Agent skills for Ultralytics YOLO and Platform: model selection, dataset annotation, training, tuning, inference, export, and deployment through the web UI, Python package, and yolo CLI.
★not rated 16▲
+1 6d agoA
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AGPL-3.0
Autonomous delivery orchestrator for Claude Code — the build stage of the -it lifecycle (plan-it plans it, build-it builds it); formerly fable-it. Model-adaptive for Sonnet 5 and Opus 4.8. Invoke with a goal and a numbered Definition of Done; it runs the whole job to completion by conducting the bundled launch, iterat.
★not rated 14 1mo agoA
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originalMIT
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and knowledge compounding.
Embedding-based skill retrieval for Claude Code. On every user prompt, picks the top-K relevant skills from a 16,783-skill pool and injects them as context. v0.1.2: Switched the prebuilt index to a full-context build (encodes name + description + body up to 32k tokens) for better recall on body-only keywords.
One-shot setup for a new repo's standards: feat → dev → main promotion model with a PR CI gate, GitHub repo setup (branch protection, deploy environments, required reviewers, environment-scoped OIDC), and the language-agnostic quality stack (lefthook hooks + a shared justfile, run identically in CI). The /project-init.
Multi-agent trading analysis pipeline — technical, news, fundamentals, macro, adversarial bull/bear debate, and a final BUY/SELL/HOLD decision. Powered by yfinance, no external LLM API cost.
★not rated 14 4mo agoA
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originalMIT
Security-audits installed Claude Code skills and marketplace plugins for data capture, secret exfiltration, prompt injection, and malicious code. Always leads with a disclaimer that detection cannot be guaranteed complete.
Analyze technical sources and produce Agent-engineering-positioned X content packs with evidence review, model quality chain, reusable assets, and image assets.
Context-aware AI collaboration skills and implementation loop prompts for creating and validating user context, project AGENTS.md files, and skill artifacts across LLM providers.
★not rated 12 6d agoA
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originalMIT
Give your text-only coding agent (DeepSeek V4 Flash, Qwen, Kimi) vision. Adds an analyzeimage MCP tool that routes images through any multimodal model (mimo, Claude, Gemini, GPT-4o) and returns a detailed text description. Paste or drag in one or many images — analyzed in a single call, scoped to the current session.
★not rated 12 26d agoA
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originalMIT
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeoaudit.py f.
★not rated 12 1mo agoA
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originalMIT
Author Sigma data models, workbooks, reports, and custom plugins via the REST API. Bundles sigma-api, sigma-data-models, sigma-workbooks, sigma-reports, sigma-plugin-authoring, and custom-sql-to-data-model.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeoaudit.py f.
Cross-agent terminal memory: recall, search, and resume Claude Code, Codex, Gemini, opencode, and shell sessions by directory. No model calls, no network.
★not rated 11 1mo agoA
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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: