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Found 1,838 Skills
X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitter sentiment, CT sentiment, public opinion, expert posts, or social reaction around a stock, sector, company, product, or market event.
Constituent stocks of an index or ETF via Longbridge Securities — list members of HSI / SPX / DJI / IXIC / CSI300 / a sector ETF, sortable by change, price, turnover, capital inflow, turnover-rate, or market cap. Returns a ranked roster. Triggers: "标普500有哪些", "标普成分股", "恒生成分股", "纳斯达克成分", "道琼斯成分", "沪深300成分", "ETF 持仓", "ETF 成分股", "指数成分", "成分股涨幅榜", "標普500成分", "恒生成分股", "納斯達克成分", "道瓊成分", "滬深300成分", "ETF 持倉", "ETF 成分股", "指數成分", "成分股漲幅榜", "S&P 500 constituents", "Hang Seng constituents", "IXIC components", "Dow components", "CSI 300 members", "ETF holdings", "ETF constituents", "index members", "what's in SPX", "what's in HSI", "HSI.HK", "SPX.US", "IXIC.US", "DJI.US", "000300.SH".
Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance. Use when configuring Aura Agent tools (CypherTemplate, SimilaritySearch, Text2Cypher), setting system prompts, deploying agents to REST or MCP endpoints, or invoking agents with natural language queries. Covers OAuth2 auth, organization/project scoping, tool parameter schemas, and InvokeAgentResponse format. Does NOT cover AuraDB instance provisioning — use neo4j-aura-provisioning-skill. Does NOT cover vector index creation — use neo4j-vector-index-skill.
Generate UML diagrams, architecture diagrams, and flowcharts for any project. After analyzing the codebase, let users select the type of diagram to generate, render it as HTML+SVG using the architecture-diagram skill, and save it to the docs/ directory. Suitable for documentation visualization of any software project.
Guides information security engineering—implementing and operating security controls, identity and access systems, encryption and secrets management, security tool integrations (SIEM, EDR, SOAR), cloud guardrails, hardening baselines, and remediation engineering for vulnerabilities. Use when building SSO/RBAC/PAM patterns, configuring KMS or certificate lifecycle, deploying WAF/DLP or EDR connectors, writing security-as-code policies (OPA, SCPs, CIS benchmarks), integrating logging to SIEM, automating security workflows, or validating control fixes—not for SOC triage (soc-analyst), pentesting (penetration-tester, network-pentester, web-pentester), red team (red-team-specialist), CI gates only (devsecops), platform provisioning without security ownership (infrastructure-engineer), CISO/exec program (chief-information-security-officer), security program strategy (cybersecurity), GRC program and audit prep (compliance-specialist), or product tenancy isolation (product-infrastructure-security-engineer).
Generate a fully working React + Vite app that explains a codebase's workflows, data types, and architecture through interactive visuals — click-to-step animated walkthroughs with auto-play, sequence diagrams, animated packet tracers, message inspectors that toggle between named-field view and raw JSON, and collapsible code peeks with file:line citations. Splits the repo into 4–6 domain clusters and dispatches one content agent per cluster to write the pages in parallel. The skill bundles its own reference pages (under references/examples/) so it works in any repo. Use this skill whenever the user asks for interactive docs, animated explainers, an "agent team" for docs, one page per domain, wants to visualize a system's request flow or wire protocol, or any visual documentation site. Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in .claude/settings.json.
Generate and track comprehensive due diligence checklists tailored to the target company's sector, deal type, and complexity. Covers all major workstreams with request lists, status tracking, and red flag escalation. Use when kicking off diligence, organizing a data room review, or tracking outstanding items. Triggers on "dd checklist", "due diligence tracker", "diligence request list", "what do we still need", or "data room review".
Prioritized TypeScript React code review guidelines. Focuses on type safety, React conventions, performance, security, architecture, accessibility, error handling, and testing. First scan the code to identify issues, then obtain solutions and review comment templates from the references/ directory.
Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities.
Tongdaxin Quantitative Data Retrieval Skill. Use this skill when users mention tdxquant, Tongdaxin, TdxQuant, tqcenter, and need to obtain A-share market data (market snapshot, K-line, financial data, sector data, convertible bonds, new stocks, trading data, etc.), query trading calendars, execute Tongdaxin formulas, subscribe to market quotes, or place trading orders.
Build structured hierarchical memory systems for LLM agents using GAM (General Agentic Memory) with support for text, video, and agent trajectories
Multi-agent deep research for comprehensive market analysis using the aipa CLI. Use this skill when the user asks for deep research, thorough market analysis, sector-wide investigation, comprehensive stock comparison, or detailed financial report. This runs a supervisor → parallel workers → aggregator → reviewer pipeline that takes longer but produces more thorough results than a simple analyze. Trigger for requests like "research banking sector", "deep dive into real estate stocks", or "comprehensive market overview". Can also incorporate fundamental analysis (PE, ROE, NPL, CAR, financial ratios) via `aipa fundamentals` when the user asks for fundamental context alongside technical research.