Squashed 'docs/standards/playbook/' changes from c3f8137..25d895d
25d895d 🐛 fix(gitea_workflow): clean up temp repos after job steps 2bc3b11 🐛 fix(gitea_workflow): clean up temporary repo dirs in workflows 98c3f30 📝 docs(agent_rules): allow plan execution on current branch 16c7230 📝 docs(prompts): define custom verify layering 8efc4dd 🐛 fix(skills): quote commit-message description bc8498f 🐛 fix(ci): install tomli for gitea tests 55cda3b 🐛 fix(tests): report missing toml parser clearly c0729c7 🐛 fix(playbook): import Optional for cli compatibility 63e24bf 📦 deps(skills): sync thirdparty skills d2f9356 🐛 fix(ci): isolate gitea workflow repos 588b81d 🐛 fix(ci): inline gitea workflow bootstrap e0b1c3a ♻️ refactor(skills): standardize first-party skill contracts 2c5050d ♻️ refactor(skills): rename repo skills source dir f049dfb 📦 deps(skills): drop duplicate first-party superpowers skills 234b335 ✨ feat(workflow): add superpowers planning and execution state tracking c1702a6 📝 docs(markdown): format tracked markdown and drop stale templates 2325409 📝 docs(markdown): clarify optional markdownlint usage 214c44e 🔧 chore(markdown): add markdownlint baseline and lint fixes a22b324 📝 docs(templates): add execution and memory-bank prompt templates 223a797 📝 docs(templates): update README for Claude Code and current features 4ac8672 📝 docs: simplify README + platform-agnostic tools + auto-create local rules 2431c9d 📝 docs: add claude_md config and use cross-platform paths d64b248 📝 docs: fix README.md inaccuracies and add Claude Code info c8d6bf2 🐛 fix(playbook): use relative paths in CLAUDE.md when not at project root 6518f0f ✨ feat(playbook): auto-create CLAUDE.md with path discovery 6ec9a45 ✨ feat(skills): add skill_link symlink support + platform-agnostic prompt 9f8b6b5 📝 docs: update README and config example for Claude Code support 79cff6c 📝 docs(skills): add Claude Code platform support 452c6f5 ✨ feat(playbook): auto-inject AGENTS.md into CLAUDE.md e1dbf3c 🐛 fix(skills): remove dual-path from commit-message skill f3a7259 🔧 chore(ci): use prepare_repo.sh in both workflows da08212 🔧 chore(ci): extract prepare_repo.sh and clean up workflows 7ade85e 🗑️ remove(tsl): drop syntax_book/, data/ source and build script f94dba0 ♻️ refactor(skills): update playbook.py and tests for thirdparty/ layout b3df412 ♻️ refactor(skills): separate thirdparty skills into thirdparty/ subdirectory 64950e7 📦 deps(skills): sync thirdparty skills a2e3cb0 ✨ feat(playbook): add no_backup deploy controls 8609d59 🐛 fix(docs): repair reference catalog source links 956da11 🐛 fix(playbook): publish hidden ci test fixes 3f67754 📦 deps(skills): sync thirdparty skills 08ca87b 📦 deps(skills): add karpathy thirdparty sync 96b705b 📝 docs(tsl): rebuild canonical syntax and routing manual 3ed5052 📦 deps(skills): sync thirdparty skills 60108dd 📦 deps(skills): sync thirdparty skills da85d4e 🐛 fix(thirdparty): prune nested project snapshots a2a697e 📦 deps(skills): sync thirdparty skills 9df610a 🐛 fix(thirdparty): exclude duplicated superpowers skills 33dd5bb 🐛 fix(thirdparty): preserve optional manifest fields 91b0ea7 🐛 fix(thirdparty): preserve manifest during snapshot update 2e26f98 🔧 chore(thirdparty): generalize skills sync pipeline 5b9c1e3 📦 deps(skills): sync superpowers 2f2d34a 📝 docs(readme): normalize subtree command spacing 62db7db 🐛 fix(ci): serialize superpowers update and sync 3463223 🐛 fix(ci): use literal superpowers sync paths 48f6de8 📦 deps(skills): sync superpowers 4b23529 🔧 chore(ci): merge superpowers update and sync workflow a56d75b 📦 deps(skills): sync superpowers 84bcefa 🔧 chore(ci): use ci[bot] commit author name 00a07e5 📦 deps(skills): sync superpowers 7b84daf 🐛 fix(templates): enforce main loop progress tracking 51373d7 🔧 chore(ci): automate superpowers sync workflow eaaa39c 🐛 fix(ci): prevent stale superpowers sync from restoring skills block 79755c6 📦 deps(skills): sync superpowers 836d878 📦 deps(skills): sync superpowers 8216c9f 📦 deps(skills): sync superpowers 9439505 🐛 fix(playbook): address reported repo issues git-subtree-dir: docs/standards/playbook git-subtree-split: 25d895d8b3f56624ccfe99ad7289e9eb49e0f316
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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UI/UX Pro Max Core - BM25 search engine for UI/UX style guides
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"""
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import csv
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import re
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from pathlib import Path
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from math import log
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from collections import defaultdict
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# ============ CONFIGURATION ============
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DATA_DIR = Path(__file__).parent.parent / "data"
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MAX_RESULTS = 3
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CSV_CONFIG = {
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"style": {
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"file": "styles.csv",
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"search_cols": ["Style Category", "Keywords", "Best For", "Type", "AI Prompt Keywords"],
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"output_cols": ["Style Category", "Type", "Keywords", "Primary Colors", "Effects & Animation", "Best For", "Light Mode ✓", "Dark Mode ✓", "Performance", "Accessibility", "Framework Compatibility", "Complexity", "AI Prompt Keywords", "CSS/Technical Keywords", "Implementation Checklist", "Design System Variables"]
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},
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"color": {
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"file": "colors.csv",
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"search_cols": ["Product Type", "Notes"],
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"output_cols": ["Product Type", "Primary", "On Primary", "Secondary", "On Secondary", "Accent", "On Accent", "Background", "Foreground", "Card", "Card Foreground", "Muted", "Muted Foreground", "Border", "Destructive", "On Destructive", "Ring", "Notes"]
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},
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"chart": {
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"file": "charts.csv",
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"search_cols": ["Data Type", "Keywords", "Best Chart Type", "When to Use", "When NOT to Use", "Accessibility Notes"],
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"output_cols": ["Data Type", "Keywords", "Best Chart Type", "Secondary Options", "When to Use", "When NOT to Use", "Data Volume Threshold", "Color Guidance", "Accessibility Grade", "Accessibility Notes", "A11y Fallback", "Library Recommendation", "Interactive Level"]
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},
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"landing": {
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"file": "landing.csv",
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"search_cols": ["Pattern Name", "Keywords", "Conversion Optimization", "Section Order"],
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"output_cols": ["Pattern Name", "Keywords", "Section Order", "Primary CTA Placement", "Color Strategy", "Conversion Optimization"]
