framework/core/commands/flowai-epic/SKILL.md
Create structured epic for large features using phased decomposition. Produces documents/tasks/epic-{name}.md with dependency-ordered phases, atomic tasks, explicit boundaries, and per-phase status tracking.
npx skillsauth add korchasa/flowai flowai-epicInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create a structured, decomposed epic in ./documents/tasks/epic-{name}.md for
features too large for a single agent session.
flowai-epic when feature spans >3 files AND requires >2 sessions, OR has >5 phasesflowai-plan for tasks completable within one agent sessionflowai-plan; if it outgrows a single task, upgrade to flowai-epic<step_by_step>
Initialize
todo_write, todowrite) to create a plan based on these steps.Deep Context & Research
documents/requirements.md (SRS) and documents/design.md (SDS) — read them now.Proactive Resolution from AGENTS.md: analyze prompt, codebase, search for gaps.glob, grep, ripgrep, search, webfetch) for unknowns.Draft Spec Header
documents/tasks/epic-{name}.md the following sections:
Decompose into Phases (Chat Only)
Detail Phases
Critique
Refine & Finalize
documents/tasks/epic-{name}.md with accepted improvements.TOTAL STOP
</step_by_step>
---
implements:
- FR-XXX
---
# Epic: {Feature Name}
| Field | Value |
|---------|-----------------------------|
| Status | Draft/Ready/In-Progress/Done |
| Created | YYYY-MM-DD |
| Updated | YYYY-MM-DD |
## Goal
{Why are we building this? Business/user value.}
## Overview
{Current state, why now, relevant context.}
## Non-Goals
<!-- Examples: "No backward compatibility with v1 API", "No UI changes in this phase", "No performance optimization", "No migration of existing data" -->
- {Explicit exclusion 1}
- {Explicit exclusion 2}
## Architecture & Boundaries
### Always (agent autonomy)
- {Things agent can always do}
### Ask First
- {Things requiring user confirmation}
### Never
- {Things agent must never do}
## Definition of Done
- [ ] {Measurable criterion 1}
- [ ] {Measurable criterion 2}
---
## Phase 1: {Name}
**Status:** not-started | **Prerequisites:** none
### Goal
{What this phase achieves.}
### Scope
- {file/component 1}
- {file/component 2}
### Tasks
1. {Atomic, testable task}
2. {Atomic, testable task}
### Verification
- [ ] {Specific check or command}
### Notes
- {Implementation hints, gotchas}
---
## Phase 2: {Name}
...
tools
Delegate a task to another AI IDE's CLI (codex / claude / opencode / cursor-agent) through an isolated-context subagent. Triggers on "delegate to <ide>", "have <ide> do <task>", "execute <task> in <ide>", "offload to <ide>". For one-shot relay or fan-out comparison use `ai-ide-runner` instead.
tools
Run prompts in Claude Code, OpenCode, Cursor, or Codex CLIs from the current session — pick one IDE, fan out across several, or compare models. You are a courier that relays the other runtime's stdout verbatim, do not synthesise your own answer. Use on "run in <ide>", "compare <ide> vs <ide>", "try on <model>", "which IDE handles X better", "run across models".
tools
Recommend which LLM model to use for a task. Use when asked "which model / best LLM for X", "pick a model for this task", or for a model shortlist ranked by live leaderboard evidence (coding, reasoning, agentic, tool-use, price, speed). Live-fetches public leaderboards and ranks models with per-axis rationale and citations.
development
Produce a comprehensive Product Requirements Document (PRD). Use when the user asks to write a PRD or formalize a feature's scope, goals, and success metrics.