ZJU REAL lab with Peking University open-sourced Easel (github.com/ZJU-REAL/Easel, 2,384 stars): an open content workbench for social-media creators that hands the whole operations pipeline to an OpenClaw-powered agent. Five-layer workflow: **Discover** (aggregates Weibo/Douyin/Zhihu/Bilibili/Baidu/Toutiao trending plus industry news and competitor moves to pick topics that fit your account), **Plan** (positioning, audience profiles, topic matrices, titles/hooks, storyboards, content calendar), **Create** (copy, quote cards, Xiaohongshu knowledge cards, posters, infographics, AI image gen, multi-voice TTS, voice cloning, AI music, AI video and short dramas, subtitles, editing and clipping — every skill ships runnable scripts writing to outputs/), **Publish** (one master asset rewritten into the formats of 7 platforms — Xiaohongshu/Douyin/Kuaishou/Zhihu/Bilibili/Channels/WeChat official account — with pre-publish quality gates and copyright checks, real logged-in publishing), **Attribute** (reads back views and engagement, folding what worked into the account profile). Profile-driven rather than one-shot: each account keeps its own positioning, style and memory; one master asset is reused across platform variants.
NVIDIA combines camera-controlled video generation with feed-forward 3D reconstruction. Spatial memory retrieves relevant past views, while self-augmented training teaches the model to correct drift, turning one image into persistent, revisitable worlds that can be exported as 3D Gaussians or meshes for robot simulation.
MiniMax's open workflow library packages clean-context review, context budgeting, long-session handoffs, controlled harness experiments, and requirement lifecycle checks as installable coding-agent skills.
An Apache-2.0 harness for Codex and Claude Code that keeps requirements, verification evidence, and reusable engineering knowledge in the repository, with an optional evidence-driven platform for framework evaluation.
An agent-guided pipeline that reconstructs plans from images, screenshots, PDFs, and DXFs into a millimetre-based workspace, then audits walls, dimensions, openings, and furniture before producing an offline renovation designer.
Generalist AI models can control manipulators through persistent Python code without demonstrations or task-specific training. AMP1 reaches 85.6% zero-shot on RoboLab-120 and 104 of 108 real-world trials; persistent memory raises RoboDojo success from 26.4% to 84.1%.
Fully leveraging the loco-manipulation capabilities of a quadruped robot equipped with a robotic arm is non-trivial, as it requires controlling all degrees of freedom (DoFs) of the quadruped robot to achieve effective whole-body coordination. In this letter, we propose a novel framework RoboDuet, which employs two collaborative policies to realize locomotion and manipulation simultaneously, achieving whole-body control through mutual interactions. Beyond enabling large-range 6D pose tracking for manipulation, we find that the two-policy framework supports zero-shot transfer across quadruped robots with similar morphology and physical dimensions in the real world. Our experiments demonstrate that RoboDuet achieves a 23% improvement in success rate over the baseline in challenging loco-manipulation tasks employing whole-body control. To support further research, we provide open-source code and additional videos on our website: locomanip-duet.github.io.
Recently, the multi-modal fusion of RGB, depth, and semantics has shown great potential in dense Simultaneous Localization and Mapping (SLAM). However, a prerequisite for generating consistent semantic maps is the availability of dense, efficient, and scalable scene representations. Existing semantic SLAM systems based on explicit representations are often limited by resolution and an inability to predict unknown areas. Conversely, implicit representations typically rely on time-consuming ray tracing, failing to meet real-time requirements. Fortunately, 3D Gaussian Splatting (3DGS) has emerged as a promising representation that combines the efficiency of point-based methods with the continuity of geometric structures. To this end, we propose GS3LAM, a Gaussian Semantic Splatting SLAM framework that processes multimodal data to render consistent, dense semantic maps in real-time. GS3LAM models the scene as a Semantic Gaussian Field (SG-Field) and jointly optimizes camera poses and the field via multimodal error constraints. Furthermore, a Depth-adaptive Scale Regularization (DSR) scheme is introduced to resolve misalignments between scale-invariant Gaussians and geometric surfaces. To mitigate catastrophic forgetting, we propose a Random Sampling-based Keyframe Mapping (RSKM) strategy, which demonstrates superior performance over common local covisibility optimization methods. Extensive experiments on benchmark datasets show that GS3LAM achieves increased tracking robustness, superior rendering quality, and enhanced semantic precision compared to state-of-the-art methods. Source code is available at https://github.com/lif314/GS3LAM.
Zero-shot ObjectNav methods increasingly use vision-language priors, but direct object-object similarity in the latent space is often a weak proxy for spatial co-occurrence. We present an analytical, training-free semantic navigation pipeline that mediates object relationships through a compact room lexicon. Each object label is mapped to a CLIP-derived Room Probability Vector (RPV), and object-target co-occurrence is computed from RPV distribution overlap. These scores are projected onto a value map using geodesic flood-fill propagation (Fast Marching Method), with adaptive signal decay, and are used to rank frontiers by semantic score for navigation. Together, these components form an integrated, training-free, object-centric pipeline for open-vocabulary zero-shot navigation. Results show that our object-centric approach improves Success Rate (SR) and Success by weighted inverse Path Length (SPL) by a relative 3% and 1.3%, respectively, compared to image-holistic baselines on the HM3D dataset validation split, while preserving interpretability and open-vocabulary flexibility. Code is available at: uts-ri.github.io/RPV-SemNav.
