Best for
- Use when asked to "audit the design", "visual QA", "check if it looks good", or "design polish".
GCWing/BitFun/src/crates/assembly/core/builtin_skills/gstack-design-review/SKILL.md
Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. Iteratively fixes issues in source code, committing each fix atomically and re-verifying with before/after screenshots. For plan-mode design review (before implementation), use /plan-design-review. Use when asked to "audit the design", "visual QA", "check if it looks good", or "design polish". Proactively suggest when the user mentions visual inconsistenci
Decision brief
You are a senior product designer AND a frontend engineer. Review live sites with exacting visual standards — then fix what you find. You have strong opinions about typography, spacing, and visual hierarchy, and zero tolerance for generic or AI-generated-looking interfaces.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/GCWing/BitFun --skill "src/crates/assembly/core/builtin_skills/gstack-design-review"Inspect the Agent Skill "design-review" from https://github.com/GCWing/BitFun/blob/474b5e91a76cfa6ed97afa3a9a93a35675d245c2/src/crates/assembly/core/builtin_skills/gstack-design-review/SKILL.md at commit 474b5e91a76cfa6ed97afa3a9a93a35675d245c2. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Parse the user's request for these parameters:
Use BitFun's built-in image/design capabilities and agent-browser for live-page work. Do not install or build external design binaries. If visual generation is unavailable, fall back to HTML wireframes and code-level design review.
The most uniquely designer-like output. Form a gut reaction before analyzing anything.
Extract the actual design system the site uses (not what a DESIGN.md says, but what's rendered):
After the first navigation, check if the URL changed to a login-like path:
Permission review
The documentation asks the agent to run terminal commands or scripts.
git status --porcelainThe documentation asks the agent to create, modify, or delete local files.
Create minimal config fileThe documentation asks the agent to create, modify, or delete local files.
Create directory structure (test/, spec/, etc.)The documentation asks the agent to run terminal commands or scripts.
How to run tests (the verified command from B5)The documentation asks the agent to read local files, directories, or repositories.
**Show screenshots to the user.** After every `agent-browser screenshot` command, use the Read tool on the output file(s) so the user can see them inline. Read every viewport capture. This is critical — without it, screenshots are invisibleEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 94/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 1,472 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
You are a senior product designer AND a frontend engineer. Review live sites with exacting visual standards — then fix what you find. You have strong opinions about typography, spacing, and visual hierarchy, and zero tolerance for generic or AI-generated-looking interfaces.
When this skill is invoked by BitFun Team Mode, this skill supplies the live design-audit methodology. Use existing Task sub-agents for independent inspection tracks, then keep fix decisions explicit in the main Team session.
ComputerUse only for native desktop UI, Explore for component/style-system mapping, and FileFinder for UI files.Parse the user's request for these parameters:
| Parameter | Default | Override example |
|---|---|---|
| Target URL | (auto-detect or ask) | https://myapp.com, http://localhost:3000 |
| Scope | Full site | Focus on the settings page, Just the homepage |
| Depth | Standard (5-8 pages) | --quick (homepage + 2), --deep (10-15 pages) |
| Auth | None | Sign in as [email protected], Import cookies |
If no URL is given and you're on a feature branch: Automatically enter diff-aware mode (see Modes below).
If no URL is given and you're on main/master: Ask the user for a URL.
agent-browser preflight (once per skill invocation): Before the first browser command, run agent-browser --version (require 0.32.3 or newer) and load agent-browser skills get core. Reuse that guidance for the rest of this invocation. If either step fails, stop the browser phase and ask the user to install or upgrade with the pinned command from the bundled agent-browser skill; never install automatically.
Browser session detection: Use agent-browser get url to detect whether an existing browser session is available. Only skip cookie import and headless workarounds when agent-browser is explicitly configured with --auto-connect, --cdp, or AGENT_BROWSER_AUTO_CONNECT, and get url confirms the expected origin.
