Research & Search

malue-ai Skill

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

malue-ai Skill

Local web search (Tavily/Exa, requires API Key). For quick searches. If no Key configured or deep research needed, use cloud_agent instead.

malue-ai Skill

Search user's local knowledge base and files using the knowledge_search tool (FTS5 + semantic) and macOS Spotlight (mdfind) for filename lookup.

malue-ai Skill

Conduct multi-step autonomous research on any topic. Iteratively search, analyze, synthesize, and produce comprehensive research reports. Powered by Crawl4AI for high-speed content extraction.

malue-ai Skill

Personal knowledge base with SQLite FTS5 full-text search. Save, organize, and retrieve knowledge locally.

malue-ai Skill

Compare and analyze multiple academic papers or documents. Generate literature review tables, identify research gaps, and summarize key findings.

malue-ai Skill

Intelligent email management - draft replies, classify by priority, summarize inbox, and compose professional emails with appropriate tone.

linkfox-ai Bundle

从智慧芽（PatSnap）查询专利被引用数据，包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap"，只要其需求涉及查询某专利被引用次数或被哪些专利引用，也应触发此技能。

linkfox-ai Bundle

基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss时触发此技能。即使用户未明确提及"FastMoss"，只要其需求涉及在TikTok平台搜索商品数据或分析商品表现，也应触发此技能。

linkfox-ai Bundle

使用卖家精灵选市场列表能力，基于类目维度筛选亚马逊细分市场，支持市场规模、竞争度、头部集中度、卖家结构、新品占比、价格/评分/毛利区间等大量条件，用于发现可进入市场与评估选品方向。当用户提到亚马逊市场调研、细分类目研究、市场机会筛选、市场集中度分析、新品机会、选市场、SellerSprite market research、category market research时触发此技能。即使用户未明确提及"卖家精灵"，只要需求是按类目维度筛选和评估亚马逊市场，也应触发此技能。

linkfox-ai Bundle

基于Sorftime数据的亚马逊多维度产品搜索与筛选，涵盖14个站点，支持历史月份快照回看。当用户提到Sorftime产品搜索、亚马逊产品筛选、竞品调研、类目分析、品牌热销、卖家分析、季节性产品、历史快照回看、产品搜索、月销量月销额、ABA关键词找产品、价格范围筛选、新品发现、多条件组合筛选、product search, competitor research, category analysis, brand bestsellers, seller analysis, seasonal products, historical snapshot时触发此技能。即使用户未明确提及"Sorftime"，只要其需求涉及亚马逊产品搜索、筛选、对比或类目/品牌/卖家维度的产品探索，也应触发此技能。

linkfox-ai Bundle

从智慧芽专利数据库查询专利的前向引用详情。当用户询问专利引用、被引用专利、引用文献、专利参考文献、前向引用、在先技术引用或想查看特定专利在申请过程中引用了哪些专利、非专利文献、patent cited references, forward citations, patent references, citation analysis, PatSnap时触发此技能。当用户提供专利ID或公开号并需要引用信息时，即使未明确说"前向引用"，任何关于专利引用了哪些参考文献的请求都适用。

linkfox-ai Bundle

Seerfar Ozon 市场热词搜索：按搜索热度、增长、商品数、卖家数、竞品数、价格、销量、转化集中度等多维指标筛选 Ozon（及 Wildberries）市场关键词，返回每个关键词的月搜热度、增长、市场空间、竞品/卖家数、均价、加购转化、Top 商品等市场画像，用于 Ozon 选词、蓝海词挖掘与市场机会分析。当用户提到 Ozon 热词、Ozon 关键词市场分析、Ozon 选词、Ozon 蓝海词、Ozon 搜索热度、Wildberries 关键词、Seerfar Ozon、Ozon market keyword search, Ozon keyword research, blue ocean keywords Ozon 时触发此技能。即使用户未明确提到"Seerfar"，只要其意图是按指标筛选 Ozon 市场关键词并查看市场画像，也应触发此技能。

pproenca Bundle

Patterns and anti-patterns for using OpenAI Codex Goals — the persistent objectives feature introduced in Codex 0.128.0. Use this skill whenever writing, reviewing, or debugging a `/goal` invocation, deciding whether a task should be a Goal at all, drafting a research Goal that needs an evidence ledger, or diagnosing a Goal that completed against the wrong surface. Triggers on `/goal`, "Codex Goal", "Codex goals", "persistent objective", "evidence-based completion", "iteration policy", "blocked stop condition", or any user message describing a multi-turn Codex task with a defined finish line. Trigger even if the user doesn't explicitly mention Goals — if they're typing "/goal" or asking Codex to "keep going until X", this skill applies.

oldwinter Bundle

Plan and run Codex-native dynamic workflows for complex tasks that benefit from explicit orchestration, goal mode, subagents or simulated work packets, approval gates, integration, verification, and reusable workflow artifacts. Use when the user invokes this skill, asks for dynamic workflows, subagents, parallel agents, swarm-like work, Goal Maker orchestration, large audits, migrations, multi-track research plus implementation, or Claude Code-style fan-out/fan-in workflows.

