/llmdoc:upgrade

SkillDev tools

Explicit V2 to V3 migration surface. Never suggest this command implicitly.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the /llmdoc:upgrade skill

What this skill tells your AI

The instructions your AI receives, as published by tokenrollai/llmdoc in skills/upgrade/SKILL.md and read by ahel’s review.

Use this command only for an explicit legacy-to-V3 migration.

Do not suggest this command proactively. Do not mention its internals outside this file.

CLI commands below run as npx -y @tokenroll/llmdoc <cmd>.

Authorization

An explicit /llmdoc:upgrade invocation authorizes this run to:

  • rewrite the repository's llmdoc/ surface into the V3 layout
  • create or rewrite llmdoc/meta.json
  • delete obsolete legacy llmdoc docs and state files when their content has been migrated or intentionally dropped
  • write temporary investigation reports under .llmdoc-tmp/investigations/

This command should run against a rollback-safe git state.

Preconditions

  • git status -- llmdoc/ must be clean before the first formal write.
  • Rollback means git checkout -- llmdoc/ plus deleting newly created files, restoring the pre-migration legacy surface; never hand-edit files back.
  • Confirm the legacy surface has a recoverable git backup, and keep the migration isolated so it can be reverted as one change.
  • Run the CLI migration surface directly; do not hand-simulate the deterministic migration logic in prompt text.
  • If validation fails after migration writes and cannot be repaired in-run, roll back the migration write-set before reporting failure.

Workflow

  1. Map the legacy knowledge surface.

    • Use investigator to identify the current legacy structure, surviving durable knowledge, and obsolete material.
  2. Run the deterministic CLI migration or diagnostic path.

    • Call upgrade.
    • Use CLI diagnostics as the primary migration truth for what was transformed, skipped, or rejected.
    • The CLI inventories legacy markers and reports the target V3 shape; it does not move document bodies on its own.
  3. Finalize with recorder.

    • Rebuild or adjust the knowledge surface around the V3 root singleton plus topic docs when the CLI reports follow-up recorder work.
    • Fold still-valid historical conclusions into active architecture and guide docs.
    • Drop obsolete migration-only material instead of preserving it as dead weight.
  4. Validate before reporting success.

    • Seed the ledger with init-state when no llmdoc/meta.json survives the migration; validate cannot pass without a ledger.
    • When a ledger already exists, batch-register migrated docs with adopt <path...>; never hand-edit meta.json or rebuild existing bodies through new.
    • Run validate and repair every failure it reports.
    • Finalize with commit --all -m "<message>".

State Invariants

  • Successful migration initializes V3 baseline state only after validation passes.
  • Per-document fingerprint updates happen only for the migrated or replacement docs that survived.
  • A successful first V3 migration seeds the initial convergence snapshot with source: init; later convergence changes belong only to prune.

Result Contract

  • success: CLI migration completed, recorder follow-up succeeded, and validation passed.
  • no_change: the declared scope was fully verified and no migration write was needed.
  • dry_run: migration diagnostics or a plan was produced without writing llmdoc/; do not advance state.
  • incomplete: evidence was insufficient, user input is required, or normal update/prune is needed; roll back writes and do not advance state.
  • failed: migration failed and writes were rolled back.

Always report:

  • the legacy surfaces consumed
  • the upgrade result
  • the V3 surfaces created
  • the legacy files deleted or intentionally dropped
  • the validate and commit results

Signals

GitHub stars
477
Forks
52
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
upgrade-tokenrollai
Source
github.com/tokenrollai/llmdoc