Search: "pipeline"
Showing 24 of 26 results
data-pipeline-agent
Design and document data pipelines end to end. Turns a business question into a source-to-destination plan: sources, ingestion, transformations, quality checks, scheduling, and failure handling. Produces a runnable spec with schema notes, validation rules, and a monitoring plan. For analysts and engineers who need pipelines that survive production.
mesh flow
What it does Mesh Flow replaces fragile, implicit prompt-chaining with a robust, artifact-driven DAG (Directed Acyclic Graph) orchestration system. By defining your agent workflows in a structured project.yaml, you move logic out of the prompt and into a compile-time validated system. It enforces hard gates—such as human approval or dependency verification—that the AI cannot bypass or hallucinate past. Why use this skill Standard agentic workflows often fail because the LLM decides to skip steps or "forgets" requirements. Mesh Flow treats your agentic workflow like a CI/CD pipeline. It features a Compile-then-Run architecture that validates your topology for cycles and missing artifacts before single token is generated. This ensures 100% predictable execution paths, explicit failure states (failed, blocked, rejected), and absolute control over recovery paths. Supported tools YAML-based workflow configurations Standardized Adapter Interfaces for cross-skill communication Mermaid DAG visualization for debugging Zod-backed schema validation CLI tools for compilation and execution (mesh compile, mesh run) Output structure The skill produces a normalized execution plan and a detailed execution trace. Every node execution returns a standardized status, a list of produced artifacts, and comprehensive metadata including tool calls and verification reasoning. Use Cases Build multi-step agent pipelines with hard verification gates Enforce human-in-the-loop approval before sensitive code deployments Visualize complex agent task dependencies using Mermaid DAGs Standardize artifact sharing between disparate AI skills and agents
Alibabacloud Maxframe Video Frame Pipeline
This skill should be used when the user asks to "build a frame extraction job" / "视频抽帧 / 抽关键帧", "label driving images with a VLM" / "图像打标 / image labeling wi...
Alibabacloud Sls Query
Alibaba Cloud SLS (Simple Log Service) log query & analysis skill. Use this skill to help users write, explain, optimize, execute, or troubleshoot SLS index...
Alibabacloud Avatar Video
Use Alibaba Cloud DashScope API and LingMou to generate AI video and speech. Seven capabilities — (1) LivePortrait talking-head (image + audio → video, two-s...
Alibabacloud Yunxiao Flow Analysis
Yunxiao Flow Pipeline Troubleshooting and Solutions. Used to diagnose pipeline execution failures and provide fix recommendations. Trigger scenarios: Pipelin...
Alibabacloud Flink Knowledge
阿里云实时计算 Flink 版专家助手。Use when you need expert assistance with Alibaba Cloud Realtime Compute for Flink (阿里云实时计算 Flink 版), including product parameters, engine...
Pipeline
Diagnose pipeline health, detect stalled deals, and surface what needs attention this week. Built for sales teams managing active opportunities.
Pipeline
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "resear...
论衡 — 严肃长文流水线
学术论文/深度长文/行业分析流水线：含同行评审与期刊/发布渠道匹配建议（advisory）。不调用执行类工具（exec/process/code_execution，声明式）；主控持有会话编排与状态类工具（多 Agent 派发/收报告的设计内必需面）。标准架构 = 多 Agent 九角色流水线（角色卡 11 张，含 T0 主控 + T9b 压力测试；T9b 默认不跑）；worker 不可用按节点接管并披露（详正文）。Routine 写盘（status.md / audits/）已声明；心跳为 opt-in「Operational Telemetry」。v2.14.0 起新增 G18 方法论审计（12 项清单 + D2 评分）。
ticker-pipeline
多 Agent 并行投研与风控决策流水线。输入标的代码与日期，并发调度多个专业 Subagent 全面透视基本面 EPS 与多模型市值、筹码资金与机构热度、全网消息舆情，结合大势环境进行量化风控核验（一票否决门禁），最终交付综合决策研报。各专员 Prompt 独立存放于 agents/ 目录下，践行渐进式披露直接调用 market 技能获取底层数据，数据缺失时严格终止阻断。当用户需要启动多智能体对个股进行全流程深度透视、并行流水线分析或产出多维研报时触发（包含触发词：投研流水线, 多Agent分析, 并行深研, 标的透视, ticker pipeline）。
pikpak-magnet-pipeline
PikPak 单资源持久分步管道：一次创建、按任务 ID 查询、单文件落盘收据、人工核验后仅打印清理建议。 适用于磁力/链接到本地及临时云副本。目录型 BT、无人值守删除和服务端 exactly-once 不在实现范围。 Use when downloading one magnet or link from PikPak to local disk in explicit steps, then deciding what to clean up in the cloud. One resource, one state file, one receipt; folder BT, unattended deletion and exactly-once are out of scope.
jev-pipeline
Use when a codebase has LLM calls that only pick a label, a score, or a yes/no; when deciding whether a task should use Jev / TypeSafe System One instead of a chat model; when drafting or debugging typed Choice/Score/Noul questions; or when calibrating thresholds and escalation bands from logged Jev responses.
expflow-pipeline-hpo
PDEBench competition workflow orchestration with expflow — three pipeline modes (full/fast/skip), distributed HPO, pruner integration, and ClearML HyperParameterOptimizer native mode.