Foundation models: pre- and post-training, architecture and long context, inference serving and cost per token.
Agent runtimes: plugins and sandboxes, tool surfaces, skill systems, long-term memory and self-improvement.
Code generation, repair, refactoring, software engineering tasks
Editor's takeSells parts, not a process: 38 SKILL.md behind a strict user/model-invoked contract, a SCOPE.md admission bar and a shared GLOSSARY.md; the spec-to-tickets-to-implement-spec pipeline is the most complete agentic engineering loop in this channel.
Daily-working set of the Total TypeScript author: 38 SKILL.md files (engineering 20, productivity 7, misc 4 frozen, in-progress 7) behind a user-invoked/model-invoked contract, a SCOPE.md admission bar and a shared GLOSSARY.md; installs as a Claude Code, Codex, Copilot or Gemini plugin, or an editable skills.sh copy.
claude plugin install mattpocock-skills@claude-plugins-officialEditor's takeIts premise is that models lack process discipline, not coding ability. The single best idea to steal is 'Rulings, not stalls': decide by default, and stop for a human only when an action is irreversible, touches a security-sensitive surface, leaks outside the worktree, or the plan is already too broken to continue.
v6.4.1 (2026-09-18), MIT, 289k stars — the largest single skill repository of its kind. It chains brainstorming, spec writing, git-worktree isolation, planning, subagent execution, red-green TDD, two-way code review and verification-before-completion into one trunk workflow, and the README lists 16+ harnesses: Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Kimi Code, Devin CLI and more.
/plugin install superpowers@claude-plugins-officialEditor's takeIf you want to know how a SKILL.md is actually supposed to be written, read this instead of any second-hand tutorial. Two things to know first: docx, pdf, pptx and xlsx are source-available rather than open source (the other 15 are Apache-2.0), and the repo carries its own disclaimer — these skills are demos, so test them in your environment before trusting them with anything critical.
Anthropic's own implementation, 177k stars: 19 skills under ./skills plus ./spec (the Agent Skills specification, now at agentskills.io) and ./template as a scaffold. Its definition of a skill is folders of instructions, scripts and resources loaded dynamically, and progressive disclosure comes straight from here.
/plugin marketplace add anthropics/skillsEditor's takeIts sharpest self-description is that models can write CSS but lack a taste database. Ten rule categories are ordered by severity, with Accessibility and Touch & Interaction first as CRITICAL and Charts last — that ordering is the stance. The Design System Generator runs five parallel searches, and the repo states plainly: do not persist unverified output, so a generated design system has to be checked before it lands in your repo.
v2.13.0, MIT, 129k stars, site uupm.cc. Instead of lecturing the model it ships structured catalogues the agent queries before writing code: 79 UI styles, 192 palettes with reasoning, 74 type pairings, 119 UX rules, 105 icon suggestions, 17 GSAP presets, 25 chart types, 22 stacks and 34 landing-page patterns.
npx ui-ux-pro-max-cli init --ai claudeEditor's takeThe design that matters most: every edge is labelled EXTRACTED or INFERRED, so you can tell what the source explicitly contains from what the tool inferred — which makes an agent's conclusions auditable, a hard requirement in production. It is not a vector index: no embeddings, no vector store, a real graph you can explain, path and query. In its own benchmark, building the graph costs zero LLM spend and ingest is an order of magnitude cheaper, a structural win from local parsing.
YC S26, Apache-2.0, 120k stars, Python 3.10+. /graphify . maps code, docs, PDFs, images and videos into a graph and emits a clickable graph.html, a human-readable GRAPH_REPORT.md and a machine-readable graph.json. Code goes through tree-sitter AST parsing (about 40 languages): deterministic, no LLM calls, nothing leaves the machine.
uv tool install graphifyy && graphify installEditor's takeThe lesson worth stealing is rules expressed as countable mechanical tests: eyebrow count ≤ ceil(sections/3), bento cells equal to content items, zero em-dashes on the page, palette families rotated across projects. Each one aims straight at the model repeating itself instead of stopping at an adjective. The repo is equally honest about its edges: v2 self-declares experimental and is still moving, §13 explicitly excludes dashboards, data tables, multi-step wizards, code editors and native mobile, and the only test in the repo guards the source-invocation semantics of the skill.sh shell helper rather than the design rules.
