Guide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "abstract," "paper summary," or asks how to compress their findings into a short description. This skill synthesizes best practices from David Evans (CGDev), Marc Bellemare, and patterns observed in top economics journals (AER, QJE, AEJ: Applied, etc.). --- # How to Write the Abstract of an Economics Paper A lot of people will read no further than the abstract of your paper to decide whether it is worth reading, sharing, or citing. Some will not even get past the title. The abstract is your most compressed sales pitch: it must tell the reader what you did and what you found, clearly and fast. This skill is based primarily on David Evans' analysis of abstracts in top economics journals, supplemented by Marc Bellemare's writing advice, empirical research on abstract readability, and common patterns from AER, QJE, and AEJ: Applied papers. ## The Evidence on What Works Before getting to structure, two empirical facts worth knowing: **Readability predicts citations.** Dowling and others examined abstracts in Economics Letters and found that abstracts with simpler words and shorter sentences were associated with more citations. As Bellemare puts it: do not confuse lack of intelligibility with intellectual rigor. **Accessibility expands your audience.** Bellemare's rule of thumb: if your title is not repellent and your abstract is intelligible to people outside your narrow subfield, you have expanded the scope of your citations tenfold - because many people cite papers they have only read the abstract of. --- ## The Core Structure Abstracts in top economics journals follow a compressed version of the introduction formula. Evans identifies five ingredients of a good
- 📁 .github/
- 📁 bin/
- 📁 easytouch-linux/
- 📄 .gitattributes
- 📄 .gitignore
- 📄 build.zig
跨平台系统自动化操作工具，支持 Windows、Linux、macOS。提供 CLI 命令行和 MCP 服务器两种使用方式，支持鼠标键盘控制、屏幕截图、窗口管理、系统信息查询等功能。
Fetches and displays a random inspirational or motivational quote by running the project's Go script. Use this skill whenever the user asks for a quote, wants motivation or inspiration, or says anything like "give me a quote", "random quote", "inspire me", or "motivational quote". Always use this skill rather than making up a quote yourself.
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.
Use when setting up a fresh HAINDY installation, configuring API credentials for the first time, migrating from a legacy .env file, or verifying the effective configuration.
DKG V9 for OpenClaw — use verifiable memory tools first for recall and durable storage, then use DKG tools for publishing, querying, discovery, messaging, and remote skill calls.
- 📁 examples/
- 📁 references/
- 📁 scripts/
- 📄 LICENSE.txt
- 📄 SKILL.digest.md
- 📄 SKILL.md
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
Interactive audit.yaml configuration for ac-audit plugin.
思源笔记完整排版语法指南（基于 MCP 实践验证）。当用户需要通过 MCP 在思源中创建各种排版元素（行级/块级元素、列表、表格、代码块、图表、数学公式、超级块、嵌入块等）时使用此 skill。提供可直接运行的 MCP 调用示例。
- 📁 .clawhub/
- 📁 data/
- 📁 demo/
- 📄 .cursorrules
- 📄 .gitignore
- 📄 _meta.json
Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.
Use when enriching a bare/generated Reseller API OpenAPI spec with documentation metadata - summaries, descriptions, tag display names, info block, and servers. Triggers on tasks involving reseller openapi yaml enrichment or updating the reseller API spec from a generated source.
Comprehensive accessibility audit to identify WCAG compliance issues and barriers to inclusive design.
