[{"_1":2,"_301":-5,"_302":-5},"loaderData",{"_3":4,"_7":8},"root",{"_5":6},"gaMeasurementId","G-LQYTSH5Y0M","routes/explore",{"_9":10,"_35":195,"_282":283,"_290":291},"skills",[11,41,48,53,59,65,72,78,85,92,99,106,113,120,127,134,140,147,154,161,168,175,182,188],{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":36},"id","896cc036-e94d-4615-b4d0-264ddc8c44a8","title","Migrating from TRL v0 to v1","description","This guide covers the breaking changes introduced in TRL v1 and how to update your code. Most structural changes (trainers moved to experimental, removed model classes, etc.) already shipped in v0.29 — if you're already on v0.29, this migration is minimal.","categoryName","General","categorySlug","general","viewCount",0,"createdAt",["D",1780174102299],"skillType","prompt","difficulty",1,"timeToValueMin",5,"outputFormat","markdown","qualityScore","categories",[37],{"_12":38,"_39":19,"_40":21},"03c62976-f605-4f39-a659-85bce16cd462","name","slug",{"_12":42,"_14":43,"_16":44,"_18":19,"_20":21,"_22":23,"_24":45,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":46},"704e0e2c-49e6-4d35-b765-509bfa4e6dc0",".ai/AGENTS.md","generic skill",["D",1780174101629],[47],{"_12":38,"_39":19,"_40":21},{"_12":49,"_14":43,"_16":44,"_18":19,"_20":21,"_22":23,"_24":50,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":51},"56d53cad-f9ed-4e2b-8505-741af9cf836a",["D",1780174101409],[52],{"_12":38,"_39":19,"_40":21},{"_12":54,"_14":55,"_16":44,"_18":19,"_20":21,"_22":23,"_24":56,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":57},"c4cb457f-d04a-40d9-8a1b-7c4dad6d1672","docs/source/developer_guides/contributing.md",["D",1780174097809],[58],{"_12":38,"_39":19,"_40":21},{"_12":60,"_14":61,"_16":44,"_18":19,"_20":21,"_22":23,"_24":62,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":63},"339f09c2-ccb5-449d-99fb-fa4d765631a8",".ai/CLAUDE.md",["D",1780174086887],[64],{"_12":38,"_39":19,"_40":21},{"_12":66,"_14":67,"_16":68,"_18":19,"_20":21,"_22":23,"_24":69,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":70},"28755345-56d1-45fc-bbce-8c3338fa4a0d","

","English ｜中文",["D",1780174065667],[71],{"_12":38,"_39":19,"_40":21},{"_12":73,"_14":67,"_16":74,"_18":19,"_20":21,"_22":23,"_24":75,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":76},"80d4be3e-3da3-41b5-8ba4-dd6bc20cdc49","English ｜中文",["D",1780174065444],[77],{"_12":38,"_39":19,"_40":21},{"_12":79,"_14":80,"_16":81,"_18":19,"_20":21,"_22":23,"_24":82,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":83},"9e0adbca-1b3b-48b4-9565-a52560097bbf","AWSTemplateFormatVersion: '2010-09-09'","Transform: AWS::Serverless-2016-10-31",["D",1780174036956],[84],{"_12":38,"_39":19,"_40":21},{"_12":86,"_14":87,"_16":88,"_18":19,"_20":21,"_22":23,"_24":89,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":90},"e777549c-3eab-4a2f-9979-1030da4e1797","![Frame 303](https://github.com/user-attachments/assets/01cf3bb2-650a-47a4-88b3-a63f961ae5e2) ![image](https://github.com/user-attachments/assets/77670023-4fab-4ac9-bbe1-c7ea36363e02)","

PeterCat

",["D",1780174036747],[91],{"_12":38,"_39":19,"_40":21},{"_12":93,"_14":94,"_16":95,"_18":19,"_20":21,"_22":23,"_24":96,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":97},"164e30a8-f0e6-48f3-ae2e-37e030bbd3d0","![Frame 294](https://github.com/user-attachments/assets/0656ab69-4352-452b-a8f4-1c05cec108d1) ![Frame 292](https://github.com/user-attachments/assets/49db0363-3f89-48a1-ba2b-e30bd5d083b3)","