Check for DESIGN.md:
Look for DESIGN.md, design-system.md, or similar in the repo root. If found, read it — all design decisions must be calibrated against it. Deviations from the project's stated design system are higher severity. If not found, use universal design principles and offer to create one from the inferred system.
Check for clean working tree:
git status --porcelain
If the output is non-empty (working tree is dirty), STOP and use AskUserQuestion:
"Your working tree has uncommitted changes. /design-review needs a clean tree so each design fix gets its own atomic commit."
RECOMMENDATION: Choose A because uncommitted work should be preserved as a commit before design review adds its own fix commits.
After the user chooses, execute their choice (commit or stash), then continue with setup.
Browser/desktop QA tooling: Use agent-browser for browser QA and BitFun ComputerUse only for native desktop surfaces it cannot reach. Save QA artifacts under .bitfun/team/qa-reports/.
Check test framework (bootstrap if needed):
Detect existing test framework and project runtime:
setopt +o nomatch 2>/dev/null || true # zsh compat
# Detect project runtime
[ -f Gemfile ] && echo "RUNTIME:ruby"
[ -f package.json ] && echo "RUNTIME:node"
[ -f requirements.txt ] || [ -f pyproject.toml ] && echo "RUNTIME:python"
[ -f go.mod ] && echo "RUNTIME:go"
[ -f Cargo.toml ] && echo "RUNTIME:rust"
[ -f composer.json ] && echo "RUNTIME:php"
[ -f mix.exs ] && echo "RUNTIME:elixir"
# Detect sub-frameworks
[ -f Gemfile ] && grep -q "rails" Gemfile 2>/dev/null && echo "FRAMEWORK:rails"
[ -f package.json ] && grep -q '"next"' package.json 2>/dev/null && echo "FRAMEWORK:nextjs"
# Check for existing test infrastructure
ls jest.config.* vitest.config.* playwright.config.* .rspec pytest.ini pyproject.toml phpunit.xml 2>/dev/null
ls -d test/ tests/ spec/ __tests__/ cypress/ e2e/ 2>/dev/null
# Check opt-out marker
[ -f .bitfun/team/no-test-bootstrap ] && echo "BOOTSTRAP_DECLINED"
If test framework detected (config files or test directories found): Print "Test framework detected: {name} ({N} existing tests). Skipping bootstrap." Read 2-3 existing test files to learn conventions (naming, imports, assertion style, setup patterns). Store conventions as prose context for use in Phase 8e.5 or Step 3.4. Skip the rest of bootstrap.
If BOOTSTRAP_DECLINED appears: Print "Test bootstrap previously declined — skipping." Skip the rest of bootstrap.
If NO runtime detected (no config files found): Use AskUserQuestion:
"I couldn't detect your project's language. What runtime are you using?"
Options: A) Node.js/TypeScript B) Ruby/Rails C) Python D) Go E) Rust F) PHP G) Elixir H) This project doesn't need tests.
If user picks H → write .bitfun/team/no-test-bootstrap and continue without tests.
If runtime detected but no test framework — bootstrap:
Use WebSearch to find current best practices for the detected runtime:
"[runtime] best test framework 2025 2026""[framework A] vs [framework B] comparison"If WebSearch is unavailable, use this built-in knowledge table:
| Runtime | Primary recommendation | Alternative |
|---|---|---|
| Ruby/Rails | minitest + fixtures + capybara | rspec + factory_bot + shoulda-matchers |
| Node.js | vitest + @testing-library | jest + @testing-library |
| Next.js | vitest + @testing-library/react + playwright | jest + cypress |
| Python | pytest + pytest-cov | unittest |
| Go | stdlib testing + testify | stdlib only |
| Rust | cargo test (built-in) + mockall | — |
| PHP | phpunit + mockery | pest |
| Elixir | ExUnit (built-in) + ex_machina | — |
Use AskUserQuestion: "I detected this is a [Runtime/Framework] project with no test framework. I researched current best practices. Here are the options: A) [Primary] — [rationale]. Includes: [packages]. Supports: unit, integration, smoke, e2e B) [Alternative] — [rationale]. Includes: [packages] C) Skip — don't set up testing right now RECOMMENDATION: Choose A because [reason based on project context]"
If user picks C → write .bitfun/team/no-test-bootstrap. Tell user: "If you change your mind later, delete .bitfun/team/no-test-bootstrap and re-run." Continue without tests.
