aws-sam-bootstrap
Provides AWS SAM bootstrap patterns: generates `template.yaml` and `samconfig.toml` for new projects via `sam init`, creates SAM templates for existing Lambda/CloudFormation code migration, validates build/package/deploy workflows, and configures local testing with `sam local invoke`. Use when the user asks about SAM projects, `sam init`, `sam deploy`, serverless deployments, or needs to bootstrap/migrate Lambda functions with SAM templates.
What this skill does
# AWS SAM Bootstrap
## Overview
Generates SAM project artifacts for greenfield and migration scenarios. Creates the minimum required files (`template.yaml`, `samconfig.toml`, `events/`), validates with `sam build`, and configures `sam deploy` workflows following AWS SAM conventions.
## When to Use
- User needs to start a new AWS SAM project (`sam init`, `sam deploy`)
- User wants to migrate existing Lambda functions or CloudFormation resources to SAM templates
- User asks about SAM CLI commands (`sam init`, `sam build`, `sam local invoke`, `sam deploy`)
- User needs to create or update `template.yaml` or `samconfig.toml` for serverless deployments
- User wants to configure local testing with `sam local invoke` for Lambda functions
## Instructions
### 1) Classify Scenario
- **New project**: no Lambda structure exists. Run `sam init` to scaffold.
- **Existing project migration**: Lambda/CloudFormation resources exist. Create `template.yaml` manually.
### 2) Select Runtime and Package Type
Use current non-deprecated runtimes. Package type: **Zip** (default) or **Image** (container/native deps).
### 3) Bootstrap New Projects
```bash
sam init
sam build
sam local invoke <LogicalFunctionId> -e events/event.json
sam deploy --guided
```
### 4) Bootstrap Existing Projects
1. Inspect current Lambda handlers, runtime, and dependency layout
2. Create `template.yaml` with `Transform: AWS::Serverless-2016-10-31`
3. Map existing resources to `AWS::Serverless::Function` and related SAM resources
4. Create `samconfig.toml` with deploy defaults and environment overrides
5. Add `events/event.json` payload samples for local invocation
6. Validate with `sam validate` and `sam build` before deploy
### 5) Required Artifacts
```
.
├── template.yaml
├── samconfig.toml
└── events/
└── event.json
```
See reference templates: [examples.md](references/examples.md), [migration-checklist.md](references/migration-checklist.md)
### 6) Validation Checklist
- `sam validate` succeeds
- `sam build` succeeds
- `template.yaml` has correct logical IDs and handlers
- `samconfig.toml` contains deploy parameters for target environments
## Examples
### New SAM Project
```bash
sam init # Interactive scaffold
sam build
sam local invoke HelloFunction -e events/event.json
sam deploy --guided
```
### Migrate Existing Lambda
1. Detect handler/runtime → create `template.yaml` with SAM transform
2. Add `samconfig.toml` with `stack_name`, `capabilities`, `resolve_s3`
3. Add `events/event.json` → validate with `sam build`
Full templates in [references/examples.md](references/examples.md).
## Best Practices
- One deployable function first, then expand; keep migration-first PRs minimal
- Keep `samconfig.toml` committed for deterministic deployments
- Use environment-specific sections (`[default]`, `[prod]`) instead of CLI flags
- Map existing handler paths to SAM conventions during migration
## Constraints and Warnings
- SAM CLI must be installed locally for command execution
- `CAPABILITY_IAM` is required when IAM resources are created
- Container image packaging requires Docker availability
- Existing projects may require refactoring handler paths to match SAM conventions
- `sam deploy --guided` writes local configuration; review before committing
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.