",["D",1780174036556],[98],{"_12":38,"_39":19,"_40":21},{"_12":100,"_14":101,"_16":102,"_18":19,"_20":21,"_22":23,"_24":103,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":104},"966101ef-87d5-4807-8416-19ef7fe89dd4","![Frame 294](https://github.com/user-attachments/assets/0656ab69-4352-452b-a8f4-1c05cec108d1)","![Frame 292](https://github.com/user-attachments/assets/49db0363-3f89-48a1-ba2b-e30bd5d083b3)",["D",1780174036370],[105],{"_12":38,"_39":19,"_40":21},{"_12":107,"_14":108,"_16":109,"_18":19,"_20":21,"_22":23,"_24":110,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":111},"9d859658-73fe-4da8-b1e3-2e8a4f6f4693","docker/","lui/",["D",1780174036132],[112],{"_12":38,"_39":19,"_40":21},{"_12":114,"_14":115,"_16":116,"_18":19,"_20":21,"_22":23,"_24":117,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":118},"b3c342b3-d546-46bf-8dc7-d635b664e398","Docker volumnes","docker/volumes/db/data",["D",1780174035837],[119],{"_12":38,"_39":19,"_40":21},{"_12":121,"_14":122,"_16":123,"_18":19,"_20":21,"_22":23,"_24":124,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":125},"078d9b69-4f38-4968-bdff-2e4abe617d0a","Git-native author canonicalization for contributors with pre- and post-OpenAI identities.","addelong ",["D",1780173932531],[126],{"_12":38,"_39":19,"_40":21},{"_12":128,"_14":129,"_16":130,"_18":19,"_20":21,"_22":23,"_24":131,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":132},"6d3001a4-3192-4f2e-a7ae-c8b4eea0f3da","One-line summary","Fix Brave search result classification so snippet-only results are sent to the scraper instead of being treated as already-fetched full content.",["D",1780173922965],[133],{"_12":38,"_39":19,"_40":21},{"_12":135,"_14":129,"_16":136,"_18":19,"_20":21,"_22":23,"_24":137,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":138},"5cec8fcc-2a3b-4162-aef2-5ad21e5d79f2","Track Anthropic costs from native usage metadata instead of relying on the fallback tiktoken estimator.",["D",1780173922764],[139],{"_12":38,"_39":19,"_40":21},{"_12":141,"_14":142,"_16":143,"_18":19,"_20":21,"_22":23,"_24":144,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":145},"4fc561af-be62-46e8-8d5e-9c30441c0c93","Can We Skip CI for Pre-Release Builds? Analysis","**Issue:** [LE-517](https://datastax.jira.com/browse/LE-517)",["D",1780173894592],[146],{"_12":38,"_39":19,"_40":21},{"_12":148,"_14":149,"_16":150,"_18":19,"_20":21,"_22":23,"_24":151,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":152},"8e2aa948-4e1e-43fc-aac1-5073af042def","Langflow","Visual AI workflow builder for composing LLM-powered applications",["D",1780173893669],[153],{"_12":38,"_39":19,"_40":21},{"_12":155,"_14":156,"_16":157,"_18":19,"_20":21,"_22":23,"_24":158,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":159},"ea36c5a3-53b8-4745-8791-622d8faa3eae","CLAUDE.md","@AGENTS.md",["D",1780173893034],[160],{"_12":38,"_39":19,"_40":21},{"_12":162,"_14":163,"_16":164,"_18":19,"_20":21,"_22":23,"_24":165,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":166},"904a45ae-baf6-4759-9384-50fccb07cb68","AGENTS.md","Guidance for AI coding agents working in this repository.",["D",1780173892809],[167],{"_12":38,"_39":19,"_40":21},{"_12":169,"_14":170,"_16":171,"_18":19,"_20":21,"_22":23,"_24":172,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":173},"2620cd70-38aa-4782-ad54-bdb470d48b1d","Langflow Development Guide (Example)","> **This is an EXAMPLE file.** Use at your own risk.",["D",1780173892593],[174],{"_12":38,"_39":19,"_40":21},{"_12":176,"_14":177,"_16":178,"_18":19,"_20":21,"_22":23,"_24":179,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":180},"9344c221-6092-41a1-b999-1709873006ec","{","\"settingsInheritedFrom\": \"whitesource-config/whitesource-config@master\",",["D",1780173892410],[181],{"_12":38,"_39":19,"_40":21},{"_12":183,"_14":184,"_16":44,"_18":19,"_20":21,"_22":23,"_24":185,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":186},"b81b6239-4ce9-45d6-9df3-3dc4917db9bd","pnpm-lock.yaml",["D",1780173885808],[187],{"_12":38,"_39":19,"_40":21},{"_12":189,"_14":190,"_16":191,"_18":19,"_20":21,"_22":23,"_24":192,"_26":27,"_28":29,"_30":31,"_32":33,"_34":23,"_35":193},"5f5bd3e5-a9e5-4d93-918d-424742f7e159","Usage