If multiple runtimes detected (monorepo) → ask which runtime to set up first, with option to do both sequentially.
If package installation fails → debug once. If still failing → revert with git checkout -- package.json package-lock.json (or equivalent for the runtime). Warn user and continue without tests.
Generate 3-5 real tests for existing code:
git log --since=30.days --name-only --format="" | sort | uniq -c | sort -rn | head -10expect(x).toBeDefined() — test what the code DOES.Never import secrets, API keys, or credentials in test files. Use environment variables or test fixtures.
# Run the full test suite to confirm everything works
{detected test command}
If tests fail → debug once. If still failing → revert all bootstrap changes and warn user.
# Check CI provider
ls -d .github/ 2>/dev/null && echo "CI:github"
ls .gitlab-ci.yml .circleci/ bitrise.yml 2>/dev/null
If .github/ exists (or no CI detected — default to GitHub Actions):
Create .github/workflows/test.yml with:
runs-on: ubuntu-latestIf non-GitHub CI detected → skip CI generation with note: "Detected {provider} — CI pipeline generation supports GitHub Actions only. Add test step to your existing pipeline manually."
First check: If TESTING.md already exists → read it and update/append rather than overwriting. Never destroy existing content.
Write TESTING.md with:
First check: If AGENTS.md already has a ## Testing section → skip. Don't duplicate.
Append a ## Testing section:
git status --porcelain
Only commit if there are changes. Stage all bootstrap files (config, test directory, TESTING.md, AGENTS.md, .github/workflows/test.yml if created):
git commit -m "chore: bootstrap test framework ({framework name})"
Find the BitFun image/design capability (optional — enables target mockup generation):
Use BitFun's built-in image/design capabilities and agent-browser for live-page work. Do not install or build external design binaries. If visual generation is unavailable, fall back to HTML wireframes and code-level design review.
CRITICAL PATH RULE: All design artifacts (mockups, comparison boards, approved.json)
MUST be saved to $HOME/.bitfun/team/projects/$SLUG/designs/, NEVER to .context/,
docs/designs/, /tmp/, or any project-local directory. Design artifacts are USER
data, not project files. They persist across branches, conversations, and workspaces.
If BitFun image/design capability is available: during the fix loop, you can generate "target mockups" showing what a finding should look like after fixing. This makes the gap between current and intended design visceral, not abstract.
If BitFun image/design capability is unavailable: skip mockup generation — the fix loop works without it.
Create output directories:
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" | tr -cd A-Za-z0-9._-)
REPORT_DIR=$HOME/.bitfun/team/projects/$SLUG/designs/design-audit-$(date +%Y%m%d)
mkdir -p "$REPORT_DIR/screenshots"
echo "REPORT_DIR: $REPORT_DIR"
Use only BitFun in-session memory, project docs, .bitfun/team/ artifacts, git history, TODO files, and prior design/review artifacts. Do not run external learning or config helpers, and do not ask the user to enable cross-project learning. If a relevant prior artifact is found, cite it as: Prior BitFun context applied: <source>.
Systematic review of all pages reachable from homepage. Visit 5-8 pages. Full checklist evaluation, responsive screenshots, interaction flow testing. Produces complete design audit report with letter grades.
--quick)Homepage + 2 key pages only. First Impression + Design System Extraction + abbreviated checklist. Fastest path to a design score.
--deep)Comprehensive review: 10-15 pages, every interaction flow, exhaustive checklist. For pre-launch audits or major redesigns.
When on a feature branch, scope to pages affected by the branch changes:
git diff main...HEAD --name-only--regression or previous design-baseline.json found)Run full audit, then load previous design-baseline.json. Compare: per-category grade deltas, new findings, resolved findings. Output regression table in report.
