Development

Keep execution engine changes aligned with stable public types (execution.py + types.py lockstep).

Update src/vibe_piper/execution.py safely in a strict-typed uv repo (keep types/tests/tools in sync).

Manage DAG execution lifecycles including start, stop, pause, resume, and cleanup. Activate on 'execution lifecycle', 'stop execution', 'abort DAG', 'graceful shutdown', 'kill process'. NOT for cost estimation, DAG building, or skill selection.

Use when working through any task checklist (not just OpenSpec). Complete one task, verify, mark done, then next. No skipping, no adding, no reordering.

Execute tasks from both GitHub issues and Basic Memory artifacts using unified workflow - supports intelligent source detection and dual-channel status management

Use when orchestrating sequential phases in plan execution - executes tasks one-by-one in main worktree using git-spice natural stacking (NO manual upstack commands, NO worktree creation, tasks build on each other)

Verification, drift detection, and snapshot logic for executing-plans

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

Use to execute an implementation plan with automatic sequential/parallel orchestration - handles worktree verification, resume detection, phase dispatch, and quality verification

Use when orchestrating parallel phases in plan execution - creates isolated worktrees for concurrent task execution, installs dependencies, spawns parallel subagents, verifies completion, stacks branches linearly, and cleans up (mandatory for ALL parallel phases including N=1)

Execute a discrete GitHub issue from a detailed plan file (gi_*.md). Use when implementing a specific, well-defined task with an existing implementation plan in doc/plans/issues/. Handles status tracking, verification, and issue lifecycle.

Complete development lifecycle for GitHub/local issues - branch, implement, test, PR, merge with quality gates

Execute a comprehensive AI-driven development workflow with planning, implementation, multi-layer review (Sub-agents + /review + CodeRabbit CLI), automated fixes, and PR creation. Use when implementing new features, performing large refactorings, developing security-critical features, or when the user mentions "AI開発ワークフロー", "AI development workflow", or "計画的に実装".

Execute implementation plans with checkpoints. Use to systematically work through planned tasks with progress tracking.

This skill should be used when executing tasks from ai-state/active/tasks.yaml sequentially. It loads tasks, gathers context, implements features with phase-appropriate testing, updates task status in tasks.yaml, organizes tests into ai-state/regressions/ folders, and logs all operations to operations.log. Use after write-plan creates tasks.yaml or when resuming development work.

Execute approved task specifications sequentially with TDD, comprehensive testing, and validation. This skill should be used for implementing tasks from approved specs with full audit trail.

Execute a single sub-task with context priming. Supports both Linear and Jira backends via progressive disclosure. Use when ready to implement a refined issue, when the user mentions "execute", "implement", or "work on" an issue.

Execute one feature (FEAT-XXX) at a time using docs/forge/ideas/<IDEA_ID>/latest/tasks.md as the source of truth. Creates a short workspace checklist and tracks progress so reruns continue automatically.

Comprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact Verification (physical output inspection), and Functional Verification (runtime testing). Verifies Shannon built production-ready applications across all domains (Frontend, Backend, Database, Mobile, DevOps). Ensures NO MOCKS compliance, cross-platform functionality, and complete integration. Use after: Shannon builds any applic...

Deploy a Vibes app to exe.dev VM hosting. Uses nginx on persistent VMs with SSH automation. Supports client-side multi-tenancy via subdomain-based Fireproof database isolation.

Use when implementing exchange rate functionality - provides complete patterns for fetching BTC/fiat exchange rates from Coinbase API, caching strategies, conversion utilities, and React hooks for displaying rates in UI

Guide for creating exceptions using fastapi-problem that are automatically converted to RFC 9457 Problem Details responses.