plugins/flow-next/skills/flow-next-memory-migrate/SKILL.md
Migrate pre-fn-30 legacy flat memory files (`.flow/memory/pitfalls.md`, `conventions.md`, `decisions.md`) into the categorized YAML schema. Triggers on /flow-next:memory-migrate, "migrate memory", "convert legacy memory", "lift pitfalls into categorized schema", "convert old memory format". Optional `mode:autofix` token in arguments runs without questions and accepts mechanical defaults for ambiguous classifications. Optional scope hint after the mode token narrows the migration to a specific legacy file (e.g. `pitfalls.md`).
npx skillsauth add gmickel/gmickel-claude-marketplace flow-next-memory-migrateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Pre-fn-30 flow-next stored memory as three flat markdown files: .flow/memory/pitfalls.md, conventions.md, decisions.md. Each was a sequence of ----delimited segments with ad-hoc headings and no schema. fn-30 introduced the categorized schema (track / category / module / tags / status frontmatter, one entry per file). Existing flat files persisted but became invisible to memory list, memory search, and flow-next-audit because there's no frontmatter to scope or stale-flag.
This skill IS the migration. The host agent (Claude Code / Codex / Droid) reads each legacy entry, applies the mechanical default (track, category) from the source filename, overrides only when the entry's content warrants, and writes a categorized entry via flowctl memory add. Optional autofix mode accepts every mechanical default and marks ambiguous entries as needs-review in the report.
There is no Python classifier subprocess, no codex/copilot dispatch, no fast-model probability scoring. The host agent is already an LLM with full repo context and does the work directly. flowctl provides only thin parsing + persistence plumbing (memory list-legacy --json, existing memory add) — landed by Task 2 of this spec.
Read workflow.md for the full phase-by-phase execution. Read phases.md for the (track, category) decision tree with mechanical baseline + override examples.
CRITICAL: flowctl is BUNDLED — NOT installed globally. which flowctl will fail (expected). Define once; subsequent blocks (here and in workflow.md) use $FLOWCTL:
FLOWCTL="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/flowctl"
[ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl"
Inline skill (no context: fork) — AskUserQuestion must stay reachable across phases. Subagents can't call blocking question tools (Claude Code issues #12890, #34592). Phase 1 (Classify) needs user choice on ambiguous entries in interactive mode; Phase 4 (Cleanup) needs consent before renaming originals. (sync-codex.sh rewrites this to a plain-text numbered prompt in the Codex mirror.)
Parse $ARGUMENTS for the literal token mode:autofix. If present, strip it from the arguments — the remainder is the scope hint (a legacy filename like pitfalls.md to narrow the run, or empty to migrate all).
RAW_ARGS="$ARGUMENTS"
MODE="interactive"
if [[ "$RAW_ARGS" == *"mode:autofix"* ]]; then
MODE="autofix"
# Strip token, collapse whitespace, trim.
SCOPE_HINT=$(printf "%s" "$RAW_ARGS" | sed 's/mode:autofix//' | tr -s ' ' | sed 's/^ //;s/ $//')
else
SCOPE_HINT="$RAW_ARGS"
fi
| Mode | When | Behavior |
|------|------|----------|
| Interactive (default) | User is at the terminal | Ask via blocking-question tool when an entry's content suggests overriding the mechanical default; confirm Phase 4 cleanup; show triage summary before writes |
| Autofix (mode:autofix in arguments) | Ralph or batch usage | No user questions. Apply mechanical defaults for every entry. Override only when the agent has high-confidence evidence from the entry body. Mark genuinely ambiguous entries as needs-review in the report. Default-decline Phase 4 cleanup. Print full report |
(track, category) (e.g. an entry titled "race condition in worker pool" inside pitfalls.md clearly warrants bug/runtime-errors over the mechanical bug/build-errors).needs-review. Genuine "could be A or B" cases take the mechanical default and surface in the report so the user can re-classify later.In autofix mode, skip user questions entirely and apply the rules above.
In interactive mode, follow these principles:
AskUserQuestion (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded). Fall back to numbered options in plain text only if the tool is unreachable or errors. Never silently skip the question.The goal is automated migration with human oversight on judgment calls — not a question for every entry.