oldwinter Bundle

Skills retrospective and improvement. Use when: - User asks to "review", "retrospect", "summarize" or "复盘" skills - User wants to analyze skills issues from the conversation - User requests skills optimization or improvement - End of conversation or after significant skill usage

oldwinter Bundle

Comprehensive research, analysis, and content extraction workflow for web and content research tasks.

yonatangross Skill

Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.

yonatangross Bundle

User personas, customer journey maps, interview guides, usability testing, and card sorting. Use when building user understanding, mapping customer experiences, planning user research sessions, or defining Jobs-to-Be-Done.

terrylica Bundle

AI-powered iterative deep-dive analysis of converted recordings. TRIGGERS - summarize recording, analyze session, what happened

terrylica Bundle

Scrape AI research URLs, archive with frontmatter, create GitHub Issues with identity verification.

terrylica Bundle

Complete post-session workflow - finalize orphaned recordings, convert, and AI summarize. TRIGGERS - post session, analyze recording, session review

terrylica Skill

Run Gemini Deep Research via browser automation. Persistent Chrome on CDP port 9222. Use when user asks to research a topic with.

terrylica Bundle

Validate findings, design shuffled nulls, check label leakage, review causal features. TRIGGERS - shuffled null, label leakage

terrylica Bundle

Adaptive epoch selection for Walk-Forward Optimization. TRIGGERS - WFO epoch, epoch selection, WFE optimization, overfitting epochs.

terrylica Bundle

Programmatic Firecrawl usage via the public API, academic paper routing, recursive deep research, and raw corpus persistence.

terrylica Bundle

DST-aware exchange session detection using exchange_calendars. Holiday & lunch break handling. TRIGGERS - exchange session, trading hours

terrylica Bundle

ZigZag swing pattern classification for algorithmic trading. UP-DOWN and UP-DOWN-UP patterns. TRIGGERS - zigzag, swing classification

terrylica Bundle

evaluating open deviation bar signal quality, computing Sharpe ratios with non-IID bars, running PSR/DSR/MinTRL statistical tests, or assessing.

terrylica Bundle

Multi-objective evolutionary optimization for per-metric percentile cutoffs and intersection-based config selection.

lyndonkl Skill

Scans a substacker draft line-by-line against the canonical voice-profile.md don't-list and signature moves. Emits phrase-level flags with location, quoted phrase, violation type, voice-profile citation, and up-to-2 suggested rewrites per flag. Use as pass-2 skill (voice) after structural-review completes, when a draft reads competent but not in the writer's voice, or when the writer asks "does this sound like me?" Trigger keywords — voice check, delve, unpack, paradigm shift, sounds AI, does this sound like me, voice violation.

lyndonkl Skill

Given a candidate item from the substacker Trend Scout fetch, WebFetches the full post or arXiv abstract and produces a one-line "teaches X" summary plus signal_type classification (mechanism / empirical / tool / opinion / announcement / benchmark). Distinguishes teaching-content from capability-announcement explicitly. Use during the weekly run, after fetching and before ranking. Trigger keywords — summarize, signal type, mechanism vs announcement, teaching content.

lyndonkl Bundle

Systematically evaluates claims by triangulating sources, rating evidence quality (primary/secondary/tertiary), assessing source credibility, and reaching confidence-rated conclusions to prevent confirmation bias and reliance on unreliable sources. Use when verifying claims before decisions, fact-checking statements, conducting due diligence, evaluating conflicting evidence, or when user mentions "fact-check", "verify this", "is this true", "evaluate sources", "conflicting evidence", or "due diligence".

lyndonkl Skill

Verifies every paper or named research result cited in a substacker draft uses the inline "Author(s), Institution, Year" form per style-guide, not a bare hyperlink or title-alone reference. Flags bare-hyperlink citations and missing-institution attributions. Use whenever the draft references external research. Trigger keywords — citation, paper citation, bare hyperlink, authors, institution, reference format.

lyndonkl Skill

Composes the final Technical Reviewer artifact at ops/technical-reviewer/YYYY-MM-DD-{slug}-review.md. Enforces frontmatter schema, section order (Summary → Blockers → Claims → Boundary-Break Suggestions → Glossary Alignment → Could-Not-Verify → Research Log), go/no-go decision rule, and never-modify-draft principle. Use exactly once per Technical Reviewer run as the last step. Trigger keywords — write review, technical review artifact, compose review, claim review output.

lyndonkl Skill

For each Trend Scout candidate item, checks substacker shared-context/topic-ledger.md and tags with NEW | OVERLAPS seed:{slug} | OVERLAPS draft:{slug} | OVERLAPS published:{slug}. Adds a reinforcement_angle note for items overlapping with published posts ("external confirmation of X"). Read-only against the ledger. Use after summarize-signal, before rank-by-user-fit. Trigger keywords — cross-ref, ledger check, overlap, reinforcement, dedup external.