[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70FQQ3M9HBPSSS9DR8GJNNJ":3,"skill-same:01M70FQQ3M9HBPSSS9DR8GJNNJ":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M70FQQ3M9HBPSSS9DR8GJNNJ","content-hash-cache-pattern",null,"Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.","mdnaimul22\u002Fhuman-skills","mdnaimul22","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F64520358?v=4","01M70FH95MH2H796Q01TYSFZ03","Naimul","01M70FH96798CQR4YHA13F17GA",3,"MIT","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Faffaan-m_ECC\u002Fcontent-hash-cache-pattern\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"content","cache","pattern","content hash cache pattern","file","sha-256","results","use","auto","service","processing","separation","with","layer","path","when","2026-11-10 10:12:30",false,"---\nname: content-hash-cache-pattern\ndescription: Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.\nmetadata:\n  origin: ECC\n---\n\n# Content-Hash File Cache Pattern\n\nCache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves\u002Frenames and auto-invalidates when content changes.\n\n## When to Activate\n\n- Building file processing pipelines (PDF, images, text extraction)\n- Processing cost is high and same files are processed repeatedly\n- Need a `--cache\u002F--no-cache` CLI option\n- Want to add caching to existing pure functions without modifying them\n\n## Core Pattern\n\n### 1. Content-Hash Based Cache Key\n\nUse file content (not path) as the cache key:\n\n```python\nimport hashlib\nfrom pathlib import Path\n\n_HASH_CHUNK_SIZE = 65536  # 64KB chunks for large files\n\ndef compute_file_hash(path: Path) -> str:\n    \"\"\"SHA-256 of file contents (chunked for large files).\"\"\"\n    if not path.is_file():\n        raise FileNotFoundError(f\"File not found: {path}\")\n    sha256 = hashlib.sha256()\n    with open(path, \"rb\") as f:\n        while True:\n            chunk = f.read(_HASH_CHUNK_SIZE)\n            if not chunk:\n                break\n            sha256.update(chunk)\n    return sha256.hexdigest()\n```\n\n**Why content hash?** File rename\u002Fmove = cache hit. Content change = automatic invalidation. No index file needed.\n\n### 2. Frozen Dataclass for Cache Entry\n\n```python\nfrom dataclasses import dataclass\n\n@dataclass(frozen=True, slots=True)\nclass CacheEntry:\n    file_hash: str\n    source_path: str\n    document: ExtractedDocument  # The cached result\n```\n\n### 3. File-Based Cache Storage\n\nEach cache entry is stored as `{hash}.json` — O(1) lookup by hash, no index file required.\n\n```python\nimport json\nfrom typing import Any\n\ndef write_cache(cache_dir: Path, entry: CacheEntry) -> None:\n    cache_dir.mkdir(parents=True, exist_ok=True)\n    cache_file = cache_dir \u002F f\"{entry.file_hash}.json\"\n    data = serialize_entry(entry)\n    cache_file.write_text(json.dumps(data, ensure_ascii=False), encoding=\"utf-8\")\n\ndef read_cache(cache_dir: Path, file_hash: str) -> CacheEntry | None:\n    cache_file = cache_dir \u002F f\"{file_hash}.json\"\n    if not cache_file.is_file():\n        return None\n    try:\n        raw = cache_file.read_text(encoding=\"utf-8\")\n        data = json.loads(raw)\n        return deserialize_entry(data)\n    except (json.JSONDecodeError, ValueError, KeyError):\n        return None  # Treat corruption as cache miss\n```\n\n### 4. Service Layer Wrapper (SRP)\n\nKeep the processing function pure. Add caching as a separate service layer.\n\n```python\ndef extract_with_cache(\n    file_path: Path,\n    *,\n    cache_enabled: bool = True,\n    cache_dir: Path = Path(\".cache\"),\n) -> ExtractedDocument:\n    \"\"\"Service layer: cache check -> extraction -> cache write.