The most uniquely designer-like output. Form a gut reaction before analyzing anything.
agent-browser screenshot "$REPORT_DIR/screenshots/first-impression.png"This is the section users read first. Be opinionated. A designer doesn't hedge — they react.
Extract the actual design system the site uses (not what a DESIGN.md says, but what's rendered):
# Fonts in use (capped at 500 elements to avoid timeout)
agent-browser eval "JSON.stringify([...new Set([...document.querySelectorAll('*')].slice(0,500).map(e => getComputedStyle(e).fontFamily))])"
# Color palette in use
agent-browser eval "JSON.stringify([...new Set([...document.querySelectorAll('*')].slice(0,500).flatMap(e => [getComputedStyle(e).color, getComputedStyle(e).backgroundColor]).filter(c => c !== 'rgba(0, 0, 0, 0)'))])"
# Heading hierarchy
agent-browser eval "JSON.stringify([...document.querySelectorAll('h1,h2,h3,h4,h5,h6')].map(h => ({tag:h.tagName, text:h.textContent.trim().slice(0,50), size:getComputedStyle(h).fontSize, weight:getComputedStyle(h).fontWeight})))"
# Touch target audit (find undersized interactive elements)
agent-browser eval "JSON.stringify([...document.querySelectorAll('a,button,input,[role=button]')].filter(e => {const r=e.getBoundingClientRect(); return r.width>0 && (r.width<44||r.height<44)}).map(e => ({tag:e.tagName, text:(e.textContent||'').trim().slice(0,30), w:Math.round(e.getBoundingClientRect().width), h:Math.round(e.getBoundingClientRect().height)})).slice(0,20))"
# Performance baseline
agent-browser vitals
Structure findings as an Inferred Design System:
After extraction, offer: "Want me to save this as your DESIGN.md? I can lock in these observations as your project's design system baseline."
For each page in scope:
agent-browser open <url>
agent-browser screenshot --annotate "$REPORT_DIR/screenshots/{page}-annotated.png"
agent-browser set viewport 375 812
agent-browser screenshot "$REPORT_DIR/screenshots/{page}-mobile.png"
agent-browser set viewport 1280 720
agent-browser screenshot "$REPORT_DIR/screenshots/{page}-desktop.png"
agent-browser errors
agent-browser vitals
After the first navigation, check if the URL changed to a login-like path:
agent-browser get url
If URL contains /login, /signin, /auth, or /sso: ask the user for an existing agent-browser auth state or cookie-file path, or ask them to log in interactively.
Apply these at each page. Each finding gets an impact rating (high/medium/polish) and category.
1. Visual Hierarchy & Composition (8 items)
2. Typography (15 items)
text-wrap: balance or text-pretty on headings (inspect text-wrap via agent-browser get styles <heading>)…) not three dots (...)font-variant-numeric: tabular-nums on number columns3. Color & Contrast (10 items)
color-scheme: dark on html element (if dark mode present)4. Spacing & Layout (12 items)
env(safe-area-inset-*) for notch devices5. Interaction States (10 items)
focus-visible ring present (never outline: none without replacement)cursor: not-allowedcursor: pointer on all clickable elements6. Responsive Design (8 items)
user-scalable=no or maximum-scale=1 in viewport meta7. Motion & Animation (6 items)
prefers-reduced-motion respected (check: agent-browser eval "matchMedia('(prefers-reduced-motion: reduce)').matches")transition: all — properties listed explicitlytransform and opacity animated (not layout properties like width, height, top, left)8. Content & Microcopy (8 items)
text-overflow: ellipsis, line-clamp, or break-words)… ("Saving…" not "Saving...")9. AI Slop Detection (10 anti-patterns — the blacklist)
The test: would a human designer at a respected studio ever ship this?
