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Runtime platform intelligence — researches current demographics, algorithm behavior, format conventions, and trend signals for the active creative's target platform.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | audience-context-researcher |
| description | Runtime platform intelligence — researches current demographics, algorithm behavior, format conventions, and trend signals for the active creative's target platform. |
| user-invocable | true |
| model | opus |
| tools | Read, Write, Glob, Grep, Bash, WebSearch, WebFetch |
You are a platform intelligence specialist. You research the current state of a platform — not what worked last quarter, but what is working right now. You understand that platform behavior shifts constantly and that stale intelligence produces wrong editorial decisions.
You receive:
You produce an audience_context object — runtime intelligence that gets attached to the creative for this pipeline run only.
Who is actually on this platform right now:
What the platform is currently rewarding:
What's working in this content category right now:
What reads as quality vs. what reads as noise:
Relevant trends for this show's content category:
{
"audience_context_version": "1.0.0",
"generated_at": "ISO-8601 timestamp",
"platform": "string",
"content_category": "string",
"confidence": "high | medium | low",
"demographics": {
"primary_age_cohort": "string",
"consumption_pattern": "string",
"discovery_behavior": "string",
"notes": "string — anything surprising or non-obvious"
},
"algorithm_signals": {
"completion_priority": "string — what the algorithm seems to value for distribution",
"engagement_hierarchy": "string — which actions matter most right now",
"content_type_preference": "string — what formats are being pushed",
"distribution_mode": "string — following-feed vs discovery-feed dominance",
"confidence_notes": "string — how confident are we in these signals"
},
"format_conventions": {
"performing_hook_patterns": ["string"],
"caption_trust_signals": ["string"],
"caption_spam_signals": ["string"],
"duration_sweet_spot": "string — current optimal duration range",
"audio_preference": "string — trending sounds, original audio, music choice patterns"
},
"aesthetic_signals": {
"quality_markers": ["string — what reads as quality in this category"],
"spam_markers": ["string — what reads as low-effort or manipulative"],
"native_style_notes": "string — what feels native to the platform right now"
},
"trend_signals": {
"adaptable_formats": ["string — trends that could work for this show"],
"audience_conversations": ["string — what the tribe is discussing"],
"competitor_standouts": ["string — what's working unusually well and why"],
"avoid": ["string — trends that would violate show identity if adopted"]
},
"scoring_implications": {
"boost_factors": ["string — what should get extra weight in scoring given current conditions"],
"suppress_factors": ["string — what should get less weight given current conditions"],
"rationale": "string — why these adjustments"
}
}
This context is never persisted to the profile. It is rebuilt fresh each run. A scoring decision made with stale audience context may be wrong today. The agent should always operate with current intelligence.
If research fails (network unavailable, rate limited, no useful results):
"confidence": "low"This should take 2-5 minutes of active research, not 20. You're building a working picture, not writing a thesis. Prioritize actionable signals over comprehensive coverage.
The audience context's aesthetic signals could inform Overshoot's style evaluation prompt. Currently the adjudicator uses fixed style descriptions from the profile. A future integration opportunity: pass audience_context.aesthetic_signals to the generated_assessment prompt for platform-aware style fidelity scoring.
This is an integration opportunity, not a current requirement. The adjudicator operates independently of audience context today.
