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SkillsMP は danielmiessler/Personal_AI_Infrastructure から 234 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 234 件中 40 件を表示しています。
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…
原文の言語: 英語
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:…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Search and retrieve arXiv academic papers by topic, category, or paper ID — with AlphaXiv-enriched AI-generated overviews. Uses arXiv Atom API (no auth) for discovery and search across cs.AI, cs.LG, cs.CL (NLP/LLMs), cs.CR (security), cs.MA (multi-agent),…
原文の言語: 英語
AI-powered audio and video editing pipeline: Whisper word-level transcription (insanely-fast-whisper on MPS) → Claude segment classification (KEEP / CUT_FILLER / CUT_FALSE_START / CUT_STUTTER / CUT_DEAD_AIR / CUT_EDIT_MARKER) → ffmpeg execution with 40ms qsin…
原文の言語: 英語
Divergent ideation and corpus expansion using Verbalized Sampling + extended thinking. Single-shot mode generates 5 internally diverse candidates (p<0.10 each) and surfaces the strongest. Multi-turn mode expands a small seed corpus (5-20 examples) into a…
原文の言語: 英語
Audits any AI instruction set for over-prompting using the core test: would a smarter model make this rule unnecessary? Applies Five Questions to every rule — Does Claude already do this? Contradiction? Redundant? One-off fix? Vague? — then classifies each as…
原文の言語: 英語
4-tier progressive scraping with automatic escalation: Tier 1 WebFetch (fast, built-in), Tier 2 curl with Chrome headers (basic bot bypass), Tier 3 agent-browser (headless JavaScript rendering via Rust CLI daemon), Tier 4 Bright Data MCP proxy (CAPTCHA,…
原文の言語: 英語
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…
原文の言語: 英語
Multi-agent collaborative debate that produces visible round-by-round transcripts with genuine intellectual friction. All council members are custom-composed via ComposeAgent (Agents skill) with domain expertise, unique voice, and personality tailored to the…
原文の言語: 英語
Generate production-ready TypeScript CLIs using a 3-tier template system: Tier 1 llcli-style manual arg parsing (zero deps, Bun + TypeScript, ~300-400 lines — 80% of cases), Tier 2 Commander.js (subcommands, nested options, auto-help — 15%), Tier 3 oclif…
原文の言語: 英語
Complete PAI skill development lifecycle across two tracks. Structure track: scaffold new skills (TitleCase dirs, flat 2-level max, Workflows/ + Tools/ + References/ only), validate against canonical format, canonicalize existing skills. Effectiveness track…
原文の言語: 英語
Manage the public daemon profile — a living digital representation of what you're working on, thinking about, reading, and building. DaemonAggregator.ts reads PAI sources (TELOS missions/goals/books/wisdom, KNOWLEDGE/Ideas titles, PROJECTS.md, MEMORY/WORK…
原文の言語: 英語
Parallelize work via six patterns: built-in agents (Engineer/Architect/Algorithm/Explore/Plan via Task), worktree-isolated agents (conflict-free parallel file edits), background agents (run_in_background: true, non-blocking), custom agents (ComposeAgent via…
原文の言語: 英語
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…
原文の言語: 英語
Content-adaptive wisdom extraction that reads the content first, detects what wisdom domains are actually present, then builds custom sections around what it finds — instead of forcing static headers every time. A security talk gets 'Threat Model Insights'…
原文の言語: 英語
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,…
原文の言語: 英語
Physics-based reasoning framework (Musk/Elon methodology) that deconstructs problems to irreducible fundamental truths rather than reasoning by analogy. Three-step structure: DECONSTRUCT (break to constituent parts and actual values), CHALLENGE (classify…
原文の言語: 英語
Evolutionary ideation engine — loop-controlled multi-cycle idea generation through 9 phases (CONSUME, DREAM at noise=0.9, DAYDREAM at noise=0.5, CONTEMPLATE at noise=0.1, STEAL cross-domain borrowing, MATE recombination via Fisher-Yates shuffle, TEST fitness…
原文の言語: 英語
Real Chrome browser automation via Interceptor extension — controls the actual browser from inside (zero CDP fingerprint, passes all major bot detection checks including BrowserScan, Pixelscan, CreepJS, Fingerprint.com). Stays logged in, uses your real…
原文の言語: 英語
Runs a phased conversational interview across all PAI context files using InterviewScan.ts, which orders targets by PHASE and assigns conversation mode per file. Phase 1 (foundational TELOS) always runs first regardless of completeness: MISSION, GOALS,…
原文の言語: 英語
Owns the Ideal State Artifact — the universal primitive that holds the articulated ideal state of any thing (project, task, application, library, infrastructure, work session) as a hard-to-vary explanation. The ISA is a single document that articulates the…
原文の言語: 英語
Structured multi-angle exploration that runs 2-8 sequential passes through the same problem, each from a systematically different scientific lens, to surface requirements and edge cases invisible from any single angle. Grounded in 20 established techniques…
原文の言語: 英語
Manage the PAI Knowledge Archive — a curated, typed graph of notes across four entity domains: People, Companies, Ideas, and Research. Operations: search (3-pass: lexical + frontmatter + wikilink), add (creates note with mandatory typed cross-links), harvest…
原文の言語: 英語
Iterative improvement loop — revisit and refine a target across multiple Algorithm cycles toward an ideal state. USE WHEN loop, iterate, refine, improve iteratively, multiple passes, keep improving, loop mode, revisit, rework.
