check-prereq-agent-python
Checks prerequisites for building durable AI agents in Python with the Dapr Agents SDK or a Diagrid framework wrapper.
Skill by diagrid-labs
Install
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/check-prereq-agent-python
What's inside
- Skill name
check-prereq-agent-python- Description
- Checks prerequisites for building durable AI agents in Python with the Dapr Agents SDK or a Diagrid framework wrapper. Use for "check prerequisites for Python agents" or "verify Python agent environment".
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (1)
- SKILL.md
SKILL.md (first lines)
# Check Prerequisites for Python Agents ## Overview This skill checks whether all prerequisites are installed for building durable AI agents in Python — either with the native [`dapr-agents`](https://github.com/dapr/dapr-agents) SDK (the Dapr Agents framework, which is Python-only) or with a [`diagrid`](https://pypi.org/project/diagrid/) framework wrapper. Run it only when you ask for it, for example before using the `create-agent-python` skill. It is never run automatically as a pre-step. ## Prerequisites The following must be installed: - [Python](https://www.python.org/downloads/) `>=3.11,<3.14` — the bound both `dapr-agents` and `diagrid` declare - [uv](https://docs.astral.sh/uv/getting-started/installation/) (Astral) - [Pyright LSP Plugin](https://claude.com/plugins/pyright-lsp) - [Docker](https://www.docker.com/products/docker-desktop/) or [Podman](https://podman.io/docs/installation) - [Dapr CLI](https://docs.dapr.io/getting-started/install-dapr-cli/) (version 1.18+) - [dapr-agents](https://pypi.org/project/dapr-agents/) `>=1.0.9`, checked as a local install only (native path only — a `diagrid[<extra>]` project gets it transitively, and either way the project installs it with `uv sync`) - At least one LLM provider available: `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_API_KEY`, or a local Ollama instance on `http://localhost:11434` ## Prerequisite Checks **Run ALL of these checks. Check steps 2–8 in parallel. Track which checks pass and which fail.** ### Step 1: Detect Operating System Read the file at [`../dapr-shared/prereq-detect-os.md`](../dapr-shared/prereq-detect-os.md) and follow those instructions. ### Step 2: Check the Python LSP plugin Read the file at [`../dapr-shared/prereq-check-python-lsp.md`](../dapr-shared/prereq-check-python-lsp.md) and follow those instructions. ### Step 3: Check uv Read the file at [`../dapr-shared/prereq-check-uv.md`](../dapr-shared/prereq-check-uv.md) and follow those instructions. ### Step 4: Check Python SDK version Read the file at [`../dapr-shared/prereq-check-python-sdk.md`](../dapr-shared/prereq-check-python-sdk.md) and follow those instructions, **with this override**: the shared check rejects anything below Python 3.12 because it targets workflow skills. Agent skills accept **3.11 up to but excluding 3.14**. Treat `3.11.x` as **passing**. Fail `3.10.x` and below, and also fail `3.14` and above — neither `dapr-agents` nor `diagrid` resolves there, both declaring `>=3.11,<3.14`. ### Step 5: Check Docker or Podman Read the file at [`../dapr-shared/prereq-check-docker-podman.md`](../dapr-shared/prereq-check-docker-podman.md) and follow those instructions. ### Step 6: Check Dapr CLI Read the file at [`../dapr-shared/prereq-check-dapr-cli.md`](../dapr-shared/prereq-check-dapr-cli.md) and follow those instructions. ### Step 7: Check dapr-agents SDK availability Read the file at [`../dapr-shared/prereq-check-dapr-agents-sdk.md`](../dapr-shared/prereq-check-dapr-agents-sdk.md) and follow those instructions. ### Step 8: Check LLM provider availability Read the file at [`../dapr-shared/prereq-check-llm-provider.md`](../dapr-shared/prereq-check-llm-provider.md) and follow those instructions. ## Show final message After all checks are complete, report the results: - List each check and whether it passed or failed. - For any failed checks, provide the relevant install / configuration link from the Prerequisites section. - If all checks passed, inform the user they can proceed with the `create-agent-python` skill. - If the user mentioned HolmesGPT, warn them that `diagrid[holmesgpt]` cannot be resolved from PyPI (its pins conflict with `diagrid[agent-core]`), so `create-agent-python` does not scaffold it.
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Checks prerequisites for building Dapr Workflow apps in Python.
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Signals
- Stars
- 13
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 17, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/diagrid-labs/dapr-skills
- Website
- diagrid.io
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Shared reference files for the Dapr skills.
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Migrates an existing TypeScript/Node.js app to Dapr incrementally.
SkillAFreshness: A★ 13Claude Code +9 - 0.632score
add-pubsub-python
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Adds Dapr pub/sub to an existing Python FastAPI app.
SkillAFreshness: A★ 13Claude Code +9 - 0.632score
create-workflow-from-diagram
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Creates a Dapr workflow app from a diagram image (PNG, JPG, GIF, WebP) or a BPMN 2.0 file, in Go, Python, .NET, Java or JavaScript, run locally with dapr run.
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Cite this page
check-prereq-agent-python skill. Agent Mart. https://agentmart.dev/skills/diagrid-labs-check-prereq-agent-python (last updated 2026-10-24)