\"\"\"\n    if not cache_enabled:\n        return extract_text(file_path)  # Pure function, no cache knowledge\n\n    file_hash = compute_file_hash(file_path)\n\n    # Check cache\n    cached = read_cache(cache_dir, file_hash)\n    if cached is not None:\n        logger.info(\"Cache hit: %s (hash=%s)\", file_path.name, file_hash[:12])\n        return cached.document\n\n    # Cache miss -> extract -> store\n    logger.info(\"Cache miss: %s (hash=%s)\", file_path.name, file_hash[:12])\n    doc = extract_text(file_path)\n    entry = CacheEntry(file_hash=file_hash, source_path=str(file_path), document=doc)\n    write_cache(cache_dir, entry)\n    return doc\n```\n\n## Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| SHA-256 content hash | Path-independent, auto-invalidates on content change |\n| `{hash}.json` file naming | O(1) lookup, no index file needed |\n| Service layer wrapper | SRP: extraction stays pure, cache is a separate concern |\n| Manual JSON serialization | Full control over frozen dataclass serialization |\n| Corruption returns `None` | Graceful degradation, re-processes on next run |\n| `cache_dir.mkdir(parents=True)` | Lazy directory creation on first write |\n\n## Best Practices\n\n- **Hash content, not paths** — paths change, content identity doesn't\n- **Chunk large files** when hashing — avoid loading entire files into memory\n- **Keep processing functions pure** — they should know nothing about caching\n- **Log cache hit\u002Fmiss** with truncated hashes for debugging\n- **Handle corruption gracefully** — treat invalid cache entries as misses, never crash\n\n## Anti-Patterns to Avoid\n\n```python\n# BAD: Path-based caching (breaks on file move\u002Frename)\ncache = {\"\u002Fpath\u002Fto\u002Ffile.pdf\": result}\n\n# BAD: Adding cache logic inside the processing function (SRP violation)\ndef extract_text(path, *, cache_enabled=False, cache_dir=None):\n    if cache_enabled:  # Now this function has two responsibilities\n        ...\n\n# BAD: Using dataclasses.asdict() with nested frozen dataclasses\n# (can cause issues with complex nested types)\ndata = dataclasses.asdict(entry)  # Use manual serialization instead\n```\n\n## When to Use\n\n- File processing pipelines (PDF parsing, OCR, text extraction, image analysis)\n- CLI tools that benefit from `--cache\u002F--no-cache` options\n- Batch processing where the same files appear across runs\n- Adding caching to existing pure functions without modifying them\n\n## When NOT to Use\n\n- Data that must always be fresh (real-time feeds)\n- Cache entries that would be extremely large (consider streaming instead)\n- Results that depend on parameters beyond file content (e.g., different extraction configs)\n","# Content-Hash File Cache Pattern\n\nCache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves\u002Frenames and auto-invalidates when content changes.\n\n## When to Activate\n\n- Building file processing pipelines (PDF, images, text extraction)\n- Processing cost is high and same files are processed repeatedly\n- Need a `--cache\u002F--no-cache` CLI option\n- Want to add caching to existing pure functions without modifying them\n\n## Core Pattern\n\n### 1. Content-Hash Based Cache Key\n\nUse file content (not path) as the cache key:\n\n```python\nimport hashlib\nfrom pathlib import Path\n\n_HASH_CHUNK_SIZE = 65536  # 64KB chunks for large files\n\ndef compute_file_hash(path: Path) -> str:\n    \"\"\"SHA-256 of file contents (chunked for large files).\"\"\"\n    if not path.is_file():\n        raise FileNotFoundError(f\"File not found: {path}\")\n    sha256 = hashlib.sha256()\n    with open(path, \"rb\") as f:\n        while True:\n            chunk = f.read(_HASH_CHUNK_SIZE)\n            if not chunk:\n                break\n            sha256.update(chunk)\n    return sha256.hexdigest()\n```\n\n**Why content hash?** File rename\u002Fmove = cache hit. Content change = automatic invalidation. No index file needed.\n\n### 2. Frozen Dataclass for Cache Entry\n\n```python\nfrom dataclasses import dataclass\n\n@dataclass(frozen=True, slots=True)\nclass CacheEntry:\n    file_hash: str\n    source_path: str\n    document: ExtractedDocument  # The cached result\n```\n\n### 3. File-Based Cache Storage\n\nEach cache entry is stored as `{hash}.json` — O(1) lookup by hash, no index file required.