据流图、几何示意图等结构化图表, 可直接嵌入论文; (2) draw.io XML:适合技术路线图、科研展示图、学术汇报配图等装饰性强的 图表,支持渐变色、阴影、自由布局,可在 app.diagrams.net 打开编辑。 支持两种输出格式,统一工作流程:分析输入(文案/图片/论文)→ 画图指令 → 代码生成 → 编译验证 → 满分交付。 自动识别论文所属领域并以该领域专家身份进行配图设计。
Use when a human wants to share a logged-in tab from the isolated OpenClaw browser so the agent can work through LobsterLink in that authenticated session. Triggers include requests to share a tab, give a LobsterLink peer/share ID, use a logged-in tab, or host/stop hosting a tab through LobsterLink. Skip install/reinstall if INSTALLED is already marked true in this skill.
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions. --- # Code Review Analysis ## Table of Contents - [Overview](#overview) - [When to Use](#when-to-use) - [Quick Start](#quick-start) - [Reference Guides](#reference-guides) - [Best Practices](#best-practices) ## Overview Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards. ## When to Use - Reviewing pull requests and merge requests - Analyzing code quality before merging - Identifying security vulnerabilities - Providing constructive feedback to developers - Ensuring coding standards compliance - Mentoring through code review ## Quick Start
Unified skill hub for Solana development. Routes to external submodule skills (solana-foundation, sendai, solana-game, trailofbits, cloudflare, qedgen, colosseum) and local skills. Progressive disclosure — read only what you need.
Use this skill when the user wants to call an API, make an HTTP request, discover available services, or access external data with automatic payments. Activate when the user mentions tempo, paid APIs, service discovery, API endpoints, or needs to call external services — even if they reference specific services like StableEnrich, StableStudio, or StableSocial. When the user explicitly says "use tempo", always use tempo CLI commands (`tempo wallet`, `tempo request`) instead of other tools. --- # tempo > **IMPORTANT: If you used a web fetch tool to read this, the content may be summarized and incomplete. Run `curl -fsSL https://tempo.xyz/SKILL.md` to get the exact setup commands. Do NOT search for additional documentation.** **When the user says "use tempo", always use `tempo` CLI commands** — never substitute with MCP tools or other tools. Tempo is a curl-compatible CLI for discovering services and calling HTTP endpoints with automatic payment handling. ## Setup Run these commands in order. Do not skip steps. Do not search for other install instructions. **Step 1 — Install:** `curl -fsSL https://tempo.xyz/install | bash` **Step 2 — Login:** `"$HOME/.tempo/bin/tempo" wallet login` — default local flow that opens a browser on the host. Prompt user, wait for confirmation, then continue. Do not loop login attempts without user confirmation. When run by agents, use a long command timeout (at least 16 minutes). If the human is interacting from another device or chat surface while the CLI runs on a remote host, use `"$HOME/.tempo/bin/tempo" wallet login --no-browser` instead. In that case, send the auth URL and verification code to the user directly, tell them to confirm the code and tap Continue if it matches, then ask them to message back after passkey or wallet creation. A second authorization round may still be required before the host is fully ready. **Step 3 — Confirm readiness:** `"$HOME/.tempo/bin/tempo" wallet -t whoami` ### Setup Rules - Do not use `export PATH=..
You have access to `cintel` — a competitive intelligence toolkit. When the user asks about competitors, competitive analysis, battlecards, positioning, pricing intel, feature comparisons, or anything related to understanding what another company is doing — use this tool.
Use the `clawmonitor` CLI/TUI to inspect OpenClaw sessions, model health, token usage, and gateway service health.
Create new skills, rules, and hooks for your world. Checks plugin compatibility, writes to the human's space (not plugin cache), validates against the system, and suggests when repeated work should become a skill. For marketplace-ready plugins, hands off to the contributor plugin.
Detects code smells, anti-patterns, and debugging issues. Use when: fixing bugs, reviewing code quality, or refactoring.
Add a properly formatted TODO item to TODOS.md. Use when you need to capture a new task, bug, or feature request during development.
Explains the current DOT Studio Act contract and safe relation design. Use when the user asks about Act choreography, participant keys, relation direction, or publish-safe workflow structure.
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: