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Deploy the portfolio chat agent Lambda function to AWS. Use when the user asks to deploy, redeploy, push to Lambda, update the chat agent, or after updating context files or lambda_function.py. Rebuilds the knowledge base, packages dependencies, and deploys to AWS Lambda.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Git commit workflow with enforced conventional commit style. Use when Claude needs to stage and commit changes, craft commit messages, or the user asks to commit, make a commit, or save their work. Ensures consistent commit message format, proper scoping, and atomic commits across the project.
AI-powered code quality analysis for Python, Markdown, and Mermaid diagrams. Use this skill when: (1) reviewing code for quality issues, (2) checking Python files for PEP8 violations, unused code, missing type hints, docstring problems, complexity issues, or potential runtime errors, (3) validating Markdown documentation for broken links, heading structure, or formatting issues, (4) validating Mermaid diagram syntax, (5) the user asks for a "code review" or "quality check", (6) analyzing code snippets pasted in conversation, or (7) suggesting and applying fixes for code quality issues.
Orchestrate the full GitHub-issues-driven development lifecycle. 7-phase pipeline from brainstorm through PR with state tracking and cross-conversation resume. Use when user says "dev cycle", "development workflow", "full development pipeline", or invokes /dev-cycle.
Production Python coding standards with automatic version detection (3.10-3.13). Use when writing, reviewing, or refactoring Python to ensure adherence to modern type syntax, LBYL exception handling, pathlib operations, ABC-based interfaces, and production-tested patterns. Not Dagster-specific - applies to any Python project.
Generate or update the `.claude/docs/project.md` file that gives Claude project-specific context. Use this skill when the user asks to create, update, regenerate, or refresh project context, or says things like "update project.md", "generate project context", "this repo needs a project.md", or "Claude doesn't know about this project". Also trigger when onboarding Claude to a new repository for the first time.
Rewrites the prose sections of wiki pages in-place. Reads source files to understand current context, then updates only the content inside <!-- claude:prose --> ... <!-- claude:prose:end --> markers. Never touches <!-- generated:start --> ... <!-- generated:end --> blocks. Supports targeting a single page with /update-wiki {PageName}.
SOC 職業分類に基づく
| name | deploy |
| description | Deploy the portfolio chat agent Lambda function to AWS. Use when the user asks to deploy, redeploy, push to Lambda, update the chat agent, or after updating context files or lambda_function.py. Rebuilds the knowledge base, packages dependencies, and deploys to AWS Lambda. |
Rebuild and deploy the portfolio chat agent Lambda function to AWS.
WebContent/context/lambda/lambda_function.pylambda/knowledge_base.json from context filespackage/ directory and deployment.zippython scripts/build_knowledge_base.py
Verify output shows expected project count and no errors.
cd lambda
rm -rf package/ deployment.zip
pip install -r requirements.txt -t package/ \
--platform manylinux2014_x86_64 \
--only-binary=:all: \
--implementation cp \
--python-version 3.12
The --platform and --only-binary flags ensure compiled extensions are built for Amazon Linux, not macOS.
cp lambda_function.py knowledge_base.json package/
cd package && zip -r ../deployment.zip . && cd ..
aws lambda update-function-code \
--function-name portfolio-chat-agent \
--zip-file fileb://lambda/deployment.zip
Run this from the repository root so the fileb:// path resolves correctly.
Check that the response includes:
"LastUpdateStatus": "InProgress" or "Successful""FunctionName": "portfolio-chat-agent"CodeSha256 value| Setting | Value |
|---|---|
| Function name | portfolio-chat-agent |
| Runtime | python3.12 |
| Region | us-west-1 |
| Memory | 256 MB |
| Timeout | 30 seconds |
| Architecture | x86_64 |
lambda_function.py changed, rebuilding ensures the knowledge base is current.fileb:// path in the deploy command is relative to the working directory.| Problem | Solution |
|---|---|
No module named 'pydantic_core._pydantic_core' | Missing --platform flag during pip install — dependencies were built for macOS instead of Linux |
Unable to load paramfile fileb:// | Wrong working directory — run the deploy command from the repository root |
ResourceNotFoundException | Lambda function doesn't exist yet — use aws lambda create-function (see docs/plans/chat-agent/aws-setup.md Step 7) |
CodeStorageExceededException | Deployment zip too large — check for unnecessary dependencies in requirements.txt |