\n\n```python\nimport json\nfrom typing import Any\n\ndef write_cache(cache_dir: Path, entry: CacheEntry) -> None:\n    cache_dir.mkdir(parents=True, exist_ok=True)\n    cache_file = cache_dir \u002F f\"{entry.file_hash}.json\"\n    data = serialize_entry(entry)\n    cache_file.write_text(json.dumps(data, ensure_ascii=False), encoding=\"utf-8\")\n\ndef read_cache(cache_dir: Path, file_hash: str) -> CacheEntry | None:\n    cache_file = cache_dir \u002F f\"{file_hash}.json\"\n    if not cache_file.is_file():\n        return None\n    try:\n        raw = cache_file.read_text(encoding=\"utf-8\")\n        data = json.loads(raw)\n        return deserialize_entry(data)\n    except (json.JSONDecodeError, ValueError, KeyError):\n        return None  # Treat corruption as cache miss\n```\n\n### 4. Service Layer Wrapper (SRP)\n\nKeep the processing function pure. Add caching as a separate service layer.\n\n```python\ndef extract_with_cache(\n    file_path: Path,\n    *,\n    cache_enabled: bool = True,\n    cache_dir: Path = Path(\".cache\"),\n) -> ExtractedDocument:\n    \"\"\"Service layer: cache check -> extraction -> cache write.\"\"\"\n    if not cache_enabled:\n        return extract_text(file_path)  # Pure function, no cache knowledge\n\n    file_hash = compute_file_hash(file_path)\n\n    # Check cache\n    cached = read_cache(cache_dir, file_hash)\n    if cached is not None:\n        logger.info(\"Cache hit: %s (hash=%s)\", file_path.name, file_hash[:12])\n        return cached.document\n\n    # Cache miss -> extract -> store\n    logger.info(\"Cache miss: %s (hash=%s)\", file_path.name, file_hash[:12])\n    doc = extract_text(file_path)\n    entry = CacheEntry(file_hash=file_hash, source_path=str(file_path), document=doc)\n    write_cache(cache_dir, entry)\n    return doc\n```\n\n## Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| SHA-256 content hash | Path-independent, auto-invalidates on content change |\n| `{hash}.json` file naming | O(1) lookup, no index file needed |\n| Service layer wrapper | SRP: extraction stays pure, cache is a separate concern |\n| Manual JSON serialization | Full control over frozen dataclass serialization |\n| Corruption returns `None` | Graceful degradation, re-processes on next run |\n| `cache_dir.mkdir(parents=True)` | Lazy directory creation on first write |\n\n## Best Practices\n\n- **Hash content, not paths** — paths change, content identity doesn't\n- **Chunk large files** when hashing — avoid loading entire files into memory\n- **Keep processing functions pure** — they should know nothing about caching\n- **Log cache hit\u002Fmiss** with truncated hashes for debugging\n- **Handle corruption gracefully** — treat invalid cache entries as misses, never crash\n\n## Anti-Patterns to Avoid\n\n```python\n# BAD: Path-based caching (breaks on file move\u002Frename)\ncache = {\"\u002Fpath\u002Fto\u002Ffile.pdf\": result}\n\n# BAD: Adding cache logic inside the processing function (SRP violation)\ndef extract_text(path, *, cache_enabled=False, cache_dir=None):\n    if cache_enabled:  # Now this function has two responsibilities\n        ...\n\n# BAD: Using dataclasses.asdict() with nested frozen dataclasses\n# (can cause issues with complex nested types)\ndata = dataclasses.asdict(entry)  # Use manual serialization instead\n```\n\n## When to Use\n\n- File processing pipelines (PDF parsing, OCR, text extraction, image analysis)\n- CLI tools that benefit from `--cache\u002F--no-cache` options\n- Batch processing where the same files appear across runs\n- Adding caching to existing pure functions without modifying them\n\n## When NOT to Use\n\n- Data that must always be fresh (real-time feeds)\n- Cache entries that would be extremely large (consider streaming instead)\n- Results that depend on parameters beyond file content (e.g., different extraction configs)\n",{"name":5,"metadata":45,"description":7},{"origin":46},"ECC","main","74715deacdc69119d739f38916f8ee4f0f979ebf","skills\u002Fstorage\u002Faffaan-m_ECC\u002Fcontent-hash-cache-pattern",0,"https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills","https:\u002F\u002Fgithub.com\u002Fmdnaimul22","AI Agents Workflows Automation | Specializing in Python, FastAPI, MCP Agents & Custom ERP.","2026-11-11 21:16:57",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add mdnaimul22\u002Fhuman-skills --skill content-hash-cache-pattern",{"tool":61,"command":62},"bunx","bunx