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Found 993 Skills
Guides quantitative research for markets and finance—research question framing, data sourcing and quality checks, descriptive and inferential statistics, time series and panel methods (high level), factor and signal research, backtest design and pitfalls (lookahead, survivorship), risk metrics (volatility, drawdown, Sharpe limitations), regime and stress analysis, and reproducible notebooks or reports with explicit limitations and uncertainty communication. Use when the user mentions "quantitative research", "quant researcher", "factor research", "signal backtest", "time series analysis", "panel regression", "alpha research", "Sharpe ratio analysis", "survivorship bias", "lookahead bias", "econometric analysis", or "risk factor model". Not for production ML pipelines (data-scientist, ml-research-engineer), equity narrative reports (equity-research skills), SOX accounting (financial-statements), legal investment advice, or trading execution systems (senior-software-engineer).
Create pull request from completed feature branch using GitHub-native stacked PRs. Use when the user says 'create PR', 'submit for review', 'synthesize', or runs /synthesize. Validates branch readiness, creates PR with structured description, and manages merge queue. Do NOT use before review phase completes. Not for draft PRs.
Apply the skills collection's UPGRADE_NOTES.md after an upgrade. Re-syncs installed tracker and browser-provider descriptors while preserving local edits, reports custom-provider gaps, checks pipeline config and installed artifacts, and summarizes exactly what changed.
Use when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix — message-matched to the destination landing page. Not for scoring an ad account — use ad-account-auditor; not for the post-click page — use landing-optimizer; not for organic articles — use content-writer. 广告创意/广告文案/RSA标题
Skill for Homepage Check-up and Profile Rewriting in *Xiaohongshu Operation Manual · AI Workbench*. Triggered when users want to optimize the first impression of their homepage, account profile, nickname, avatar description, pinned notes, sense of trust, and positioning expression. Inputs can include homepage screenshot descriptions, nicknames, profiles, pinned notes, account positioning, products/services, and target users. Outputs include homepage diagnosis, problem priority, profile rewriting, and pinned note suggestions. If users focus on asking about the conversion path from content to private messages, purchases, reservations, experiences, or transactions, use xiaohongshu-conversion-path.
USE FOR finding places in the physical world - businesses, POIs, street addresses, cities and streets. Results carry address, coordinates, rating, opening hours and phone, so basic details need no follow-up call. Standalone - no POI IDs or prior web search required; the IDs it returns work with local-pois and local-descriptions. Locate by coordinates or a location string, or omit both to search globally. Omit the query to browse an area. Max 100 results.
Update an existing AI agent on a live LiteLLM proxy. Ask for the agent_id and what to change (model, description, MCP servers), then call PATCH /v1/agents/{agent_id}.
Update an existing MCP server on a live LiteLLM proxy. Ask for the server_id and what to change (URL, auth, description), then call PUT /v1/mcp/server.
Extracts YouTube trending videos by category and country using apidojo's YouTube Trending Scraper on Apify. Triggers when the user asks to: get trending YouTube videos, scrape what's trending on YouTube today, fetch YouTube trending videos in a specific country, get trending gaming or music videos on YouTube, export the YouTube trending page data, find viral YouTube videos right now, or collect top trending YouTube content by category. Returns video title, URL, view count, like count, channel info, description, and thumbnail per video. Ideal for content researchers, trend analysts, and YouTube marketers.
Turn any idea, brief, or rough instruction into 4 ready-to-paste prompts for AI image models (Midjourney, Nano Banana, GPT Images, Seedream, Flux, any other). Use when the user asks for an image prompt, a thumbnail / banner / logo / illustration prompt, says "write a prompt for this image", or wants to turn a description into something an image model can render. Differentiator: writes the prompt text only — to actually generate the image use the deepapi skill.
Write AI qualification prompt variables for prospect evaluation. Creates audience_description, disqualification_criteria, and optional qualification_criteria. Use when setting up AI qualification for a campaign. Triggers on "write qualification", "qualification prompt", or when dispatched by campaign-planning.
Runs on-page and technical SEO for a documentation site - indexability, canonicals and hreflang across versioned and translated pages, redirects, the generator's title and description templates, internal linking, and an owner-assigned fix list against an agreed pass threshold. Use whenever someone says "docs SEO", "our docs don't rank", "documentation search optimization", "the old version of our docs outranks the current one", "our docs pages aren't indexed", "fix the canonicals on our docs", "docs sitemap problems", "hreflang on our translated docs" or "preview docs got indexed" - even if they never say SEO. Covers versioned, translated and auto-generated reference docs. Not keyword research - use samber/developer-relations-skills@developer-keyword-research.