Other

Interview

"Evidence-grounded context refresh: reads constitutional files, TELOS, and CURRENT_STATE/IDEAL_STATE dimension files via TelosFreshness, pulls observed data (Oura sleep/HRV, Conduit app-time, work registry, git, expenses via StateEvidence), and drives a peer conversation that opens with claim-vs-evidence contradictions, drafts corrections for ratification, and closes with a ComputeGap-grounded ideal-state review.

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Workflows
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Tools
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References
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Triggers

The Problem

A fresh AI session doesn't know your goals, your projects, or how your thinking has shifted since the last time you talked. You can paste in context manually every time, but it goes stale, and the model has no way to tell which parts are still true. After a few weeks, your TELOS file drifts from reality — sections you've moved past stay current, constraints you've resolved never get updated, and the DA keeps optimizing for a version of you from three months ago.

How This Skill Approaches It

Interview reads seven constitutional files (TELOS, DA_IDENTITY, PRINCIPAL_IDENTITY, PROJECTS, system prompt, PRINCIPAL_TELOS, ARCHITECTURE_SUMMARY) and checks them against staleness thresholds via TelosFreshness. A routing decision runs first: if the scan finds Phase 0 targets with completeness below 80 (DA name still 'LifeOS', identity still 'User', projects still sample rows), it runs Phase0Setup to get the system grounded before doing anything else. For populated installs, it runs ContextCheckin — surfacing the stalest sections by age and driving a focused peer conversation: one entry at a time, per typed ID on structured sections (G3, M0, P2), section-level on prose. Stop signals ('enough', 'later') exit cleanly; every approved edit bumps the freshness timestamp via TelosFreshness.ts so the staleness signal stays accurate. ContextAudit surfaces TBD markers left in files. The whole thing is a context debt payment, not a form fill.

  • Routes to ContextCheckin; Phase0Setup on fresh install
Not for single edits (Telos), bulk intake (Migrate), identity-only." disable-model-invocation: true

In Action

What you say to your DA, and what the Interview skill actually does.

  • You say "/interview"
    Runs InterviewScan.ts to detect whether the system is freshly installed or populated, routes to Phase0Setup (if DA name/identity are still defaults) or ContextCheckin (if the system is live), then surfaces the stalest TELOS sections and drives a focused conversation to update them one at a time.
  • You say "what's stale in my context"
    Runs ContextCheckin via TelosFreshness — reads all seven constitutional files, computes age per section, surfaces the ones past their staleness threshold, and opens a peer conversation about whether each item still holds rather than asking you to restate everything from scratch.

Inside the Skill

The thinking, frameworks, and architecture that distinguish this skill from a generic version of the same task.

What It Does

Interview reads your constitutional files — TELOS, identity, projects, system prompt, architecture — plus the CURRENT_STATE and IDEAL_STATE dimension files, checks their freshness, and confronts stale claims with observed data: Oura sleep/HRV/RHR, Conduit creation-vs-consumption time, the work registry, git cadence, and the expense ledger. The conversation opens with the sharpest claim-vs-evidence contradiction, drafts corrections you ratify, offers to populate the files the machinery can write, and closes with an ideal-state review grounded in the measured gap. On a fresh install it falls back to first-time setup. The 🎤 statusline chip (fed by InterviewDue.ts, daily launchd refresh) says when one is due; wrapping with --mark-done clears the cadence reason, and the skew/staleness reasons clear as their files are actually reviewed.

The Problem

The files that define who you are and what you're working toward drift out of date the moment you stop looking at them. A goal you set in January may be done, dead, or still right — but nobody re-reads the whole TELOS to find out, so the context the system runs on slowly rots. The usual fix is a blank "what's your mission?" prompt, which ignores everything already on file and makes you repeat yourself. This skill reads what's there first, flags only what's gone stale, and asks "still right?" instead of starting from zero.

How It Works

The skill reads the constitutional files via the freshness tooling, scores each section's staleness, and routes to the right workflow — a check-in on a populated system, or first-time setup on a fresh one. Staleness is a priority signal, not a failure flag.

