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概要と使いどころ
Mandatory pre-flight-search reference. Contains the Seats.aero workflow (pull ALL programs first), source accuracy hierarchy, Southwest/Companion Pass specifics, small-market caveats, and Duffel limitations.
日本語の概要は準備中です。原文の説明を表示しています。
Real-time GDS flight search via Duffel API. Accurate per-fare-class pricing, cabin selection, multi-city, time preferences. Primary cash price source. Does not include Southwest.
日本語の概要は準備中です。原文の説明を表示しています。
Guided trip planning workflow. Asks destination, dates, travelers, class, and flexibility, then runs parallel flight/hotel search with cpp math and booking plan.
日本語の概要は準備中です。原文の説明を表示しています。
Search Southwest Airlines fares and points pricing via Patchright browser automation. SW is not in any GDS or API. Covers all fare classes, Companion Pass value, and fare drop monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
Search Amex FHR/THC and Chase Edit hotels by city. Compare credits, benefits, and find stacking opportunities across card programs.
日本語の概要は準備中です。原文の説明を表示しています。
Google Flights cash prices, Google Hotels, and Google Travel Explore via SerpAPI. Use for award-vs-cash comparison, hotel search, and destination discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Search trains, buses, and ferries in Norway (Entur), Sweden (ResRobot), and Denmark (Rejseplanen). Intra-Scandinavia ground transport with schedules and Danish fare pricing.
日本語の概要は準備中です。原文の説明を表示しています。
Search award flight availability across 27 mileage programs via Seats.aero Partner API. Find cheapest award flights, compare programs, and get booking links.
日本語の概要は準備中です。原文の説明を表示しています。
只读查询 easyeda-agent 仓库的工具能力、实现、参数化样例与验证证据，适合在其他项目中复用 EDA 自动化经验。 Search the linked easyeda-agent checkout for capabilities, implementation, examples, and evidence; does not operate an EDA document.
日本語の概要は準備中です。原文の説明を表示しています。
Plan, triage, and write academic rebuttals and review responses. Use when an AI research agent needs to handle conference, journal, workshop, or grant reviews; classify reviewer concerns; decide what evidence or experiments can change the decision; write an AC-facing executive summary; draft per-reviewer responses; correct factual misunderstandings without sounding hostile; handle novelty, baseline, method, experiment, clarity, and scope objections; or produce a final rebuttal checklist.
日本語の概要は準備中です。原文の説明を表示しています。
Review and revise academic papers with a senior-reviewer workflow. Use when an AI research/coding agent needs to work on an existing paper draft, PDF, LaTeX project, Word document, markdown manuscript, rejected paper, or paper idea that already has a concrete direction, and produce: paper maps, weakness audits, insight/novelty checks, reviewer objections, claim-experiment matrices, theory/proof checks, experiment plans, statistics/reproducibility audits, figure/table audits, ethics/compliance checks, revision plans, detailed section edits, or final submission checklists.
日本語の概要は準備中です。原文の説明を表示しています。
Convert YouTube videos to SEO-optimized blog posts. Extract video title, description, and content, then generate a search-engine-friendly blog post with embedded video, cover images, optimized metadata, structured Markdown sections, clean resource blocks, and canonical 5-8 keywords. Auto-generates English filenames and saves to the configured Hexo blog posts directory. Includes tag management rules to maintain a clean, consistent tag taxonomy.
日本語の概要は準備中です。原文の説明を表示しています。
Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pipeline against PaperWritingBench".
日本語の概要は準備中です。原文の説明を表示しています。
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".
日本語の概要は準備中です。原文の説明を表示しています。
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.
日本語の概要は準備中です。原文の説明を表示しています。
Route viral topic discovery across platform-specific account-growth skills. Use when the user asks for 起号选题, low-follower viral references, recent viral content, cross-platform topic mining, or does not specify whether to search WeChat, X, Bilibili, or YouTube.
日本語の概要は準備中です。原文の説明を表示しています。
Discover and list a site's URLs, with search filtering. Use for "map the site" or "find the URL for" requests — when the user knows the site but not the exact page, or wants site structure.
日本語の概要は準備中です。原文の説明を表示しています。
Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.
日本語の概要は準備中です。原文の説明を表示しています。
Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.
日本語の概要は準備中です。原文の説明を表示しています。
Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers queries against the corpus, lints the graph for health, and audits in-context human feedback filed from Obsidian or the local web viewer. Use when (1) scaffolding a new knowledge base for any research topic, (2) ingesting articles/papers/PDFs/web pages into raw/, (3) compiling or restructuring wiki articles from existing raw material, (4) answering questions against the wiki and filing durable answers back, (5) running lint passes for dead links / orphan pages / coverage gaps / audit shape, (6) processing human feedback from the audit/ directory and applying corrections. Not for general note-taking, daily journals, or non-wiki Obsidian use.
日本語の概要は準備中です。原文の説明を表示しています。
Weekdays, heavy browser lane. Captures the dated raw material tomorrow's drafts are built from, out of the member's own shipped work, their own site and changelog, their own signed in saved searches, and the places their audience already is. Every line carries a source URL read this run, a date, a verbatim quote, and an expiry. It invents nothing, it is read only everywhere and totally read only on LinkedIn, and it sends only where you released the channel, spends only where you released it, and never touches a credential.
日本語の概要は準備中です。原文の説明を表示しています。
Runs once by hand on the first day and once a month after that. On the first run it researches the business from its own public surfaces, reads the member's own already published posts, and builds the voice file from real samples rather than from an idea of a voice, then writes the plan, creates the proof inventory, seeds the opening slots, and registers the recurring jobs. On every monthly run it re reads the evidence the kit produced and rebuilds only what the evidence contradicts. It publishes only where you released the channel, never replies, spends only where you released it, and it never enters a credential.
日本語の概要は準備中です。原文の説明を表示しています。
Runs once by hand on the first day and once a month after that, light browser lane. On the first run it researches the business from its own published surfaces before asking anything, writes the strategy folder, creates the ledgers, seeds the opening cards, builds the single page dashboard, reconciles the schedule table, and registers the eight recurring jobs. On every monthly run it re-reads a month of the kit's own evidence, applies what changed, adds a tab for a channel that gained volume, rebuilds, and reconciles every registered job against the table. It holds every outbound action unless you released the channel, and it never enters a credential.
日本語の概要は準備中です。原文の説明を表示しています。