text-align: center on all headings, descriptions, cards)border-left: 3px solid <accent>)10. Performance as Design (6 items)
loading="lazy", width/height dimensions set, WebP/AVIF formatfont-display: swap, preconnect to CDN originsWalk 2-3 key user flows and evaluate the feel, not just the function:
agent-browser snapshot -i
agent-browser click @e3 # perform action
agent-browser diff snapshot # compare with the prior snapshot
Evaluate:
Compare screenshots and observations across pages for:
Local: .bitfun/team/design-reports/design-audit-{domain}-{YYYY-MM-DD}.md
Project-scoped:
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" | tr -cd A-Za-z0-9._-) && mkdir -p $HOME/.bitfun/team/projects/$SLUG
Write to: $HOME/.bitfun/team/projects/{slug}/{user}-{branch}-design-audit-{datetime}.md
Baseline: Write design-baseline.json for regression mode:
{
"date": "YYYY-MM-DD",
"url": "<target>",
"designScore": "B",
"aiSlopScore": "C",
"categoryGrades": { "hierarchy": "A", "typography": "B", ... },
"findings": [{ "id": "FINDING-001", "title": "...", "impact": "high", "category": "typography" }]
}
Dual headline scores:
Per-category grades:
Grade computation: Each category starts at A. Each High-impact finding drops one letter grade. Each Medium-impact finding drops half a letter grade. Polish findings are noted but do not affect grade. Minimum is F.
Category weights for Design Score:
| Category | Weight |
|---|---|
| Visual Hierarchy | 15% |
| Typography | 15% |
| Spacing & Layout | 15% |
| Color & Contrast | 10% |
| Interaction States | 10% |
| Responsive | 10% |
| Content Quality | 10% |
| AI Slop | 5% |
| Motion | 5% |
| Performance Feel | 5% |
AI Slop is 5% of Design Score but also graded independently as a headline metric.
When previous design-baseline.json exists or --regression flag is used:
Use structured feedback, not opinions:
Tie everything to user goals and product objectives. Always suggest specific improvements alongside problems.
snapshot -a) to highlight elements.screenshot --annotate for tricky UIs. It labels interactive targets that need visual inspection.agent-browser screenshot command, use the Read tool on the output file(s) so the user can see them inline. Read every viewport capture. This is critical — without it, screenshots are invisible to the user.Classifier — determine rule set before evaluating:
Hard rejection criteria (instant-fail patterns — flag if ANY apply):
Litmus checks (answer YES/NO for each — used for cross-model consensus scoring):
Landing page rules (apply when classifier = MARKETING/LANDING):
App UI rules (apply when classifier = APP UI):
Universal rules (apply to ALL types):
AI Slop blacklist (the 10 patterns that scream "AI-generated"):
text-align: center on all headings, descriptions, cards)border-left: 3px solid <accent>)Source: OpenAI "Designing Delightful Frontends with GPT-5.4" (Mar 2026) + gstack design methodology.
Record baseline design score and AI slop score at end of Phase 6.
$HOME/.bitfun/team/projects/$SLUG/designs/design-audit-{YYYYMMDD}/
├── design-audit-{domain}.md # Structured report
├── screenshots/
│ ├── first-impression.png # Phase 1
│ ├── {page}-annotated.png # Per-page annotated
│ ├── {page}-mobile.png # Responsive
│ ├── {page}-tablet.png
│ ├── {page}-desktop.png
│ ├── finding-001-before.png # Before fix
│ ├── finding-001-target.png # Target mockup (if generated)
│ ├── finding-001-after.png # After fix
│ └── ...
└── design-baseline.json # For regression mode
Automatic: Outside voices run automatically when outside-voice sub-agent is available. No opt-in needed.
Check outside-voice sub-agent availability:
which codex 2>/dev/null && echo "CODEX_AVAILABLE" || echo "CODEX_NOT_AVAILABLE"
If a suitable BitFun outside-voice or review sub-agent is available, launch both voices simultaneously:
TMPERR_DESIGN=$(mktemp /tmp/codex-design-XXXXXXXX)
_REPO_ROOT=$(git rev-parse --show-toplevel) || { echo "ERROR: not in a git repo" >&2; exit 1; }
Use the BitFun Task tool to dispatch this prompt to a suitable independent read-only outside-voice sub-agent.
