القائمة
Capture and apply a consistent brand — colors, typography, logo usage, spacing, and voice — across generated documents, slides, and web artifacts. Use when output must match a company's visual identity, or when the user provides brand assets / a style guide to follow.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone HTML files with SVG graphics, a built-in dark/light theme toggle, and one-click export to PNG / JPEG / WebP / SVG. Accepts plain-language descriptions or pasted Mermaid code (flowchart, sequenceDiagram, stateDiagram) and lays the diagram out from scratch in archify style. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network topology, technical workflows, approval flows, runbooks, CI/CD flows, process diagrams, API call sequences, request lifecycles, data pipelines, ETL/ELT maps, PII boundaries, data lineage, state machines, lifecycle diagrams, status transitions, or asks to convert/beautify a Mermaid diagram.
Data analysis methodology — how to frame a question, pick the right technique, avoid statistical traps, and connect results to decisions. NOT a tool tutorial (pandas/polars/duckdb live in python-data-analysis) — this is the judgment layer: problem framing, analysis-type decision tree, experiment/causal design, and domain playbooks (churn, cohort, funnel, anomaly). Trigger: "왜 늘었/줄었지", 이탈 분석, 코호트, 퍼널, A/B 테스트, 인과추론, 상관 vs 인과, 유의성, 세그먼트, 이상 탐지, "이 데이터로 뭘 봐야", 지표 설계, exploratory analysis.
AWS cost management and FinOps practice — Cost Explorer, Budgets, Cost Anomaly Detection, CUR/data exports, cost allocation tags, Cost Categories, Savings Plans vs Reserved Instances, Compute Optimizer / Cost Optimization Hub, rightsizing, unit economics, showback/chargeback. Grounded in the FinOps Foundation Framework (Inform / Optimize / Operate). Trigger: cost anomaly, Savings Plan, Reserved Instance, rightsizing, cost allocation tag, chargeback, showback, unit cost, budget alert, CUR, Cost Explorer, unblended/amortized cost, RI coverage, commitment, "왜 청구서가 늘었지".
Track and report AI model token usage, spending, and budgets from a local cost-tracking database.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
| name | brand-guidelines |
| description | Capture and apply a consistent brand — colors, typography, logo usage, spacing, and voice — across generated documents, slides, and web artifacts. Use when output must match a company's visual identity, or when the user provides brand assets / a style guide to follow. |
| origin | harness |
| workloads | ["writing","frontend"] |
The multiplier that makes generated documents and decks look enterprise-grade instead of generic. Capture a brand once, then apply it everywhere (pdf-generation, pptx-generation, docx-generation, frontend-slides, web-artifacts).
Extract or ask for these, and record them as a small reusable spec (JSON/YAML or a short doc):
colors:
primary: "#1E2761" # dominant ~60-70% of surfaces
secondary: "#7A2048"
accent: "#408EC6"
neutral: ["#111111", "#6B7280", "#F5F5F5"] # text, muted, background
typography:
heading: "Poppins, sans-serif"
body: "Inter, sans-serif"
mono: "JetBrains Mono, monospace"
scale: { h1: 32, h2: 24, body: 16, small: 12 } # pt or px
logo:
primary: "assets/logo.svg"
clear_space: "1x logo height on all sides"
min_width: "24px"
voice: "confident, concrete, no hype — see humanize-writing"
primary for H1 and table headers, neutral for body; place the logo in the header/footer.--brand-primary, etc.) so the token set is the single source of truth.