[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MG91PR6S4Q17DRACR3B7A0":3,"skill-same:01M6MG91PR6S4Q17DRACR3B7A0":63},{"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":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":44,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6MG91PR6S4Q17DRACR3B7A0","perf",null,"Performance optimizer for loops, DB queries, rendering, and batch operations. Catches N+1 queries, missing indexes, and unnecessary re-renders.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1571,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fepicsagas\u002Fepic-harness\u002Fskills\u002Fperf\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31,32],"performance","batch","Evaluation","performance optimizer","operations","queries","indexes","optimizer","db","missing","rendering","loops","re","for","2026-11-10 10:12:30",false,"---\nname: perf\ndimension: evaluation_and_reward\ndescription: \"Performance optimizer for loops, DB queries, rendering, and batch operations. Catches N+1 queries, missing indexes, and unnecessary re-renders.\"\n---\n\n# Perf — Performance Review\n\n## Process\n\n1. Identify performance-sensitive code paths from the diff (loops, queries, rendering, batch ops)\n2. Run the Checklist below, marking each item as pass, fail, or N\u002FA with reason\n3. For each failure, cite the file and line number with a one-line fix hint\n4. Report findings using the Evidence Required section\n\n## When to Trigger\n- Database queries inside loops\n- Large data set processing\n- Rendering or UI update logic\n- API endpoint that could receive high traffic\n- File I\u002FO in hot paths\n\n## Checklist\n\n### Database\n- [ ] No N+1 queries (use JOIN, eager loading, or batch) — N+1 queries cause latency to scale linearly with row count, turning a 1ms query into seconds under load.\n- [ ] Indexes exist for frequently queried columns — without indexes, the database performs full table scans, collapsing read throughput.\n- [ ] Pagination for large result sets — fetching all rows at once exhausts memory and increases response time for every consumer.\n- [ ] Connection pooling configured — opening a new connection per request adds network round-trip overhead and can exhaust database connection limits.\n\n### Memory\n- [ ] No unbounded arrays or caches growing indefinitely — unbounded growth causes gradual memory exhaustion and eventual OOM kills with no warning.\n- [ ] Event listeners properly removed \u002F unsubscribed — leaked listeners hold references to their context, preventing garbage collection of entire object graphs.\n- [ ] Large objects released after use — holding references to large payloads keeps them in the heap, increasing GC pressure and pause times.\n- [ ] Streams used for large file processing (not loading entire file) — loading a multi-GB file into RAM blocks other allocations and risks crashing the process.\n\n### Computation\n- [ ] Expensive calculations memoized where appropriate — recomputing pure results on every call wastes CPU cycles that compound in hot paths.\n- [ ] No redundant re-renders (React: useMemo, useCallback) — unnecessary re-renders cascade through the component tree, causing layout thrash and dropped frames.\n- [ ] Async operations don't block the main thread — blocking the main thread stalls all concurrent requests, degrading throughput for every user.\n- [ ] Debounce\u002Fthrottle on frequent events (scroll, input) — unthrottled handlers fire hundreds of times per second, overwhelming the event loop.\n\n### Network\n- [ ] Responses compressed (gzip\u002Fbrotli) — uncompressed JSON\u002FHTML can be 5-10x larger, wasting bandwidth and increasing time-to-first-byte.\n- [ ] Static assets cached with proper headers — missing cache headers force the browser to re-download unchanged assets on every page load.\n- [ ] No unnecessary API calls (cache, dedupe) — duplicate requests waste server resources and increase latency for legitimate traffic.\n\nSee `references\u002Fperformance.md` for the full checklist.\n\n## Anti-Rationalization\n\n| Excuse | Rebuttal | What to do instead |\n|--------|----------|--------------------|\n| \"Premature optimization is the root of all evil\" | Knuth said \"about 97% of the time\" — the other 3% matters. N+1 queries are never premature. | Check for N+1 queries and missing indexes before merging. |\n| \"It works fine on my machine\" | Your machine is not production. Profile under realistic conditions. | Run the perf checklist against realistic data volumes. |\n| \"We can optimize later\" | Performance debt is invisible until it's catastrophic. Measure now. | Add a benchmark or load test for the critical path today. |\n\n## Evidence Required\n\nBefore claiming performance review is complete, show ALL applicable:\n\n- [ ] No N+1 queries: show the query plan or eager-loading code\n- [ ] Pagination present: show limit\u002Foffset or cursor implementation\n- [ ] No unbounded collections: show size caps or streaming for large data\n- [ ] Async I\u002FO in request paths: show `await` or stream usage (no sync fs\u002Fnet)\n\n**\"Looks fine\" is not a review. Show the query or the code path.**\n\n## Red Flags\n- Loading all records when only count is needed\n- Synchronous file I\u002FO in request handlers\n- Missing pagination on list endpoints\n","# Perf — Performance Review\n\n## Process\n\n1. Identify performance-sensitive code paths from the diff (loops, queries, rendering, batch ops)\n2. Run the Checklist below, marking each item as pass, fail, or N\u002FA with reason\n3. For each failure, cite the file and line number with a one-line fix hint\n4. Report findings using the Evidence Required section\n\n## When to Trigger\n- Database queries inside loops\n- Large data set processing\n- Rendering or UI update logic\n- API endpoint that could receive high traffic\n- File I\u002FO in hot paths\n\n## Checklist\n\n### Database\n- [ ] No N+1 queries (use JOIN, eager loading, or batch) — N+1 queries cause latency to scale linearly with row count, turning a 1ms query into seconds under load.