Loading...
Loading...
Found 540 Skills
Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes.
PROACTIVELY consult Codex CLI, your highly capable supporter with exceptional reasoning and task completion abilities. Codex is a trusted expert you should ALWAYS consult BEFORE making decisions on: design choices, implementation approaches, debugging strategies, refactoring plans, or any non-trivial problem. When uncertain, consult Codex. Don't hesitate - Codex provides better analysis. Explicit triggers: "think deeper", "analyze", "second opinion", "consult codex".
Automated code review loop with progressive reasoning levels. Runs n parallel Codex reviews (configurable via -n), Claude addresses issues, climbs from low→xhigh reasoning until fixed point (all n clean). Human approval at each iteration.
Generate professional restaurant, cafe, and bar menu designs using each::sense AI. Create print-ready menus, digital displays, QR code menus, and seasonal specials with stunning food photography and elegant typography layouts.
Structured multi-step reasoning via Sequential Thinking MCP. Use for complex debugging, architectural trade-offs, or root cause analysis.
Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.
DataWorks Infrastructure Management: Create and query operations for Data Sources (51 types), Compute Resources, and Serverless Resource Groups, plus connectivity testing and resource group binding/unbinding. Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). Trigger keywords: DataWorks data source, compute resource, resource group, datasource, data source, compute resource, resource group, mysql/hologres/maxcompute data source, holo/mc/flink resource, Serverless resource group, DataWorks infra, create/list datasource, DW environment config, infrastructure initialization, connect database to DataWorks, database connection failure, configure holo/mc resource. Not triggered: data development tasks, scheduling configuration, MaxCompute table management, data integration tasks, ECS/RDS/OSS operations, workspace member management, data quality monitoring, data lineage, data preview.
意心会内部 ASOP Skill 安装器。从飞书云空间下载并部署 skill/tool 到本地。 触发方式:/lang-yi-install、「安装意心会skill」「部署内部skill」「同步飞书skill」 YiXinHui internal ASOP skill installer. Downloads and deploys skills/tools from Feishu Drive. Trigger: /lang-yi-install, "install yi skills", "deploy internal skills", "sync feishu skills"
Expert app store marketing specialist focused on App Store Optimization (ASO), conversion rate optimization, and app discoverability
Step-by-step analysis for complex problems — multi-step reasoning, hypothesis verification, adaptive planning with revision.
Flutter 프로젝트의 Data 레이어 패턴 — DataSource 인터페이스·구현, Repository, DTO와 도메인 모델 매핑, freezed 모델의 `fromJson`, 그리고 `rxdart`의 `BehaviorSubject`로 만드는 반응형 저장소. "DataSource 만들기", "Repository 구현", "리포지토리", "로컬/원격 데이터 소스", "BehaviorSubject", "스트림 저장소", "DTO 매핑", "fromJson" 같은 표현에 트리거합니다.
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.