Agent skill
deep-interview
Socratic deep interview with mathematical ambiguity gating before execution
Install this agent skill to your Project
npx add-skill https://github.com/Yeachan-Heo/oh-my-codex/tree/main/skills/deep-interview
SKILL.md
<Use_When>
- The request is broad, ambiguous, or missing concrete acceptance criteria
- The user says "deep interview", "interview me", "ask me everything", "don't assume", or "ouroboros"
- The user wants to avoid misaligned implementation from underspecified requirements
- You need a requirements artifact before handing off to
ralplan,autopilot,ralph, orteam</Use_When>
<Do_Not_Use_When>
- The request already has concrete file/symbol targets and clear acceptance criteria
- The user explicitly asks to skip planning/interview and execute immediately
- The user asks for lightweight brainstorming only (use
planinstead) - A complete PRD/plan already exists and execution should start </Do_Not_Use_When>
<Why_This_Exists> Execution quality is usually bottlenecked by intent clarity, not just missing implementation detail. A single expansion pass often misses why the user wants a change, where the scope should stop, which tradeoffs are unacceptable, and which decisions still require user approval. This workflow applies Socratic pressure + quantitative ambiguity scoring so orchestration modes begin with an explicit, testable, intent-aligned spec. </Why_This_Exists>
<Depth_Profiles>
- Quick (
--quick): fast pre-PRD pass; target threshold<= 0.30; max rounds 5 - Standard (
--standard, default): full requirement interview; target threshold<= 0.20; max rounds 12 - Deep (
--deep): high-rigor exploration; target threshold<= 0.15; max rounds 20 - Autoresearch (
--autoresearch): same interview rigor as Standard, but specialized foromx autoresearchlaunch readiness and.omx/specs/mission/sandbox artifact handoff
If no flag is provided, use Standard.
<Mode_Flags>
--autoresearch: switch the interview into autoresearch-intake mode foromx autoresearchhandoff. In this mode, the interview should converge on a launch-ready research mission, write canonical artifacts under.omx/specs/, and preserve the explicitrefine furthervslaunchboundary for downstream CLI intake. </Mode_Flags> </Depth_Profiles>
<Execution_Policy>
- Ask ONE question per round (never batch)
- Ask about intent and boundaries before implementation detail
- Target the weakest clarity dimension each round after applying the stage-priority rules below
- Treat every answer as a claim to pressure-test before moving on: the next question should usually demand evidence or examples, expose a hidden assumption, force a tradeoff or boundary, or reframe root cause vs symptom
- Do not rotate to a new clarity dimension just for coverage when the current answer is still vague; stay on the same thread until one layer deeper, one assumption clearer, or one boundary tighter
- Before crystallizing, complete at least one explicit pressure pass that revisits an earlier answer with a deeper, assumption-focused, or tradeoff-focused follow-up
- Gather codebase facts via
explorebefore asking user about internals - When session guidance enables
USE_OMX_EXPLORE_CMD, preferomx explorefor simple read-only brownfield fact gathering; keep prompts narrow and concrete, and keep ambiguous or non-shell-only investigation on the richer normal path and fall back normally ifomx exploreis unavailable. - Always run a preflight context intake before the first interview question
- Reduce user effort: ask only the highest-leverage unresolved question, and never ask the user for codebase facts that can be discovered directly
- For brownfield work, prefer evidence-backed confirmation questions such as "I found X in Y. Should this change follow that pattern?"
- In Codex CLI, prefer
request_user_inputwhen available; if unavailable, fall back to concise plain-text one-question turns - Re-score ambiguity after each answer and show progress transparently
- Do not hand off to execution while ambiguity remains above threshold unless user explicitly opts to proceed with warning
- Do not crystallize or hand off while
Non-goalsorDecision Boundariesremain unresolved, even if the weighted ambiguity threshold is met - Treat early exit as a safety valve, not the default success path
- Persist mode state for resume safety (
state_write/state_read) </Execution_Policy>
Phase 0: Preflight Context Intake
- Parse
{{ARGUMENTS}}and derive a short task slug. - Attempt to load the latest relevant context snapshot from
.omx/context/{slug}-*.md. - If no snapshot exists, create a minimum context snapshot with:
- Task statement
- Desired outcome
- Stated solution (what the user asked for)
- Probable intent hypothesis (why they likely want it)
- Known facts/evidence
- Constraints
- Unknowns/open questions
- Decision-boundary unknowns
- Likely codebase touchpoints
- Save snapshot to
.omx/context/{slug}-{timestamp}.md(UTCYYYYMMDDTHHMMSSZ) and reference it in mode state.
Phase 1: Initialize
- Parse
{{ARGUMENTS}}and depth profile (--quick|--standard|--deep). - Detect project context:
- Run
exploreto classify brownfield (existing codebase target) vs greenfield. - For brownfield, collect relevant codebase context before questioning.