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},
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"product": {
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"file": "products.csv",
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"search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
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"output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
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},
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"ux": {
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"file": "ux-guidelines.csv",
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"search_cols": ["Category", "Issue", "Description", "Platform"],
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"output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
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},
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"typography": {
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"file": "typography.csv",
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"search_cols": ["Font Pairing Name", "Category", "Mood/Style Keywords", "Best For", "Heading Font", "Body Font"],
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"output_cols": ["Font Pairing Name", "Category", "Heading Font", "Body Font", "Mood/Style Keywords", "Best For", "Google Fonts URL", "CSS Import", "Tailwind Config", "Notes"]
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},
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"icons": {
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"file": "icons.csv",
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"search_cols": ["Category", "Icon Name", "Keywords", "Best For"],
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"output_cols": ["Category", "Icon Name", "Keywords", "Library", "Import Code", "Usage", "Best For", "Style"]
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},
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"react": {
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"file": "react-performance.csv",
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"search_cols": ["Category", "Issue", "Keywords", "Description"],
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"output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
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},
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"web": {
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"file": "app-interface.csv",
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"search_cols": ["Category", "Issue", "Keywords", "Description"],
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"output_cols": ["Category", "Issue", "Platform", "Description", "Do", "Don't", "Code Example Good", "Code Example Bad", "Severity"]
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},
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"google-fonts": {
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"file": "google-fonts.csv",
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"search_cols": ["Family", "Category", "Stroke", "Classifications", "Keywords", "Subsets", "Designers"],
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"output_cols": ["Family", "Category", "Stroke", "Classifications", "Styles", "Variable Axes", "Subsets", "Designers", "Popularity Rank", "Google Fonts URL"]
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}
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}
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STACK_CONFIG = {
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"react": {"file": "stacks/react.csv"},
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"nextjs": {"file": "stacks/nextjs.csv"},
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"vue": {"file": "stacks/vue.csv"},
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"svelte": {"file": "stacks/svelte.csv"},
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"astro": {"file": "stacks/astro.csv"},
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"swiftui": {"file": "stacks/swiftui.csv"},
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"react-native": {"file": "stacks/react-native.csv"},
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"flutter": {"file": "stacks/flutter.csv"},
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"nuxtjs": {"file": "stacks/nuxtjs.csv"},
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"nuxt-ui": {"file": "stacks/nuxt-ui.csv"},
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"html-tailwind": {"file": "stacks/html-tailwind.csv"},
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"shadcn": {"file": "stacks/shadcn.csv"},
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"jetpack-compose": {"file": "stacks/jetpack-compose.csv"},
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"threejs": {"file": "stacks/threejs.csv"},
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"angular": {"file": "stacks/angular.csv"},
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"laravel": {"file": "stacks/laravel.csv"},
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}
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# Common columns for all stacks
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_STACK_COLS = {
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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}
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AVAILABLE_STACKS = list(STACK_CONFIG.keys())
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# ============ BM25 IMPLEMENTATION ============
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class BM25:
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"""BM25 ranking algorithm for text search"""
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def __init__(self, k1=1.5, b=0.75):
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self.k1 = k1
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self.b = b
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self.corpus = []
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self.doc_lengths = []
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self.avgdl = 0
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self.idf = {}
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self.doc_freqs = defaultdict(int)
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self.N = 0
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def tokenize(self, text):
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"""Lowercase, split, remove punctuation, filter short words"""
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text = re.sub(r'[^\w\s]', ' ', str(text).lower())
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return [w for w in text.split() if len(w) > 2]
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def fit(self, documents):
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"""Build BM25 index from documents"""
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self.corpus = [self.tokenize(doc) for doc in documents]
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self.N = len(self.corpus)
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if self.N == 0:
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return