This skill runs almost entirely on the main thread. Phase 1's "one entry per tool call" rule means classification iterates serially in the orchestrator — there is no investigation step independent enough to dispatch in parallel. Cross-platform tool naming (Task on Claude Code, spawn_agent on Codex, platform-equivalent on Droid) is documented here only for the rare case where the agent needs to spawn a focused investigation subagent (e.g. resolving an ambiguous override by reading a referenced file): keep such dispatches read-only (Read / Grep / Glob), do not let subagents call flowctl memory add directly, and merge results back on the main thread before Phase 2.
MEMORY_LEGACY_FILES (pitfalls.md, conventions.md, decisions.md at .flow/memory/ root). Any other .md at the memory root is user data — leave it alone..flow/memory/{bug,knowledge}/<category>/*.md). Those are already migrated; re-running on them is a bug..flow/memory/_migrated/<filename>.bak for traceability — never rm. User can git rm later if they want.memory list-legacy). Phase 2 writes via existing flowctl memory add. Mechanical map is documented in phases.md so the agent doesn't need to call a flowctl helper for it.context: fork — blocking-question tools must stay reachable..flow/memory/_migrated/<filename>.bak and skips with an "already migrated" log line.Same pattern as /flow-next:plan and /flow-next:audit — non-blocking notice when .flow/meta.json setup_version lags the plugin version:
if [[ -f .flow/meta.json ]]; then
SETUP_VER=$(jq -r '.setup_version // empty' .flow/meta.json 2>/dev/null)
PLUGIN_JSON="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT}}/.claude-plugin/plugin.json"
PLUGIN_VER=$(jq -r '.version' "$PLUGIN_JSON" 2>/dev/null || echo "unknown")
if [[ -n "$SETUP_VER" && "$PLUGIN_VER" != "unknown" && "$SETUP_VER" != "$PLUGIN_VER" ]]; then
echo "Plugin updated to v${PLUGIN_VER}. Run /flow-next:setup to refresh local scripts (current: v${SETUP_VER})." >&2
fi
fi
Execute the phases in workflow.md in order:
flowctl memory list-legacy --json, check _migrated/ for prior runs, apply scope hint, decide interaction path.(track, category), override only with body-driven evidence. Interactive: ask on ambiguity. Autofix: take mechanical default + log needs-review.flowctl memory add --track <t> --category <c> --title "..." --body-file <tmpfile> per classified entry. Slug uniqueness handled by existing helper..flow/memory/_migrated/<filename>.bak. Autofix: default-decline + surface as recommendation. On first cleanup, write .flow/memory/_migrated/.gitignore containing * (self-ignoring directory pattern). NEVER auto-delete.The full report is the deliverable — print it as markdown to stdout. Do not summarize internally and emit a one-liner.
Report structure (see workflow.md §3 for full schema):
Memory Migration Summary
========================
Legacy files processed: <N> (skipped: <K> already migrated)
Entries migrated: <M>
Overrides (mechanical → agent-decided): <P>
Needs review (ambiguous, took mechanical default): <Q>
Then per-entry detail (id, source filename, mechanical default, final classification, override rationale if any). For needs-review entries: why the agent couldn't decide.
Autofix mode splits actions into Applied (writes succeeded) and Recommended (writes failed — e.g. permission denied, schema validation failed). The structure is the same; only the bucket differs. Phase 4 cleanup is always Recommended in autofix.
data-ai
Render a cognitive-aid PR body from flow-next state and open via gh. Triggers on /flow-next:make-pr with optional spec id and flags (--draft, --ready, --no-mermaid, --base <ref>, --memory, --dry-run). Auto-detects spec from current branch when no id given. NOT Ralph-blocked — autonomous loops can surface a draft PR for human review.
data-ai
Render a cognitive-aid PR body from flow-next state and open via gh. Triggers on /flow-next:make-pr with optional spec id and flags (--draft, --ready, --no-mermaid, --base <ref>, --memory, --dry-run). Auto-detects spec from current branch when no id given. NOT Ralph-blocked — autonomous loops can surface a draft PR for human review.
testing
Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision).
testing
Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision).