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Found 1,946 Skills
Evaluate whether a development ticket (user story, feature request, bug report, etc.) is ready for development, and provide specific, actionable feedback if it is not. Use this skill whenever the user asks to triage, evaluate, assess, review, or check the readiness of a ticket, story, issue, or work item. The ticket can come from anywhere: pasted inline, read from a file, fetched from Jira or another tracker via MCP, or any other source. Also use this when a user asks "is this ticket ready?" or "what's wrong with this ticket?" or wants to improve a ticket's specification.
Execute tasks through competitive multi-agent generation, multi-judge evaluation, and evidence-based synthesis
Extract structured data from multiple web pages using Playwright with built-in ethical crawling practices including rate limiting, robots.txt compliance, and error monitoring. Use when asked to "scrape data from", "extract information from pages", "collect data from site", "crawl multiple pages", or when gathering structured data from websites. Supports pagination, multi-page extraction, data aggregation, and export to CSV/JSON/Markdown. Works with browser_navigate, browser_evaluate, browser_wait_for, and browser_snapshot tools.
Systematic 6-phase analysis of external repositories for ideas worth adopting: clone, parallel deep-read, self-inventory, synthesize gaps, targeted audit of affected subsystems, reality-grounded report. Use when evaluating whether an external repo provides value, analyzing repos for useful patterns, or comparing approaches. Do NOT use for general codebase exploration (use explore-pipeline instead).
Discover profitable Amazon niches with low competition and high demand. Evaluates niche viability using demand indicators, competition metrics, profit margins, and growth potential.
Analyze Taiwan's manufacturing industry structure including semiconductor, electronics, machinery, and petrochemical sectors. Use this skill when the user needs to understand Taiwan's industrial landscape, evaluate manufacturing sector opportunities, assess supply chain positioning, or contextualize Taiwan in global manufacturing — even if they say 'Taiwan manufacturing overview', 'semiconductor supply chain', 'what does Taiwan make', or 'industrial analysis of Taiwan'.
Apply Institutional Theory (DiMaggio and Powell, 1983) to analyze how coercive, mimetic, and normative isomorphic pressures shape organizational structures and practices. Use this skill when the user needs to explain why organizations in the same field look alike, evaluate whether a practice was adopted for legitimacy vs efficiency, analyze regulatory or social pressures on strategy, or when they ask 'why do all firms in this industry do the same thing', 'is this best practice or just conformity', or 'how do regulations shape our structure'.
Analyze Taiwan labor law fundamentals under the Labor Standards Act including working hours, overtime, leave, and termination rules. Use this skill when the user needs to understand employment obligations, calculate overtime pay, evaluate whether a termination is lawful, or design compliant HR policies — even if they say 'how much overtime pay do I owe', 'can I fire this employee', 'what leave are employees entitled to', or 'are we complying with labor law'.
Build marketing that people actually want using Seth Godin's Permission Marketing methodology—earn attention instead of demanding it, turning strangers into friends and friends into customers. Use when: **Build an email list** that's engaged and valuable; **Design lead magnets** that earn real permission; **Create content strategy** based on earning attention; **Evaluate marketing tactics** for permission vs. interruption; **Improve email marketing** by increasing anticipation and relevance
Dynamic, reflective problem-solving through structured sequential thoughts with support for branching, revision, and adaptive depth. Use this skill when: (1) Breaking down complex problems into steps, (2) Planning and design with room for revision, (3) Analysis that might need course correction, (4) Problems where the full scope is not clear initially, (5) Multi-step solutions requiring maintained context, (6) Situations where irrelevant information must be filtered out, (7) Any task benefiting from hypothesis generation, verification, and iterative refinement. Triggers: think through, step by step, break this down, sequential thinking, reason through, analyze step by step, think carefully, or when a problem clearly benefits from structured multi-step reasoning.
Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.
Documents the reasoning behind design decisions including alternatives considered, trade-offs evaluated, and principles applied. Use when making significant UX decisions, aligning with stakeholders on design direction, or preserving design context for future reference.