A source-based review of GStack, Garry Tan's workflow system for Claude Code, browser QA, security review, and AI-assisted shipping discipline.
Guides & playbooks
Deep dives that power SEO growth and help you make informed decisions about AI tools.
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Move from guidance to execution: open a task path, compare options, and verify tool detail pages before outbound clicks.
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Claude Code & Agent Skills
Practical guides for Claude Code workflows, skill evaluation, and agent setup — written by Bruce Yang with sources and operating context.
Agent Skills Source Reviews
Source-based essays on Agent Skills repositories, workflow systems, and governance patterns.
Published Guides
A practical review of Obra's Superpowers, a cross-agent skill system for brainstorming, worktrees, TDD, code review, and verified completion gates.
A source-based review of Every's Compound Engineering plugin: strategy, planning, review, debugging, durable artifacts, and learning loops for AI coding teams.
A practical review of Prodcraft, a lifecycle-aware skills system with intake routing, artifact contracts, validators, evidence records, and public export gates.
A side-by-side interpretation of GStack, Superpowers, Compound Engineering, and Prodcraft for teams designing reliable, governed agent workflows in production.
A review of skills-refiner, a four-skill toolkit for auditing, interpreting, scanning, debugging, and governing installed Agent Skills systems over time.
A practical, vendor-neutral guide to selecting AI writing tools for real workflows.
Choose AI image tools by workflow fit, licensing clarity, and consistent output.
Choose AI image generation tools by workflow, prompt and reference control, consistency, revision effort, rights, and delivery fit using one test brief.
A framework to evaluate AI SEO tools by workflow impact and content quality.
Compare AI video tools by workflow reliability, editing depth, and export quality.
Choose AI video editing tools by source footage, editing control, review workflow, and export fit. Test each shortlist on the same real project.
Choose AI video generation tools by input workflow, shot control, continuity, revision effort, rights, and export fit using one repeatable test brief.
Choose AI resume writing tools by job fit, evidence fidelity, tailoring control, review effort, and export workflow. Test every draft against a real role.
Choose AI blog writing tools by research fit, brief fidelity, source handling, revision control, and publishing workflow. Test with real article briefs.
Evaluate AI coding tools by code quality, review workflow, and security fit.
Choose AI meeting notes tools by transcript accuracy, action tracking, and integrations.
Benchmark transcription tools for speed, language coverage, and editing workflow.
Assess chatbot tools by containment rate, handoff quality, and deployment control.
Select translation tools by quality consistency, terminology control, and review workflow.
Evaluate AI agent tools by autonomy boundaries, workflow reliability, and human oversight.
Compare AI presentation tools by narrative control, brand consistency, and edit speed.
Compare 10 PPT skills for AI slide decks: outline, generate, convert docs, control brand, make charts, write speaker notes, and catch review risks.
Choose AI social media tools by channel fit, approval workflow, and output consistency.
Choose AI social media writing tools by channel fit, brief fidelity, brand control, and revision speed across posts, captions, ads, and threads.
Choose AI email writing tools by job fit, personalization quality, revision speed, and integrations. Treat deliverability claims as unverified until you test.
Choose AI copywriting tools by workflow fit, brief fidelity, revision speed, and channel constraints. Treat conversion-rate claims as unverified until you test.
Choose AI ad copy writing tools by brief fidelity, platform limits, claim safety, and revision speed. Treat conversion-rate claims as unverified until tested.
Choose AI text-to-speech tools by job fit, voice quality on your scripts, licensing, and export workflow. Treat ranked-best awards as unverified until you test.
Evaluate research tools by source quality, synthesis depth, and citation reliability.
Choose productivity tools by workflow overlap, adoption friction, and measurable output gains.
A practical checklist for assessing any Claude Code skill package: safety, maintenance, install clarity, and fit.
Everything you need to know to configure CLAUDE.md, from project memory to team conventions.
When and how to use Claude Code subagents to split work across parallel AI instances.
A source-checked AI release brief covering Sonnet 5.5, GPT-6.1 Sol, Codex Cloud, Gemini 4 Argon, Holo4, and practical decisions for developers now.
Compare GPT-6.1 Sol and Claude Sonnet 5.5 with a reproducible coding pilot that measures accepted changes, review time, failures, and actual task cost.
Plan a Holo4 computer-use pilot with clear task boundaries, license checks, repeatable evaluation, and evidence of completed work before wider rollout.
Validate MCP agent answers claim by claim with stable source IDs, attribution checks, conflicting-evidence tests, and review gates for unsupported output.
Publishing Soon
Understand Gemini 4 Argon access restrictions and its output limit, then prepare a long-task pilot with checkpoints, source evidence, costs, and review.
Publishing soon.
Understand Olmo-core 3, open training code, and open model weights. Choose a useful level of openness for inference, adaptation, or training research.
Publishing soon.