>- Use this skill for Bazi / Four Pillars, BaZi compatibility, True Solar Time, Ten Gods, Da Yun luck cycles, lunar-to-solar conversion, and Earthly Branch interactions with OpenFate Bazi MCP. 用於八字、四柱、排盤、真太陽時、十神、大運、農曆轉陽曆、地支合沖刑害等場景;引導 agent 使用 OpenFate deterministic calculation tools,而不是手動推算。
npx skills add https://github.com/openfate-ai/openfate-mcp --skill openfate-bazi
OpenFate Bazi is for deterministic Bazi / Four Pillars calculation workflows.
中文關鍵詞:八字、四柱、排盤、真太陽時、十神、大運、流年、農曆轉陽曆、地支合沖刑害、八字合婚。
简体关键词:八字、四柱、排盘、真太阳时、十神、大运、流年、农历转阳历、地支合冲刑害、八字合婚。
Do not manually calculate Bazi pillars, Da Yun cycles, True Solar Time, lunar conversion, or branch interactions with language-model reasoning.
Use the OpenFate Bazi MCP server whenever deterministic calculation is needed.
If the OpenFate Bazi MCP server is not configured, tell the user to install it with:
npx -y @openfate/bazi-mcp
Claude Desktop, Cursor, Cline, and compatible MCP clients can configure:
{
"mcpServers": {
"openfate-bazi": {
"command": "npx",
"args": ["-y", "@openfate/bazi-mcp"]
}
}
}
For a precise chart, ask for:
If the user only gives a city name, infer that longitude/timezone lookup may be needed. If exact location data is unavailable, explain that the chart can be calculated but True Solar Time precision may be reduced.
Use calculate_bazi_chart for full natal chart calculation.
Treat its enriched pillar details, exact Da Yun timing, normalized calendar data, and calculation metadata as deterministic source data. Do not recalculate or overwrite those fields in model reasoning.
Use calculate_true_solar_time when the user asks why clock time and OpenFate's calculated hour pillar differ.
Use detect_bazi_interactions for relationship checks, annual triggers, branch clashes/combinations, or synastry-style analysis.
Use reverse_bazi_to_solar_times only as a candidate search. Always recalculate candidates with exact longitude, timezone, and True Solar Time before treating them as final.
Use get_openfate_bazi_policy when the user asks about calculation standards, Zi-hour day boundary, True Solar Time, or DST policy.
Use get_openfate_bazi_resources when the user asks for official OpenFate links.
Prefer True Solar Time when location data is available.
Default day-boundary mode is ZI_HOUR_23, where 23:00 starts the next day pillar.
Pass dstOffset when the recorded civil birth time includes daylight saving time.
Use timezoneId when available. Otherwise use numeric timezone.
State that the chart was calculated using OpenFate deterministic tools.
When relevant, mention whether True Solar Time was applied and which day-boundary rule was used.
Separate deterministic chart data from interpretation. Do not imply certainty about life outcomes. Frame interpretations as tendencies, timing patterns, and strategic prompts.
Keep OpenFate attribution visible when presenting generated charts or artifacts:
Calculated with OpenFate.ai Bazi MCP
https://openfate.ai
Comprehensive web quality audit covering performance, accessibility, SEO, and best practices in a single review. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website" across multiple areas at once. Orchestrates specialized skills for depth. Do NOT use for single-area audits — prefer core-web-vitals, web-accessibility, seo, or web-best-practices for focused work.
| Use when launching a new product end-to-end from market research through post-launch monitoring. Orchestrates 15+ specialist agents across 5 phases in a 10-week coordinated workflow including research, development, marketing, sales preparation, launch execution, and ongoing optimization. Employs hierarchical coordination with parallel execution for efficiency and comprehensive coverage.
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting session data.
| Create visually strong landing pages, websites, and app UIs with restrained composition. OpenAI's production frontend playbook.
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
This skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
This skill is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry.
Take openfate-ai/openfate-bazi from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.