Danielmiessler Personal AI Infrastructure Migrate

Migrate — external-content intake and classification

🚨 MANDATORY: Voice Notification

curl -s -X POST http://localhost:31337/notify \
  -H "Content-Type: application/json" \
  -d '{"message": "Starting the migration. Scanning source and classifying chunks."}' \
  > /dev/null 2>&1 &

What this skill does

Migrates content into the PAI structure from external sources. Unlike /interview (which asks the user questions to fill gaps), /migrate already has the content — it just needs to classify each chunk and route it to the right PAI destination.

Sources supported in V1

• Files: .md, .markdown, .txt (single file or directory recursion)
• Stdin: piped content or pasted directly
• Other PAI installs: point at their USER/TELOS/ or MEMORY/KNOWLEDGE/ directories
• Agent-harness rule files: CLAUDE.md, .cursorrules, OpenAI Custom Instructions export
• Exports: Obsidian vaults (markdown), Notion exports (markdown), Apple Notes exports (.txt), raw journal dumps

What it classifies chunks into

Workflow

Phase 1 — Identify the source

Ask the user what he wants to migrate:

• "Paste the content here and I'll work from stdin"
• "Point me at a file path"
• "Point me at a directory and I'll scan everything inside"
• "I have a Cursor rules file at ~/Projects/X/.cursorrules"
• "My old PAI install has TELOS at ~/old-claude/TELOS/"

Collect the source path. If content is pasted, write it to a temp file first.

Phase 2 — Scan

Run the scanner:

bun ~/.claude/PAI/TOOLS/MigrateScan.ts --source <path>
# or
echo "$CONTENT" | bun ~/.claude/PAI/TOOLS/MigrateScan.ts --stdin

Scanner output includes:

• Total chunks found
• Proposed routing table (how many chunks per target)
• Average classification confidence
• Count of UNCLEAR chunks
• Count of low-confidence (<40%) chunks

Phase 3 — Present routing summary

Show the user the routing proposal in a scannable format:

Found 47 chunks from 3 files. Proposed routing:

  📂 TELOS/GOALS.md              12 chunks  (78% avg confidence)
  📂 TELOS/WISDOM.md              8 chunks  (65% avg confidence)
  📂 TELOS/BELIEFS.md             6 chunks  (71% avg confidence)
  📂 MEMORY/KNOWLEDGE/Ideas      15 chunks  (52% avg confidence)
  🧠 memory/feedback              4 chunks  (85% avg confidence)
  ❓ UNCLEAR                      2 chunks  (needs your call)

Options:
  - Approve everything trusted (confidence ≥60%)?
  - Walk through the low-confidence and UNCLEAR chunks one by one?
  - Review specific categories?
  - Review everything?

Phase 4 — Approval loop

Based on the user's preference:

Fast path (he says "approve all trusted"):

bun ~/.claude/PAI/TOOLS/MigrateApprove.ts --approve-all

Commits everything non-UNCLEAR. Then walk through UNCLEAR chunks conversationally.

Category path (he says "approve goals and wisdom, skip knowledge"):

bun ~/.claude/PAI/TOOLS/MigrateApprove.ts --approve-target TELOS/GOALS.md
bun ~/.claude/PAI/TOOLS/MigrateApprove.ts --approve-target TELOS/WISDOM.md

Walk-through path (he wants careful review):

bun ~/.claude/PAI/TOOLS/MigrateApprove.ts --review

Show each pending chunk. For each:

• Show preview + proposed target + confidence + alternatives
• Ask: approve / modify target / reject
• Commit decision

Phase 5 — Handle UNCLEAR chunks

UNCLEAR chunks are ones where no classification rule matched strongly. For each:

• Display full content (not just preview)
• Ask the user: "This one's unclear — what is it? Could be X, Y, Z, or maybe Knowledge/Ideas as a catch-all?"
• the user chooses → commit via --modify <id> --target <chosen>

Phase 6 — Completion summary

After approval pass:

• Report total chunks committed, per-target count
• Flag any remaining UNCLEAR
• Recommend next step: run /interview to interview around anything the migration left sparse

Rules

• Every commit carries provenance. The committed content includes an HTML comment noting source file + section + timestamp. Nothing gets dropped into TELOS without attribution.
• Never bulk-approve UNCLEAR. Those require the user's explicit routing.
• Confidence thresholds: ≥70% = trusted (auto-approve eligible). 40-70% = medium (show for confirmation). <40% = low (walk-through required).
• Ask before touching identity. PRINCIPAL_IDENTITY.md commits always prompt — that file is load-bearing.
• Don't duplicate. If the same content already exists in the target (substring match), flag it and ask before appending.
• Respect private paths. Never migrate content into IDEAL_STATE/ without the user's per-dimension call (Decision #3: IDEAL_STATE is fully private and curated).
• Feedback memories get new files. Each memory/feedback chunk becomes its own feedback_migrated_<slug>_<id>.md file — not appended to an existing memory.
• Knowledge gets new files too. Each MEMORY/KNOWLEDGE/* chunk becomes a new typed note with source metadata.

Examples

User: /migrate ~/old-claude/TELOS/

the DA scans the old TELOS directory, classifies every chunk, presents the routing summary, offers fast-path vs. walk-through approval.

User: /migrate (then pastes CLAUDE.md content)

the DA reads from stdin, classifies the rules as memory/feedback (most) plus maybe PRINCIPAL_IDENTITY (if identity lines are mixed in), walks through approval.

User: "migrate my Cursor rules at ~/.cursor/rules"

the DA scans the rules dir, surfaces likely-feedback classifications, walks through with extra care (Cursor rules often have tool-specific stuff that doesn't translate to PAI).

User: "import the stuff I dumped in /tmp/journal.md"

the DA scans the journal, expects a lot of UNCLEAR + WISDOM, walks through each section.

Related

• /interview — fills gaps by asking questions (not by intaking existing content)
• /Telos Update workflow — edit a single TELOS file directly
• /Knowledge — manage the Knowledge Archive
• /_PROFILE — manage PRINCIPAL_IDENTITY

Troubleshooting

• Low average confidence (<40%): the source is probably genre-mismatched (e.g., code comments, logs, raw data). Consider pre-filtering to remove non-prose chunks before scanning.
• Everything goes to UNCLEAR: the source probably has no recognizable PAI-taxonomy patterns. Either add the content manually via /Telos or write it as general Knowledge notes.
• Duplicate content warnings: the scanner doesn't dedupe against existing files yet. Run --dry-run first to preview before committing.

Source: danielmiessler/Personal_AI_Infrastructure — distributed by TomeVault.