tokenrollai/llmdoc/upgrade

Claude Code and agent skill by tokenrollai/llmdoc

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Source check pending

Checking that the SKILL.md file is still in the repository.

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

Install

npx vskill@latest install tokenrollai/llmdoc/upgrade

SKILL.md

/llmdoc:upgrade

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.
  1. 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.
  1. 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.
  1. 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

Security

  • Security scanPassed, 93 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
478
Repository forks
54
7-day trend score
31

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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