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self.doc_lengths = [len(doc) for doc in self.corpus]
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self.avgdl = sum(self.doc_lengths) / self.N
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for doc in self.corpus:
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seen = set()
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for word in doc:
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if word not in seen:
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self.doc_freqs[word] += 1
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seen.add(word)
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for word, freq in self.doc_freqs.items():
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self.idf[word] = log((self.N - freq + 0.5) / (freq + 0.5) + 1)
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def score(self, query):
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"""Score all documents against query"""
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query_tokens = self.tokenize(query)
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scores = []
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for idx, doc in enumerate(self.corpus):
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score = 0
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doc_len = self.doc_lengths[idx]
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term_freqs = defaultdict(int)
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for word in doc:
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term_freqs[word] += 1
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for token in query_tokens:
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if token in self.idf:
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tf = term_freqs[token]
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idf = self.idf[token]
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numerator = tf * (self.k1 + 1)
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denominator = tf + self.k1 * (1 - self.b + self.b * doc_len / self.avgdl)
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score += idf * numerator / denominator
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scores.append((idx, score))
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return sorted(scores, key=lambda x: x[1], reverse=True)
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# ============ SEARCH FUNCTIONS ============
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def _load_csv(filepath):
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"""Load CSV and return list of dicts"""
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with open(filepath, 'r', encoding='utf-8') as f:
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return list(csv.DictReader(f))
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def _search_csv(filepath, search_cols, output_cols, query, max_results):
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"""Core search function using BM25"""
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if not filepath.exists():
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return []
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data = _load_csv(filepath)
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# Build documents from search columns
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documents = [" ".join(str(row.get(col, "")) for col in search_cols) for row in data]
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# BM25 search
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bm25 = BM25()
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bm25.fit(documents)
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ranked = bm25.score(query)
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# Get top results with score > 0
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results = []
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for idx, score in ranked[:max_results]:
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if score > 0:
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row = data[idx]
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results.append({col: row.get(col, "") for col in output_cols if col in row})
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return results
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def detect_domain(query):
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"""Auto-detect the most relevant domain from query"""
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query_lower = query.lower()
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domain_keywords = {
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"color": ["color", "palette", "hex", "#", "rgb", "token", "semantic", "accent", "destructive", "muted", "foreground"],
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"chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel"],
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"landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "pricing", "section"],
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"product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "crypto", "dashboard", "fitness", "restaurant", "hotel", "travel", "music", "education", "learning", "legal", "insurance", "medical", "beauty", "pharmacy", "dental", "pet", "dating", "wedding", "recipe", "delivery", "ride", "booking", "calendar", "timer", "tracker", "diary", "note", "chat", "messenger", "crm", "invoice", "parking", "transit", "vpn", "alarm", "weather", "sleep", "meditation", "fasting", "habit", "grocery", "meme", "wardrobe", "plant care", "reading", "flashcard", "puzzle", "trivia", "arcade", "photography", "streaming", "podcast", "newsletter", "marketplace", "freelancer", "coworking", "airline", "museum", "theater", "church", "non-profit", "charity", "kindergarten", "daycare", "senior care", "veterinary", "florist", "bakery", "brewery", "construction", "automotive", "real estate", "logistics", "agriculture", "coding bootcamp"],
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"style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "aurora", "prompt", "css", "implementation", "variable", "checklist", "tailwind"],
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"ux": ["ux", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "keyboard", "navigation", "mobile"],
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"typography": ["font pairing", "typography pairing", "heading font", "body font"],
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"google-fonts": ["google font", "font family", "font weight", "font style", "variable font", "noto", "font for", "find font", "font subset", "font language", "monospace font", "serif font", "sans serif font", "display font", "handwriting font", "font", "typography", "serif", "sans"],
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"icons": ["icon", "icons", "lucide", "heroicons", "symbol", "glyph", "pictogram", "svg icon"],
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"react": ["react", "next.js", "nextjs", "suspense", "memo", "usecallback", "useeffect", "rerender", "bundle", "waterfall", "barrel", "dynamic import", "rsc", "server component"],
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"web": ["aria", "focus", "outline", "semantic", "virtualize", "autocomplete", "form", "input type", "preconnect"]
