research

Comprehensive research and content extraction. Quick, standard, extensive, and deep modes with multi-source parallel investigation, content retrieval, and analysis. USE WHEN research, investigate, find information, analyze content, retrieve content, extract knowledge, web scraping, standard research, map landscape, competitive analysis, deep investigation.

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Dépôt: danielmiessler/Personal_AI_Infrastructure
Dernière activité de la source: 22 mars 2026 à 19:20
Langue détectée de SKILL.md: anglais
Étoiles: 15 967
Forks: 2 205

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.

npx skills add https://github.com/danielmiessler/Personal_AI_Infrastructure --skill research

La commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.

Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

SKILL.md

Instructions source · Aperçu en lecture seule

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apertureoscillation

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

2026-05-01

aphorisms

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

2026-05-01

apify

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

2026-05-01

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name	research
description	Comprehensive research and content extraction. Quick, standard, extensive, and deep modes with multi-source parallel investigation, content retrieval, and analysis. USE WHEN research, investigate, find information, analyze content, retrieve content, extract knowledge, web scraping, standard research, map landscape, competitive analysis, deep investigation.
metadata	{"author":"pai","version":"1.0.0"}

Research Skill

Modes

Mode	Depth	Sources	Time
Quick	Surface scan	2-3 sources	<1 min
Standard	Balanced coverage	4-6 sources	2-5 min
Extensive	Broad sweep	8-12 sources	5-10 min
Deep	Exhaustive	15+ sources	10-30 min

Workflow

Decompose the research question into 3-10 sub-queries
Search using web search across multiple angles
Extract key findings, data points, and insights
Synthesize into a structured report
Verify claims with cross-referencing

Output Format

## Research: [Topic]

### Key Findings
- [Finding 1 with source]
- [Finding 2 with source]

### Analysis
[Synthesis of findings]

### Sources
- [Source 1](url)
- [Source 2](url)

research

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Research Skill

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Research Skill

Modes

Workflow

Output Format

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