搜索「Pipeline」的结果

io.github.microsoft/PowerToys/ui-tests-pipeline-ci

Microsoft FTE-only workflow for validating setup, queueing, autonomously waiting for, and stabilizing PowerToys UI Test Automation through an existing Azure CLI session and Azure DevOps REST APIs. Use after local VM suites pass, when asked to run UITests CI, perform a setup preflight/readiness check, diagnose repeated az login prompts or 401/403 permission failures, reuse a successful build, inspect recordings/artifacts, or manage the three-run limit. Includes an agent-owned foreground completion waiter. Keywords: FTE, az, Azure CLI, Azure DevOps, pipeline, UI Test Automation, UITests CI, buildNow, specificBuildId, uiTestModules, CI flake.

io.github.tabler/tabler/build-pipeline

Understand or repair the Tabler asset pipeline — `core/dist`, `tmp-assets/`, the generated `public/` directories, the `copy-assets` Astro integration, `build-css.ts`, the vite/terser JS builds and the turbo dev graph. Use when assets are missing, stale, duplicated or growing between builds, when a watcher's output disappears after a restart, when a page 404s on `/dist/css/tabler.css`, and before editing anything under `.build/`, a package's asset manifest in `astro.config.mjs`, or the dev/build scripts.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存。

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。

io.github.affaan-m/ECC/orch-pipeline

Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly. Not usually invoked directly; it applies when an orch-* skill delegates its gated Research-Plan-TDD-Review-Commit pipeline.

io.github.affaan-m/ECC/ralphinho-rfc-pipeline

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration. Use when running RFC-driven multi-agent execution with quality gates and a merge queue.

io.github.mukul975/Anthropic-Cybersecurity-Skills/integrating-dast-with-owasp-zap-in-pipeline

Integrates OWASP ZAP (Zed Attack Proxy) into GitHub Actions and GitLab CI pipelines, covering baseline, full, and API scan configuration against running applications, ZAP finding interpretation, scan policy tuning, and DAST quality gates. Use when testing running web apps or REST/GraphQL APIs for XSS, SQLi, CSRF, and auth/authz flaws, or when SAST alone is insufficient and runtime DAST is required for compliance or release gating.

io.github.microsoft/vscode/azure-pipelines

Use when validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.

io.github.mukul975/Anthropic-Cybersecurity-Skills/testing-prompt-injection-in-rag-pipelines

Probe RAG applications for prompt injection via poisoned retrieved context and embedding manipulation.

io.github.PostHog/posthog/debugging-signals-pipeline

Debug the signals pipeline locally end-to-end. Covers emitting test signals from fixtures, monitoring Temporal workflows via the REST API, reading sandbox agent logs from object storage, inspecting Docker sandbox containers, and diagnosing common failures (stale ClickHouse embeddings, agentsh network denials, inactivity timeouts). Use when a signal isn't reaching the inbox, a signal-report-summary workflow fails, or a sandbox task run times out.

io.github.affaan-m/ECC/recsys-pipeline-architect

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.

io.github.jeremylongshore/claude-code-plugins-plus-skills/orchestrating-deployment-pipelines

Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".

io.github.wshobson/agents/deployment-pipeline-design

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.

io.github.ComposioHQ/awesome-codex-skills/deploy-pipeline

Run end-to-end deploy pipelines across Stripe, Supabase, and Vercel using the Composio CLI. Promote Stripe products, push Supabase migrations, ship Vercel deployments, and verify with post-deploy checks — all from one script.

io.github.sickn33/antigravity-awesome-skills/deployment-pipeline-design

Architecture patterns for multi-stage CI/CD pipelines with approval gates and deployment strategies.

io.github.1bananachicken/MaaNTE/python-action-guide

MaaNTE Python 自定义动作（CustomAction）编写指南。覆盖 agent/custom/action/ 下的 Python 代码的架构、注册、命名、maafocus 用户消息、日志、Controller API、Pipeline 集成、错误处理等编码规范和模式参考。在编写、修改或审查 Python 自定义动作，或需要了解 agent 项目结构与 MaaFramework Python 绑定集成方式时使用。

io.github.garrytan/gstack/autoplan

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

io.github.supabase/supabase/ask-the-docs

Answer questions about the Supabase docs app (apps/docs) using documented architecture, build pipeline, and review-pattern notes, and apply feature-design principles (codebase reuse, coding minimalism) when proposing or critiquing changes. Use when the user asks "how does X work in the docs app?", "where does Y live?", "is this approach OK for the docs app?", or before writing non-trivial changes under apps/docs/ — especially anything touching the MDX pipeline, markdown generation, content components, federated docs, or contributor-facing authoring patterns. Can answer architecture questions with Mermaid diagrams when helpful.

io.github.K-Dense-AI/scientific-agent-skills/nextflow

Build, run, and debug Nextflow data pipelines and nf-core workflows end to end. Use whenever the user mentions Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets, or wants to run a community pipeline (e.g. nf-core/rnaseq, nf-core/sarek), write or test a module/subworkflow with nf-test, configure executors/containers (Docker, Singularity/Apptainer, Conda, Wave), scale a workflow to HPC/SLURM or cloud (AWS Batch, Google Batch, Azure, Kubernetes), or debug a failed/-resume run. Make sure to use this skill for any reproducible scientific/bioinformatics workflow work even if the user does not say the word "Nextflow", and for authoring nf-core-compliant pipelines, modules, configs, and linting.

io.github.slopus/happy/release

Release pipeline for CLI, mobile, web, and server. Guides through version bumping, building, testing, publishing, and deploying. Replaces the old interactive release-it flow with a Claude Code-native experience. Use when user types /release or asks to release, publish, deploy, or ship any component.

io.github.bentoml/BentoML/bentoml-deploy-scriptgen

Generate a standalone, committable production deploy-script bundle (deploy/deploy.py + one config.yml — overrides only — from which the Kubernetes manifests are rendered) that builds, containerizes, pushes, deploys, and verifies a BentoML service without any agent involved — runnable from a terminal or CI/CD. Use when the user says things like "generate a deployment script", "deploy from CI/CD", "set up a production deployment pipeline", "deploy without the agent", "give me a script I can commit to deploy this", or "automate my BentoML deploys". Complements the interactive skills: bentoml-containerize, bentoml-k8s-deploy, and bentoml-ec2-deploy do a one-off deploy with you in the loop; this skill emits scripts that repeat it forever. Kubernetes and EC2 targets.

io.github.github/awesome-copilot/gem-devops-guidelines

Design or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows. Use for DevOps, platform, container, pipeline, or release tasks.

io.github.affaan-m/ECC/lead-intelligence

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.