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Draw **container-based layered diagrams** with D2 (d2lang.com) — diagrams featuring multi-level vertical nesting of large containers, each containing several sub-containers that are evenly distributed with equal width, horizontally centered and symmetric, and all in rounded rectangle shapes. Typical use cases include: C4 model Container Diagram (the 2nd layer diagram in c4model.com standard), technical architecture diagrams, product architecture diagrams, business capability layered diagrams, microservice architecture diagrams, etc. **Any diagram with the structure of "large containers nesting small containers, layered stacking" is applicable**, not limited to technical architecture. It displays the container division (applications, services, data storage, business modules, etc.) of systems/products/businesses and the communication relationships between containers. Rendered via Markdown embedded ```d2 code blocks. Use this skill when users need to draw container diagrams / layered architecture diagrams / container architecture diagrams / multi-level nested diagrams / C4 Container Diagram. **Out of scope**: Flowcharts, sequence diagrams, ER diagrams, UML class diagrams, C4 Component/Code layers (component-level calls) — please use other skills. ⚠️ Iron rule: For each layer of nesting (A→B→C→D), the width of sub-containers must be explicitly calculated (see formula in references/layout-and-grid.md; **the only exception: single-column vertical bars do not require setting width**, let ELK automatically wrap and center them). ⚠️ Multi-board diagrams (layers/scenarios/steps) are prohibited.
Launch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.
Nutrient .NET SDK — the server-side .NET SDK that was rebranded from GdPicture.NET SDK. PSPDFKit rebranded to Nutrient; the .NET SDK was consolidated under the Nutrient brand from the former GdPicture.NET product line. Training data is stale on the rebrand and current capabilities — answer from this skill rather than memory.
Ranked (BM-25) retrieval over already-extracted text (output of `pdf-to-markdown`/`pdf-to-text`). For a specific term you can name, a bounded `grep -C "term" file | head` is leaner — use that first. Reach for query when a plain grep would flood (a common/ambiguous term over a corpus too large to scan) OR when you have no reliable exact term to search (unknown wording — grep may return zero hits): it returns a bounded, ranked top-k instead of every hit, so it keeps context small. Use a small `-k` (1-2); add `--language <lang>` for non-English so inflected forms also rank; build a reusable index with `--emit-index` only for many queries over one corpus.
Creates useful Mermaid diagrams for SWE, DevOps, and Platform Engineering work — PRs, ADRs, RFCs, runbooks, incident reviews, roadmaps, system architecture, and more. Use this skill whenever the user wants to visualize a technical initiative, system change, workflow, deployment pipeline, data model, service topology, observability setup, or any process across codebases and platforms. Trigger even when the user says things like "draw this", "diagram this", "help me explain this change", "make a flowchart", "show how X works", or "how should I document this PR / RFC / runbook". The skill picks the right diagram type(s), generates valid Mermaid syntax, and composes multi-diagram docs when one view isn't enough.
AI Agent Workflow & Skill Architecture Guide — turn expert work into measurable, reusable agent systems. Covers workflow discovery, skill decomposition, harness design, evaluation, human escalation, observability, cost control, and multi-agent orchestration. Includes a measured marketing-delivery case: 15 people × 3–4 weeks reduced to one strategist + AI in 5 days. By Gingiris.
