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quick-plan
Enter planning mode with AI SDLC standards awareness
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。
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Enter planning mode with AI SDLC standards awareness
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。
SOC 職業分類に基づく
Unified orchestrator for all development tasks. ALWAYS execute when invoked — never skip for 'straightforward' tasks. Phases adapt based on detected task characteristics rather than predetermined types. Use for any development work that modifies code.
Internal engine for managing project documentation and technical standards in .agyflow/docs/. Handles file operations, INDEX.md generation, and AGENTS.md integration. Invoked by flow-init, standards-update, and standards-discover skills.
Initialize AI SDLC framework with intelligent project analysis and documentation generation
Orchestrates the complete migration workflow from current state analysis through implementation to compatibility verification. Handles technology migrations, platform changes, and architecture pattern transitions with adaptive risk assessment, incremental execution, and rollback planning. Use when migrating technologies, platforms, or architecture patterns.
Orchestrates performance optimization workflows using static code analysis to identify bottlenecks (N+1 queries, missing indexes, O(n^2) algorithms, blocking I/O, memory leaks). Accepts optional user-provided profiling data. Reuses standard specification, planning, implementation, and verification phases.
Interactive product/feature design orchestrator. Transforms fuzzy ideas into structured product briefs through collaborative exploration, iterative refinement, and visual prototyping. Adaptive phases detect design complexity and adjust depth.
| name | quick-plan |
| description | Enter planning mode with AI SDLC standards awareness |
Enter Google Antigravity CLI's planning mode for a task, with automatic discovery of project standards from .agyflow/docs/.
/agyflow:quick-plan [task description]
/agyflow:quick-plan "Add user authentication with email/password"
/agyflow:quick-plan "Refactor the payment processing module"
/agyflow:quick-plan
Get the task description:
"What would you like to plan? Please describe the task or feature."
Create a lightweight task directory for artifact anchoring.
YYYY-MM-DD-kebab-name2026-05-28-add-api-retry-logic, "Refactor the payment processing module" → 2026-05-28-refactor-payment-module.agyflow/tasks/quick-plan/YYYY-MM-DD-task-name/analysis/ subdirectory inside ittask.yml with initial state using the template src/templates/quick-plan-task.yml.CRITICAL: This step MUST complete before calling Plan Agent.
Check if .agyflow/docs/INDEX.md exists
Read INDEX.md to understand available standards and documentation
Identify applicable standards based on:
READ the actual standard files using the Read tool — reading INDEX.md alone is NOT sufficient
Summarize key guidelines from each standard file read — these will carry into plan mode as context
Update task.yml: Add paths of standards read to standards_applied list
After standards discovery, write analysis/findings.md in the task directory:
# Task Analysis
## Context
[What was analyzed to inform the plan — codebase areas explored, existing patterns found]
## Key Decisions
[Architectural or implementation decisions made during planning]
## Standards Referenced
- [standard file]: [key guideline applied]
Use the Plan agent to trigger Google Antigravity CLI's builtin planning mode.
Standards context from Step 2 MUST actively inform all plan mode phases:
The planning mode will:
BLOCKING: Do NOT call ask user for approval until the plan file contains these sections:
"## Applicable Standards" — list each standard file that was read, with key guidelines extracted from each. If no standards exist, state: "No AI SDLC standards found. Consider running /agyflow:flow-init."
"## Standards Compliance Checklist" — checkboxes for each applicable standard guideline that implementation must follow. Example:
- [ ] API endpoints follow REST naming conventions (from `standards/backend/api.md`)
- [ ] Error responses use standard error format (from `standards/backend/api.md`)
- [ ] New components use TypeScript strict mode (from `standards/frontend/components.md`)
If these sections are missing from the plan file, add them before asking user for approval.
If .agyflow/docs/ does not exist:
Continue with planning mode normally. The "Applicable Standards" section in the plan should note:
No AI SDLC standards found. Consider running `/agyflow:flow-init` to initialize
project documentation and coding standards for better consistency.
task.yml for artifact anchoring.agyflow/docs/ (BEFORE plan mode)analysis/findings.md with task context and key decisionsPlan Agent with standards already loadedtask.yml with status: completed and plan_path after plan approvalOnce the plan is approved:
task.yml: set status: completed, plan_path: [path to plan file], updated: [now]After implementation is complete, verify standards compliance using the checklist from the plan:
This ensures the discovered standards are actually enforced, not just documented.