sellersprite-rpa
Unified sellersprite.com (Amazon seller analytics) RPA skill — one CLI for all 5 data sections. fetch --section products/keywords/markets/aba/competitors…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
17,418 results
Unified sellersprite.com (Amazon seller analytics) RPA skill — one CLI for all 5 data sections. fetch --section products/keywords/markets/aba/competitors…
Assistance with competition and project application materials. Use when users work on statistical modeling, mathematical modeling, Internet+, Challenge Cup, College Students' Innovation and Entrepreneurship Training Program, innovation and entrepreneurship, research training, and other projects. Assist in writing application forms, project plans, business plans, roadshow PPTs, defense scripts, project abstracts, technical roadmaps, innovation points, feasibility analyses, market analyses, research foundations, expected outcomes, budget estimates, and team division of labor. For non-paper-submission scenarios, can be linked with papers/software copyrights/patents/PPTs.
Data processing, data quality analysis, and dataset construction. Use when the user needs to clean data, handle missing/outlier values, perform feature engineering, data augmentation, split datasets, evaluate data quality, or needs to build a dataset from scratch (collection, annotation guidelines, format, documentation, privacy compliance, release). Before proposing an idea, first judge whether existing data is sufficient to support the research.
Standardized and tidy project folder organization. Use when a task involves creating a new project, organizing an existing project structure, or standardizing file naming and versions. Plan data, src, models, results, figures, docs, paper, ppt, patent, software-copyright, experiments, logs, configs, references, ass…
Reviewer comment simulation and revision response. Use when users need to pre-review a paper before submission, or to do revisions after receiving real reviewer comments. Simulate strict review by top-journal/top-conference reviewers, giving contribution evaluation, strengths, weaknesses, must-fix issues, suggested additional experiments, rejection risk, and likely follow-up questions. After receiving real comments, analyze reviewer concerns, formulate a revision strategy, write a point-by-point response letter, and revise the corresponding parts of the paper.
Submission positioning and journal/conference matching. Use when the user asks which journal/conference to submit to, wants an assessment of acceptance likelihood/acceptance probability, or is doing submission planning. Based on paper quality, direction, degree of innovation, experimental completeness, language level, author background, and budget, recommend Chinese/English journals, SCI/SSCI/EI/CCF/core, and international/domestic conferences. Analyze submission difficulty, direction match, review cycle, page charges, and use verifiable signals to make a qualitative grading of acceptance likelihood (high...
Use when setting up, repairing, provisioning, or verifying local Lightfast PlanetScale database or Upstash Redis infrastructure, including db up, redis up, env…
Use when working with Drizzle ORM against this repo's PlanetScale MySQL (Vitess) database in @db/app — adding or changing mysqlTable schema, generating or…
Generate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values,…
Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island…
Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts,…
Kalodata data capabilities for TikTok Shop product selection and competitor research: discover and analyze products, shops, creators, shoppable videos, and livestream rankings and details.
Product, keyword, category, trend, store, review, exchange rate and package usage query capabilities for multiple Mercado Libre sites.
Product discovery, detail verification, trend analysis, and brand/category/seller product selection insights for the Ozon Russia marketplace.
Ozon marketplace, keyword, product, store, and category data product selection analysis capabilities, supporting opportunity discovery, product filtering, reverse lookup of traffic keywords, and in-depth evaluation.
Temu product, store and category data query capabilities, supporting filtering, rankings, product selection and category positioning.
Use to pull many structured records from ONE known listing page — team directories, product/pricing catalogs, job listings, conference speakers, paginated…
Use when someone has a business goal rather than a single query — "how can I use Linkup?", "enrich my leads", "build a competitor tracker", "research before my…
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown.…
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks…
Get current weather and forecasts (no API key required).
Taking the blame skill — helps you analyze why you have no choice but to take this blame, and how to take it gracefully and strategically.
Mind Map Generator - Quickly generate high-quality mind maps from images or documents. Supports image recognition (PNG/JPG/GIF/WebP) and document analysis (TXT/MD/DOCX/PDF), AI automatically extracts the structure to generate a clearly hierarchical mind map, and outputs three formats at the same time: PNG image (easy to share), XMind (editable), Markdown (modifiable). Trigger scenarios: user uploads an image/document...