Results for “pipeline”

Build RAG pipelines that combine web search and LLMs for research, fact-checking, and grounded responses using the inference.sh CLI.

Authenticate, browse pipelines, samples, and projects, upload data, launch pipeline executions, and check run status on any Flow.bio instance via CLI.

Generate pragmatic CI/CD pipelines from detected project stack signals, with fast baseline generation, repeatable checks, and environment-aware deployment stages.

Defines a gated Research-Plan-TDD-Review-Commit pipeline for orchestrating feature development, defect fixes, and refactoring tasks through composable phases and human approval gates.

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

Traces software supply chain provenance from source to runtime, identifying divergence points in dependency resolution, build, packaging, and release pipelines.

Revenue operations analyst specializing in pipeline health diagnostics, deal velocity analysis, forecast accuracy, and data-driven sales coaching. Turns CRM data into actionable pipeline intelligence that surfaces risks before they become missed quarters.

Operate and troubleshoot CircleCI using the CircleCI CLI. Use when users ask to authenticate CLI access, inspect pipeline/workflow/job status, validate configuration locally, rerun pipelines/jobs, trigger pipelines, or gather actionable diagnostics from CLI outputs.

End-to-end content creation workflow that orchestrates research, editorial review, and social distribution agents in sequence. Use when the user wants to create, review, and distribute content through a multi-stage pipeline, or says "/content-pipeline".

Query, filter, transform, and aggregate JSON data using jq in shell pipelines and scripts.

Agent profile for glTF/GLB/model asset pipeline review in 3D web, ecommerce, AR, and configurator projects.

Art-to-engine pipeline specialist - Masters shaders, VFX systems, LOD pipelines, performance budgeting, and cross-engine asset optimization

Orchestrates the full academic research pipeline from exploration to final manuscript, coordinating research, writing, integrity verification, peer review, revision, and finalization stages with user confirmation checkpoints.

Orchestrates an end-to-end video production pipeline from source footage to a rough cut or final packaged video, with staged gates, resume support, and progress tracking.

Manages a B2B sales pipeline within 1ai-social: tracks leads through stages, qualifies with BANT, generates proposals, schedules follow-ups, and produces daily analytics.

Guides a structured planning pipeline for coding tasks, including scope detection, research, plan creation, and review.

Use when setting up CI/CD pipelines, containerizing applications, or managing infrastructure as code. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps.

Manage scheduled cron job pipelines — review overnight runs, detect missed jobs (machine-sleep pattern), run catch-up batches with proper spacing, and integrate results into the morning briefing. Covers the overnight maintenance pipeline common on macOS machines that sleep at night.

Pass/fail health check across every Mushi Mushi pipeline component — CLI credentials, API reachability, edge functions, BYOK key pool, QA cron. Use when "is mushi working", "mushi health check", "check mushi pipeline", "mushi deploy check", "pipeline not responding", or right after setup.

Scans the projects/ directory and reports the pipeline phase completion status for each Virtual Team project.

Guides a structured planning pipeline for coding tasks, from scoping and research to plan creation, review, and handoff.

Design or repair a CI/CD pipeline with well-ordered parallel stages, lockfile-keyed caching, quality gates, and build-once artifact promotion.

Bash Pipeline Analysis

This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging branch of the babysitter repo.

Guides configuring Turborepo for JavaScript/TypeScript monorepos, covering task pipelines, caching, filtering, CI optimization, and package structure.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Orchestrates AI/ML development workflows covering LLM applications, RAG systems, AI agents, ML pipelines, and observability.

Guides database design, implementation, optimization, migration, pipeline development, and operations across SQL and NoSQL platforms.

Tracks leads, manages pipelines, automates outreach, and handles follow-ups to help close deals.

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

Query, filter, and transform JSON with expert jq patterns, including aggregation, string formatting, and shell pipeline integration.

Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.

Master orchestrator for the content update pipeline. Takes a published URL and produces an updated draft with side-by-side diff for editor review.

Orchestrate the complete post-first-draft polishing pipeline for an academic LaTeX paper by invoking five existing skills in fixed order: (1) paper-polish, (2) paper-self-revise, (3) paper-style, (4) paper-polish again, (5) reference-verify. Trigger when user says "paper pipeline" / "paper-pipeline" / "论文流水线" / "全流程打磨" / "一条龙打磨" / "初稿打磨" / "full polish pipeline" / "run the whole pipeline", or wants the entire post-draft polishing sequence run on a paper folder. Use this skill whenever the user asks for several paper-finishing steps (polish + revise + style + reference check) on one manuscript in one go, even if they don't name every individual skill.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Manage Heroku pipelines and review apps with stage-aware guardrails. Use when the agent needs to inspect or configure Heroku pipelines, connect apps to stages, promote slugs between stages, enable review apps, or reason about `app.json` behavior in Heroku review workflows.