Sponsored by

Find leads on Reddit on auto pilot

Agent skills
orchestrator

Topic: orchestrator

54 skills in this topic.

go-testing Write, review, and improve Go test code for this project. Use whenever generating, reviewing, or modifying Go tests — including when invoked by the Tester agent, the /test prompt, or any test-related request. Covers table-driven tests, subtests, t.Parallel(), test helpers with t.Helper(), error assertions via errors.As/errors.Is, fixture loading from testdata/, httptest servers, env-gated integration tests, mock/fake/spy patterns, and adapter conformance. Do NOT use for benchmarks or performance profiling.
sortie-ai/sortie 26
jira-syntax Use when writing Jira issue descriptions, comments, or work logs. Also use when converting Markdown to Jira wiki markup, when the user says "format for Jira", "Jira markup", "wiki notation", or asks to create, update, or validate Jira ticket content. Handles bug report and feature request templates. Do NOT use for Jira API operations, JQL queries, or workflow transitions.
sortie-ai/sortie 26
managing-adrs Create, update, and validate Architecture Decision Records (ADRs) following MADR 4.0 format. Use when the user mentions ADR, architecture decision, decision record, or asks to document a technical decision. Also use when creating new files in docs/decisions/. Handles numbering, frontmatter, section structure, and README index updates. Do NOT use for general documentation or non-architectural decisions.
sortie-ai/sortie 26
managing-github-issues Create, edit, search, close, and triage GitHub issues for this project using gh CLI. Use when asked to file a bug, request a feature, create a task, report a problem, search the backlog, triage issues, or manage the issue tracker. Also use when the user says "create an issue", "file a bug", "open a ticket", "add to backlog", "search issues", "close issue", or mentions GitHub Issues in any task-management context. Handles label/milestone assignment, duplicate detection, and project board integration. Do NOT use for pull requests (use creating-pr) or changelog entries (use changelog-maintenance).
sortie-ai/sortie 26
agent-orchestrator Open-source, pluggable agentic coding orchestrator. Manages durable coding agents (Claude Code, Codex, OpenCode) through a simple interface — spawn agents, track progress, and let feedback loops like PR reviews and CI failures automatically route to the right agents. Use for fixing bugs, building features, working on GitHub issues, checking status, and managing agent sessions.
ComposioHQ/agent-orchestrator 6,182
aoe Manage AI coding agent sessions via Agent of Empires (aoe)
njbrake/agent-of-empires 1,561
docs-review Review all project documentation against the current codebase and fix inaccuracies. Only modifies documentation files.
njbrake/agent-of-empires 1,561
ao-workflow-runner 多角色 YAML 工作流执行引擎——解析 workflow YAML，加载 agency-agents-zh 角色，按 DAG 顺序执行
jnMetaCode/agency-orchestrator 211
airflow Manages Apache Airflow operations including listing, testing, running, and debugging DAGs, viewing task logs, checking connections and variables, and monitoring system health. Use when working with Airflow DAGs, pipelines, workflows, or tasks, or when the user mentions testing dags, running pipelines, debugging workflows, dag failures, task errors, dag status, pipeline status, list dags, show connections, check variables, or airflow health.
astronomer/agents 295
airflow-adapter Airflow adapter pattern for v2/v3 API compatibility. Use when working with adapters, version detection, or adding new API methods that need to work across Airflow 2.x and 3.x.
astronomer/agents 295
airflow-hitl Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator. Requires Airflow 3.1+. Does not cover AI/LLM calls (see airflow-ai).
astronomer/agents 295
airflow-plugins Build Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use this skill whenever the user wants to create an Airflow plugin, add a custom UI page or nav entry to Airflow, build FastAPI-backed endpoints inside Airflow, serve static assets from a plugin, embed a React app in the Airflow UI, add middleware to the Airflow API server, create custom operator extra links, or call the Airflow REST API from inside a plugin. Also trigger when the user mentions AirflowPlugin, fastapi_apps, external_views, react_apps, plugin registration, or embedding a web app in Airflow 3.1+. If someone is building anything custom inside Airflow 3.1+ that involves Python and a browser-facing interface, this skill almost certainly applies.
astronomer/agents 295
analyzing-data Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.
astronomer/agents 295
annotating-task-lineage Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
astronomer/agents 295
checking-freshness Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.
astronomer/agents 295
cosmos-dbt-core Use when turning a dbt Core project into an Airflow DAG/TaskGroup using Astronomer Cosmos. Does not cover dbt Fusion. Before implementing, verify dbt engine, warehouse, Airflow version, execution environment, DAG vs TaskGroup, and manifest availability.
astronomer/agents 295
cosmos-dbt-fusion Use when running a dbt Fusion project with Astronomer Cosmos. Covers Cosmos 1.11+ configuration for Fusion on Snowflake/Databricks with ExecutionMode.LOCAL. Before implementing, verify dbt engine is Fusion (not Core), warehouse is supported, and local execution is acceptable. Does not cover dbt Core.
astronomer/agents 295
creating-openlineage-extractors Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.
astronomer/agents 295
debugging-dags Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
astronomer/agents 295
deploying-airflow Deploy Airflow DAGs and projects. Use when the user wants to deploy code, push DAGs, set up CI/CD, deploy to production, or asks about deployment strategies for Airflow.
astronomer/agents 295
profiling-tables Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
astronomer/agents 295
setting-up-astro-project Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.
astronomer/agents 295
testing-dags Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
astronomer/agents 295
tracing-downstream-lineage Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.
astronomer/agents 295