skills add mdnaimul22\u002Fhuman-skills --skill content-hash-cache-pattern",{"tool":64,"command":65},"pnpm","pnpm dlx skills add mdnaimul22\u002Fhuman-skills --skill content-hash-cache-pattern","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Faffaan-m_ECC\u002Fcontent-hash-cache-pattern\u002FSKILL.md",true,[],[70,78,104,126,145,160],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":77},"01M72JT3YP1SQHD0MANGDXQ4RT","higgsfield-websites","Build, edit, and deploy full-stack websites, apps and games via the Higgsfield CLI (`higgsfield website …`). Each is a React 19 + TanStack Start SSR app in one Cloudflare Worker (D1\u002FR2\u002FKV\u002FDO\u002FContainers). THREE product types, picked via `--type` on create: `website` (standalone, no Higgsfield integration — references\u002Fwebsite-flow.md), `app` (Sign in with Higgsfield + fnf SDK, Quanta — references\u002Fapp-flow.md), `game` (realtime multiplayer rooms — references\u002Fgame-flow.md). Routes to the right flow; each carries its own rules and deploy\u002Fpublish gates.\nUse when: \"build me a website\", \"make a landing page\", \"create a web app\", \"build a SaaS dashboard \u002F portfolio\", \"make me a game\", \"deploy this site\", \"publish\". Also owns GAME ART: \"make a spritesheet\", \"tileable texture\", \"animate a 3D character\", game music\u002FSFX — see the game-* references.\nNOT for: single image\u002Fvideo\u002Faudio generation (higgsfield-generate), product photos (higgsfield-product-photoshoot), marketplace cards (higgsfield-marketplace-cards).","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fhiggsfield-ai_skills\u002Fhiggsfield-websites\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":96,"publishedAt":40},"01M70JPK8HAXXA85P7Q8NKZZYG","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fwriting-skills\u002FSKILL.md",[84,89,90,93],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":91,"categoryName":92,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":94,"categoryName":95,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000008","测试与质量",[97,98,99,100,31,101,102,39,103],"writing","writing skills","editing","deployment","Existing","new","work",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":115,"publishedAt":40},"01M70JP4PHBH1CQVVDWZ94W159","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fwriting-plans\u002FSKILL.md",[110,111,112],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":113,"categoryName":114,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师",[97,116,117,118,39,119,120,31,121,122,123,124,125],"writing plans","plans","you","code","for","requirements","task","multi","spec","multi-step task",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":40},"01M70JNTYVGXFZT8PASZ844TH8","verification-before-completion","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fverification-before-completion\u002FSKILL.md",[],[133,134,135,136,137,138,31,139,140,141,39,142,103,143,144],"verification","verification before completion","complete","about","output","assertions","prs","evidence","claim","claims","commands","running",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":152,"publishedAt":40},"01M70JNGVSQDESWN0Q5BPJ875V","using-superpowers","Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fusing-superpowers\u002FSKILL.md",[151],{"categoryNo":91,"categoryName":92,"taxonomyType":87,"taxonomyTypeDesc":88},[153,154,155,156,31,39,157,158,159],"using superpowers","superpowers","conversation","how to","how","find","questions",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":40},"01M70JN57CE588NPYPYTWH1DWG","using-git-worktrees","Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback","https:\u002F\u002Fgithub.com\u002Fmdnaimul22\u002Fhuman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fstorage\u002Fobra_superpowers\u002Fusing-git-worktrees\u002FSKILL.md",[],[167,168,169,170,171,172,39,103,173,174,175,176,177,178,179,117,31,180,181],"using git worktrees","Using git","git","worktrees","git worktrees","implementation","git worktree","worktree","native","Tools","isolation","fallback","feature","via","workspace"]