Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
Twelve Claude Code skills repositories ranked and reviewed by use case: marketing, design, web development, research, project management, and mega-collections.
Anthropic just shipped Claude Code Routines: saved automations that run on their cloud, triggered by schedules, API calls, or GitHub events. Here is what they actually do, how they compare to what existed before, and where they fit in a real automation stack.
Vaibhav Sisinty tests ChatGPT Work and Claude Cowork across projects, scheduled tasks, connectors, recorded skills, Slack, Sites, Artifacts, and local work. Here is the current, source-checked comparison.
Remy Gaskell's shared-skills system rebuilt as a governed supply chain for authoring, testing, packaging, updates, rollback, ownership, and safe telemetry.
Greg Isenberg's framework rebuilt as a practical guide to jobs, arrows, shared state, parallel research, checks, loops, and human approvals.
Sabrina Ramonov shares a four-step path for turning practical Claude skills into training income. Here is the responsible version: learn one workflow, teach an underserved role, publish proof, and start relevant conversations.
Andrew Warner and Ben Senescu demonstrate OpenSEO, an open-source workbench that gives Claude, Codex, and other agents real keyword, competitor, backlink, audit, and Search Console data.
Systems by Vic turns 9,330 passages from 2,039 MoreMozi videos into a cited business-diagnosis workflow for Claude Code and Codex.
Theo tested Claude Opus 5 against Fable 5 and GPT-5.6 Sol in a real T3 Code planning workflow. Here is the corrected benchmark story, cost reality, scope-control failure, and a practical routing policy.
Nate Herk tested Claude Opus 5 and Fable 5 across code, video, design, research, slides, computer use, and simulation. Here is the honest scorecard, including costs, run time, verification, and one revealing test mistake.
A practical AI weekly roundup covering GPT-5.6 limited access, Claude Tag in Slack, NVIDIA BioNeMo, Codex mobile, Gemini study notebooks, Notion agents, Figma Motion, open models, and what builders should test.
Andrew Warner and Corey Ganim covered a week of AI drops: Codex Record & Replay, Claude Tag in Slack, Zapier MCP, Bluerails, Claude Code artifacts, Revid, WorkClaw, second brains, OpenRouter MCP, and more. Here is what builders should actually test.
FutureTools tested nine free skills and plugins for Claude Code, Codex, Cursor, Hermes, OpenClaw, and other coding agents. Here is the practical JQ AI SYSTEMS guide to what to install first, what each skill does, and where to be careful.
Corey Haines shows how Claude Code and reusable marketing skills can build a site, plan SEO pages, draft nurture email, audit technical SEO, and connect measurement.
Matthew Berman reviews Claude Opus 5.5 with an Anthropic engineer. Learn why cost per task matters, which effort level to use, and when Fable 5.1 still fits.
Pat Simmons blind-tests Claude Opus 5.5, Fable 5.1, and GPT-6 Astra across four real builds. Compare visual quality, 3D work, gameplay, reported cost, and runtime.
Claude Opus 5.5 raises the capability ceiling while GPT-6 Sol and Luna cut the cost of routine agent work. Compare pricing, benchmarks, access, and the workloads each model fits.
Rob The AI Guy reviews Claude's Cowork merge, Small Business workflows, Docs, Slides, Projects, ChatGPT browser access, Astra for Law, plugins, and Word.
Theo traced T3 Code's idle GPU load to infinite status animations interacting with a fixed noise overlay. Here is why Fable and GPT-5.6 guessed wrong, what the final patch changed, and a better AI-assisted debugging workflow.
AI Search pushed Claude Opus 5 through browser software, 3D reconstruction, financial video, Blender, music, vision, medical images, and research. Here is what the tests actually prove, where the model failed, and when its cost is justified.
Zubair Trabzada shows Claude Opus 5 orchestrating research, scripts, editorial collage visuals, charts, voice, music, and rendering through Higgsfield MCP. Here is the source-checked workflow, an original production prompt, cost controls, and the human review gates it still needs.
Nick Saraev spent about $400 testing Claude Opus 5 across interactive simulations and benchmarks. Here is what the demos prove, what remains unverified, how effort changes cost, and where Alex Finn reaches a different verdict.
Theo argues that cheap AI code should generate debuggers, test harnesses, stress rigs, and disposable experiments around the code that matters. Here is the risk-based workflow that makes the idea safe and useful.
A practical JQ AI SYSTEMS roundup of this week's GitHub Trending repos: codebase-memory-mcp, Agent-Reach, OpenMontage, SkillSpector, agent-skills, TimesFM, Flue, Penpot, Plane, and more.
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