AgriciDaniel
from GitHub
数据与AI
Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", or "real search data". --- # DataForSEO — Live SEO Data (Extension) Live search data via the DataForSEO MCP server. Provides real-time SERP results, keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking across 9 API modules with 79 MCP tools. ## Prerequisites
Expertise in binary lifting techniques - converting machine code to LLVM IR for analysis, decompilation, and recompilation. Use this skill when working on reverse engineering, binary analysis, deobfuscation, or converting binaries to higher-level representations.
PolicyEngine
from GitHub
数据与AI
- 📁 examples/
- 📄 MICROSIMULATION_REFORM_GUIDE.md
- 📄 SKILL.md
Common analysis patterns for PolicyEngine research repositories (CRFB, newsletters, dashboards, impact studies). For population-level estimates (cost, poverty, distributional impacts), use the policyengine-microsimulation skill instead. --- # PolicyEngine analysis Patterns for creating policy impact analyses, dashboards, and research using PolicyEngine. **For population-level estimates** (budgetary cost, poverty impact, distributional analysis), use the **policyengine-microsimulation** skill instead. This skill covers analysis repo patterns, visualization, and household-level calculations. See `MICROSIMULATION_REFORM_GUIDE.md` for UK-specific microsimulation patterns. ## For Users ### What are Analysis Repositories?
iheitlager
from GitHub
数据与AI
> Four criteria derived from cross-log gap analysis. Apply before merging any
stbarbe
from GitHub
数据与AI
- 📄 cli-skills-agent-retainableness.zip
- 📄 SKILL.md
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
jmylchreest
from GitHub
数据与AI
Triage static analysis findings, assess merit, and accept noise or irrelevant items
Use Gemini CLI in non-interactive mode for tasks requiring massive context windows (1M tokens). Best delegated to subagents for iterative analysis and summarization. Invoke when analyzing large codebases, requesting deep analysis, getting second opinions on complex problems, or when Claude's context limits are insufficient. Triggers include phrases like "use gemini", "analyze with gemini", "get second opinion", "deep analysis of codebase", or when processing files exceeding Claude's context capacity. IMPORTANT - Always delegate to a subagent using the Task tool for better iteration and result summarization.
EVM/Solidity smart contract security audit skill. Activate when user asks to: "audit", "security review", "scan for vulnerabilities", "check this contract", "find bugs", "run slither", "fuzz this", "analyze security", "pentest this contract", or any request involving smart contract security, vulnerability detection, or exploit analysis. Orchestrates all available static analysis, fuzzing, and symbolic execution tools, then synthesizes findings into a professional severity-ranked markdown report.
RanNahmany
from GitHub
数据与AI
- 📁 .claude-plugin/
- 📁 resources/
- 📁 scripts/
- 📄 REFERENCE.md
- 📄 SKILL.md
Product discovery and requirements analysis specialist. Conducts stakeholder interviews, market research, problem discovery, and creates product briefs. Use for product brief, brainstorm, research, discovery, requirements gathering, problem analysis, user needs, competitive analysis, and setting foundation before product planning. Hands off to product manager when analysis complete.
Junayedahmedd
from GitHub
数据与AI
- 📁 mammillation/
- 📄 patterns.md
- 📄 README.md
- 📄 reference.md
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
apicurius
from GitHub
数据与AI
Full end-to-end video analysis with KUAVi
biocheming
from GitHub
数据与AI
Structured folder purpose analysis with concise evidence.