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Found 426 Skills
All-in-one Assistant for Data Analysis and Office Productivity. Covers end-to-end workflows including data processing, analytical insights, report writing, PPT creation, and data visualization. Always approach from an expert perspective and think one step ahead for users. Proactively confirm with users when encountering uncertain issues. Supported features: Excel data analysis, campaign data review, ROI calculation, data visualization, report generation, PPT creation, formula generation. Use this skill when users mention terms like "analyze data", "create report", "make PPT", "Excel", "campaign analysis", "ROI", "review", "weekly report", "monthly report", "data processing", "chart", "visualization", "presentation", "spreadsheet", "formula".
Analyzes events through cybersecurity lens using threat modeling, attack surface analysis, defense-in-depth, zero-trust architecture, and risk-based frameworks (CIA triad, STRIDE, MITRE ATT&CK). Provides insights on vulnerabilities, attack vectors, defense strategies, incident response, and security posture. Use when: Security incidents, vulnerability assessments, threat analysis, security architecture, compliance. Evaluates: Confidentiality, integrity, availability, threat actors, attack patterns, controls, residual risk.
Build a 4-quadrant empathy map (Says, Thinks, Does, Feels) to synthesize user research into actionable insights. Use when you need to quickly capture and share user understanding across the team.
Use when analyzing Xiaohongshu audience demographics, understanding follower characteristics and behavior patterns, creating user personas to guide content strategy, identifying audience segments for targeting, or using audience insights to optimize content and engagement
Use when building, migrating, or debugging Agent Evals on Inngest: scoring AI agent or workflow outcomes, deferred scorers, sessions, traces, step experiments, experiment variant attribution, Insights queries, or production eval loops for prompts, models, tools, providers, and agent behavior. Covers TypeScript SDK v4 scoring beta APIs, `scoreMiddleware`, `step.score`, `inngest.score`, `createScorer`, `defer`, `group.experiment`, `experimentRef`, `meta.sessions`, and when to use durable workflow primitives for outcome-based evaluation.
Analyze earnings call transcripts to extract key insights about future guidance, strategic priorities, management commentary, and market signals.
Use to link segments and insights to GTM plays, owners, and measurement plans.
Analyze Rspack/Webpack bundles from local Rsdoctor build data without MCP. Zero-dependency JS CLI for chunk/module/package/loader insights.
Fixes flaky tests by analyzing failure patterns from Tuist test insights, identifying root causes, and applying targeted corrections. Can be invoked with a specific test case URL (e.g. `https://tuist.dev/{account}/{project}/tests/test-cases/{id}`) or without arguments to discover and fix all flaky tests in the project.
Recognize breakthrough moments, blocking resolutions, and design decisions worth preserving. Detect high-value insights that save future time. Suggest distillation at valuable moments, not routine work.
Deep Research Skill for Horizontal-Vertical Analysis. Proposed by digital life Khazix, it integrates core ideas from Saussure's diachronic-synchronic analysis, longitudinal-cross-sectional research design in social sciences, business school case study methods, and competitive strategy analysis. It is used when users want to systematically research a product, company, concept, technology, or person. The core is dual-axis analysis: the vertical axis tracks the complete life cycle from birth to the present (presented as a narrative story), while the horizontal axis conducts a systematic horizontal comparison with competitors/peers at the current time point. Finally, unique insights are generated by intersecting the two axes, and a beautifully formatted PDF research report is produced as the final output. Trigger words include but are not limited to: horizontal-vertical analysis, research for me, help me analyze, in-depth research, conduct a research, investigate, competitor analysis, help me understand how this thing is, what's this product/company/concept about, help me figure it out, help me understand it, do a deep research for me. Even if the user only says "help me understand XX" or "what's the background of XX", it should be triggered as long as the context implies a need for systematic in-depth research (rather than a simple conceptual explanation). It also applies to scenarios where the user sends a product name, company name, or technical term and says "help me research this". Do not use it for simple noun explanations (when the user only asks "what is XX"), do not use it for official account writing (use khazix-writer for that), and do not use it for pure title abstract generation (use wechat-title for that).
Use when a user provides tabular business data (Excel/CSV) and wants market-facing, non-academic insights with unclear analysis direction, requiring automatic metric/dimension selection and actionable outputs.