prime-intellect
Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources.
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Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources.
Extract metadata from SPSS .sav files as JSON using pyreadstat
Analyzes shipping data with intelligent preprocessing to handle raw, unstructured data from various sources. Automatically detects, maps, and cleans data before creating comprehensive carrier dashboards with vo...
Use the Databuddy REST API for programmatic access to analytics data. Use when querying analytics data, building custom dashboards, sending events via API, or integrating analytics into backend services.
Create Databricks AI/BI dashboard JSON files in lvdash.json format. Triggers: ダッシュボード, 可視化, visualize, create dashboard, build dashboard, dashboard JSON, lvdash.json, BI dashboard, visualization, char...
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Guide to seeding initial data using SCL instance blocks.
Sync change delta specs into current truth using intelligent merge.
Generate Konveyor analyzer migration rules from migration guides using AI
Databricks billing data analysis and cost calculation using system.billing tables. Triggers: cost analysis, billing report, DBU usage, SKU costs, monthly expenses, job costs, warehouse costs, spending breakdown...
Databricks System Tables の分析・クエリ作成支援。Unity Catalog の system カタログに格納された運用データ(課金、監査ログ、ジョブ実行、クエリ履歴、リネージュ、コンピュートなど)を活用した分析・調査を行う際に使用...
Unity Catalog metadata inspection, data exploration, and permission management. Triggers: list catalogs, show tables, describe table, check permissions, grant access, table not found, access denied, explore sch...
Databricks Jobs management, monitoring, and debugging. Use for job status checks, run history, failure investigation, job execution, and historical analysis. Triggers: job status, run history, job failure, debu...
Calculate story point estimates for user stories using structured formula (Complexity × Effort + Risk). Analyzes acceptance criteria, assesses complexity (1-5), effort (1-5), and risk (0-3), then documents esti...
Apply throwaway prototyping methodology when exploring new concepts, unfamiliar technology, or unclear requirements. Build fast, learn deeply, then rebuild properly. Use for feasibility studies, proof-of-concep...
Assess implementation risks using Probability × Impact (P×I) scoring methodology across 6 categories (Technical, Security, Performance, Data, Business, Operational). Scores risks (P×I: 1-9), develops mitigation...
Use when analyzing requirements or project specifications - guides shannon analyze command, explains 8D complexity output, caching behavior, context-aware mode with --project flag
Validates task completion by checking for real implementation, working code, test results, and compliance with quality standards. Prevents paper solutions and ensures tasks are actually completed before being m...
Search GitHub Issues and PRs with 30+ qualifiers including labels, dates, users, state, milestones, and content. Use when searching for issues by keywords, metadata, or complex filters.
Generate comprehensive lab member rosters in both markdown and CSV formats. Analyzes member profiles, git history, and alumni information to create detailed rosters with role transitions, team assignments, and...
Read Jira tickets, extract requirements, summarize in developer-friendly format, optionally search codebase for related files, and update ticket status with transitions
Execute approved task specifications sequentially with TDD, comprehensive testing, and validation. This skill should be used for implementing tasks from approved specs with full audit trail.
Assess non-functional requirements across 6 quality categories (Security, Performance, Reliability, Maintainability, Scalability, Usability) with measurable criteria, evidence-based evaluation, and automated ch...
Implement features from task specifications using Test-Driven Development (TDD) with bmad-commands for file operations and testing. This skill should be used when implementing new functionality from approved ta...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。