danielmiessler

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 s

Comprehensive AI agent evaluation framework with three grader types (code-based: deterministic/fast; model-based: nuanced/LLM rubric; human: gold standard) and pass@k / pass^k scoring. Evaluates agent transcripts, tool-call sequences, and multi-turn conversations — not just single outputs. Supports capability evals (~70% pass target) and regression evals (~99% pass target). Workflows: RunEval, CompareModels, ComparePrompts, CreateJudge, CreateUseCase, RunScenario, CreateScenario, ViewResults. Integrates with THE ALGORITHM ISC rows for automated verification. Domain patterns pre-configured for coding, conversational, research, and computer-use agent types in Data/DomainPatterns.yaml. Tools: AlgorithmBridge.ts (ISC integration), FailureToTask.ts (failures → tasks), SuiteManager.ts (create/graduate/saturation-check), ScenarioRunner.ts (multi-turn simulated-user), TranscriptCapture.ts, PAIAgentAdapter.ts (wraps Inference.ts), ScenarioToTranscript.ts. Code-based graders: string_match, regex_match, binary_tests, st

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

Compose CUSTOM agents from Base Traits + Voice + Specialization, and manage predefined functional TEAMS. Traits combine expertise (security, technical, research), personality (skeptical, analytical, enthusiastic), and approach (thorough, rapid, systematic). ComposeAgent.ts merges base + user config, outputs unique prompt + ElevenLabs voice + prosody. Predefined teams: engineering, architecture, marketing, design, security, research, content, strategy — each YAML-configured with roles, tensions, and specialist members. Observer team variant: read-only oversight agents that vote continue/halt/escalate against the tool-activity audit log (high-blast-radius or unattended runs only). USE WHEN create custom agents, spin up agents, specialized agents, agent personalities, available traits, list traits, agent voices, compose agent, spawn parallel agents, launch agents, engineering team, architecture team, marketing team, design team, security team, research team, content team, strategy team, get the team on this, obs

3-pass scope oscillation that holds a question constant while shifting the scope envelope — narrow/tactical, wide/strategic, then synthesis — to surface design tensions invisible at any single zoom level. Requires two distinct inputs: the tactical target (what you're building) and strategic context (the larger system it serves). Pass 1 captures the component's own internal logic. Pass 2 reveals what the system needs it to be. Pass 3 finds where those views diverge — that delta is the output. Produces: design tensions, scope recommendations, and coherence assessments. Single workflow: Workflows/Oscillate.md. BPE-fragile — quarterly test recommended to verify smarter models don't naturally oscillate scope without prompting. Best integration point: Algorithm OBSERVE phase (before ISC) or THINK phase (before approach commitment). NOT a lens rotation (that's IterativeDepth) and NOT idea generation (that's BeCreative). NOT FOR deep incident causal chains (use RootCauseAnalysis) or assumption decomposition (use Firs

Manages a curated aphorism collection with full CRUD — content-based matching, themed search, thinker research, and database maintenance. Organizes quotes by author, theme, context, and newsletter usage history to prevent repetition. Four workflows: FindAphorism (analyze newsletter content, match themes, return 3-5 ranked recommendations with rationale), AddAphorism (parse quote + author, extract themes, validate uniqueness, update theme index), ResearchThinker (deep research on philosopher, add sourced quotes to database), SearchAphorisms (search by theme, keyword, or author). Database at ~/.claude/skills/aphorisms/Database/aphorisms.md — stores full quote text, author attribution, theme tags, context/background, source reference, and usage history per entry. Theme index supports 12+ categories: Work Ethic, Resilience, Learning, Stoicism, Risk, Wisdom, Truth-seeking, Excellence, Curiosity, Freedom, Rationality, Clarity. Supported thinkers: Hitchens, Feynman, Deutsch, Sam Harris, Spinoza, plus any requested a

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

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 s

Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)

Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for any product or service.

Guide for creating new skills in Kai's personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or tool integrations. Follows both Anthropic skill standards and PAI-specific patterns.

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScri

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.

Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.