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pod-sales

Dry-run one cycle of a sales agent workflow without calling language models. Validate the template and agent types, check budget reservations, generate agent prompts, and record a structured status summary for downstream automation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Run one tick of the sales business-pod (ADR-164 §4.1, Phase 2). Loads templates/sales.json, validates it against the pod-schema, resolves agents against ruflo's agent registry, reserves budget via the Phase-2 file-based stub ledger (atomic SQLite tracker is Phase 3 per ADR-164.1), constructs per-agent dry-run prompts, posts a summary envelope to room "sales" via the federation_bbs_publish JSONL backing store, and emits a structured {podName, tickId, agentsRan, totalUsd, envelopeId, status} line for /loop ingestion. Dry-run by default; --live is reserved for Phase 3.

ruvnet/ruflo
설치 방법 보기

이럴 때 유용합니다

  • Demonstrating one cycle of a sales agent workflow
  • Checking template validity and agent types
  • Verifying budget caps and reservations
  • Checking status records for scheduled automation

포함된 파일(1)

  • SKILL.md3.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Surfaces pod-tick.mjs as a single-shot skill for the sales pod. Use when Claude Code needs to demonstrate, smoke-test, or schedule one iteration of the sales autopilot without spawning real LLM workers.

Algorithm

Implementation: scripts/pod-tick.mjs.

  1. Parse args (--pod-template, --base-path, --dry-run / --live, --budget-cap-usd, --tick-id). --live is refused with exit code 3 in Phase 2.
  2. Load the pod template JSON (default: templates/sales.json).
  3. Validate via validatePodTemplate(json) — schema in v3/@claude-flow/cli/src/business-pods/pod-schema.ts and inlined in pod-tick.mjs so the script runs without a built CLI. Throws with a JSON-pointer path on the first violation.
  4. Resolve every agent.agentType against KNOWN_AGENT_TYPES. Unknown types abort with exit code 2 and an actionable error.
  5. Reserve min(budgetUsdPerRun, --budget-cap-usd) USD against the file-based ledger at <base-path>/budget/<roomId>.json. Honors reservationExpiryMs (default 60_000 ms, bounded to [5000, 300000] per ADR-164.1 §3.2). TODO(adr-164.1): swap the file ledger for the atomic SQLite tracker in Phase 3.
  6. Build per-agent prompts (kickoff scoped to the bench description + pod's PII policy). In --dry-run they are logged to stderr and the model is never invoked.
  7. Commit the reservation. Dry-run actual = $0; live actual = the reserved amount (Phase 3 wires real claude -p --max-budget-usd reporting).
  8. Append a pod-status envelope to the Phase-1 backing store at <base-path>/.agentbbs/room-<derivedRoomId>.jsonl so subsequent federation_bbs_watch calls see the tick.
  9. Emit a single JSON line on stdout: {podName, tickId, agentsRan, totalUsd, envelopeId, status}.

Exit codes

  • 0 — tick succeeded (status === 'success')
  • 2 — invalid template / unknown agent type / budget exhausted / arg error
  • 3 — --live requested (refused in Phase 2)

Phase 3 surfaces (not in this build)

  • --live mode: dispatch each prompt through claude -p headless or a Managed Agent and capture the actual --max-budget-usd reported spend.
  • Atomic SQLite budget tracker (ADR-164.1 §3.2).
  • Multi-pod variants (pod-marketing, pod-finance, ...) — each gets its own skill once Phase 3 ships.

리뷰

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