By daymade
Generate structured research reports with evidence mapping, citation tracking, source governance, and multi-pass synthesis for literature reviews, market analysis, and competitive landscapes
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npx claudepluginhub p/daymade-deep-research-deep-researchCo-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.
Compare 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
Scan 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.
Manage OpenClaw (龙虾 / lobster) instance configurations — audit, diff, copy, add-model, list, and switch models across openclaw.json files. Use when juggling multiple OpenClaw / Claude Code wrapper instances, applying DeepSeek model patches, managing default models and aliases, or validating config.
Investigate 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
Structured deep research methodology for Claude Code — query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents
AI-powered deep research with multi-agent source verification and structured outputs
Research sprint orchestrator for Claude Code. Structured research with claims, evidence tiers, and compiled output.
Agents for academic, market, and technical research, synthesis, and reporting
Claude Skills collection for market research, equity research, and investment analysis. Includes: verifying, topic-brief, analyst-research (3 modes: light/medium/heavy), local-vault (local Markdown knowledge base — file conversion + disciplined retrieval). | 市场研究 / 投研 / 行业分析 Claude Skills 合集。当前包含:verifying(信息核实)、topic-brief(主题观察简报生成器)、analyst-research(三档研究工作流:light/medium/heavy)、local-vault(本地 Markdown 知识库:文件转换 + 检索)
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.