- Run
- Initialize state via
state_write(mode="deep-interview"):
{
"active": true,
"current_phase": "deep-interview",
"state": {
"interview_id": "<uuid>",
"profile": "quick|standard|deep",
"type": "greenfield|brownfield",
"initial_idea": "<user input>",
"rounds": [],
"current_ambiguity": 1.0,
"threshold": 0.3,
"max_rounds": 5,
"challenge_modes_used": [],
"codebase_context": null,
"current_stage": "intent-first",
"current_focus": "intent",
"context_snapshot_path": ".omx/context/<slug>-<timestamp>.md"
}
}
- Announce kickoff with profile, threshold, and current ambiguity.
Phase 2: Socratic Interview Loop
Repeat until ambiguity <= threshold, the pressure pass is complete, the readiness gates are explicit, the user exits with warning, or max rounds are reached.
2a) Generate next question
Use:
- Original idea
- Prior Q&A rounds
- Current dimension scores
- Brownfield context (if any)
- Activated challenge mode injection (Phase 3)
Target the lowest-scoring dimension, but respect stage priority:
- Stage 1 — Intent-first: Intent, Outcome, Scope, Non-goals, Decision Boundaries
- Stage 2 — Feasibility: Constraints, Success Criteria
- Stage 3 — Brownfield grounding: Context Clarity (brownfield only)
Follow-up pressure ladder after each answer:
- Ask for a concrete example, counterexample, or evidence signal behind the latest claim
- Probe the hidden assumption, dependency, or belief that makes the claim true
- Force a boundary or tradeoff: what would you explicitly not do, defer, or reject?
- If the answer still describes symptoms, reframe toward essence / root cause before moving on
Prefer staying on the same thread for multiple rounds when it has the highest leverage. Breadth without pressure is not progress.
Detailed dimensions:
- Intent Clarity — why the user wants this
- Outcome Clarity — what end state they want
- Scope Clarity — how far the change should go
- Constraint Clarity — technical or business limits that must hold
- Success Criteria Clarity — how completion will be judged
- Context Clarity — existing codebase understanding (brownfield only)
Non-goals and Decision Boundaries are mandatory readiness gates. Ask about them early and keep revisiting them until they are explicit.
2b) Ask the question
Use structured user-input tooling available in the runtime (AskUserQuestion / equivalent) and present:
Round {n} | Target: {weakest_dimension} | Ambiguity: {score}%
{question}
2c) Score ambiguity
Score each weighted dimension in [0.0, 1.0] with justification + gap.
Greenfield: ambiguity = 1 - (intent × 0.30 + outcome × 0.25 + scope × 0.20 + constraints × 0.15 + success × 0.10)
Brownfield: ambiguity = 1 - (intent × 0.25 + outcome × 0.20 + scope × 0.20 + constraints × 0.15 + success × 0.10 + context × 0.10)
Readiness gate:
Non-goalsmust be explicitDecision Boundariesmust be explicit- A pressure pass must be complete: at least one earlier answer has been revisited with an evidence, assumption, or tradeoff follow-up
- If either gate is unresolved, or the pressure pass is incomplete, continue interviewing even when weighted ambiguity is below threshold
2d) Report progress
Show weighted breakdown table, readiness-gate status (Non-goals, Decision Boundaries), and the next focus dimension.
2e) Persist state
Append round result and updated scores via state_write.
2f) Round controls
- Do not offer early exit before the first explicit assumption probe and one persistent follow-up have happened
- Round 4+: allow explicit early exit with risk warning
- Soft warning at profile midpoint (e.g., round 3/6/10 depending on profile)
- Hard cap at profile
max_rounds
Phase 3: Challenge Modes (assumption stress tests)
Use each mode once when applicable. These are normal escalation tools, not rare rescue moves:
- Contrarian (round 2+ or immediately when an answer rests on an untested assumption): challenge core assumptions
- Simplifier (round 4+ or when scope expands faster than outcome clarity): probe minimal viable scope
- Ontologist (round 5+ and ambiguity > 0.25, or when the user keeps describing symptoms): ask for essence-level reframing
Track used modes in state to prevent repetition.
