arjun988/blender-skills

This page introduces an external open-source repository. It is not an HDATF product.

What it does

Blender Skills is a collection of task instructions and references for coding agents that work with Blender, rather than a standalone 3D generation model. It addresses the need to carry an artist's request through modeling, materials, lighting, optimization, and export without treating each step as an unrelated question. Inputs include a text brief, a reference image, the target engine, and polygon and texture budgets. The blender-director instruction selects specialist skills and defines a production brief before scene operations begin. Execution relies on the separate BlenderMCP addon and MCP server, with MCP meaning the interface through which an agent calls external tools. The intended outputs are Blender scene changes, rendered checks, exported assets, and a validation report, while reference matching uses camera alignment and repeated screenshot comparison. The setup guide lists Blender 3.0 or later, Python 3.10 or later, uv, a running addon connection, and a compatible agent client as prerequisites, and the checked configuration connects to localhost port 9876. Quality depends on the agent and connected tools rather than the instruction files alone, and arbitrary Python execution in Blender requires backups and restricted permissions.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

More in this category

• tradermonty/claude-trading-skills
  Claude Trading Skills organizes investment research and trading review for individual investors who have limited time. It addresses fragmented market checks, risk review, trade planning and journaling rather than delegating investment decisions to AI. Users supply public market CSV files, chart images, local records or data from integrations such as FMP and Alpaca. Skill instructions and Python helpers turn these inputs into market reports, position sizing calculations and structured investment records. YAML workflow manifests specify the skill order, required artifacts and decision gates. The trader-memory-core skill keeps thesis histories in local YAML files and produces postmortem reports. A starting workflow reviews market breadth and uptrend participation before a human reviews the resulting exposure posture, with no paid data API required for the basic path. It runs through Claude Skills or Claude Code, has workflow-specific Python and integration requirements, and is neither an automated order platform nor a guarantee of profitability.
• dotnet/skills
  .NET Agent Skills is the .NET team's collection of coding-agent guidance and host-specific agents. It packages knowledge for C# development, data access, diagnostics, builds and testing as plugins rather than providing a standalone application or model. An agent reads relevant skills in the context of code, errors and development requests to choose a workflow. Actual changes are performed by the host agent and development tools, not automatically by the repository itself. Official onboarding distinguishes marketplace or individual-skill registration and reloading in compatible hosts. The inspected SDK setup skill describes project-local installation, preserving existing settings and its required host version. Skills and MCP compatibility vary by component; Copilot agent files do not become another host's native agents. Language-server integration also requires host support. A suitable .NET SDK and task-specific tools remain necessary, and installing the collection does not activate every plugin capability.
• janestreet/agent_skills
  Jane Street's agent_skills is a collection of text instructions for existing AI agents and chatbots, not a standalone tutoring application or model. The README currently lists a Socratic tutor skill intended for users who explicitly request teaching, quizzes or practice toward mastery. Given a topic and the learner's answers, it maintains a subskill map with levels from zero to five and uses that map to choose further questions. Its instructions begin with a short diagnostic, then ask one question at a time and narrow the question when an answer reveals a misunderstanding. Progress requires demonstrated performance on more than one independent check, including recall rather than simply repeating a supplied answer. Earlier material is revisited through spaced review, and completion includes a mixed assessment with both individual subskill questions and an integrative problem. One-off explanation requests are explicitly outside the tutoring loop, and the learner can override questioning to request a direct answer. A compatible agent can read the SKILL.md directory, or a chatbot can receive its text as a prompt, so the existing model and its instruction following remain prerequisites. Session transfer is described as a compact state block that a person can save and paste elsewhere, not an implemented storage backend or independently validated measure of learning.
• GoogleChrome/modern-web-guidance
  Modern Web Guidance supplies coding agents with maintained web platform guidance instead of relying only on older patterns in model training data. Its input is a focused description of a browser capability or interface task, and its output is a selection of guides containing implementation patterns, pitfalls, accessibility considerations and browser fallbacks. The documented search mechanism combines local semantic matching with BM25 keyword search, after which the agent retrieves relevant guides into its context. The distribution includes skill instructions and guides, while its linked source repository contains the authoring and evaluation implementation. Use requires an existing compatible coding agent and a JavaScript package execution environment, not a separately hosted inference service from this project. Experimental Origin Trial APIs and recently shipped unstable features have explicit retrieval opt-ins, and browser support still needs to match the application's own policy. Local guide search does not mean zero outbound activity: the README separately discloses usage telemetry including agent-generated search queries and an opt-out. The project publishes guided versus unguided agent evaluations, but these are project-reported results rather than proof of improvement on every application. Software and guide content have different license terms, so reusing the documentation requires checking its attribution requirements.
• GoogleChrome/modern-web-guidance-src
  Modern Web Guidance Source is the authoring and evaluation repository behind web development skills for coding agents, rather than just the installable guide collection. It addresses agents choosing outdated JavaScript patterns or missing browser compatibility and accessibility requirements. An English task query produces matching guide identifiers, and retrieval supplies focused implementation patterns, caveats and fallbacks. The distributed search combines local semantic matching with BM25, a keyword relevance method, while retrieval controls access to experimental and recently changing features. This source repository adds guide authoring materials, example applications, build tooling and an evaluation harness that checks guided and unguided agent changes with browser assertions. The dialog example distinguishes blocking confirmations from nonmodal panels and explains native focus handling and conditional fallbacks. Source development requires Node.js 22.18 or later and pnpm, while evaluation additionally needs the chosen agent's environment and authorization. Published evaluation gains are maintainer results on their tasks, not a guarantee for other applications, and local search does not mean telemetry is absent because the CLI records generated search queries and guide usage unless disabled.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.