One MIT repo holding 13 skills: ten that output code and three that output reference images only, all installed into Claude Code / Codex / Cursor with a single npx skills add. The default design-taste-frontend v2 (experimental) is a 1,228-line SKILL.md: first the model must emit a one-line "design read", then it sets three dials (DESIGN_VARIANCE / MOTION_INTENSITY / VISUAL_DENSITY), then it implements against 14 chapters of hard rules - install the official package for corporate briefs, label aesthetic borrowings in comments, zero em-dashes anywhere on the page, eyebrow quota computed from section count, bento cells equal to content items, and finally a 50-plus box pre-flight check. The repo also ships research/laziness, a literature directory using controlled studies to explain why models cut output short.
npx skills add https://github.com/Leonxlnx/taste-skillSource · artificialanalysis.aiofficial Intelligence Index v5synced Nov 12, 2026
Text-to-image, image editing, consistency and controllability
Video and speech/audio: physical and temporal coherence for text/image-to-video, TTS and voice cloning, music generation and ASR.
3D asset generation, scene reconstruction, long-horizon world prediction
Visual design, UI components, web and slide layout
Slides, Word, Excel, PDF generation and editing
How Jev turns hidden agent decisions into typed questions, calibrated confidence gates Kimi K3 escalation, and a fraud demo exposes the cost and reproducibility boundary.
A complete guide to eval-driven development: define behavior and evals first, then use baselines, per-example comparison, and traces to improve agents without hidden regressions.
A technical guide to Preble's prefix-aware scheduling and DistServe's goodput-driven disaggregation, connecting cache placement, KV-transfer cost, fairness, and tail latency.
Fifty-four professional tools, layers and masks, PSD files that open and save back - all in the browser, nothing to install.
retouchpi.com · 54 pro tools · PSD read and write · AI generate & edit
Built for games and for physical AI: an ultra-realistic, ultra-high-performance simulation environment with ultra-low-cost procedural data; Unreal-grade visuals open and play in the browser, bridging the physical world and intelligent agents.
Games meet physical AI · Unreal-grade on the web · Open and play
A caring coding sprite on your desktop and a cockpit that never stops: the work resumes itself after a crash or a reboot. Every coding terminal, ssh session and local shell in one tree, every start, finish and permission request reported in time. Open source, one-line install.
Your caring coding desktop sprite · Resumes after crash & reboot · First-rate terminal / ssh / shell
A 100 km 3D city that opens in seconds — crawling, blogs, papers, industry and investment analysis, all watchable in one digital twin.
100km city · opens in seconds · Live task stream · Agent-maintained
An SO-101 6-DoF arm running MuJoCo physics in your browser: joint teleoperation, IK end-effector dragging and gripper pick-and-place into a basket. No install.
MuJoCo WASM physics · SO-101 · 6 DoF · Contacts / telemetry HUD
Take a humanoid joint module apart layer by layer: brushless motor, magnetic encoder, planetary / harmonic / cycloidal drive and output flange. Switch architectures on one page — exploded view plus analytic kinematics.
Three gearbox types · Planetary / harmonic / cycloidal · Analytic kinematics · explode
Under constructionThe games system is still under construction — everything listed starts in-page, and the library keeps growing.
A first-person match where every bot across from you is driven live by a policy this repo trained, the whole round stepping at a fixed 60 Hz: builtin, Rust/wasm or Rapier behind one physics interface, nothing scripted.
WASD move · mouse look · left-click fire · shift sprint · R reload · esc release
Unreal 5.5's first-person test map, running same-origin in the browser: the level, the materials, the lights and four weapon data assets are read out of the project's own .umap / .uasset bytes, six soldiers are driven by a four-state brain on one fixed 60 Hz step, and the sidebar lists every substitution the page had to make.
WASD move · mouse look · left-click fire · shift sprint · space jump · R reload · F pick up · esc release
The whole of CARLA Town10HD read out of its .umap and OpenDRIVE road bytes, 4,474 actors back on the project's own coordinates; 32 cars decide live over the same lane graph - car-following, braking, lane changes - and you sit in one of them, on the wheel or on autopilot.
W throttle · S brake · A D steer · space handbrake · T autopilot · C camera
The abandoned-factory town's bytes come from two places: 3,571 actors and a 509x509 landscape heightfield read out of the Unreal project's own mainmap.umap, 3,283 meshes resolved through an unlicensed content pack pinned by revision on its own mirror; six soldiers run live on a four-state patrol / engage / advance / down brain over one fixed 60 Hz step, standing at random walkable spots wave by wave and getting back up elsewhere once downed, with four guns on the ground each wave to swap for with F and a kill quota that opens the next one (?arena=0 gives the same town back without rounds); and the sidebar lists the 101 placements still missing their mesh instead of hiding the holes.
WASD move · mouse look · left-click fire · shift sprint · space jump · R reload · F pick up · esc release
A whole mirror-salt solar city generated at runtime: 4,570 built pieces, 3,197 hillside homes, 71 heliostats and a three-ring armillary surround one live sea; 11 salt skiffs query the same heightfield that is drawn every frame, and orbit or fly cameras let you cross the scene - this is not a pre-baked tour.
drag orbit · wheel zoom · WASD fly · E Q up/down · shift boost · mouse look
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