cross-channel-daily-review

Create a simple, repeatable daily review workflow across whatever conversation surfaces are available. Use when a user wants one raw note per source, one merged daily summary, index maintenance, verification, and an optional short management update for a preferred destination. Best for recurring 24-hour review workflows that should stay reusable, channel-agnostic, easy to verify, and safe to publish.

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Install skill "cross-channel-daily-review" with this command: npx skills add panpansirius-cloud/cross-channel-daily-review

Cross-Channel Daily Review

Overview

Use this skill to run a reusable, channel-agnostic daily review workflow:

  1. Discover or accept a set of channels.
  2. Create one raw review file per channel.
  3. Generate one synthesized cross-channel review.
  4. Update a machine-readable index.
  5. Generate a boss-mode summary for one primary delivery channel.
  6. Verify outputs before claiming success.

Default design:

  • Primary destination: use the configured preferred destination if present
  • Delivery mode: boss-primary
  • Review window: last 24 hours
  • Missing sources: record explicitly; never silently skip them.

When to use this skill

Use this skill when the user asks for any of the following:

  • “做全渠道每日复盘 / daily cross-channel review”
  • “把不同渠道分别复盘,再统一汇总”
  • “老板模式摘要 / boss summary / management summary”
  • “把 raw、synthesized、index 都生成出来”
  • “让这个流程可复用、可发布、可适配不同渠道”
  • “每天固定时间自动复盘并推送”

Workflow

Step 1 — Resolve channels

First decide the channel set:

  • Prefer auto-discovery from available sessions, delivery contexts, or user-provided channel list.
  • If the user explicitly names channels, trust that list.
  • Do not hardcode a small fixed list of apps as the only valid sources.
  • Normalize source names to lowercase slugs that match the environment.

Read references/channel-adapter-spec.md before implementing or extending channel handling.

Step 2 — Collect and normalize channel evidence

For each candidate channel, gather:

  • time window
  • source references (session path, session key, channel id, or equivalent)
  • conversational scope inside the channel (DM / group / thread / room / topic)
  • participant shape (single bot, multi-bot, workflow group chat, etc.) when knowable
  • a concise raw excerpt or evidence summary
  • collection status: active | configured | missing | collection_failed

Normalize each channel into the common object shape described in references/channel-adapter-spec.md.

Important:

  • do not assume one channel has only one bot
  • do not assume one channel maps to one conversation
  • support multiple bots and multiple sessions inside the same channel scope

Step 3 — Write raw review files

Write one file per channel under:

memory/daily-review/raw/YYYY/MM/<channel>_YYYY-MM-DD.md

Use scripts/write_raw_reviews.py with normalized JSON when possible.

Rules:

  • Always write one file per resolved channel.
  • If a channel has no confirmed data, still write a file with 状态:未检出 or failure reason.
  • Include the checked sources. Do not silently omit missing channels.

Template: assets/raw-template.md

Step 4 — Generate the synthesized review

Create exactly one synthesized report for the date:

memory/daily-review/synthesized/YYYY/MM/YYYY-MM-DD.md

The report must cover these 5 dimensions:

  1. ❌ 做错了什么
  2. ⚠️ 没做好的地方
  3. ✅ 做得好的地方
  4. 📝 遗漏事项
  5. 💡 改进建议

Use assets/synthesized-template.md and references/review-dimensions.md.

Step 5 — Update the index

Update or append the record in:

memory/daily-review/index.json

Prefer scripts/update_index.py.

Index records should capture at least:

  • date
  • active channels
  • missing channels
  • synthesized file path
  • boss summary path (if built)
  • verification status

Step 6 — Build boss-mode summary

Build a shorter management summary from the synthesized report.

Default behavior:

  • delivery_mode = boss-primary
  • boss_channel = primary

If the user configured a preferred destination, use it. If that destination is unavailable, fallback to the first verified available destination and state that clearly.

Use scripts/build_boss_summary.py and assets/boss-summary-template.md.

Step 7 — Verify before reporting success

Run verification with scripts/verify_outputs.py before claiming completion.

Minimum checks:

  • raw files exist for all resolved channels
  • synthesized file exists and is non-empty
  • index updated successfully
  • boss summary exists if requested
  • delivery target resolved successfully

Never report “done” without verification output.

Delivery modes

Read references/delivery-modes.md when choosing output behavior.

Supported modes:

  • boss-primary — send only to one primary channel; default
  • broadcast — send to multiple channels
  • generate-only — write outputs but do not push externally

Formatting rules

Read references/formatting-standard.md when generating user-visible summaries.

Hard rules:

  • Keep sections clearly separated.
  • One major numbered point per paragraph block.
  • Do not collapse everything into one dense wall of text.
  • Put the final action checklist in a standalone text code block when needed.

Failure handling

Read references/failure-handling.md when anything is missing or degraded.

Important:

  • Distinguish missing from collection_failed.
  • Distinguish “no recent data” from “channel not configured”.
  • If delivery falls back from a preferred destination to another verified destination, state it explicitly.

Resources

scripts/

  • discover_channels.py — scan real OpenClaw session transcripts and produce channel candidates
  • score_discovery_confidence.py — attach confidence scores to channel/scope inference results
  • normalize_channel_data.py — normalize channel metadata to one schema
  • write_raw_reviews.py — write per-channel raw review markdown files
  • update_index.py — create/update index.json (daily / weekly / monthly)
  • synthesize_review.py — generate one synthesized cross-channel review from normalized scope-aware data
  • render_periodic_summary.py — generate weekly or monthly rollup summaries
  • plan_retention.py — produce retention/archive candidates from index policy
  • verify_retention_readiness.py — check whether a month is ready for archive/cleanup
  • archive_daily_layer.py — archive eligible daily raw / synthesized / boss outputs into archive tree
  • mark_archived_records.py — mark archived daily records inside index metadata
  • render_cron_plan.py — render the recommended cron automation chain for this skill
  • run_retention_cycle.py — run planner + readiness + archive + mark as one lifecycle step
  • build_boss_summary.py — render management summary markdown from synthesized metadata
  • resolve_delivery_target.py — resolve requested destination with safe fallback
  • verify_outputs.py — verify expected outputs exist and are non-empty

references/

  • architecture.md — system model and data flow
  • channel-adapter-spec.md — normalized channel schema and adapter contract
  • review-dimensions.md — criteria for the 5 review dimensions
  • delivery-modes.md — boss-primary / broadcast / generate-only
  • formatting-standard.md — user-visible formatting rules
  • failure-handling.md — status model and fallback behavior
  • lifecycle-automation.md — archive-first lifecycle stages and recommended automation chain
  • release-readiness.md — what is strong now vs what is still pre-release
  • known-limitations.md — current gaps and intentionally disabled behavior
  • validation-report.md — verified behaviors and remaining checks before public upload

assets/

  • raw-template.md
  • synthesized-template.md
  • boss-summary-template.md
  • index-template.json

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