Vault Clarification — Interactive Session

Process steps in order. Do not skip ahead.

Each step's output informs the next. The first-session infrastructure capture in Step 5 gates profile generation downstream.

Resolve the absolute path of this loaded SKILL.md, then set speaker_toolkit_root to the plugin root two directories above the directory containing this file. Never derive it from the consumer working directory. Treat {speaker_toolkit_root} as absolute in every toolkit-owned command; vault paths remain consumer-owned.

Run after vault-ingress has processed talks. Purpose: resolve ambiguities, validate findings, capture intent, and fill in speaker infrastructure config.

The vault lives at ~/.claude/rhetoric-knowledge-vault/ (may be a symlink). Set host_python to the current host's explicit absolute interpreter path (not a PATH lookup). The sole interpreter-bootstrap exception is this one stdlib-only strict-owner read; never parse the database directly:

"{host_python}" "{speaker_toolkit_root}/skills/vault-ingress/scripts/read-tracking-database.py" \
  "~/.claude/rhetoric-knowledge-vault/tracking-database.json"

Use the report's database and SHA-256 to resolve vault_root and the exact non-empty config.python_path. Set python_path to that value, immediately repeat the owner read with "{python_path}" against the resolved {vault_root}/tracking-database.json, and require the database and SHA-256 to match the bootstrap report. The unconfigured host_python is authorized only for that first owner-reader invocation. For missing, changed, or unusable configuration, stop and invoke Skill(skill: "vault-ingress") at Step 1; never fall back to python3 on PATH for another toolkit script.

For every tracking-database change, compose a schema-v1 typed plan and run mutate-tracking-database.py in its default dry-run mode. Review changes, then run the same plan with --apply --expected-sha256 <input_sha256> and re-read the database. Every mutation carries an exact value/record expectation; use {"$missing": true} only when absence is expected. A failed precondition applies nothing. The canonical command and operation contract is in ../vault-ingress/references/schemas-db.md.

Key Files & References

Step 1 — Verify Tracking Schema

Run the vault-ingress owner migration in dry-run mode before reading session state:

"{python_path}" "{speaker_toolkit_root}/skills/vault-ingress/scripts/migrate-tracking-database.py" \
  "{vault_root}/tracking-database.json"

Exit 0 writes one JSON object with from_schema_version, to_schema_version, changed, database_written: false, input_sha256, and record_counts. Continue only for changed: false at database schema v1 with config schema v2. A legacy root or config report requires the owner workflow; invoke Skill(skill: "vault-ingress") with the migration report as handoff context, then finish this clarification run. Exit 2 writes one error object to stdout plus an ERROR: diagnostic to stderr; stop without changing session state.

Every tracking write in Steps 2–8 is current-only. Preserve database schema 1, config schema 2, talk schema 5, and every unrelated record. Stamp confirmed intents with schema 1 and new improvement goals with schema 2. Capture the exact input bytes immediately before each write, reject a changed generation, validate the complete current shape, and use a same-directory atomic replacement. Never turn this authorized writer into an implicit migrator.

Proceed immediately to Step 2.

Step 2 — Rhetoric Clarification

For each surprising, contradictory, or ambiguous observation, ask one topic at a time via AskUserQuestion: intentional vs accidental patterns, invisible context, conflicting signals, and flagged improvement areas. Update summary and DB after each answer. Use the typed mutation protocol above for the DB portion; do not batch answers into one unreviewed write at the end.

Example clarification question:

AskUserQuestion(
  question: "Your talks show a delayed self-introduction pattern — brief bio at slide 3,
  then a fuller re-intro mid-talk. Is this intentional or accidental?",
  options: [
    {label: "Deliberate", description: "I do this on purpose to hook first, credential later"},
    {label: "Accidental", description: "I didn't realize I was doing this"},
    {label: "Context-dependent", description: "Depends on the audience/venue"}
  ]
)

Proceed immediately to Step 3.

Step 3 — Blind Spot Moments

Follow references/blind-spot-moments.md — ask about audience reactions, physical performance, and room context that transcripts cannot capture.

Proceed immediately to Step 4.

Step 4 — Humor Post-Mortem

Follow references/humor-post-mortem.md — walk through detected humor beats, grade effectiveness, capture spontaneous material.

Proceed immediately to Step 5.

Step 5 — Speaker Infrastructure (first session only)

If config.clarification_sessions_completed is already ≥ 1, skip this step and proceed immediately to Step 6.

Otherwise, ask for any empty config fields (speaker_name through publishing_process.*). See references/schemas-config.md for the full field list and questions to ask. Persist each confirmed answer with set_config, expecting the exact value observed by the latest strict read.

Proceed immediately to Step 6.