原文の言語: 英語
Intakes existing content from external sources, classifies each chunk against the PAI destination taxonomy, and commits approved chunks with provenance. Sources: .md/.markdown/.txt, stdin, PAI TELOS/MEMORY/KNOWLEDGE dirs, CLAUDE.md/.cursorrules/OpenAI Custom…
原文の言語: 英語
Autonomous optimization loop — hill-climb any target. Code with metrics, or skills/prompts/agents with LLM-as-judge eval. USE WHEN optimize, autoresearch, hill climb, improve metric, reduce latency, improve performance, benchmark optimization, bundle size,…
原文の言語: 英語
Generate prioritized PAI upgrade recommendations via 4 parallel threads: Thread 0 (prior-work audit — reads current Algorithm, PATTERNS.yaml, hooks, settings, recent ISAs, and KNOWLEDGE to assign Prior Status tags), Thread 1 (user context — TELOS goals,…
原文の言語: 英語
Ethical people-finding and identity verification using 15 parallel research agents (5 types x 3 each = 45 concurrent search threads) across people search aggregators, social media, public records, and reverse lookups. Covers TruePeopleSearch,…
原文の言語: 英語
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…
原文の言語: 英語
Military-grade adversarial analysis that deploys 32 parallel expert agents (engineers, architects, pentesters, interns) to stress-test ideas, strategies, and plans — not systems or infrastructure. Two workflows: ParallelAnalysis (5-phase: decompose into 24…
原文の言語: 英語
Creates programmatic video with React via Remotion — builds compositions, sequences, and motion graphics rendered to MP4. Uses useCurrentFrame() for all animation (no CSS animations). Integrates PAI_THEME constants from Theme.ts and Art skill aesthetic…
原文の言語: 英語
Structured incident investigation grounded in Toyota Production System, Kaoru Ishikawa, James Reason's Swiss Cheese model, Dean Gano's Apollo method, and Google SRE blameless-postmortem culture. Five workflows: FiveWhys (linear/branching causal chain,…
原文の言語: 英語
Transforms product documentation into sales-ready narrative packages combining story explanation, charcoal gestural sketch art, and talking points. Pipeline: extract narrative arc → determine emotional register (wonder, determination, hope) → derive visual…
原文の言語: 英語
The scientific method as a universal problem-solving algorithm — goal-first, hypothesis-plural, falsifiable experiments, honest measurement. Seven core workflows: DefineGoal, GenerateHypotheses (minimum 3 required — single-hypothesis testing is confirmation…
原文の言語: 英語
Structural analysis of complex systems grounded in Donella Meadows, Peter Senge, Jay Forrester, Russell Ackoff, and the Santa Fe Institute tradition. Five workflows: Iceberg (walk Events → Patterns → Structures → Mental Models to find why the same thing keeps…
原文の言語: 英語
Design and integrate web interfaces using Anthropic's Claude Design (claude.ai/design) as the primary engine, with optional downstream handoff to the frontend-design plugin for production code. Drives Claude Design through the Interceptor skill for…
原文の言語: 英語
Persistent world-model harness that stress-tests ideas, strategies, and investments against 11 time horizons from 6 months to 50 years. Each horizon model is a deep (~10 page) analysis of geopolitics, technology, economics, society, environment, security, and…
原文の言語: 英語
Constructs fiction across seven simultaneous narrative layers (Meaning, Character Change, Plot, Mystery, World, Relationships, Prose) powered by Will Storr's Science of Storytelling, Pressfield's structure framework…
原文の言語: 英語