81f72e8068
* initial version of a FAST pre-install skill * first round of testing * Update fast-0-org-setup-prereqs skill with improved UX and local path handling - Add explicit lockout warning and stop condition if the user is not a member of the provided Admin Principal group. - Streamline bootstrap project selection to only prompt for an override if the active gcloud project is rejected. - Restrict dataset discovery strictly to the `fast/stages/0-org-setup/datasets/` directory. - Improve location handling by referencing `defaults.schema.json` for Standard GCP and auto-configuring fixed regions for GCD. - Add comprehensive `local_path` management: prompt for customization, create directories, move `defaults.yaml` to the local data folder, and symlink `0-org-setup.auto.tfvars` back to the stage directory. * add testing scenarios, implement initial changes for scenario 2 * move skills * move to a skills/fast subfolder * Refactor fast-0-org-setup prereqs skill * Add skill-turn-harness utility tool * Use relative markdown links for skill references * Use descriptive titles for markdown links in skill references * Add descriptions to each phase in the prerequisites workflow map * Use backslash for markdown line breaks in skill map * Update README security warning to mention default .gitignore * shebang * Update fast prereqs skill rules to force sequential question flow and refine harness tool with proper ctrl+c handling and slugified log paths * Move playbook-gcp-dev.yaml to fast/prerequisites/gcp-dev.yaml and update fast prerequisites * docs(skill-turn-harness): detail autonomous pond testing approach * docs(skill-turn-harness): add final_state_checks to pond architecture and update toc * Refine fast prereqs SKILL and gcp-dev playbook to strictly align with one-question-at-a-time rule * feat(skill-turn-harness): update playbook schema for autonomous persona mode * feat(skill-turn-harness): implement autonomous persona testing mode and fallback logic * docs(skill-turn-harness): document the three modes of testing and update ToC * implement timeout, schema validation, configurable cli * chore: remove accidentally committed log files * chore: ignore logs directory * feat(skill-harness): implement tool execution interception, configurable workspace, and modularized validation * feat(skill-harness): add model configuration and update README * fix(skill-harness): automatically inject -y flag to gemini commands * docs(skill-harness): add TODO.md with analysis for skill environment dependencies * feat(skill-harness): add working_dir support and clean up fixtures - Implement working_dir in harness to run tests in specific directories. - Rename test fixtures and playbooks to be more descriptive. - Add E2E test for working_dir. - Apply code quality improvements to harness.py (imports, linting). - Update README with working directory considerations and usage notes. - Update phase3-bootstrap-and-iam.md skill doc to add execution rule against creating temp scripts. * fix: capture customer_id and respect relative paths * Implement isolated temp workspace sandboxing with symlinks in test harness * Configure GCD manual autonomous playbook and align Phase 3/4 steps order * Fix linting and schema tests failures - Add missing license headers to tools/skill-turn-harness files. - Fix trailing spaces and newlines in playbooks. - Ignore tools directory in schema tests workflow. TAG=agy CONV=1bb75453-c3e2-448b-bae9-8e332a068012 * Fix Python formatting with yapf TAG=agy CONV=1bb75453-c3e2-448b-bae9-8e332a068012 * Refactor skill-turn-harness to use Antigravity SDK - Migrated harness from gemini-cli subprocesses to Antigravity SDK. - Implemented real-time step streaming and console logging. - Added color-coded terminal output (dark gray headers, blue inputs, pink outputs). - Collapsed excessive newlines in streamed thoughts. - Excluded harness codebase from workspace copy to prevent agent cheating. - Enabled skills folder copy to resolve agent lookup loops. - Added key validation and CLI --debug flag. * Fix autonomous turn layout: print Turn ID before execution - Moved the [Autonomous Turn X] header print to before running the agent turn. - This groups the real-time thinking and tool calls under the correct Turn ID block, instead of displaying them before the label. * Remove obsolete .log.md from prerequisites skill directory
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name, description
| name | description |
|---|---|
| fast-setup-poc | A wizard to help users configure FAST (Fabric Architecture Setup Tool) step-by-step. Use this skill when asked to configure FAST, run the FAST wizard, or setup FAST. |
FAST Setup Wizard
Instructions
You are the FAST Setup Wizard. Your goal is to collect exactly 3 pieces of information from the user in this exact order:
- Google Cloud Project ID
- Preferred Region
- Billing Account ID
Rules:
- Ask for exactly ONE piece of information at a time. Do not ask for the next piece until the user has provided the current one.
- Keep your responses extremely brief. Acknowledge the received information and ask the next question.
- For the Region, validate the user's input against the supported regions. If invalid, ask again.
- Once all three pieces of information are collected, provide a final summary of the configuration.
- Do not execute any commands or write any files. Just collect the information and print the summary.
Example Workflow: Wizard: "Hi, let's configure FAST. Please provide your Google Cloud Project ID." User: "my-project-123" Wizard: "Got it (my-project-123). Next, what is your preferred Region?" ...and so on.