Step 6 — Structured Intent Capture

Persist each confirmed intent with upsert_confirmed_intent, expecting either the exact existing record for that pattern or {"$missing": true}. Example:

{
  "schema_version": 1,
  "pattern": "delayed_self_introduction",
  "intent": "deliberate",
  "rule": "Use two-phase intro: brief bio at slide 3, full re-intro mid-talk",
  "note": "Speaker confirmed this is intentional — hooks audience before credentialing"
}

See references/schemas-config.md for the full schema.

Proceed immediately to Step 7.

Step 7 — Set Improvement Goals

Close the coaching loop. Review Section 15 of rhetoric-style-summary.md as narrative coaching context, plus any regressed/stalled goals from a prior session, then ask the speaker (via AskUserQuestion, one topic at a time) which 1–2 they want to focus on before the next batch of talks. Coaching only works when the speaker owns the target, so never auto-pick more than they choose.

For each chosen focus area, persist a complete schema-v2 improvement_goals record with upsert_improvement_goal, expecting either the exact existing record or {"$missing": true} — every field, not a subset. A partial record cannot be verified: vault-ingress needs metric to compute current_value, and id/issue/kind to identify and route the goal. Set id (kebab-case), issue, kind, metric, antipattern_id (the exact ID only for an antipattern goal, otherwise null), baseline_value, the speaker's stated target, status: "active", set_date to today, set_by: "vault-clarification", current_value: "", last_checked: null, checked_by: null, verification_state: "pending", verification_reasons: [], supersedes_goal_id: null, and schema_version: 2.

For speaker-chosen antipattern and underuse goals, the baseline is catalog-derived. Read the exact occurrence metric only from a validated schema-v4 or schema-v5 profile whose pattern provenance matches the active catalog and scoring-v5 contract, copy pattern_profile.pattern_baseline unchanged into baseline_provenance.pattern_baseline, and set the lane to pattern_scoring. Raw occurrence rows do not themselves classify a pattern as recurring, underused, or a signature. A schema-v5 derived label may inform the choices only when its exact classification domain is available; schema v4 supplies no derived labels. The speaker must explicitly choose the target. Never parse the numeric baseline or generation identity from Section 15 prose. If no matching non-empty raw-score-comparable current pattern cohort exists, explain that the pattern goal has no verifiable baseline yet and do not create it. pacing uses the separate pacing lane; a catalog release must not invalidate it. other uses independent and must not conceal a catalog-pattern metric.

Run "{python_path}" "{speaker_toolkit_root}/skills/vault-clarification/scripts/goal_generation_provenance.py" before writing the candidate. Send one JSON object on stdin: {"goals": [<candidate-goal-object>], "current_pattern_baseline": <pattern_profile.pattern_baseline-object-or-null>}. Exit 0 writes one JSON object to stdout: {"schema_version": 1, "assessments": [{"goal_id": "<id>", "comparable": <boolean>, "decision": "comparable|needs_rebaseline|unverifiable", "reason_codes": [<stable-code>, ...]}]}. Require exit 0 and one assessment for the candidate. Write the candidate only for "comparable": true; surface decision and reason_codes for a false assessment. Malformed JSON or a contract violation exits 1, writes no stdout, and writes ERROR: <diagnostic> to stderr; stop without writing the candidate. The script owns generation comparability; do not reproduce its fingerprint/schema comparison in prose.

Retire goals the speaker no longer wants with retire_improvement_goal, naming its exact id and expecting the complete current record. That operation changes only status to retired, so legacy fields and fixed provenance survive unchanged; leave achieved goals in place as history. A schema-v1 pattern goal is historical and unverifiable, never a baseline to restamp. If the speaker explicitly chooses to rebaseline one, retire the old record and create a new schema-v2 record whose supersedes_goal_id points to it. This preserves the old fixed yardstick rather than silently overwriting it. Full field list and kind values: references/schemas-config.md Improvement Goals Schema.

A later vault-ingress run verifies these against the fresh baseline — see ../vault-ingress/references/processing-rules.md Improvement Goal Verification.

If Section 15 has no speaker-selected pattern target, or the validated profile has no non-empty matching raw-score-comparable current pattern cohort, say so and skip pattern goal-setting. Proceed to Step 8. Independent pacing goals may still be available.

Proceed immediately to Step 8.

Step 8 — Mark Session Complete

Using the latest strict read, persist config.clarification_sessions_completed + 1 with set_config, expecting the exact prior integer. This counter gates profile generation (vault-profile skill requires >= 1). The owner mutation preserves config.schema_version: 2 and every unrelated field.

Finish here.

Important Notes

• One topic at a time — don't dump all questions at once.
• Update the summary and apply one reviewed typed DB plan after each answer, not in a batch at the end.
• After completing a session, suggest running the vault-profile skill if 10+ talks are processed and the profile hasn't been generated yet.