Quick Reference

  • The TELOS is on file. Read it before asking. Generic "what's your mission?" prompts are forbidden when TELOS is populated.
  • Staleness is information, not failure — a 95-day-old Goals section might still be right; the prompt is "still right?", not "you're behind."
  • Per-entry on typed-ID sections (G3, M0, P2…), section-level on prose (Current State, Sparks).
  • Bump on every approved edit: bun ~/.claude/LIFEOS/TOOLS/TelosFreshness.ts --bump <slug>. Without this the staleness signal degrades to noise.
  • Stop signals are sacred. "Enough" / "stop" / "later" exits gracefully. State persists in the file itself.
  • ID-stability rule: G3 stays G3 even when edited or dropped; new entries get the next sequential ID.

Gotchas

  • The current.json day-label trap. USER/HEALTH/current.json labels itself with today's day while its last_night block may carry the newest available sleep record, days older. Quote the evidence cache's latest_sleep_record_day, never the label.
  • Not every health source is live. The evidence panel (StateEvidence.ts) computes per-source liveness at run time — quote its live/dead map, never a remembered one. Claims whose only source is dead can be asked, not checked — say so instead of implying verification.
  • InterviewDue.ts --mark-done at wrap is what silences the 🎤 statusline chip. Skipping it leaves the chip nagging with the interview already done — the cadence clock reads MEMORY/STATE/interview.json, not file mtimes.
  • Migration must run once before TelosCheckin works. A TELOS without YAML frontmatter (no last_updated:) returns fileUpdated: null and every section reads as stale. Run bun ~/.claude/LIFEOS/TOOLS/MigrateTelosFreshness.ts once; idempotent and content-preserving (verifies sha256 of stripped content).
  • The slug is normalized: "Current State" → current_state, "Wrong (Things I've been wrong about)" → wrong, "2036 — A Day in the Life…" → 2036. Always run heading text through sectionSlug() from TelosFreshness.ts.
  • Pulse caches freshness for 60s. After bumping, the next /api/telos/freshness/summary call returns the cached value until invalidation. Send /reload (POST) to invalidate the cache immediately, or wait 60s.
  • TelosRenderer (GenerateTelosSummary.ts) preserves the markers. It splits by ^## headings; the per-section HTML comments live inside the section body and are not re-emitted in PRINCIPAL_TELOS.md. Safe to run after edits.
  • The scanner shares the freshness reader. InterviewScan.ts calls readTelosFreshness() once at startup and adds age_days, threshold_days, stale to every Phase 1+ target row. Stale sections get a +200 priority bump so they naturally rise in --next output.
  • Voice notifications are "only on actual writes." Don't voice-confirm every prompt — only after a real Edit lands. The voice channel is a low-frequency signal; preserving that is what makes it land when it matters.

Examples

  • "/interview" on a populated system → routing probe via InterviewScan.ts, then ContextCheckin walking the stalest sections first ("G2 is 95 days old — still right?").
  • "what's stale?" → freshness summary from TelosFreshness, prioritized list, no edits unless approved.
  • Fresh install (DA name still "LifeOS", PROJECTS sample-row only) → Phase0Setup first, then ContextCheckin.

Related

  • /Telos — edit a single TELOS section directly (without the conversational walk).
  • /Migrate — intake content from other sources (one-shot classification, not an interview).
  • an identity-profile skill — manage PRINCIPAL_IDENTITY directly.
  • Skill("ISA") — interview an ISA (different artifact, different workflow).

Workflows & Routing · 3

Each workflow is one job the skill runs. The trigger phrases route your request to the right one — this is the skill's routing table.

  1. 01
    ContextCheckin Workflows/ContextCheckin.md

    default /interview on a populated system; context check-in, telos check-in, whats stale, how are we doing on…, still on…, review context

  2. 02
    Phase0Setup Workflows/Phase0Setup.md

    fresh install; DA name still reads LifeOS; PRINCIPAL_IDENTITY still reads User; PROJECTS sample-row only; .env missing required keys

  3. 03
    TelosCheckin *(deprecated stub)* Workflows/TelosCheckin.md` (redirects to ContextCheckin)

    back-compat for explicit telos checkin routing

How to Invoke

Say any of these to your DA and LifeOS activates the Interview skill automatically:

  • "/interview"
  • "resume interview"
  • "context check-in"
  • "telos check-in"
  • "what's stale"
  • "stale data"
  • "freshness check"
  • "update current state"
  • "update my current state"
  • "state sync"
  • "statusline says interview due"
  • "interview due"
  • "review TELOS"
  • "update ideal state"

Or invoke explicitly:

Skill("Interview")

Want LifeOS to do this for you?

Install LifeOS on your machine — your DA gets the Interview skill plus 55 others, all hooked into one Life OS.