agentic-pipeline-mcp

Change or review the Python agentic_ai subsystem or Codex-facing MCP integration for this repository. Use when work touches agentic_ai/, the LangGraph pipeline, the mcp_server package, .mcp.json, or cloud adapters for the agentic pipeline.

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Repository: hoangsonww/AI-Gov-Content-Curator
Last source activity: March 15, 2026 at 21:16
Detected SKILL.md language: English
Stars: 30
Forks: 18

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SKILL.md

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name	agentic-pipeline-mcp
description	Change or review the Python agentic_ai subsystem or Codex-facing MCP integration for this repository. Use when work touches agentic_ai/, the LangGraph pipeline, the mcp_server package, .mcp.json, or cloud adapters for the agentic pipeline.

Agentic Pipeline MCP

Treat agentic_ai/ as a separate Python project.

Follow This Workflow

Read mcp_server/app.py, mcp_server/tools/, mcp_server/resources/, mcp_server/prompts/, config/settings.py, and core/pipeline.py together.
Use the current MCP server implementation as the source of truth for tools and resources.
Reconcile README claims, Make targets, and health-check assumptions before changing runtime guidance.
Only run local MCP or pipeline commands when the Python environment is known ready.

Use The References

Read references/pipeline-map.md for runtime paths and known drift.

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monorepo-workflows

Use this skill when working anywhere in the SynthoraAI monorepo and you need the repository-specific operating model: which service owns what, which commands are canonical, which wrappers are stale, how to choose tests, and which paths are generated or risky to edit.

2026-03-25

drift-audit

Audit this repository for docs-to-code drift, broken paths, stale wrappers, inconsistent environment assumptions, or other mismatches between implementation and operational guidance. Use when Codex needs to verify whether repo docs, scripts, schedules, Dockerfiles, or MCP guidance still match the code.

2026-03-15

agentic-pipeline-mcp

Use this skill when working on the Python agentic_ai subsystem or Claude Code MCP integration for this repository, including the LangGraph pipeline, local MCP server, cloud adapters, and the project .mcp.json configuration.

2026-03-15

View all from this repository

name	agentic-pipeline-mcp
description	Change or review the Python agentic_ai subsystem or Codex-facing MCP integration for this repository. Use when work touches agentic_ai/, the LangGraph pipeline, the mcp_server package, .mcp.json, or cloud adapters for the agentic pipeline.

Agentic Pipeline MCP

Treat agentic_ai/ as a separate Python project.

Follow This Workflow

Read mcp_server/app.py, mcp_server/tools/, mcp_server/resources/, mcp_server/prompts/, config/settings.py, and core/pipeline.py together.
Use the current MCP server implementation as the source of truth for tools and resources.
Reconcile README claims, Make targets, and health-check assumptions before changing runtime guidance.
Only run local MCP or pipeline commands when the Python environment is known ready.

Use The References

Read references/pipeline-map.md for runtime paths and known drift.

agentic-pipeline-mcp

Source facts

Install options

Review the source files

Agentic Pipeline MCP

Follow This Workflow

Use The References

More from this repository

Agentic Pipeline MCP

Follow This Workflow

Use The References

More from this repository