
flow-next-plan
by gmickel
Claude Code plugins for reliable AI coding. Flow-Next: plan-first workflows, Ralph autonomous mode (overnight coding with fresh context), multi-model review gates via RepoPrompt/Codex, re-anchoring to prevent drift, receipt-based gating.
SKILL.md
name: flow-next-plan description: Create structured build plans from feature requests or Flow IDs. Use when planning features or designing implementation. Triggers on /flow-next:plan with text descriptions or Flow IDs (fn-1-abc, fn-1-abc.2, or legacy fn-1, fn-1.2).
Flow plan
Turn a rough idea into an epic with tasks in .flow/. This skill does not write code.
Follow this skill and linked workflows exactly. Deviations cause drift, bad gates, retries, and user frustration.
IMPORTANT: This plugin uses .flow/ for ALL task tracking. Do NOT use markdown TODOs, plan files, TodoWrite, or other tracking methods. All task state must be read and written via flowctl.
CRITICAL: flowctl is BUNDLED — NOT installed globally. which flowctl will fail (expected). Always use:
FLOWCTL="${CLAUDE_PLUGIN_ROOT}/scripts/flowctl"
$FLOWCTL <command>
Pre-check: Local setup version
If .flow/meta.json exists and has setup_version, compare to plugin version:
SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null)
PLUGIN_VER=$(jq -r '.version' "${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json")
if [[ -n "$SETUP_VER" ]]; then
[[ "$SETUP_VER" = "$PLUGIN_VER" ]] || echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})."
fi
Continue regardless (non-blocking).
Role: product-minded planner with strong repo awareness.
Goal: produce an epic with tasks that match existing conventions and reuse points.
Task size: every task must fit one /flow-next:work iteration (~100k tokens max). If it won't, split it.
The Golden Rule: No Implementation Code
Plans are specs, not implementations. Do NOT write the code that will be implemented.
Code IS allowed:
- Signatures/interfaces (what, not how):
function validate(input: string): Result - Patterns from this repo (with file:line ref): "Follow pattern at
src/auth.ts:42" - Recent/surprising APIs (from docs-scout): "React 19 changed X — use
useOptimisticinstead" - Non-obvious gotchas (from practice-scout): "Must call
cleanup()or memory leaks"
Code is FORBIDDEN:
- Complete function implementations
- Full class/module bodies
- "Here's what you'll write" blocks
- Copy-paste ready snippets (>10 lines)
Why: Implementation happens in /flow-next:work with fresh context. Writing it here wastes tokens in planning, review, AND implementation — then causes drift when the implementer does it differently anyway.
Input
Full request: $ARGUMENTS
Accepts:
- Feature/bug description in natural language
- Flow epic ID
fn-N-xxx(e.g.,fn-1-abc) or legacyfn-Nto refine existing epic - Flow task ID
fn-N-xxx.M(e.g.,fn-1-abc.2) or legacyfn-N.Mto refine specific task - Chained instructions like "then review with /flow-next:plan-review"
Examples:
/flow-next:plan Add OAuth login for users/flow-next:plan fn-1-abc/flow-next:plan fn-1(legacy format still supported)/flow-next:plan fn-1-abc then review via /flow-next:plan-review
If empty, ask: "What should I plan? Give me the feature or bug in 1-5 sentences."
FIRST: Parse Options or Ask Questions
Check configured backend:
REVIEW_BACKEND=$($FLOWCTL review-backend)
Returns: ASK (not configured), or rp/codex/none (configured).
Option Parsing (skip questions if found in arguments)
Parse the arguments for these patterns. If found, use them and skip questions:
Research approach:
--research=rpor--research rpor "use rp" or "context-scout" or "use repoprompt" → context-scout (errors at runtime if rp-cli missing)--research=grepor--research grepor "use grep" or "repo-scout" or "fast" → repo-scout
Review mode:
--review=codexor "review with codex" or "codex review" or "use codex" → Codex CLI (GPT 5.2 High)--review=rpor "review with rp" or "rp chat" or "repoprompt review" → RepoPrompt chat (viaflowctl rp chat-send)--review=exportor "export review" or "external llm" → export for external LLM--review=noneor--no-reviewor "no review" or "skip review" → no review
If options NOT found in arguments
Plan depth (parse from args or ask):
--depth=shortor "quick" or "minimal" → SHORT--depth=standardor "normal" → STANDARD--depth=deepor "comprehensive" or "detailed" → DEEP- Default: SHORT (simpler is better)
If REVIEW_BACKEND is rp, codex, or none (already configured): Only ask research question. Show override hint:
Quick setup: Use RepoPrompt for deeper context?
a) Yes, context-scout (slower, thorough)
b) No, repo-scout (faster)
(Reply: "a", "b", or just tell me)
(Tip: --depth=short|standard|deep, --review=rp|codex|none)
If REVIEW_BACKEND is ASK (not configured): Ask all questions (do NOT use AskUserQuestion tool):
Quick setup before planning:
1. **Plan depth** — How detailed?
a) Short — problem, acceptance, key context only
b) Standard (default) — + approach, risks, test notes
c) Deep — + phases, alternatives, rollout plan
2. **Research** — Use RepoPrompt for deeper context?
a) Yes, context-scout (slower, thorough)
b) No, repo-scout (faster)
3. **Review** — Run Carmack-level review after?
a) Codex CLI
b) RepoPrompt
c) Export for external LLM
d) None (configure later)
(Reply: "1a 2b 3d", or just tell me naturally)
Wait for response. Parse naturally — user may reply terse ("1a 2b") or ramble via voice.
Defaults when empty/ambiguous:
- Depth =
standard(balanced detail) - Research =
grep(repo-scout) - Review = configured backend if set, else
none
Workflow
Read steps.md and follow each step in order. The steps include running research subagents in parallel via the Task tool. If user chose review:
- Option 2a: run
/flow-next:plan-reviewafter Step 4, fix issues until it passes - Option 2b: run
/flow-next:plan-reviewwith export mode after Step 4
Output
All plans go into .flow/:
- Epic:
.flow/epics/fn-N-xxx.json+.flow/specs/fn-N-xxx.md - Tasks:
.flow/tasks/fn-N-xxx.M.json+.flow/tasks/fn-N-xxx.M.md
Never write plan files outside .flow/. Never use TodoWrite for task tracking.
Output rules
- Only create/update epics and tasks via flowctl
- No code changes
- No plan files outside
.flow/
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon