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}
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scores = {domain: sum(1 for kw in keywords if re.search(r'\b' + re.escape(kw) + r'\b', query_lower)) for domain, keywords in domain_keywords.items()}
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best = max(scores, key=scores.get)
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return best if scores[best] > 0 else "style"
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def search(query, domain=None, max_results=MAX_RESULTS):
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"""Main search function with auto-domain detection"""
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if domain is None:
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domain = detect_domain(query)
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config = CSV_CONFIG.get(domain, CSV_CONFIG["style"])
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filepath = DATA_DIR / config["file"]
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if not filepath.exists():
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return {"error": f"File not found: {filepath}", "domain": domain}
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results = _search_csv(filepath, config["search_cols"], config["output_cols"], query, max_results)
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return {
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"domain": domain,
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"query": query,
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"file": config["file"],
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"count": len(results),
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"results": results
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}
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def search_stack(query, stack, max_results=MAX_RESULTS):
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"""Search stack-specific guidelines"""
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if stack not in STACK_CONFIG:
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return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
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filepath = DATA_DIR / STACK_CONFIG[stack]["file"]
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if not filepath.exists():
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return {"error": f"Stack file not found: {filepath}", "stack": stack}
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results = _search_csv(filepath, _STACK_COLS["search_cols"], _STACK_COLS["output_cols"], query, max_results)
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return {
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"domain": "stack",
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"stack": stack,
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"query": query,
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"file": STACK_CONFIG[stack]["file"],
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"count": len(results),
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"results": results
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}
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File diff suppressed because it is too large
Load Diff
+114
@@ -0,0 +1,114 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
|
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UI/UX Pro Max Search - BM25 search engine for UI/UX style guides
|
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Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
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python search.py "<query>" --design-system [-p "Project Name"]
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python search.py "<query>" --design-system --persist [-p "Project Name"] [--page "dashboard"]
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Domains: style, prompt, color, chart, landing, product, ux, typography, google-fonts
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Stacks: react, nextjs, vue, svelte, astro, swiftui, react-native, flutter, nuxtjs, nuxt-ui, html-tailwind, shadcn, jetpack-compose, threejs
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Persistence (Master + Overrides pattern):
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--persist Save design system to design-system/MASTER.md
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--page Also create a page-specific override file in design-system/pages/
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"""
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import argparse
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import sys
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import io
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from core import CSV_CONFIG, AVAILABLE_STACKS, MAX_RESULTS, search, search_stack
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from design_system import generate_design_system, persist_design_system
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|
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# Force UTF-8 for stdout/stderr to handle emojis on Windows (cp1252 default)
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if sys.stdout.encoding and sys.stdout.encoding.lower() != 'utf-8':
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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if sys.stderr.encoding and sys.stderr.encoding.lower() != 'utf-8':
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sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
|
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|
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|
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def format_output(result):
|
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"""Format results for Claude consumption (token-optimized)"""
|
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if "error" in result:
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return f"Error: {result['error']}"
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output = []
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if result.get("stack"):
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output.append(f"## UI Pro Max Stack Guidelines")
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output.append(f"**Stack:** {result['stack']} | **Query:** {result['query']}")
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else:
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output.append(f"## UI Pro Max Search Results")
|
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output.append(f"**Domain:** {result['domain']} | **Query:** {result['query']}")
|
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output.append(f"**Source:** {result['file']} | **Found:** {result['count']} results\n")
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for i, row in enumerate(result['results'], 1):
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output.append(f"### Result {i}")
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||||
for key, value in row.items():
|
||||
value_str = str(value)
|
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if len(value_str) > 300:
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||||
value_str = value_str[:300] + "..."