Limits / Free-Tier Guardrails","Server-side guardrails that bound the resources a single Weaviate instance can consume. Designed for the upcoming Weaviate Cloud Free Tier; usable in any deployment that fits the supported deployment shape (see *Scope* below).",["D",1780173838224],[194],{"_12":38,"_39":19,"_40":21},[196,205,211,216,222,227,232,235,240,245,251,257,262,267,272,277],{"_12":197,"_40":198,"_39":199,"_200":201,"_202":-5,"_203":204},"a42c053418278590dabb4e708d234b56","writing","Writing & Content","icon","PenTool","parentId","skillCount",3886,{"_12":206,"_40":207,"_39":208,"_200":209,"_202":-5,"_203":210},"e34909e91a1ac57f35f968852e349027","coding","Coding & Debugging","Code2",9175,{"_12":212,"_40":213,"_39":214,"_200":215,"_202":-5,"_203":23},"ecde4cfb0d5c90c8e71ba04fba25dcc2","analysis","Data & Insights","BarChart3",{"_12":217,"_40":218,"_39":219,"_200":220,"_202":-5,"_203":221},"533403f7bfbde78a03c4e3cbb7bc5437","research","Research & Learning","Search",848,{"_12":223,"_40":224,"_39":225,"_200":226,"_202":-5,"_203":23},"7a04bfb5f959bd76dd536cf48ce9fd9e","operations","Operations & Workflow","Workflow",{"_12":228,"_40":229,"_39":230,"_200":231,"_202":-5,"_203":23},"49bb5ea1322d62d9f548550053514d46","product","Product & Growth","TrendingUp",{"_12":38,"_40":21,"_39":19,"_200":233,"_202":-5,"_203":234},"Lightbulb",115101,{"_12":236,"_40":237,"_39":238,"_200":233,"_202":-5,"_203":239},"42dfb483-6598-41c3-a501-c7b23a9a5906","education","Education",2221,{"_12":241,"_40":242,"_39":243,"_200":233,"_202":-5,"_203":244},"9ff4a0f5-9868-40a5-8407-6a09ed42ac6c","marketing","Marketing",1276,{"_12":246,"_40":247,"_39":248,"_200":249,"_202":-5,"_203":250},"ef83dfd2-2ae7-477e-acee-95d4bbd337f2","creative","Creative","Sparkles",7924,{"_12":252,"_40":253,"_39":254,"_200":255,"_202":-5,"_203":256},"3e93bbe1-3053-49b5-befb-d1903956d63f","productivity","Productivity","Zap",3523,{"_12":258,"_40":259,"_39":260,"_200":233,"_202":-5,"_203":261},"812e2575-54dc-4fe7-839e-7c2cf5c70791","communication","Communication",822,{"_12":263,"_40":264,"_39":265,"_200":233,"_202":-5,"_203":266},"67d1d514-04c7-4fbf-8b4c-1e871e0c27c9","data","Data",5856,{"_12":268,"_40":269,"_39":270,"_200":233,"_202":-5,"_203":271},"118637da-a84f-4e1d-8e60-e05098d4a76a","business","Business",2023,{"_12":273,"_40":274,"_39":275,"_200":233,"_202":-5,"_203":276},"b2d356d4-0bc0-4cc8-bd16-e2051a220443","cursor-rules","Cursor-rules",206,{"_12":278,"_40":279,"_39":280,"_200":233,"_202":-5,"_203":281},"5495a585-36bf-4080-ac38-2c658891fd80","openclaw","Openclaw",66,"filters",{"_284":285,"_286":-5,"_287":288,"_26":-5,"_28":-5,"_289":-5,"_32":-5},"categorySlugs",[207,264,21],"searchQuery","sortBy","recent","timeToValue","pagination",{"_292":293,"_294":295,"_296":297,"_298":299,"_300":299},"page",18,"totalPages",5423,"totalCount",130132,"hasNextPage",true,"hasPrevPage","actionData","errors"]

Find agent skills by outcome

Migrating from TRL v0 to v1

.ai/AGENTS.md

.ai/AGENTS.md

docs/source/developer_guides/contributing.md

.ai/CLAUDE.md

<p align="left">

<p align="left">

AWSTemplateFormatVersion: '2010-09-09'

![Frame 303](https://github.com/user-attachments/assets/01cf3bb2-650a-47a4-88b3-a63f961ae5e2) ![image](https://github.com/user-attachments/assets/77670023-4fab-4ac9-bbe1-c7ea36363e02)

![Frame 294](https://github.com/user-attachments/assets/0656ab69-4352-452b-a8f4-1c05cec108d1) ![Frame 292](https://github.com/user-attachments/assets/49db0363-3f89-48a1-ba2b-e30bd5d083b3)

![Frame 294](https://github.com/user-attachments/assets/0656ab69-4352-452b-a8f4-1c05cec108d1)

docker/

Docker volumnes

Git-native author canonicalization for contributors with pre- and post-OpenAI identities.

One-line summary

One-line summary

Can We Skip CI for Pre-Release Builds? Analysis

Langflow

CLAUDE.md

AGENTS.md

Langflow Development Guide (Example)

{

pnpm-lock.yaml

Usage Limits / Free-Tier Guardrails