Flow Next Export Context
Documentsflow-next-export-contextFlow Next Export Context is an Agent Skill for documents published in the gmickel/flow-next repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Export RepoPrompt context to a markdown file for review with an external LLM (ChatGPT, Claude web, etc.). Use when you want Carmack-level review but prefer an external model. Triggers on "export context", "export for external review", "export plan for ChatGPT", "export impl review context", "review with an external model", "export review context".
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/gmickel/flow-next/blob/HEAD/plugins/flow-next/skills/flow-next-export-context/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/flow-next-export-context, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
Export Context Mode
Build RepoPrompt context and export to a markdown file for use with external LLMs (ChatGPT Pro, Claude web, etc.).
Use case: When you want Carmack-level review but prefer to use an external model.
Preamble
CRITICAL: flowctl is BUNDLED — NOT installed globally. which flowctl will fail (expected). Define once; subsequent blocks use $FLOWCTL:
FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl"
[ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl"
Input
Arguments: $ARGUMENTS
Format: <type> <target> [focus areas]
Types:
plan <spec-id>- Export plan review contextimpl- Export implementation review context (current branch)
This skill is phrase-triggered (no slash command) — invoke it by asking in natural language; the host agent parses <type> <target> [focus areas] from the request.
Examples:
- "export context for plan fn-1, focus on security"
- "export impl review context, focus on the auth changes"
Setup
REPO_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
Workflow
Step 1: Determine Type
Parse arguments to determine if this is a plan or impl export.
Step 2: Gather Content
For plan export:
$FLOWCTL show <spec-id> --json
$FLOWCTL cat <spec-id>
For impl export:
git branch --show-current
git log main..HEAD --oneline 2>/dev/null || git log master..HEAD --oneline
git diff main..HEAD --name-only 2>/dev/null || git diff master..HEAD --name-only
Step 3: Setup RepoPrompt
eval "$($FLOWCTL rp setup-review --repo-root "$REPO_ROOT" --summary "<summary based on type>" --create)"
Step 4: Augment Selection
$FLOWCTL rp select-get --window "$W" --tab "$T"
# Add relevant files
$FLOWCTL rp select-add --window "$W" --tab "$T" <files>
Step 5: Build Review Prompt (file composition — no content re-typing)
Path-persistence rule: bash vars do NOT survive across tool calls. Compose a literal unique prompt path in agent context — ${TMPDIR:-/tmp}/flow-export-prompt-<target>-<agent-chosen 4-char suffix>.md — and type it verbatim in every block that references it.
Build the prompt by deterministic composition — the handoff is captured via redirection, never pasted into a heredoc; only the static review criteria (same criteria as plan-review or impl-review) are typed, once, in the quoted heredoc:
PROMPT_FILE="${TMPDIR:-/tmp}/flow-export-prompt-<target>-<suffix>.md" # literal path
# 1. Builder handoff — captured via redirection, never re-typed
$FLOWCTL rp prompt-get --window "$W" --tab "$T" > "$PROMPT_FILE"
# 2. Review criteria (static, quoted heredoc — same criteria block as
# plan-review or impl-review, per the export type)
cat >> "$PROMPT_FILE" << 'EOF'
<review criteria — static block>
EOF
$FLOWCTL rp prompt-set --window "$W" --tab "$T" --message-file "$PROMPT_FILE"
Step 6: Export
OUTPUT_FILE=~/Desktop/review-export-$(date +%Y%m%d-%H%M%S).md
$FLOWCTL rp prompt-export --window "$W" --tab "$T" --out "$OUTPUT_FILE"
open "$OUTPUT_FILE"
Step 7: Inform User
Exported review context to: $OUTPUT_FILE
The file contains:
- Full file tree with selected files marked
- Code maps (signatures/structure)
- Complete file contents
- Review prompt with Carmack-level criteria
Paste into ChatGPT Pro, Claude web, or your preferred LLM.
After receiving feedback, return here to implement fixes.
Note
This skill is for manual external review only. It does not work with Ralph autonomous mode (no receipts, no status updates).