Run adversarial due-diligence on inflated success claims (founders, companies, products) to separate marketing bubble from real signal, attribute wins to product vs timing vs luck, and extract a replicable playbook mapped to your own resources.
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Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
daymadeCompare two videos and generate interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Use when analyzing compression results, evaluating codec performance, or assessing video quality differences
daymadeGenerate format-controlled research reports with evidence tracking, source governance, and multi-pass synthesis. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged). Enterprise Research Mode: six-dimension data collection, SWOT/barrier/risk frameworks, and three-level quality control for company research
daymadeScan and remove sensitive data (secrets, API keys, private domains/IPs, PII) from GitHub repository history. Use this skill whenever the user says scan sensitive data, clean git history, remove secrets from repo, sanitize GitHub history, 清理敏感数据, 历史重写, force push, 泄露, or needs to repair a public repo after accidental secret/private context leakage. Also use before any force push to a public repository to verify visibility, backup, and scan results.
daymadeInvestigate and resolve Cloudflare configuration issues using API-driven evidence gathering. Use when troubleshooting ERR_TOO_MANY_REDIRECTS, SSL errors, DNS issues, or any Cloudflare-related problems
daymade
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npx claudepluginhub p/daymade-benchmark-due-diligence-benchmark-due-diligenceDiscover, clone, update, and analyze competitor repositories with evidence-based competitive intelligence. Use when tracking competitors, reviewing competitor source code, adding a competitor repository, comparing product capabilities, building a competitor landscape, checking latest competitor code, or when the user says 竞品分析, competitor scan, analyze competitor, or compare with X. Repository-backed findings must come from local cloned code with file:line citations; market-landscape claims must cite their source and volatility.
daymade研究分析方法論
miles990Professional skills for data extraction and analysis using anysite MCP server. Covers LinkedIn, Instagram, Twitter/X, Reddit, YouTube, Y Combinator, SEC, and web scraping for lead generation, competitive intelligence, market research, social media analytics, person intelligence, VC analysis, and competitor research.
anysiteioTruth-seeking sparring partner for Claude Code. Challenges claims, decisions, and documents through structured dialectical analysis.
eranshirAdversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, navigates hard decisions, and forces honest post-mortems.
alirezarezvaniES: Vuelve a Claude en tu contra para criticar a fondo una idea, un plan o un proyecto entero — sin validar ni suavizar — por ocho ángulos, con investigación de fracasos reales y un veredicto priorizado de qué arreglar. EN: Turn Claude against you to harshly critique an idea, plan, or whole project across eight angles with a prioritized verdict.
Hainrixz