Skill Claude CodeCodex
Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback.
Skill Claude CodeCodex
Use this when the user wants a draft paper, figure bundle, README, release page, or experiment artifact reviewed before sharing. Checks evidence binding, claim scope, captions, layout clarity, and release readiness.
Skill Claude CodeCodex
Use this when the project needs real baseline results before or alongside the main model. Runs classical or literature-aligned baselines under the same protocol and writes a reproducible baseline summary.
Skill Claude CodeCodex
Use this when the project needs a dedicated data-quality review before model review. Checks data reality, split correctness, label health, leakage risk, shape consistency, and mock-data disclosure.
Skill Claude CodeCodex
Use this when the user wants to improve chart quality, standardize plotting style, regenerate release figures, or add captions/protocol notes. Normalizes fonts, colors, legends, units, and scope notes across Scientify figures.
Skill Claude CodeCodex
A research-idea tool that uses papers already stored in the workspace to suggest research directions, possible gaps, and new methods with citations.
Skill Claude CodeCodex
Knowledge metabolism: Day 0 init (discuss + baseline survey) or daily cycle (incremental search + update knowledge + generate hypotheses). Triggered by bootstrap and daily cron.
Skill Claude CodeCodex
Download academic papers: arXiv source/PDF by ID, DOI papers via Unpaywall open access. Supports batch download.
Skill Claude CodeCodex
Use this when the user wants to improve README, docs pages, or microsites so a new reader can understand what the project is, how to use it, what artifacts exist, and what the scope boundaries are within one screen.
Skill Claude CodeCodex
A process for collecting academic literature, including repeated searching, screening, and downloading of papers.
Skill Claude CodeCodex
Skill "research-experiment" from tsingyuai/scientify, covering research experiment, prerequisites, output, workflow and step 1: full training.
Skill Claude CodeCodex
A guided process for implementing a research plan in code, beginning by reading the plan.
Skill Claude CodeCodex
Use this skill when the user wants to research a topic, analyze papers, build ML models, or run experiments. Orchestrates the full pipeline: paper search → analysis → planning → implementation → review → experiments.
Skill Claude CodeCodex
A guided process for creating a research plan, starting by reading the available context.
Skill Claude CodeCodex
A guided process for reviewing research work and checking code as part of that review.
Skill Claude CodeCodex
A guided process for carrying out a research survey, meaning a detailed review of existing academic papers.
Skill Claude CodeCodex
Use this when the user wants a systems paper, experiment paper, technical report, or extended abstract drafted from existing Scientify artifacts. Builds a claim-bounded paper draft from experiment outputs, figures, and supporting notes.
Skill Claude CodeCodex
Use this when the user wants to write a literature review, survey paper, or thesis chapter from existing papers. Guides reading strategy, note-taking, synthesis, and academic writing. NOT for searching new papers (/research-collect) or generating ideas (/idea-generation).
Skill Codex
Collect Bilibili video and creator evidence with MediaCrawler through search, exact BV detail, comments, dynamics, contacts, and optional media. Use for topic, format, title, creator, or audience research with explicit time-range and quality controls.
Skill Codex
Collect Douyin competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles. Use for trend, hook, format, audience-language, or creator research that needs reproducible raw evidence and a documented selection method.
Skill Codex
Collect Kuaishou competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles. Use for trend, format, audience-language, or creator research requiring reproducible source records and explicit collection limits.
Skill Codex
Collect Baidu Tieba thread and user evidence with MediaCrawler using keyword or bar discovery, exact thread detail, replies, and creator pages. Use for community pain-point, vocabulary, objection, topic, or user research with thread-context preservation.
Skill Codex
Collect Weibo posts and creator evidence with MediaCrawler using search, exact post IDs, comments, optional media, and creator IDs. Use for discourse, trend, messaging, audience-language, or account research requiring preserved provenance and risk-aware detail enrichment.
Skill Codex
Collect Zhihu answers, articles, videos, comments, and creator evidence with MediaCrawler through search and exact URLs. Use for expert discourse, problem framing, objections, terminology, topic, or creator research where content type and question context must remain explicit.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: