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Found 426 Skills
Analyzes Weibo (微博) trending topics and generates creative product ideas based on hot search keywords. Fetches real-time trending data from Weibo API, researches background information and user insights, evaluates product development potential using a 100-point scoring system, and creates an interactive HTML dashboard. Use when analyzing Chinese social media trends, identifying product opportunities from trending topics, or generating market-driven creative product concepts.
Ingest Codex CLI conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Codex sessions for knowledge, import their ~/.codex folder, extract insights from previous coding sessions, or says things like "process my Codex history", "add my Codex conversations to the wiki", or "what have I discussed in Codex before". Also triggers when the user mentions .codex sessions, rollout files, session_index.jsonl, or Codex transcript logs.
Help existing PostHog customers improve their PostHog instance. Triggers on "help [customer] improve their PostHog setup", "audit [company]'s PostHog instance", "create tracking plan for [company]", "design data schema for [customer]", or requests to improve analytics coverage, fix instrumentation gaps, expand PostHog usage, or build better insights for customers already using PostHog. Use when working with a customer who already has PostHog installed.
Query and summarize CawPlan QA Insights A3 TestRail execution progress for a Version or Run: execution rate, pass quality, deduplicated failure/blocker queue, and per-Ticket progress tables. Use when: A3 execution progress, test execution summary, TestRail run progress, execution summary, failure list, pass rate, untested count, status counts, custom status, 查询A3执行进度、查询Version测试进度、查询TestRail Run进度、执行摘要、失败列表、通过率、未执行统计、全status统计。 NOT for: importing test cases, creating TestRail Plans/Runs, filing defects (use `cawplan-defect-ticket`), or release risk assessment.
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
Analyzes AI coding assistant sessions and generates an HTML report with workflow insights. Use this skill when the user asks to analyze sessions, generate a report, view usage patterns, check statistics, or review their coding workflow. Trigger phrases include "analyze my sessions", "generate a report", "show my stats", "how have I been using you", "session insights", "세션 분석", "리포트 생성", "사용 패턴".
Interview-driven blog post drafting for technical product audiences. Use when user wants to write a blog post, article, or essay and needs help developing their thesis, structure, and initial draft. Triggers on "write a blog post", "draft an article", "help me write about X", "blog drafter", or when user has a topic they want to turn into written content. Conducts structured interviews using AskUserQuestion to extract the user's unique insights before generating drafts.
Analyzes events through narrative lens using story structure, character arc analysis, dramatic tension, thematic development, and narrative theory (three-act structure, hero's journey, conflict-resolution). Provides insights on narrative coherence, character motivations, dramatic stakes, plot development, and thematic resonance. Use when: Complex human stories, leadership analysis, organizational narratives, crisis narratives, cultural moments. Evaluates: Character development, narrative arc, dramatic tension, thematic depth, symbolic meaning, narrative coherence.
Comprehensive AB testing analysis tool that supports experimental design, statistical testing, user segmentation analysis, and visual report generation. It is used to analyze AB test results such as product revisions, marketing campaigns, and function optimizations, providing statistical significance testing and in-depth insights.
Analyze CSV files, generate summary statistics, and create visualizations using Python and pandas. Use when the user uploads, attaches, or references a CSV file, asks to summarize or analyze tabular data, requests insights from CSV data, or wants to understand data structure and quality.