danielmiessler/personal_ai_infrastructure
41 skills3.5k installs703k starsGitHub
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npx skills add https://github.com/danielmiessler/personal_ai_infrastructureSkills in this repo
1FirstprinciplesThe firstprinciples skill teaches Personal AI Infrastructure agents to reason from fundamentals: strip inherited assumptions, identify core constraints, and rebuild conclusions so early research, planning, and architecture discussions rest on verified truths instead of convention.213installs2Privateinvestigatorprivateinvestigator in danielmiessler/personal_ai_infrastructure coordinates disciplined inquiry inside Personal AI Infrastructure: scoping cases, combining OSINT and document skills, maintaining notes, building timelines, and producing auditable summaries suitable for personal due diligence or professional research projects.170installs3RedteamThe redteam skill in danielmiessler/personal_ai_infrastructure guides adversarial testing of Personal AI Infrastructure: crafting attack prompts, simulating malicious tool use, evaluating guardrail failures, prioritizing fixes, and documenting residual risk before launching agents that touch sensitive data or external systems.156installs4CouncilThe council skill from danielmiessler/personal_ai_infrastructure implements a multi-agent deliberation layer for Personal AI Infrastructure, running distinct personas through structured debate to improve answers on ambiguous or high-stakes tasks instead of single-shot completions.150installs5ArtThe art skill adds generative image creation to Daniel Miessler's Personal AI Infrastructure, letting agents produce visuals for presentations, mockups, and content from natural-language prompts within the same orchestrated workflow.138installs6PromptingA meta-prompting standard library that generates, optimizes, and composes prompts programmatically through Handlebars templates and prompt-engineering standards. A developer uses it to produce reusable prompts, agent briefings, and eval prompts rather than final content.135installs7Apifyapify from danielmiessler/personal_ai_infrastructure integrates the Apify scraping platform into personal AI infrastructure—launching actors, retrieving datasets, and normalizing web extracts—so agents and automations ingest live external data instead of static snapshots.124installs8ResearchThe research skill from danielmiessler/personal_ai_infrastructure equips Personal AI Infrastructure to execute multi-step investigation workflows—finding sources, cross-checking claims, and producing decision-ready briefs during early discovery and ongoing learning.124installs9BecreativeBecreative skill from personal_ai_infrastructure provides structured creative prompting patterns that push LLMs beyond obvious answers toward distinctive concepts, narratives, and product angles. It helps solo builders and strategists in the idea stage discover differentiated directions before narrowing scope, building landing pages, or running validation experiments.123installs10FabricThe fabric skill bridges Personal AI Infrastructure with the Fabric framework, letting agents run pre-built patterns and stitches for summarization, extraction, and analysis so routine cognitive tasks stay consistent, testable, and reusable across sessions.123installs11CreateskillThe createskill skill in danielmiessler/personal_ai_infrastructure standardizes how new Personal AI Infrastructure skills are authored and registered, giving operators a repeatable path to extend agents with documented triggers, resources, and behavior instead of ad hoc prompt files.120installs12BrightdataThe brightdata skill integrates Bright Data into Personal AI Infrastructure so agents can scrape, search, and harvest structured web data through managed proxies and datasets, powering research, monitoring, and data-driven automation reliably.118installs13EvalsThe evals skill in danielmiessler/personal_ai_infrastructure operationalizes evaluation for Personal AI Infrastructure: curating prompt suites, scoring responses, comparing model versions, catching tool regressions, and documenting pass/fail thresholds before shipping agent behavior changes.116installs14WritestoryThe writestory skill in personal_ai_infrastructure enables agents to craft narrative fiction with structured arcs, characters, and revision passes, turning LLM assistance into repeatable creative content workflows for blogs, newsletters, or serial fiction.116installs15Createclicreatecli from danielmiessler/personal_ai_infrastructure guides building command-line interfaces atop Personal AI Infrastructure: naming commands, structuring subcommands, wiring agent tools to stdin/stdout, and publishing repeatable terminal workflows that complement interactive agent sessions.115installs16TelosThe telos skill from personal_ai_infrastructure guides agents to articulate core purpose, values, and boundaries for a personal AI system, establishing a durable identity layer that steers later tooling, prompts, and automation choices.113installs17Aphorismsaphorisms from danielmiessler/personal_ai_infrastructure adds curated and generated short-form wisdom to personal AI stacks, letting agents surface memorable quotes, tone cues, and reflective prompts as part of a living assistant personality layer.110installs18ExtractwisdomThe extractwisdom skill from danielmiessler/personal_ai_infrastructure turns verbose inputs into concise, reusable wisdom records for Personal AI Infrastructure, helping agents retain principles and lessons across sessions instead of re-reading entire source material.106installs19ScienceThe science skill from danielmiessler/personal_ai_infrastructure equips personal AI agents to conduct structured research: framing questions, reviewing sources, and producing rigorous notes that inform later build and validate decisions.105installs20IterativedepthThe iterativedepth skill guides Personal AI Infrastructure agents through repeated research passes that start broad and narrow intelligently, adding context and follow-up questions each cycle