\n- [ ] Indexes exist for frequently queried columns — without indexes, the database performs full table scans, collapsing read throughput.\n- [ ] Pagination for large result sets — fetching all rows at once exhausts memory and increases response time for every consumer.\n- [ ] Connection pooling configured — opening a new connection per request adds network round-trip overhead and can exhaust database connection limits.\n\n### Memory\n- [ ] No unbounded arrays or caches growing indefinitely — unbounded growth causes gradual memory exhaustion and eventual OOM kills with no warning.\n- [ ] Event listeners properly removed \u002F unsubscribed — leaked listeners hold references to their context, preventing garbage collection of entire object graphs.\n- [ ] Large objects released after use — holding references to large payloads keeps them in the heap, increasing GC pressure and pause times.\n- [ ] Streams used for large file processing (not loading entire file) — loading a multi-GB file into RAM blocks other allocations and risks crashing the process.\n\n### Computation\n- [ ] Expensive calculations memoized where appropriate — recomputing pure results on every call wastes CPU cycles that compound in hot paths.\n- [ ] No redundant re-renders (React: useMemo, useCallback) — unnecessary re-renders cascade through the component tree, causing layout thrash and dropped frames.\n- [ ] Async operations don't block the main thread — blocking the main thread stalls all concurrent requests, degrading throughput for every user.\n- [ ] Debounce\u002Fthrottle on frequent events (scroll, input) — unthrottled handlers fire hundreds of times per second, overwhelming the event loop.\n\n### Network\n- [ ] Responses compressed (gzip\u002Fbrotli) — uncompressed JSON\u002FHTML can be 5-10x larger, wasting bandwidth and increasing time-to-first-byte.\n- [ ] Static assets cached with proper headers — missing cache headers force the browser to re-download unchanged assets on every page load.\n- [ ] No unnecessary API calls (cache, dedupe) — duplicate requests waste server resources and increase latency for legitimate traffic.\n\nSee `references\u002Fperformance.md` for the full checklist.\n\n## Anti-Rationalization\n\n| Excuse | Rebuttal | What to do instead |\n|--------|----------|--------------------|\n| \"Premature optimization is the root of all evil\" | Knuth said \"about 97% of the time\" — the other 3% matters. N+1 queries are never premature. | Check for N+1 queries and missing indexes before merging. |\n| \"It works fine on my machine\" | Your machine is not production. Profile under realistic conditions. | Run the perf checklist against realistic data volumes. |\n| \"We can optimize later\" | Performance debt is invisible until it's catastrophic. Measure now. | Add a benchmark or load test for the critical path today. |\n\n## Evidence Required\n\nBefore claiming performance review is complete, show ALL applicable:\n\n- [ ] No N+1 queries: show the query plan or eager-loading code\n- [ ] Pagination present: show limit\u002Foffset or cursor implementation\n- [ ] No unbounded collections: show size caps or streaming for large data\n- [ ] Async I\u002FO in request paths: show `await` or stream usage (no sync fs\u002Fnet)\n\n**\"Looks fine\" is not a review. Show the query or the code path.**\n\n## Red Flags\n- Loading all records when only count is needed\n- Synchronous file I\u002FO in request handlers\n- Missing pagination on list endpoints\n",{"name":5,"dimension":38,"description":7},"evaluation_and_reward","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fepicsagas\u002Fepic-harness\u002Fskills\u002Fperf",490,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-14 02:12:02",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill perf",{"tool":55,"command":56},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill perf",{"tool":58,"command":59},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill perf","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fepicsagas\u002Fepic-harness\u002Fskills\u002Fperf\u002FSKILL.md",true,[],[64,72,79,86,112,137],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":71},"01M746ZWACVKMZ1BJXJZHYJSSX","migrate-to-e2e","Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for \u002Fmigrate-to-e2e, \"migrate our tests to e2e\", \"port these Maestro flows\", \"move our TesterArmy tests\", or when a project has an e2e config and an older suite still running.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fmigrate-to-e2e\u002FSKILL.md",[],[],"2026-11-11 15:11:14",{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":71},"01M746ZPTAX1Q0FBKAB1CYND7E","e2e","Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fe2e\u002FSKILL.md",[],[],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":71},"01M746ZJN784HVHMDP9MQGCSGG","create-verification-skill","Generate a project-local verify-\u003Capp> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for \u002Fcreate-verification-skill, \"make a verification skill for this repo\", or when a project has no scripted way to prove UI behavior.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fcreate-verification-skill\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":33},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[93,94,95,96,97,98,31,99,100,101,102,103,104,105,106,107,108,109,110,111],"search","deja search","never","error","ready","memory","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":33},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[119,120,121,107,122,123,124,125,126,127,128,129,130,131,98,132,133,134,135,136],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":154,"publishedAt":33},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[143,148,151],{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":149,"categoryName":150,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":152,"categoryName":153,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000010","后端与接口",[139,155,156,157,158,159,160,133,161,31,162,163,164,165,103,166,167,168,169,170],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","image","mcp server","schedule","api","publish"]