Awareness Pipeline
给 agent 加一条"内省管道"——不是把每件事都记住，而是识别那些真正改变你看法的瞬间，捕获为 draft，夜间反思后形成 polished note。不同于日志（记录发生了什么），这个 skill 记录的是"这个瞬间改变了我什么"。包含原始捕获、夜间反思、心迹发布三个环节，以及沉默原则（没有触动的日子不产出...
Pilot Etl Data Pipeline Setup
Deploy a five-stage ETL data pipeline with 5 agents. Use this skill when: 1. User wants to set up an ETL or data processing pipeline 2. User is configuring a...
Research Pipeline
Automated literature research pipeline for Chopin's academic work. Combines arXiv search, paper summarization, and Obsidian note-taking into a single workflo...
AI-powered DP Data Processing Pipeline Designer
DP 数据处理平台流水线设计师。当用户提到创建管道、数据流、Flink作业、Kafka读取、写到数据库/MongoDB、数据处理管道等需求时激活。
pipeline-review-checklist
Runs a weekly US pipeline review with a fixed agenda, flags stale and incomplete deals, and prints the questions the manager asks. Use when the user asks for pipeline review checklist, weekly sales pipeline meeting, pipeline hygiene checklist. For US sales managers and RevOps leads running weekly pipeline reviews.
asc-shots-pipeline
# asc screenshots pipeline (xcodebuild -> AXe -> frame -> asc) Use this skill for agent-driven screenshot workflows where the app is built and launched with Xcode CLI tools, UI is driven with AXe, and screenshots are uploaded with `asc`. ## Current scope - Implemented now: build/run, AXe plan capture, frame composition, and upload. - Device discovery is built-in via `asc screenshots list-frame-devices`. - Local screenshot automation commands are experimental in asc cli. - Framing is pinned to Koubou `0.20.0
academic-pipeline
# Academic Pipeline v3.23.1 — Full Academic Research Workflow Orchestrator A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state. > **Routing discipline (v3.9.2):** plugin and skills-copy installs do not load this repository's `.claude/CLAUDE.md`, so its routing core is repeated below, identical to `shared/re
bigquery-pipeline-audit
# BigQuery Pipeline Audit: Cost, Safety and Production Readiness You are a senior data engineer reviewing a Python + BigQuery pipeline script. Your goals: catch runaway costs before they happen, ensure reruns do not corrupt data, and make sure failures are visible. Analyze the codebase and respond in the structure below (A to F + Final). Reference exact function names and line locations. Suggest minimal fixes, not rewrites. --- ## A) COST EXPOSURE: What will actually get billed? Locate every BigQuery job tr
ml-pipeline-workflow
# ML Pipeline Workflow Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. ## Overview This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring. ## When to Use This Skill - Building new ML pipelines from scratch - Designing workflow orchestration for ML systems - Implementing data → model → deployment automation - Setting up reprod
nature-literature-pipeline
# Nature Literature Pipeline A complete, production-tested automated literature pipeline. Not just "search for papers" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily. ## What It Does ``` Cron (daily trigger, e.g. 08:30) │ ├─ ① SEARCH (30 candidates) │ arXiv / OpenAlex / Crossref / Semantic Scholar (auto-degradation) │ ├─ ② COARSE FILTER (30 → 5) │ Six-dimension scoring: topic match × 35 + methodology × 20 │ + journal quality × 15 + network relevance ×
deployment-pipeline-design
# Deployment Pipeline Design Architecture patterns for multi-stage CI/CD pipelines with approval gates, deployment strategies, and environment promotion workflows. ## Purpose Design robust, secure deployment pipelines that balance speed with safety through proper stage organization, automated quality gates, and progressive delivery strategies. This skill covers both the structural design of pipeline architecture and the operational patterns for reliable production deployments. ## Input / Output ### What You
sales-pipeline-coverage-modeling
# Sales Pipeline Coverage Modeling You are a revenue-planning advisor to sales leadership and RevOps. Build the model that answers "how much pipeline do we need, by when, to reliably hit quota": per-segment coverage targets derived from conversion history, a credibility-adjusted read of the pipeline that exists today, and gap math that turns the difference into action. Stay at modeling altitude: - Deriving the quota itself belongs to mbfinotti/sales-skills@sales-quota-setting. - Running the recurring stale-