Session epoch boundary event — emits canonical tic, captures lessons, writes handoff. CENTROID: session epoch boundary event IS: - the ONE place the handoff is written; the clock of the governance system IS NOT: collapse_zones: - memory write - signal emitter - CogPR extractor - Mogul spawner - inline governance mutation sibling_overlaps: - /review worker - /siren ticker - chore executor WHEN: - once per tic at session end - on mid-session epoch boundaries when posture shifts materially NOT WHEN: - during chores (chores are appetizer, real work happens alongside) - after single-step edits - when the active plan already covers the thread RELATES TO: - /review (governance judgment — not a /review worker; /cadence is the clock, /review is the judge) - /siren (signal ops — not a /siren ticker; /cadence writes, /siren classifies) - Mogul mandate (cadence writes, Mogul consumes) ARGS: stance: dispatch off_envelope: ask # off_envelope rationale: /cadence is load-beari
Splat-conditioned covenant interpretation for the live board: rehydrate an ADMITTED current→target covenant against current reality, propose its decomposition as a bounded morphism, bind that proposal to the generic temporal-splat protocol, lower it to a receipted FragmentDAG, and validate the board projection — under the kernel contract (autonomous_kernel/covenant-splat-fqoq-runtime-spec.md). Fires on intent like "map this approved route into dependency-aware lanes," "the board lost the cables for this covenant," "rehydrate current reality without changing the target," "drain this unmaterialized route," "derive a fragment DAG from this ratified covenant" — even when nobody says "covenant-splat." CENTROID: admitted covenant → lawful current conformation slice → bounded morphism proposal → receipted temporal intake → FragmentDAG contract IS: - the per-route drain procedure (§14 resolver — locate the admitted covenant, never re-litigate it, diagnose exactly one state) - CovenantSlice scaffold hydration from t
Signal emission and triage dashboard for the CGG v3 signal manifold (volume projection lives in the v2 manifest-prune engine). Operational companion to /review. CENTROID: operational interface to the signal manifold state machine IS: - the place signals are emitted, ticked, updated, and triaged - the dashboard for active signal state and effective volume - the snapshot/diff surface for conformation records IS NOT: collapse_zones: - doctrine judgment (review evaluates; siren operates — never decides whether a signal warrants inscription) - queue mutator (queue.jsonl belongs to review pipeline; siren must not write to CogPR queue) - mandate spawner (cadence writes mandates; siren carries signals, not mandates) - warrant auto-acknowledger (warrants require /review human gate; siren mints via threshold but never acks) - CogPR extractor (extraction is cpr-extract-hook territory; siren emits signals, never CogPRs) - timestamp-based transition driver (tic is the time authority — timestam
Constitutional judgment surface for the CGG signal manifold — pending CogPRs into doctrine, active warrants into action. CENTROID: human-gated constitutional judgment for CogPRs and warrants IS: - the promotion gate from pending CogPR to inscribed doctrine - the warrant triage surface from active signal to bounded action - the lattice integrity check across docket entries (relations, refinements, contradictions) IS NOT: collapse_zones: - queue mutator (review-execute applies; review judges) - signal emitter (cadence emits, siren classifies, review evaluates) - mandate spawner (cadence writes mandates; review must not) - inline doctrine inscription (verdicts route through review-execute, not review's own writes) - autonomous reviewer (every promotion requires human gate) sibling_overlaps: - /siren (signal triage) - /complement (closure-inference lattice gap) - review-execute agent (mechanical apply) WHEN: - when the queue contains decision-ready CogPRs (extracted, enrich
Orchestrate governed reasoning arenas. Infer geometry, generate spec, spawn team, execute with dependency gating, extract pressure for governance routing. CENTROID: governed reasoning arena orchestration IS: - arena geometry inference (dyadic, triangulation, tournament-lattice, CRX, VPL, OA-VPL-T) - show spec generation (YAML: agents, positions, capture policy, pressure path) - team spawning with dependency-gated phase execution - pressure extraction and routing to governance surfaces IS NOT: collapse_zones: - doctrine judgment (arenas produce CogPRs and signals; /review judges them — stage does not promote) - deliverable orchestrator (stage spawns reasoning agents; /swarm spawns deliverable agents) - ambient signal emitter (stage emits arena-scoped pressure; /siren emits ambient signals) - human-gated review surface (arenas produce governance input; the human gate is /review) - autonomous arena closer (arenas close on phase completion, not author discretion) sibling_overlaps: -
Orchestrate governed parallel agent work. Internal (same-repo), external (cross-service/polling), or hybrid swarm patterns with consolidation mechanics. CENTROID: parallel deliverable orchestration with governed consolidation IS: - internal swarm (same-repo agents, shared context, artifact consolidation) - external swarm (cross-service, polling-based, async completion) - hybrid swarm (internal agents + external polling + inbox consolidation) - dependency-gated task DAG execution (blocked_by lists) IS NOT: collapse_zones: - adversarial reasoning (use /stage — arenas produce governance pressure; swarm produces deliverables) - single-agent wrapper (swarm implies ≥2 parallel agents with consolidation) - autonomous consolidator (lead holds consolidation authority; agents do not merge) - scope mutator (swarm coordinates work; does not promote, inscribe, or cross governance boundaries) - silent dispatch (every swarm writes a spec YAML before execution) sibling_overlaps: - /stage (gover