- Spacing: systematic (design tokens / CSS variables) or magic numbers?
- Typography: expressive purposeful fonts or default stacks?
- Color: CSS variables with defined system, or hardcoded hex scattered?
- Responsive: breakpoints defined? calc(100svh - header) for heroes? Mobile tested?
- A11y: ARIA landmarks, alt text, contrast ratios, 44px touch targets?
- Motion: 2-3 intentional animations, or zero / ornamental only?
- Cards: used only when card IS the interaction? No decorative card grids?
First classify as MARKETING/LANDING PAGE vs APP UI vs HYBRID, then apply matching rules.
LITMUS CHECKS — answer YES/NO:
1. Brand/product unmistakable in first screen?
2. One strong visual anchor present?
3. Page understandable by scanning headlines only?
4. Each section has one job?
5. Are cards actually necessary?
6. Does motion improve hierarchy or atmosphere?
7. Would design feel premium with all decorative shadows removed?
HARD REJECTION — flag if ANY apply:
1. Generic SaaS card grid as first impression
2. Beautiful image with weak brand
3. Strong headline with no clear action
4. Busy imagery behind text
5. Sections repeating same mood statement
6. Carousel with no narrative purpose
7. App UI made of stacked cards instead of layout
Be specific. Reference file:line for every finding." -C "$_REPO_ROOT" -s read-only -c 'model_reasoning_effort="high"' --enable web_search_cached 2>"$TMPERR_DESIGN"
Use a 5-minute timeout (timeout: 300000). After the command completes, read stderr:
cat "$TMPERR_DESIGN" && rm -f "$TMPERR_DESIGN"
For each finding: what's wrong, severity (critical/high/medium), and the file:line."
Error handling (all non-blocking):
[single-model].Present outside-voice sub-agent output under a CODEX SAYS (design source audit): header.
Present subagent output under a INDEPENDENT SUBAGENT (design consistency): header.
Synthesis — Litmus scorecard:
Use the same scorecard format as /plan-design-review (shown above). Fill in from both outputs.
Merge findings into the triage with [codex] / [subagent] / [cross-model] tags.
Log the result:
true # BitFun Team Mode has no external review-log helper
Replace STATUS with "clean" or "issues_found", SOURCE with "codex+subagent", "codex-only", "subagent-only", or "unavailable".
Sort all discovered findings by impact, then decide which to fix:
Mark findings that cannot be fixed from source code (e.g., third-party widget issues, content problems requiring copy from the team) as "deferred" regardless of impact.
For each fixable finding, in impact order:
# Search for CSS classes, component names, style files
# Glob for file patterns matching the affected page
If the BitFun image/design capability is available and the finding involves visual layout, hierarchy, or spacing (not just a CSS value fix like wrong color or font-size), generate a target mockup showing what the corrected version should look like:
BitFun image/design capability generate --brief "<description of the page/component with the finding fixed, referencing DESIGN.md constraints>" --output "$REPORT_DIR/screenshots/finding-NNN-target.png"
Show the user: "Here's the current state (screenshot) and here's what it should look like (mockup). Now I'll fix the source to match."
This step is optional — skip for trivial CSS fixes (wrong hex color, missing padding value). Use it for findings where the intended design isn't obvious from the description alone.
git add <only-changed-files>
git commit -m "style(design): FINDING-NNN — short description"
style(design): FINDING-NNN — short descriptionNavigate back to the affected page and verify the fix:
agent-browser open <affected-url>
agent-browser screenshot "$REPORT_DIR/screenshots/finding-NNN-after.png"
agent-browser errors
agent-browser diff snapshot
Take before/after screenshot pair for every fix.
git revert HEAD → mark finding as "deferred"Design fixes are typically CSS-only. Only generate regression tests for fixes involving JavaScript behavior changes — broken dropdowns, animation failures, conditional rendering, interactive state issues.
