Research skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

cli-anything-exa

Agent-native CLI for Exa web search and content retrieval workflows.

45.37k repo starsObserved in 5 repos
Research

cli-hub-meta-skill

Discover agent-native CLIs for professional software. Access the live catalog to find tools for creative workflows, productivity, AI, and more.

45.37k repo starsObserved in 3 repos
Research

logseq-answer-machine

Answer user questions about the Logseq repository by researching source code, docs, tests, runtime behavior, and local tools. Use when Codex needs to explain how Logseq works, why behavior happens, where logic lives, how CLI/Desktop/Web flows interact, or what evidence supports an answer, without implementing features or fixing bugs.

43.90k repo starsObserved in 1 repos
Research

gemini-deep-research

Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.

43.34k repo starsObserved in 1 repos
Research

binance-sports-ai-analyzer

Use when users ask for World Cup or 世界杯 AI match predictions, WC assistant probabilities, World Cup news insights, master analysis, recomputing football match win rates with custom correction signals, or trading a related prediction market after reviewing the AI analysis.

43.30k repo starsObserved in 2 repos
Research

signals-scout-general

Cross-product Signals scout. Looks for cross-product correlations and explores the surfaces the per-product specialist scouts don't cover.

35.56k repo starsObserved in 2 repos
Research

autoresearch

Stateful validator-gated research loop with native-hook persistence

32.04k repo starsObserved in 2 repos
Research

autoresearch-goal

Durable professor-critic research workflow over Codex goal mode without reviving deprecated omx autoresearch

32.04k repo starsObserved in 1 repos
Research

deepsearch

Deepsearch deprecated shim

32.04k repo starsObserved in 1 repos
Research

statistical-analysis

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

30.97k repo starsObserved in 12 repos
Research