Phase 4: Crystallize Artifacts
When threshold is met (or user exits with warning / hard cap):
- Write interview transcript summary to:
.omx/interviews/{slug}-{timestamp}.md
(kept for ralph PRD compatibility)
- Write execution-ready spec to:
.omx/specs/deep-interview-{slug}.md
Spec should include:
- Metadata (profile, rounds, final ambiguity, threshold, context type)
- Context snapshot reference/path (for ralplan/team reuse)
- Clarity breakdown table
- Intent (why the user wants this)
- Desired Outcome
- In-Scope
- Out-of-Scope / Non-goals
- Decision Boundaries (what OMX may decide without confirmation)
- Constraints
- Testable acceptance criteria
- Assumptions exposed + resolutions
- Pressure-pass findings (which answer was revisited, and what changed)
- Brownfield evidence vs inference notes for any repository-grounded confirmation questions
- Technical context findings
- Full or condensed transcript
Autoresearch specialization
When the clarified task is specifically about omx autoresearch, or the skill is invoked with --autoresearch, keep the interview domain-specific and emit launch-consumable artifacts without skipping clarification.
- Accepted seed inputs:
topic,evaluator,keep-policy,slug, existing mission draft text, and prior evaluator examples/templates - Required interview focus: mission clarity, evaluator readiness, keep policy, slug/session naming, and whether the draft is ready to launch now or should refine further
- Canonical artifact path:
.omx/specs/deep-interview-autoresearch-{slug}.md - Launch artifact bundle:
.omx/specs/autoresearch-{slug}/mission.md,.omx/specs/autoresearch-{slug}/sandbox.md, and.omx/specs/autoresearch-{slug}/result.json - Launch artifact directory:
.omx/specs/autoresearch-{slug}/ - Required artifact sections:
Mission DraftEvaluator DraftLaunch ReadinessSeed InputsConfirmation Bridge
- Required launch artifacts under
.omx/specs/autoresearch-{slug}/:mission.mdsandbox.mdresult.json
- Launch-readiness rule: mark the draft as not launch-ready while the evaluator command still contains placeholder markers such as
<...>,TODO,TBD,REPLACE_ME,CHANGEME, oryour-command-here - Structured result contract:
result.jsonshould point to the draft + mission/sandbox artifacts and carry the finalizedtopic,evaluatorCommand,keepPolicy,slug,launchReady, andblockedReasonsfields soomx autoresearchcan consume it directly - Confirmation bridge: after artifact generation, offer at least
refine furtherandlaunch; do not launch detached tmux until the user explicitly confirmslaunch - Handoff rule: downstream execution must preserve the clarified mission intent, evaluator expectations, decision boundaries, and launch-readiness status from this artifact rather than bypassing the draft review step
Phase 5: Execution Bridge
Present execution options after artifact generation using explicit handoff contracts. Treat the deep-interview spec as the current requirements source of truth and preserve intent, non-goals, decision boundaries, acceptance criteria, and any residual-risk warnings across the handoff.
1. $ralplan (Recommended)
- Input Artifact:
.omx/specs/deep-interview-{slug}.md(optionally accompanied by the transcript/context snapshot for traceability) - Invocation:
$plan --consensus --direct <spec-path> - Consumer Behavior: Treat the deep-interview spec as the requirements source of truth. Do not repeat the interview by default; refine architecture/feasibility around the clarified intent and boundaries instead.
- Skipped / Already-Satisfied Stages: Requirements discovery, ambiguity clarification, and early intent-boundary elicitation
- Expected Output: Canonical planning artifacts under
.omx/plans/, especiallyprd-*.mdandtest-spec-*.md - Best When: Requirements are clear enough to stop interviewing, but architectural validation / consensus planning is still desirable
- Next Recommended Step: Use the approved planning artifacts with
$autopilot,$ralph, or$teamdepending on the desired execution style
2. $autopilot
- Input Artifact:
.omx/specs/deep-interview-{slug}.md - Invocation:
$autopilot <spec-path> - Consumer Behavior: Use the deep-interview spec as the clarified execution brief. Preserve intent, non-goals, decision boundaries, and acceptance criteria as binding context for planning/execution.
- Skipped / Already-Satisfied Stages: Initial requirement discovery and ambiguity reduction
- Expected Output: Planning/execution progress, QA evidence, and validation artifacts produced by autopilot
- Best When: The clarified spec is already strong enough for direct planning + execution without an additional consensus gate
- Next Recommended Step: Continue through autopilot's execution/QA/validation flow; if coordination-heavy execution emerges, prefer a follow-up
$teamor$ralphlane as appropriate
3. $ralph
- Input Artifact:
.omx/specs/deep-interview-{slug}.md - Invocation:
$ralph <spec-path> - Consumer Behavior: Use the spec's acceptance criteria and boundary constraints as the persistence target. Do not reopen requirements discovery unless the user explicitly asks to refine further.
- Skipped / Already-Satisfied Stages: Requirement interview, ambiguity clarification, and initial scope-definition work
- Expected Output: Iterative execution progress and verification evidence tracked against the clarified criteria
- Best When: The task benefits from persistent sequential completion pressure and the user wants execution to keep moving until the criteria are satisfied or a real blocker exists
- Next Recommended Step: Continue Ralph's persistence loop; if work expands into coordination-heavy lanes, hand off to
$teamand keep Ralph for verification continuity
4. $team
- Input Artifact:
.omx/specs/deep-interview-{slug}.md - Invocation:
$team <spec-path> - Consumer Behavior: Treat the spec as shared execution context for coordinated parallel work. Preserve the clarified intent, non-goals, decision boundaries, and acceptance criteria as common lane constraints.