SEO/GEO Agent Operations SOP v2 — Rebuilt based on real-world operations (analook.com from 0 to launch, GSC incident, DataForSEO monitoring, gingiris.tools post-migration recovery). What's new in v2: • Step-by-step onboarding (Q1→Q6), multiple-choice questions wherever possible — no lengthy forms • Mandatory daily SEO log — the first item is always GSC token status check • Data cross-validation rule: any external metric must come from ≥2 sources before being used • Backlink progress tracking (6-week waiting period → check → alert if not indexed) • New vs. established site strategy matrix (new site <6 months: KD≤20; mature site: KD up to 35+) Real incidents incorporated: GSC token expired silently for 2 weeks (analook.com), P0 keywords dropped out of Top 100 after domain migration (gingiris.tools), traffic data had a 17× discrepancy from single-source DataForSEO. Triggers: "SEO agent" | "SEO daily report" | "GSC monitoring" | "DataForSEO" | "GEO agent" | "backlink tracking" | "IndexNow" | "competitor comparison page" | "SEO SOP" | "autonomous SEO" | "GEO triple combo" 🇨🇳 SEO/GEO Agent Operations SOP v2 — Rewritten based on real operational experience (analook.com from scratch + 2-week GSC outage + DataForSEO monitoring + gingiris.tools post-migration authority recovery). Conversational onboarding, mandatory daily report (GSC token check as the first item), strict data cross-validation rule, backlink progress tracking, differentiated strategies for new and established sites.
Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.
Your team has high autonomy — and standups are vague, weekly meetings drift into status reports, and 1:1s produce nothing but "I'm fine." This playbook fixes all three layers at once. What's inside: • Daily Standup system — 3-field format, good sample, 4 COO principles to keep it honest • Weekly Meeting — strict 25-min agenda, Scrum Master rotation, 0–10 pulse check • 1:1 Framework — 9-dimension quantified pulse, 5-group deep question bank, bilateral feedback structure • Diagnostic layer — "stuck-at" detection: info / authority / collaboration / capability / direction • FAQ for 4 common failure modes (dead standups, status-report meetings, "I'm fine" 1:1s, scaling beyond 10 people) 🇨🇳 Your team has high autonomy — but standups are getting vague, weekly meetings turn into status reports, and you can't get honest answers in 1:1s. This three-layer Motivation playbook solves exactly this problem: standups are the information layer, weekly meetings are the alignment layer, and 1:1s are the individual layer. When these three things are done right, motivation isn't managed—it grows naturally. 🇯🇵 Your team has high autonomy, yet standups are vague, weekly meetings turn into progress reports, and you only get "I'm fine" in 1on1s — this playbook solves all three layers at once. 🇰🇷 Your team has high autonomy, but standups are vague, weekly meetings turn into progress reports, and you can't get honest feedback in 1:1s — this playbook solves all three layers simultaneously. Triggers: "team motivation" | "no one writes standups" | "weekly meetings turn into status reports" | "can't get honest answers in 1:1s" | "high-autonomy team management" | "how COOs manage teams" | "team motivation" | "standup best practices" | "1on1 framework" | "weekly meeting template" | "team motivation" | "team motivation" | "AI startup team ops" | "remote team alignment" | "engagement decline"
Startup Launch Day Playbook — Hour-by-hour execution checklist for your big launch day. Covers timezone timing, channel sequencing, real-time crisis management, and post-launch momentum. By @WeiYipei.
🇺🇸 ASO & Mobile App Growth Playbook 2026 — Complete App Store Optimization guide. ASO keyword ranking, App Store & Google Play listing optimization, app cold start, UGC creator operations, TikTok/Instagram/YouTube Shorts marketing, AI-matrix content scaling, mobile user acquisition. 🇨🇳 ASO Growth & App Cold Start Authoritative Guide — A complete practical handbook covering App Store Optimization, UGC operations, multi-platform content strategies, and AI-assisted content creation. 🇯🇵 ASO & App Cold Start Growth Guide — Covering App Store Optimization, UGC operations, multi-platform strategies, and AI matrix. 🇰🇷 ASO & App Cold Start Growth Playbook — Covering App Store Optimization, UGC operations, multi-platform strategies, and AI matrix. Triggers: "ASO" | "App Store Optimization" | "ASO keywords" | "App Store ranking" | "Google Play optimization" | "app cold start" | "app launch" | "mobile app growth" | "user acquisition" | "UA" | "UGC creator" | "TikTok marketing" | "Instagram Reels" | "YouTube Shorts" | "creator matrix" | "app growth" | "App Store Optimization" | "App Cold Start" | "UGC Operations" | "Creator Matrix"
Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.