Gogh is a source-cited Obsidian operating brain that turns six frontend design skills into one advisable stack for AI coding agents.
Обзор
Source cited Obsidian operating brain that turns six frontend design skills into one advisable stack. Gogh is an evidence-gated Obsidian brain for AI coding agents that need better frontend design judgment than a single prompt can provide. It combines six curated skills into stack advice: which skill to use when, how to combine them, how to resolve conflicts, and how to keep a unified anti-slop rulebook tied to dated sources. market-ready pending the release gate. The structural audit passes at market-ready; the final release is cut by the operator procedure. Turn six frontend design skills into one source-cited operating brain for stacking taste prompting, micro-interaction execution, toolchain enforcement, retrieval, and audit work. Developers, indie hackers, design engineers, and agencies who build frontends with AI coding agents (Claude Code, Cursor, Codex, Windsurf) and want the output to look intentional and brand-fit rather than templated AI slop.
README
Gogh
Source cited Obsidian operating brain that turns six frontend design skills into one advisable stack.
Watch
Gogh is an evidence-gated Obsidian brain for AI coding agents that need better frontend design judgment than a single prompt can provide. It combines six curated skills into stack advice: which skill to use when, how to combine them, how to resolve conflicts, and how to keep a unified anti-slop rulebook tied to dated sources.
Current maturity: market-ready pending the release gate. The structural audit passes at market-ready; the final release is cut by the operator procedure.
Promise
Turn six frontend design skills into one source-cited operating brain for stacking taste prompting, micro-interaction execution, toolchain enforcement, retrieval, and audit work.
Buyer
Developers, indie hackers, design engineers, and agencies who build frontends with AI coding agents (Claude Code, Cursor, Codex, Windsurf) and want the output to look intentional and brand-fit rather than templated AI slop.
Six Skills
| Skill | Author | Mechanism | License |
|---|---|---|---|
taste-skill v2, design-taste-frontend |
Leon Lin | Taste prompting for macro aesthetic direction, three dials at 8/6/4, and Section 14 pre-flight | MIT |
| make-interfaces-feel-better | Jakub Krehel | Micro-interaction execution for press states, concentric radii, and motion values | MIT (README-declared) |
| Impeccable v3.9.1 | Paul Bakaus | Toolchain enforcement through commands, PRODUCT.md and DESIGN.md contracts, a deterministic 45-rule detector, and edit-time hooks | Apache-2.0 |
| Anthropic frontend-design | Anthropic | Taste prompting baseline with committed aesthetic direction | Apache-2.0 (per-skill LICENSE.txt) |
| ui-ux-pro-max v2.10.2 | nextlevelbuilder | Retrieval database for styles, palettes, font pairings, and UX rules | MIT |
| Vercel web-design-guidelines | Vercel Labs | Audit layer with runtime-fetched rules and file:line findings | MIT (ruleset repo; skill wrapper README-declared) |
Mechanism map: taste prompting from taste-skill and Anthropic frontend-design, micro-interaction execution from make-interfaces-feel-better, toolchain enforcement from Impeccable, retrieval from ui-ux-pro-max, and audit from Vercel web-design-guidelines.
Showcase
Six message-match variants of one landing page, each a distinct editorial
format instead of a generic template. Full source in
examples/aimh-pro-landing-variants/,
live at agricidaniel.github.io/gogh.
Outputs
assets/template-brain/, the distributable Obsidian template vaultSKILL.mdplus scripts, the agent-facing operating layer- Stack advisor reports that translate a project brief into recommended skills, order of use, dial settings, conflicts, and audit checks
- Cheat sheet, stack decision one-pager, unified pre-flight mega-checklist, and quickstart
- Registry diff reports for upstream captures when the adapter wave lands
Quick Start
python -m pip install -e .
gogh demo
gogh lint --vault examples/sample-vault
gogh report --vault examples/sample-vault --html-only
To create a client vault:
gogh new acme --client-name "Acme Co" --owner "Daniel Agrici" --out-dir ~/gogh-vaults
gogh ingest --vault ~/gogh-vaults/acme --file tests/fixtures/sample-source.md
gogh synthesize --vault ~/gogh-vaults/acme
gogh visuals --vault ~/gogh-vaults/acme
gogh report --vault ~/gogh-vaults/acme --html-only
gogh next --vault ~/gogh-vaults/acme
Boundaries
V1 is advisory and read-only. It does not mutate accounts, systems, books, pipelines, publishing tools, customer records, or live production data.
Gogh records conflicts between skills instead of hiding them. Impeccable detector results remain upstream Impeccable results, not Gogh-owned findings. License, version, star, and rule claims are treated as current only when backed by the source ledger.
Maturity Gates
- Scaffolded: product shell, vault, source pack, scripts, tests, and demo exist.
- Researched: dated trustworthy sources replace placeholder research.
- Domain-adapted: real domain importer, synthesis, reports, fixtures, and tests exist.
- Demo-verified: sample vault regenerates deterministically and reports cite sources.
- Market-ready: audit score is at least 90 with no critical failures.
Scores are capped by maturity. A scaffold cannot become market-ready by edited markdown alone.
Research Policy
Use official, primary, or vendor documentation first. Use market or practitioner
sources only as supporting evidence. Do not treat blog roundups or AI summaries
as primary truth. Record evidence in references/source-ledger.json; prose-only
research notes do not satisfy the gate.
Release
python scripts/package_release.py --version 1.0.0 --release-type market-ready
Release packaging scans for secrets, local paths, symlinks, untracked drift,
and unsafe ZIP entries before writing dist/RELEASE_MANIFEST.json and
dist/SHA256SUMS. Market-ready packaging also runs scripts/audit_brain.py.
Community
- 💬 AI Marketing Hub: free community for AI-powered marketing
- ⚡ AI Marketing Hub Pro: early access to in-development features and direct collaboration
- 🎬 YouTube: tutorials and demos
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Установка
npx skillfish add agricidaniel/gogh