until complex topics are explored at the depth required for sound decisions.104installs21SalesTransforms product documentation into sales-ready narrative packages that pair a first-person story with charcoal sketch visuals and talking points. A developer uses it to turn technical docs into pitches, sales decks, and value propositions.101installs22UsmetricsAnalyzes 68 US economic and social indicators sourced from FRED, EIA, Treasury, BLS, and Census APIs with trend analysis and cross-metric correlation. A developer uses it to refresh the metrics dataset and generate economic overviews.98installs23RemotionCreates professional videos programmatically with React using Remotion, producing compositions, animations, and motion graphics rendered to MP4. A developer uses it to generate intros, social videos, and animated content from content.97installs24AudioeditorChains Whisper transcription, Claude segment classification (keep/cut fillers, false starts, stutters, dead air), and ffmpeg execution with crossfades and room-tone fill, plus optional Cleanvoice cloud polish. Developers use it to clean podcasts and recordings by removing filler words and dead air.59installs25WebdesignOrchestrates web UI design by driving Anthropic's Claude Design programmatically and integrating the results into existing applications as diffs. A developer uses it to create prototypes, design systems, or redesigns and turn them into production frontend code.43installs26ArxivDiscovers and summarizes arXiv papers across CS categories using title/abstract/author/category search with boolean operators, enriched by AlphaXiv markdown overviews. Developers use it to find the latest research papers or deep-dive a single paper by ID.38installs27WorldthreatmodelA persistent world-model harness that tests ideas, strategies, and investments against 11 time horizons using RedTeam, FirstPrinciples, and Council analysis. A developer uses it to produce probability-weighted scenario matrices for long-term risk assessment.36installs28ContextsearchScans a session registry, session names, work directories, and ISA titles in parallel, then falls back to git history, returning a compact context block of recent sessions. Developers use it to recall prior work and pick up where they left off.35installs29DaemonAggregates PAI data into a daemon-data.json, applies deterministic security filtering to strip sensitive content, and deploys a VitePress static site to Cloudflare Pages. Developers use it to publish and update a living public digital-presence profile.35installs30InterceptorDrives the real Chrome browser through the Interceptor extension with compound open/read/act/inspect commands, session reuse, network logging, and record-then-replay for regression. Developers use it to verify deploys, reproduce bugs, and test authenticated flows.35installs31KnowledgeManages the PAI Knowledge Archive, a curated graph of typed notes across People, Companies, Ideas, and Research with commands for search, add, harvest, ingest, and graph traversal. A developer uses it to store, retrieve, and connect personal knowledge notes with typed relationships.35installs32SystemsthinkingProvides structural analysis of complex systems grounded in Meadows, Senge, and Forrester, with workflows for causal loops, archetypes, and leverage points. A developer uses it to understand why a recurring problem keeps returning and where a small change produces a large result.35installs33ApertureoscillationHolds a question constant while shifting the scope envelope across tactical, strategic, and synthesis passes to reveal design tensions invisible at a single zoom level. Developers use it for architecture decisions and design reviews weighing local versus system-level fit.34installs34BitterpillengineeringApplies the test 'would a smarter model make this rule unnecessary?' via Five Questions, classifying each rule and reporting estimated line and token savings across a full setup or a single file. Developers use it to trim CLAUDE.md and instruction files for better output.34installs35IsaScaffolds, interviews for, scores, reconciles, and seeds Ideal State Artifacts with a locked twelve-section body (problem, vision, goal, criteria, test strategy, and more). Developers use it to articulate done and define a project specification before building.34installs36LoopRuns an iterative improvement loop that re-runs a full OBSERVE-to-LEARN Algorithm cycle on a target across multiple passes. A developer uses it to progressively refine a file, skill, or prompt with human review or an opt-in autonomous mode between iterations.34installs37OptimizeRuns an autonomous optimization loop against any target using either a metric-producing shell command or LLM-as-judge binary evals. A developer uses it to automatically hill-climb code performance, bundle size, or the quality of skills and prompts.34installs38RootcauseanalysisProvides structured incident investigation grounded in Toyota Production System, Ishikawa, Swiss Cheese, and Google SRE practices, with five methods from 5 Whys to fault trees. A developer uses it to find contributing factors and latent conditions behind failures rather than stopping at the proximate cause.34installs39InterviewOrders PAI context files by phase and assigns a review or fill mode per file, walking the user through targeted questions and formatting answers back into structure with backups. Developers use it for a quarterly TELOS refresh or to fill missing setup context.33installs40MigrateIntakes existing content from external sources, classifies each chunk against the PAI destination taxonomy, and commits approved chunks with provenance. A developer uses it to bulk-import notes, rules, and exports into a PAI structure with confidence-gated approval.33installs41IdeateRuns a loop-controlled multi-cycle idea-generation system with controlled-noise perturbation, cross-domain borrowing, recombination, fitness scoring, and Lamarckian meta-learning. Developers use it when a hard problem needs genuinely new approaches beyond single-pass brainstorming.32installs