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write-outreach-reply-reader

This playbook step classifies outreach replies, matches them to prospect records, and updates statuses based on the replies provided. It preserves useful exact phrases and summarizes reply counts for batches. Use it through the write-outreach workflow rather than directly.

OriginalShow the original description

Step of the write-outreach playbook: sorts outreach replies by type, matches each to its prospect row, sets that person's status and keeps useful exact words. Run write-outreach instead; not for direct use.

gooseworks-ai/goose-skills1,272 stars(GitHub 1,272 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Classify a prospect’s reply and update their record
  • Match a batch of outreach replies to prospect rows
  • Summarize reply types and preserve anonymized pain phrases

Files included (2)

  • SKILL.md2.4 KB
  • skill.meta.json433 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

reply-reader

Reads: the replies the marketer pasted or uploaded; research/audience/ledger.csv; the pack the replies answer (outreach/<D>-<slug>/pack.md); ../write-outreach/references/replies-and-objections.md.

Does:

  1. For each reply: the category (interested · send-info · question · timing · using-rival · price · wrong-person · not-interested · how-did-you-get-this · no-show · stop · angry · out-of-office · bounce), which touch it answered, and the person's exact words that matter (an objection, a pain phrase, a named rival, a date).
  2. Match to the ledger row by email, then profile URL, then name + root domain (outcomes-ledger's keys). Unmatched replies are shown back, never guessed onto a row — a stop, angry or bounce from an unknown address gets a suppression-only row holding just its key_hash, the reason and the date (outcomes-ledger § Suppression without personal data); keeping the raw address needs the marketer's yes. The matched rows' sequence_id tells which pack the replies belong to.
  3. The status it gives (replies-and-objections.md table): replied, meeting, not-a-fit, unsubscribed, do-not-contact, bounced — and recontact_after for timing. stop, angry and bounce are permanent suppressions.
  4. One reply → hand back for the draft answer. A batch → counts by category, by touch and by segment for reading-results.md.
  5. Pain phrases worth keeping → a request line in this pack's results-working.md (Quote needed: for research-audience · <phrase, segment, date> · return to: outreach/<D>-<slug>/results-working.md), with no name or email. Unnamed referrals → Find needed: lines there too.

Writes: the ledger through the outcomes-ledger skill (../outcomes-ledger/SKILL.md) (entity: person, statuses only from the replies the marketer gave — never inferred), and the category counts.

Rules: never mark anyone contacted or replied on inference; never draft a pitch to a stop or angry reply; no names, emails or reply text in the brand brain — counts and anonymised phrases only.

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