pyramid-principle
Hierarchical content structure - answer first, then supporting arguments, then details
Hierarchical content structure - answer first, then supporting arguments, then details
针对新产品、新技术进行多渠道信息搜索和验证,并将可靠信息保存到知识库。优先选择权威科技媒体,忽略过时信息源。当用户提到"最新信息"、"新产品"、"新技术"、"搜索资料"、"查资料"、"了解XX"时使用此技能。
从高熵的二手内容中回溯到低熵、权威、原始的信息源。 该技能通过结构化步骤,帮助用户验证消息真伪、理解原始语境, 建立独立的信息判断与溯源能力。
iOS/macOS app localization management for Tuist-based projects with .strings files. Use when: (1) Adding new translation keys to modules, (2) Validating .strings files for missing/duplicate keys, (3) Syncing translations across languages, (4) AI-powered translation from English to other locales, (5) Checking placeholder consistency (%@, %d), (6) Generating localization reports, (7) Updating Swift code to use localized strings instead of hardcoded text.
Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.
RFC 9457 Problem Details for standardized HTTP API error responses. Use when implementing problem details format, structured API errors, error registries, or migrating from RFC 7807.
End-to-end testing with Playwright 1.57+. Use when testing critical user journeys, browser automation, cross-browser testing, AI-assisted test generation, or validating complete application flows.
Activates when writing E2E tests, debugging test failures, or working with Playwright. Use this skill for: writing test cases, using data-testid selectors, handling async operations, mocking API responses, running tests in different modes, and debugging flaky tests. Keywords: test, playwright, e2e, spec, expect, locator, data-testid, assertion
Create realistic play-by-play commentary. Multiple announcer styles: traditional, hyped, analytical, homer. Color commentary included.
Generate player and team scouting reports. Strengths, weaknesses, tendencies, film breakdown, matchup advantages.
Debug regex patterns with visual breakdowns, plain English explanations, test case generation, and flavor conversion. Use when user needs help with regular expressions or pattern matching.
Analyze LinkedIn profiles in target accounts to identify potential internal champions. Evaluates role, career path, mutual connections, interests, and suggests personalization approach. Use when you need to find who will champion your solution internally.
Search and extract contact information for people or companies including names, phone numbers, emails, job titles, and LinkedIn profiles. Aggregates data from multiple sources and provides enriched contact details. Use when users need to find contact information, build prospect lists, or enrich existing contact data.
Efficiently route multi-stop trips with time management. Include transportation, restaurant/activity reservations timeline, and buffer time for spontaneity.
Merge multiple CSV/Excel files with intelligent column matching, data deduplication, and conflict resolution. Handles different schemas, formats, and combines data sources. Use when users need to merge spreadsheets, combine data exports, or consolidate multiple files into one.
Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.
AI-powered algorithm optimization agent for The Innovation Game protocol. Earns cryptocurrency by optimizing Rust algorithms. Use when optimizing TIG challenge algorithms or submitting solutions to the TIG network.
Reverse engineer any Solana BPF program (.so file) to understand its logic and restore readable source code. Use when analyzing compiled Solana programs, decompiling .so files, understanding unknown on-chain programs, extracting program logic, or when the user mentions BPF bytecode, reverse engineering, decompilation, or program analysis.
Execute production-safe code changes in the EstateWise monorepo. Use when implementing or fixing behavior in backend, frontend, MCP, agentic-ai, gRPC, deployment-control, tests, or repo docs. Do not use for pure brainstorming, skill installation, or work outside this repository.
Comprehensive Azure compliance and security auditing capabilities including best practices assessment, Key Vault expiration monitoring, and resource configuration validation. USE FOR: compliance scan, security audit, azqr, Azure best practices, Key Vault expiration check, compliance assessment, resource review, configuration validation, expired certificates, expiring secrets, orphaned resources, policy compliance, security posture evaluation. DO NOT USE FOR: deploying resources (use azure-deploy), cost analysis alone (use azure-cost-optimization), active security hardening (use azure-security-hardening), general Azure Advisor queries (use azure-observability).