- Skipped / Already-Satisfied Stages: Requirement clarification and early ambiguity reduction
- Expected Output: Coordinated multi-agent execution against the shared spec, with evidence that can later feed a Ralph verification pass when appropriate
- Best When: The task is large, multi-lane, or blocker-sensitive enough to justify coordinated parallel execution instead of a single persistent loop
- Next Recommended Step: Follow the team verification path when the coordinated execution phase finishes; escalate to a separate Ralph loop only when a later persistent verification/fix owner is still needed
5. Refine further
- Input Artifact: Existing transcript, context snapshot, and current spec draft
- Invocation: Continue the interview loop
- Consumer Behavior: Re-enter questioning to resolve the highest-leverage remaining uncertainty
- Skipped / Already-Satisfied Stages: None beyond already-captured context
- Expected Output: A lower-ambiguity spec with tighter boundaries and fewer unresolved assumptions
- Best When: Residual ambiguity is still too high, the user wants stronger clarity, or the above-threshold / early-exit warning indicates too much risk to proceed cleanly
- Next Recommended Step: Return to one of the execution handoff contracts above once the spec is sufficiently clarified
Residual-Risk Rule: If the interview ended via early exit, hard-cap completion, or above-threshold proceed-with-warning, explicitly preserve that residual-risk state in the handoff so the downstream skill knows it inherited a partially clarified brief.
IMPORTANT: Deep-interview is a requirements mode. On handoff, invoke the selected skill using the contract above. Do NOT implement directly inside deep-interview.
<Tool_Usage>
- Use
explorefor codebase fact gathering - Use
request_user_input/ structured user-input tool for each interview round when available - If structured question tools are unavailable, use plain-text single-question rounds and keep the same stage order
- Use
state_write/state_readfor resumable mode state - Read/write context snapshots under
.omx/context/ - Save transcript/spec artifacts under
.omx/interviews/and.omx/specs/</Tool_Usage>
<Escalation_And_Stop_Conditions>
- User says stop/cancel/abort -> persist state and stop
- Ambiguity stalls for 3 rounds (+/- 0.05) -> force Ontologist mode once
- Max rounds reached -> proceed with explicit residual-risk warning
- All dimensions >= 0.9 -> allow early crystallization even before max rounds </Escalation_And_Stop_Conditions>
<Final_Checklist>
- Preflight context snapshot exists under
.omx/context/{slug}-{timestamp}.md - Ambiguity score shown each round
- Intent-first stage priority used before implementation detail
- Weakest-dimension targeting used within the active stage
- At least one explicit assumption probe happened before crystallization
- At least one persistent follow-up / pressure pass deepened a prior answer
- Challenge modes triggered at thresholds (when applicable)
- Transcript written to
.omx/interviews/{slug}-{timestamp}.md - Spec written to
.omx/specs/deep-interview-{slug}.md - Brownfield questions use evidence-backed confirmation when applicable
- Handoff options provided (
$ralplan,$autopilot,$ralph,$team) - No direct implementation performed in this mode </Final_Checklist>
[omx.deepInterview]
defaultProfile = "standard"
quickThreshold = 0.30
standardThreshold = 0.20
deepThreshold = 0.15
quickMaxRounds = 5
standardMaxRounds = 12
deepMaxRounds = 20
enableChallengeModes = true
Resume
If interrupted, rerun $deep-interview. Resume from persisted mode state via state_read(mode="deep-interview").
Recommended 3-Stage Pipeline
deep-interview -> ralplan -> autopilot
- Stage 1 (deep-interview): clarity gate
- Stage 2 (ralplan): feasibility + architecture gate
- Stage 3 (autopilot): execution + QA + validation gate </Advanced>
Task: {{ARGUMENTS}}
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
configure-notifications
Configure OMX notifications - unified entry point for all platforms
ultraqa
QA cycling workflow - test, verify, fix, repeat until goal met
build-fix
Fix build and TypeScript errors with minimal changes
ask-claude
Ask Claude via local CLI and capture a reusable artifact
tdd
Test-Driven Development enforcement skill - write tests first, always
analyze
Run deep investigation of architecture, bugs, performance issues, or dependencies and return structured findings with file:line evidence. Use when a user says 'analyze', 'investigate', 'why does', 'what's causing', or needs root cause analysis before making changes. Routes to architect agent or Codex MCP for thorough cross-file reasoning.
Didn't find tool you were looking for?