rootcauseanalysis

More from danielmiessler/personal_ai_infrastructure

• art

  Generates static visual content across 20+ formats via Flux, Nano Banana Pro (Gemini 3 Pro), and GPT-Image-1. Covers blog header illustrations, editorial art, Mermaid flowcharts, technical architecture diagrams, D3.js dashboards, taxonomies, timelines, 2x2 framework matrices, comparisons, annotated screenshots, recipe cards, aphorism/quote cards, conceptual maps, stat cards, comic panels, YouTube thumbnails, PAI pack icons, and brand-logo wallpapers. Named workflows: Essay, D3Dashboards, Visualize, Mermaid, TechnicalDiagrams, Taxonomies, Timelines, Frameworks, Comparisons, AnnotatedScreenshots, RecipeCards, Aphorisms, Maps, Stats, Comics, YouTubeThumbnailChecklist, AdHocYouTubeThumbnail, CreatePAIPackIcon, LogoWallpaper, RemoveBackground. SKILLCUSTOMIZATIONS loads PREFERENCES.md, CharacterSpecs.md, and SceneConstruction.md. --remove-bg flag produces transparent-background PNG (can produce black backgrounds — verify visually). Up to 14 reference images per request (5 human, 6 object Gemini API limit). Output staged to ~/Downloads/ for preview before any project directory copy. Nano Banana Pro uses --size for resolution tier 1K/2K/4K and separate --aspect-ratio. USE WHEN: art, illustration, diagram, flowchart, infographic, header image, thumbnail, visualize, generate image, mermaid, architecture diagram, comic, icon, blog art, framework diagram, D3 chart, remove background, wallpaper. NOT FOR video or animation (use Remotion). NOT FOR the user's personal portrait/headshot (use a dedicated headshot skill).

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• recon

  Network reconnaissance — subdomain enumeration, port scanning, DNS/WHOIS/ASN lookups, endpoint discovery from JS, mass scanning, path discovery, CIDR/netblock analysis. Passive and active modes with corporate structure mapping and bounty program tracking. USE WHEN recon, reconnaissance, bug bounty, bounty programs, attack surface, subdomains, subdomain enumeration, port scan, mass scan, DNS, WHOIS, ASN, CIDR, netblock, IP recon, domain recon, passive recon, corporate structure, endpoint discovery, path discovery, scan results, analyze scan, update tools.

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• browser

  Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or Interceptor).

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• prompting

  Meta-prompting standard library — the PAI system for generating, optimizing, and composing prompts programmatically. Owns three pillars: Standards (Anthropic Claude 4.x best practices, context engineering principles, 1,500+ paper synthesis, Fabric pattern system, markdown-first / no-XML-tags); Templates (Handlebars-based — Briefing.hbs, Structure.hbs, Gate.hbs, DynamicAgent.hbs, and eval-specific templates Judge.hbs, Rubric.hbs, TestCase.hbs, Comparison.hbs, Report.hbs used by Agents and Evals skills); and Tools (RenderTemplate.ts for CLI/TypeScript rendering with data-content separation). Philosophy: prompts that write prompts — structure is code, content is data. Delivered 65% token reduction across PAI (53K → 18K tokens) via template extraction. Output is always a prompt to be used elsewhere, not final content. Reference files: Standards.md (complete prompt engineering guide), Tools/RenderTemplate.ts (rendering implementation). NOT FOR generating final content or answers — this skill produces prompts only (for content, use the appropriate domain skill). USE WHEN meta-prompting, template generation, prompt optimization, prompt engineering, write a prompt for, generate an agent prompt, create system prompt, programmatic prompt, Handlebars template, optimize this prompt, prompt hygiene, context engineering, eval prompt, judge prompt, agent briefing.

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• fabric

  Execute any of 240+ specialized prompt patterns natively (no CLI required for most) across categories: Extraction (30+), Summarization (20+), Analysis (35+), Creation (50+), Improvement (10+), Security (15), Rating (8). Common patterns: extract_wisdom, summarize, create_5_sentence_summary, create_threat_model, create_stride_threat_model, analyze_claims, improve_writing, review_code, extract_main_idea, analyze_malware, create_sigma_rules, create_mermaid_visualization, youtube_summary, judge_output, rate_ai_response. Native execution reads Patterns/{name}/system.md and applies directly. Fabric CLI used only for YouTube transcript extraction (-y URL) and fallback URL fetching (-u URL). Patterns auto-synced from upstream Fabric repo via UpdatePatterns workflow. Workflows: ExecutePattern, UpdatePatterns. USE WHEN fabric, fabric pattern, run fabric, sync fabric, update patterns, use extract_wisdom, threat model, summarize, analyze claims, improve writing, review code, create prd, rate content, create diagram, mermaid diagram, STRIDE, sigma rules, analyze malware. NOT FOR comprehensive multi-agent investigation (use Research), content-adaptive dynamic extraction (use ExtractWisdom), or security threat intelligence aggregation (use AnnualReports).

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• core

  Personal AI Infrastructure core. AUTO-LOADS at session start. The authoritative reference for how the PAI system works, how to use it, and all system-level configuration. USE WHEN any session begins, user asks about the system, identity, configuration, workflows, security, or any other question about how the PAI system operates.

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