3.6천건 · 관련도순
Shared foundation for all human-voice writing skills. Load before any profession-specific skill. Contains: burstiness principle, perplexity principle, soul injection techniques, community-discovered AI patterns with sources, additional core patterns, banned AI vocabulary, and scoring rubric.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when: portfolio, personal website, showcase work, developer portfolio, designer portfolio.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
To access Anthropic's official brand identity and style resources, use this skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit the project's agent / LLM instruction files for vague rules, missing examples, drifted compliance, and mechanical-enforcement opportunities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates Policy pattern for PHP 8.5. Creates encapsulated business rules for authorization, validation, and domain constraints. Includes unit tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive backlink analysis using DataForSEO API. Analyze backlink profiles, find link building opportunities, detect toxic links, compare with competitors, and identify link gaps. Use when user says "backlinks", "link building", "referring domains", "link profile", "toxic links", "link gap", "competitor links", or "domain authority".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
5-level verification pyramid: static→unit→Playwright E2E (homepage-first, 6bp)→AI visual→post-deploy. 8-check quality gate. Multi-agent testing (functional/security/a11y/performance). Playwright v1.59+ AI agents (Planner/Generator/Healer). WCAG 2.2 AA via axe-core v4.11. Percy+Chromatic visual regression. ADA Title II 2027/2028 deadlines.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply Google-style docstrings and inline comments to Python .py files. Use when documenting new functions/classes/modules, incrementally documenting touched code, or flagging rename opportunities as TODOs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use for the frontend phase after the API contract exists — deciding the screens as units of work (one job a person finishes in one go, per actor of the event timeline), collecting the views and commands each screen needs, keeping the screen map in frontend/README.md, building against the Lean CLI, then handing over to frontend-ux-review and the human screen check. Not for the spec-animation mockup (domain-mockup).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
変更内容を確認し、論理的な単位で複数のコミットに分けて実行します
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Kelly Retail Intel: App-in-Skill daily industry intelligence cockpit for retail stores and consumer brands (Busabase App-in-Skill). Use when the user asks about retail, stores, promotions, merchandising, shopping trends, weather/event sales opportunities,零售, or门店 scenes. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Kelly's market-intelligence desk (Busabase App-in-Skill). Merges passive competitor monitoring (Radar), agent-run deep research with approved briefs and cited reports (Research), and keyword/topic demand signals (Trends) over one Busabase-backed snapshot, watchlist, and review model. Use when the user invokes $kelly-radar or /kelly-radar, or asks for competitor monitoring, market intelligence, market research, research reports, trends, rising keywords, pricing changes, product launches, changelog diffs, competitor reviews, funding or hiring news, or opportunity triage.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build, analyze, repair, and audit finance three-statement models and operating forecasts. Use when the user invokes $kelly-finance, asks for 财务三表, 三表模型, income statement, balance sheet, cash flow statement, forecast model, budget model, financial projections, FP&A model, SaaS/unit economics forecast, fundraising model, board finance pack, investor model, model checks, balance-sheet balancing, cash runway, working capital, capex/depreciation schedules, debt schedules, scenario/sensitivity cases, or Excel/Sheets-ready finance outputs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Personal App-in-Skill voice-of-customer desk (Busabase App-in-Skill) aggregating user feedback from support email, Discord/Slack communities, X replies, app-store reviews, surveys, and interviews into clustered feature requests and a roadmap decision queue. Use when the user invokes $kelly-feedback or /kelly-feedback, or mentions user feedback, voice of customer, feature requests, roadmap decisions, feedback clustering, feedback triage, request dedupe, changelog replies, decline replies, or reviewing what users are asking for.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Digital-human implementation and demo skill for choosing, prototyping, and QA-ing low-cost 2D photoreal digital humans and high-control 3D custom digital humans. Use when the user wants a digital-human avatar, AI host, customer-service presenter, multimodal voice-to-lip-sync video stream, vendor comparison for services such as Silicon Intelligence / Tencent Zhiying / ZEGO-like real-time providers, or a UE/Unity 3D digital-human architecture and launch-ready demo.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Execute a single deterministic Python script to harmonize units, create/update metadata, move files to output_data/, and clean up input_data/.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Finish an existing Japanese creator, challenge, comeback, vlog, or community-building vertical social rough cut as an evidence-grounded short-form story. Use for strong opening declarations, identity and struggle arcs, crisis-to-goal recovery, multi-source B-roll and evidence stills, emotional typography, semantic punch-ins, pinned SFX, dialogue-first audio, platform-added music delivery, and creator-short retention QA.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Installs, configures, and tunes Snort 3 intrusion detection system to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins on authorized network segments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conduct internal Active Directory reconnaissance using BloodHound Community Edition to map attack paths, identify privilege escalation chains, and discover misconfigurations in domain environments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detect and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.