Results for “task-classification”
75 skillsauroc
Computes the AUROC metric using torchmetrics, handling binary, multiclass, and multilabel tasks with configurable thresholds and averaging.
3
logauc
Computes the LogAUC metric using the torchmetrics implementation for binary, multiclass, or multilabel classification tasks.
3
aeon
Performs time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using the aeon toolkit.
3 · bundle
eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3
aeon
Runs time series machine learning tasks—classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search—using the scikit-learn compatible aeon toolkit.
253 · bundle
aeon
Perform time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using a scikit-learn compatible Python toolkit.
30.2k · bundle
More results
recall
Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.
3
roc
Computes the Receiver Operating Characteristic (ROC) metric using torchmetrics, supporting binary, multiclass, and multilabel tasks.
3
credit-optimizer
Reduces AI API costs by 30-75% by classifying task complexity, checking prompt quality, and routing tasks to the most cost-efficient model tier before execution.
49 · bundle
navigate
Recommends the best skill, agent, or command for a given task by classifying intent and scanning available tools.
0
voice-routing
Routes writing tasks to the correct voice playbook by reading a voice selection authority file fresh on every call, classifying the task into one of 22 content types, and returning a load list with crossover budget and phrasebook section.
2
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
3 · bundle
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
1 · bundle
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria.
505 · bundle
task-decomposition
Task Decomposition
1.7k · bundle
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
6
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
3
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
0
execute-task
当用户已有确认过的开发任务清单(理想来自 split-task),要把它逐个落地成实现 + 测试 + 提交,并经验收确认真的做完时使用——如"执行任务、把 tasks 做掉、按任务清单开始编码、实现这些任务、推进开发"。不要用于:任务还没拆(先 split-task)、技术方案没定(先 make-design)、行为没钉死(先 write-spec)、想法还模糊(先 refine-idea)、只做单个改动的红绿闭环(那是 tdd)、只做一次代码审查(那是 review-changes)、单纯调试某个 bug、代码评审。
0 · bundle
planning-and-task-breakdown
Decompose work into small, verifiable tasks with explicit acceptance criteria, ordered by dependencies and sliced vertically for reliable implementation.
69.5k
sdd-tasks
Divide un cambio de diseño aprobado en tareas concretas, ordenadas por dependencias y agrupadas por fase, con criterios de done y un forecast de workload para revisión.
0
task-automation
Automate repetitive tasks and workflows using scripting, file watchers, scheduled jobs, CI triggers, and API polling to eliminate manual toil. Use when the user requests task automation or provides relevant inputs for this workflow.
159
tasks
View and manage the task stack and processing queue. Shows pending work, active tasks, completed items, and queue state. Triggers on "/tasks", "show tasks", "what's pending", "task list", "queue status".
3 · bundle
browser-task
浏览器自动化任务处理技能。仅在以下情况使用:1) 其他 skill/工具(搜索、API、数据接口等)都无法满足需求,需要通过真实浏览器 GUI 兜底执行;2) 任务必须在具体网站完成登录 / 授权 / 账号内动作(点赞 / 收藏 / 评论 / 发布 / 加购);3) 命中白名单网站(淘宝/天猫、微博、小红书)的站内检索 / 互动 / 发布需求。当用户仅需要信息检索、文本生成、代码或数据处理时,不要使用本 skill。
9 · bundle
lark-task
飞书任务:管理任务和清单。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务时使用。
1 · bundle
god-marduk
Trigger: project task list, task decomposition, phase planning, master orchestration, delivery governance. Scope: Project sequencing, task checklist creation, operating governance. Boundary: Excludes tactical code debugging.
1 · bundle
pk-route
Use the model-recommender skill, Workflow B (Task Router), to route the following task to the optimal model + version + effort: $ARGUMENTS.
0
task-dag-decomposition
Analyze candidate task nodes, dependencies, collisions, and critical path before a consumer accepts or rejects a final DAG.
4 · bundle
task-router
Route a task description to the right processkit skill, project-specific process override, and MCP tool in a single deterministic call — use this at the start of every processkit domain task.
0 · bundle
critical-thinking-task-designer
Design discipline-specific critical thinking tasks grounded in knowledge-contingent reasoning rather than generic skills. Use when embedding higher-order thinking into subject content.
0
dependency-repair
Autonomously repairs failed task verification by choosing retry, decompose, prune, or escalate strategies before surfacing to the user.
1 · bundle
task-orchestration
You have 5 projects, each with a session. You open each one, paste "continue with next priorities", wait, switch, repeat. You're acting as a human cron job.
1 · bundle
plan-writing
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
2
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
0 · bundle
parallel-task
Only to be triggered by explicit /parallel-task commands.
3
vocabulary-tiering-tool
Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.
0