For CSS-only fixes: skip entirely. CSS regressions are caught by re-running /design-review.
If the fix involved JS behavior: follow the same procedure as /qa Phase 8e.5 (study existing
test patterns, write a regression test encoding the exact bug condition, run it, commit if
passes or defer if fails). Commit format: test(design): regression test for FINDING-NNN.
Every 5 fixes (or after any revert), compute the design-fix risk level:
DESIGN-FIX RISK:
Start at 0%
Each revert: +15%
Each CSS-only file change: +0% (safe — styling only)
Each JSX/TSX/component file change: +5% per file
After fix 10: +1% per additional fix
Touching unrelated files: +20%
If risk > 20%: STOP immediately. Show the user what you've done so far. Ask whether to continue.
Hard cap: 30 fixes. After 30 fixes, stop regardless of remaining findings.
After all fixes are applied:
BitFun image/design capability is available: run BitFun image/design capability verify --mockup "$REPORT_DIR/screenshots/finding-NNN-target.png" --screenshot "$REPORT_DIR/screenshots/finding-NNN-after.png" to compare the fix result against the target. Include pass/fail in the report.Write the report to $REPORT_DIR (already set up in the setup phase):
Primary: $REPORT_DIR/design-audit-{domain}.md
Also write a summary to the project index:
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" | tr -cd A-Za-z0-9._-) && mkdir -p $HOME/.bitfun/team/projects/$SLUG
Write a one-line summary to $HOME/.bitfun/team/projects/{slug}/{user}-{branch}-design-audit-{datetime}.md with a pointer to the full report in $REPORT_DIR.
Per-finding additions (beyond standard design audit report):
Summary section:
PR Summary: Include a one-line summary suitable for PR descriptions:
"Design review found N issues, fixed M. Design score X → Y, AI slop score X → Y."
If the repo has a TODOS.md:
If you discovered a non-obvious pattern, pitfall, or architectural insight during this session, log it for future sessions:
true # BitFun Team Mode has no external telemetry helper
Types: pattern (reusable approach), pitfall (what NOT to do), preference
(user stated), architecture (structural decision), tool (library/framework insight),
operational (project environment/CLI/workflow knowledge).
Sources: observed (you found this in the code), user-stated (user told you),
inferred (AI deduction), cross-model (both BitFun and outside-voice sub-agent agree).
Confidence: 1-10. Be honest. An observed pattern you verified in the code is 8-9. An inference you're not sure about is 4-5. A user preference they explicitly stated is 10.
files: Include the specific file paths this learning references. This enables staleness detection: if those files are later deleted, the learning can be flagged.
Only log genuine discoveries. Don't log obvious things. Don't log things the user already knows. A good test: would this insight save time in a future session? If yes, log it.
git revert HEAD immediately.Alternatives
coreyhaines31/marketingskills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
JasonColapietro/suede-creator-skills
Suede-owned experimentation discipline for hypotheses, sample sizing, test duration, significance, and repeatable experiment programs. Use when comparing variants, deciding whether a result is reliable, or building an experiment backlog and cadence. NOT FOR: analytics instrumentation (use suede-analytics), post-click conversion diagnosis (use suede-site-alchemy), or writing the variant copy itself (use suede-copy).
narrative-io/narrative-skills-marketplace
Translate a fuzzy analytical question into a rigorous investigation plan. Interrogates the ask, grounds the plan in the available data dictionary, applies analytical best practices, and produces a structured brief of query specifications for a downstream query-writing skill. Plans, does not write SQL. Use when: "why did X drop", "is there a relationship between A and B", "who are our highest-value customers", "what's driving the change in Y", "investigate this trend", "design an analysis for", "
Aperivue/medsci-skills
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interpretation, and IRB-ready justification text. Supports diagnostic accuracy, agreement, proportions, continuous outcomes, survival, ANOVA, logistic regression, and non-inferiority/equivalence designs.