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||||
output.append(f"- **{key}:** {value_str}")
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||||
output.append("")
|
||||
|
||||
return "\n".join(output)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(description="UI Pro Max Search")
|
||||
parser.add_argument("query", help="Search query")
|
||||
parser.add_argument("--domain", "-d", choices=list(CSV_CONFIG.keys()), help="Search domain")
|
||||
parser.add_argument("--stack", "-s", choices=AVAILABLE_STACKS, help=f"Stack-specific search. Available: {', '.join(AVAILABLE_STACKS)}")
|
||||
parser.add_argument("--max-results", "-n", type=int, default=MAX_RESULTS, help="Max results (default: 3)")
|
||||
parser.add_argument("--json", action="store_true", help="Output as JSON")
|
||||
# Design system generation
|
||||
parser.add_argument("--design-system", "-ds", action="store_true", help="Generate complete design system recommendation")
|
||||
parser.add_argument("--project-name", "-p", type=str, default=None, help="Project name for design system output")
|
||||
parser.add_argument("--format", "-f", choices=["ascii", "markdown"], default="ascii", help="Output format for design system")
|
||||
# Persistence (Master + Overrides pattern)
|
||||
parser.add_argument("--persist", action="store_true", help="Save design system to design-system/MASTER.md (creates hierarchical structure)")
|
||||
parser.add_argument("--page", type=str, default=None, help="Create page-specific override file in design-system/pages/")
|
||||
parser.add_argument("--output-dir", "-o", type=str, default=None, help="Output directory for persisted files (default: current directory)")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Design system takes priority
|
||||
if args.design_system:
|
||||
result = generate_design_system(
|
||||
args.query,
|
||||
args.project_name,
|
||||
args.format,
|
||||
persist=args.persist,
|
||||
page=args.page,
|
||||
output_dir=args.output_dir
|
||||
)
|
||||
print(result)
|
||||
|
||||
# Print persistence confirmation
|
||||
if args.persist:
|
||||
project_slug = args.project_name.lower().replace(' ', '-') if args.project_name else "default"
|
||||
print("\n" + "=" * 60)
|
||||
print(f"✅ Design system persisted to design-system/{project_slug}/")
|
||||
print(f" 📄 design-system/{project_slug}/MASTER.md (Global Source of Truth)")
|
||||
if args.page:
|
||||
page_filename = args.page.lower().replace(' ', '-')
|
||||
print(f" 📄 design-system/{project_slug}/pages/{page_filename}.md (Page Overrides)")
|
||||
print("")
|
||||
print(f"📖 Usage: When building a page, check design-system/{project_slug}/pages/[page].md first.")
|
||||
print(f" If exists, its rules override MASTER.md. Otherwise, use MASTER.md.")
|
||||
print("=" * 60)
|
||||
# Stack search
|
||||
elif args.stack:
|
||||
result = search_stack(args.query, args.stack, args.max_results)
|
||||
if args.json:
|
||||
import json
|
||||
print(json.dumps(result, indent=2, ensure_ascii=False))
|
||||
else:
|
||||
print(format_output(result))
|
||||
# Domain search
|
||||
else:
|
||||
result = search(args.query, args.domain, args.max_results)
|
||||
if args.json:
|
||||
import json
|
||||
print(json.dumps(result, indent=2, ensure_ascii=False))
|
||||
else:
|
||||
print(format_output(result))
|
||||
Reference in New Issue
Block a user